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Economic Manufacturing Quantity Model with Machine Failure,Overtime and Rework/Disposal of Nonconforming Items

Singa Wang Chiu Tiffany Chiu Yuan-Shyi Peter Chiu Hong-Dar Lin
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 3-16 | DOI: 10.24425/mper.2021.136867
Keywords optimization economic manufacturing quantity machine failure Scrap rework overtime
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Abstract

To increase their competitive advantage in turbulent marketplaces, contemporary manufacturers must show determination in seeking ways to: fulfill buyer orders with quality merchandise; meet deadlines; handle unexpected production disruptions; and lower the total relevant expense. To tackle the abovementioned challenges, this study explores an economic manufacturing quantity (EMQ) model with machine failure, overtime, and rework/disposal of nonconforming items; the goal is to find the best fabrication uptime that minimizes total relevant expenses. Specifically, we consider a production unit with overtime capacity as an operational feature that is linked to higher unit and setup costs. Further, its EMQ-based process is subject to random nonconforming items and failure rates. Extra screening separates the reworkable nonconforming items from scrap, and the rework is executed at the end of each cycle of regular fabrication. The failures follow a Poisson distribution, and a machine repair task starts as soon as a failure occurs; the fabrication of the lot that was interrupted resumes after the repair has been carried out. A decision model is built to capture the characteristics of the problem. Mathematical and optimization processes help in determining the optimal fabrication uptime. A numerical example not only illustrates the applicability of the research outcomes, but also reveals a diverse set of information about the individual or joint influences of deviations in mean-time-to-failure, overtime factors, and rework/disposal ratios linked to nonconforming rates related to the optimal replenishment uptime, total operating expenses, and various cost contributors; this facilitates better decision making.
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Authors and Affiliations

Singa Wang Chiu
1
Tiffany Chiu
2
Yuan-Shyi Peter Chiu
3
Hong-Dar Lin
3
  1. Faculty of Business Administration, Chaoyang University of Technology, Taichung City 413, Taiwan
  2. Faculty of Anisfield School of Business, Ramapo College of New Jersey, Mahwah, NJ 07430, USA
  3. Faculty of Industrial Engineering & Management, Chaoyang University of Technology, Taichung City 413, Taiwan

Forecasting the Development of RFID Technology

Bartlomiej Gladysz Donatella Corti Elias Montini
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 38-47 | DOI: 10.24425/mper.2021.136870
Keywords industry 4.0 technology management technology audit technology roadmap S-curves patents’ analysis RFID Industry 4.0
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Abstract

Industry 4.0 (I4) as a concept offers powerful opportunities for many businesses. The set of Industry 4.0 technologies is still discussed, and boundaries are not perfectly clear. However, implementation of Industry 4.0 concept becomes strategic principle, and necessary condition for succeeding on turbulent markets. Radio Frequency Identification (RFID) was used before I4 emerged. However, it should be treated as its important part and even enabler. The question arises how adoption of RFID was impacted by I4 paradigm. Therefore, to answer this question a set of technology management tools was selected and applied to forecast RFID potential development in forthcoming years. Moreover, case studies were conducted for technology management tools and their applications for RFID for qualitative discussion of its relevance. It aimed to prove that existing toolset should be applied for modern technologies related to I4. Tools were proven to be necessary and successful. However, some specific challenges were observed and discussed.
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Authors and Affiliations

Bartlomiej Gladysz
1
Donatella Corti
2
Elias Montini
2
  1. Warsaw University of Technology, Institute of Production Systems Organization, Warsaw, Poland
  2. University of Applied Science and Arts of Southern Switzerland, Department of Innovative Technologies

Contribution Overview to the Evaluation and Development of SpareParts Management Models: Meta-Heuristic and Probabilistic Methods

Oumaima Bounou Abdellah El Barkany Ahmed El Biyaali
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 24-37 | DOI: 10.24425/mper.2021.136869
Keywords Spare parts maintenance inventory management probabilistic methods metaheuristic methods, risk management performance metaheuristic methods
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Abstract

The presence of the spare parts stock is a necessity to ensure the continuity of services. The supply of spare parts is a special case of the global supply chain. The main objective of our research is to propose a global spare parts management approach which allows decision makers to determine the essential points in stock management. Thus, it is important for the stock manager to evaluate the system considered from time to time based on performance indicators. Some of these indicators are presented in the form of a dashboard. The presentation of this chapter chronologically traces the progress of our research work. In the first part, we present the work related to the forecast of spare parts needs through parametric and statistical methods as well as a Bayesian modelling of demand forecasting. To measure the appreciation of the supply of spare parts inventory, the second part focuses on work related to the evaluation of the performance of the spare parts system. Thus, we concretize the link between the management of spare parts and maintenance in the third part, more precisely, in the performance evaluation of the joint -management of spare parts and maintenance, in order to visualize the influence of parameters on the system. In the last section of this chapter, we will present the metaheuristic methods and their use in the management of spare parts and maintenance and make an analysis on work done in the literature.
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Authors and Affiliations

Oumaima Bounou
1
Abdellah El Barkany
1
Ahmed El Biyaali
1
  1. Mechanical Engineering Laboratory, Faculty of Science and Techniques, Morocco

Integration of the TRIZ Matrix and ANP to Select the Reactive Maintenance Tactics Using the Meta-Synthesis Approach

Mohammad Amin Mortazavi Atefeh Amindoust Arash Shahin Mehdi Karbasian
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 108-118 | DOI: 10.24425/mper.2021.136876
Keywords Reactive Maintenance Tactics TRIZ contradiction matrix Meta-synthesis Method ANP
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Abstract

So far, numerous studies have been published on the selection of appropriate maintenance tactics based on some factors affecting them such as time, cost, and risk. This paper aims to develop the TRIZ contradiction matrix by explaining the dimensions and components of each of the following Reactive maintenance tactics. The related findings of previous studies were analyzed by adopting “Rousseau and Sandoski” seven-step method to identify and extract the relationships between TRIZ principles and Reactive maintenance tactics. Thereafter, 5 Reactive maintenance tactics were replaced TRIZ’s 40 principles in the TRIZ contradiction matrix. Finally, the ANP method were used to extract and prioritize the appropriate Reactive maintenance tactics. The proposed matrix in this research was used in the desalination section of one of the oil companies to select on the appropriate Reactive maintenance tactics. The results of this research is useful for managers and maintenance specialists of units in making decisions to provide appropriate Reactive maintenance tactics for the desired equipment.
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Authors and Affiliations

Mohammad Amin Mortazavi
1
Atefeh Amindoust
1
Arash Shahin
2
Mehdi Karbasian
3
  1. Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
  2. Department of Management, University of Isfahan, Isfahan, Iran
  3. Department of Industrial Engineering, Malek-Ashtar University of Technology, Isfahan, Iran

The Synergic Relationship Between Industry 4.0 and Lean Management: Best Practices from the Literature

Beatrice Paiva Santos Daisy Valle Enrique Vinicius B.P. Maciel Tânia Miranda Lima Fernando Charrua-Santos Renata Walczak
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 94-107 | DOI: 10.24425/mper.2021.136875
Keywords industry 4.0 Lean Management advanced technology manufacturing management best practices Industry 4.0
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Abstract

Industry 4.0 promises to make manufacturing processes more efficient using modern technologies like cyber-physical systems, internet of things, cloud computing and big data analytics. Lean Management (LM) is one of the most widely applied business strategies in recent decades. Thus, implementing Industry 4.0 mostly means integrating technologies in companies that already operate according to LM. However, due to the novelty of the topic, research on how LM and Industry 4.0 can be integrated is still under development. This paper explores the synergic relationship between these two domains by identifying six examples of real cases that address LM-Industry 4.0 integration in the extant literature. The goal is to make explicit the best practices that are being implemented by six distinct industrial sectors
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Authors and Affiliations

Beatrice Paiva Santos
1
Daisy Valle Enrique
1 2
Vinicius B.P. Maciel
1
Tânia Miranda Lima
1
Fernando Charrua-Santos
1
Renata Walczak
3
  1. Electromechanical Department, C-MAST, University of Beira Interior, Covilhã, Portugal
  2. Industrial Engineering Department, Federal University of Rio Grande do Sul, Brazil
  3. University of Technology, Warsaw, Poland

A Method to Improve Planning of Product Placement on a Printing Sheet

Kateryna Czerniachowska Krzysztof Żywicki Radosław Wichniarek
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 119-128 | DOI: 10.24425/mper.2021.136877
Keywords Manufacturing operations production planning optimization mathematical programming
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Abstract

Major manufactures are moving towards a sustainability goal. This paper introduces the results of collaboration with the leading company in the packaging and advertising industry in Germany and Poland. The problem addresses the manufacturing planning problem in terms of minimizing the total cost of production. The challenge was to bring a new production planning method into cardboard manufacturing and paper processing which minimizes waste, improves the return of expenses, and automates daily processes heavily dependent on the production planners’ experience. The authors developed a module that minimizes the total cost, which reduces the overproduction and is used by the company’s manufacturing planning team. The proposed approach incorporates planning allowances rules to compromise the manufacturing requirements and production cost minimization.
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Authors and Affiliations

Kateryna Czerniachowska
1
ORCID: ORCID
Krzysztof Żywicki
2
ORCID: ORCID
Radosław Wichniarek
2
ORCID: ORCID
  1. Wroclaw University of Economics and Business, Wroclaw, Poland
  2. Poznan University of Technology, Poznan, Poland

Legacy of Fordism and Product Life Cycle Managementin the Modern Economy

Mariusz Bednarek Aneta Parkes
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 61-71 | DOI: 10.24425/mper.2021.136872
Keywords Fordism post-Fordism Neo-Fordism mass production mass waste Product Life Cycle Management Post-Fordism
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Abstract

The industrial revolution taking place since the 18th century has brought the global economies to the stage of mass production, mass industrialization and spreading ideas connected with its efficiency. The most famous of its kind is Fordism and its modern variations called PostFordism or Neo-Fordism. We can still see traditional way of producing things in some parts of the world, and the leading economies are using Ford’s ideas or the modifications of the Ford’s concepts. But there is a question about the place of these models in the modern economy, especially because mass-production causes mass-waste and modern societies has woken up to the reality of the global pollution, climate change or just the simple fact that the amount of the raw materials is limited. The social mood is slowly changing so there should be a change to the way we produce and consume things as well. There is a question: can we proceed within existing models or should we think outside the box so we can invent more suitable way of looking at efficiency and effectiveness. The objective of this paper is to contribute to the discussion about the future of how are we going to produce things. It is based on the literature review considering Fordism and its variations, Product Life Cycle facing issues like pollution, massive waste and changes in modern economy, as well as on the case study of implementing waste reduction activities in the product’ design phase in the industrial plant based in one of the EU countries – Poland.
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Authors and Affiliations

Mariusz Bednarek
1 2
Aneta Parkes
3
  1. Wyższa Szkoła Bankowa, Warszawa, Poland
  2. Universidad Autonoma de Chile, Temuco, Chile
  3. Społeczna Akademia Nauk, Łódź, Poland

Factors Affecting Strategic Types of Organizational Culture: Evidencefrom Organizations and Managers Operating in the Czech Republic

Hana Urbancová Lucie Depoo
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 48-59 | DOI: 10.24425/mper.2021.136871
Keywords Organizational culture employer branding communication employees engagement human resources employee
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Abstract

As the corporate culture and re/setting of employer – employee relations is crucial due to changes in workplace due to impact of COVID-19, this article aims to identify types of organizational culture, and to find impact on the implementation of HR activities and employer branding, including classification of organizations by their defined strategies. A model of organizational culture, including its systematic relationships, is proposed and tested using a sample of 402 organizations across sectors operating in the Czech Republic as a characteristic economy in Central Eastern European region. This model includes different dimensions of internal brand management and manifestations of organizational culture. Data are analyzed using bivariate and multivariate statistics. Identification of a suitable type of organizational culture leads towards successful employer branding and work engagement; brand identification and communication directly raise positive perception of organizational culture. Three major areas of use of organizational culture and branding have been identified: re-setting of personnel processes depending on the change of organization’s size, on the decline in labor productivity and on organizational mergers, changes in scope of business and in market position. The results suggest that orientation on employee engagement is a better predictor of (positive) organizational culture than increase in productivity. Furthermore, the results explain supportive roles of organizational culture towards customers and employees. The results extend theory by empirical analysis of organizational culture and internal brand management from the employers’ perspective.
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Authors and Affiliations

Hana Urbancová
1
Lucie Depoo
2
  1. University of Economics and Management, Department of Human Resources
  2. University of Economics and Management, Department of Management

Modelling of Technology Valuation in the Processof its Commercialization

Bozena Kaczmarska Wacław Gierulski Josef Zajac Anton Bittner Wacław Gierulski
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 85-93 | DOI: 10.24425/mper.2021.136874
Keywords Model of commercialization process technology value product life cycle
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Abstract

Commercialization processes are modeled and analyzed from the point of view of the implementation of activities under particular stages. These issues are the subject of many studies and analyzes, which is why the extensive literature is available on this subject. Technology valuation at various stages of the commercialization process is a separate issue. Such valuation is prepared in most cases by consulting companies for determining the price in the buying and selling processes. These valuations use known methods also used in other cases, e.g., real estate valuation. The work carried out presents the author’s concept of the commercialization process model, taking into account the costs and value of the technology at various stages of the product life cycle. The model uses a stochastic approach to determine future revenues and costs, which allows estimating the value of the technology by or in determining the probability of assessment validity. The proposed stochastic approach greatly increases the chances of using the presented solutions in practical activities related to technology valuation for the purposes of purchase and sale transactions.
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Authors and Affiliations

Bozena Kaczmarska
1
Wacław Gierulski
1
ORCID: ORCID
Josef Zajac
2
Anton Bittner
2
Wacław Gierulski
1
  1. Kielce University of Technology, Poland
  2. Technical University of Kosice, Slovakia

Quick Response Manufacturing for High Mix, Low Volume,High Complexity Manufacturers

Jerzy Duda Andrzej Macioł Stanisław Jedrusik Bogdan Rebiasz A. Stawowy Monika Sopinska-Lenart Adam Stawowy
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 72-84 | DOI: 10.24425/mper.2021.136873
Keywords Quick Response Manufacturing engineering-to-order contract manufacturer cellular systems
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Abstract

The market of consumer goods requires nowadays quick response to customer needs. As a consequence, this is transferred to the time restrictions that the semi-finished product manufacturer must meet. Therefore the cost of manufacturing cannot determine how production processes are designed, and the main evaluation function of manufacturing processes is the response time to customers’ orders. One of the ideas for implementing this idea is the QRM (Quick Response Manufacturing) production organization system. The purpose of the research undertaken by the authors was to develop an innovative solution in the field of production structure, allowing for the implementation of the QRM concept in a Contract Manufacturer, which realizes its tasks according to engineering-to-order (ETO) system in conditions defined as High Mix, Low Volume, High Complexity. The object of the research was to select appropriate methods for grouping products assuming that certain operations will be carried out in traditional but well-organized technological and/or linear cells. The research was carried out in one of the largest producers of sheet metal components in Europe. Pre-completed groupings for data obtained from the company had indicated that – among the classical methods – the best results had been given by the following methods: King’s Algorithm (otherwise called: Binary Ordering, Rank Order Clustering), k-means, and Kohonen’s neural networks. The results of the tests and preliminary simulations based on the data from the company proved that the implementation of the QRM concept does not have to be associated with the absolute formation of multi-purpose cells. It turned out that the effect of reducing the response time to customer needs can be obtained by using hybrid structures that combine solutions characteristic of cellular systems with traditional systems such as a technological, linear, or mixed structure. However, this requires the application of technological solutions with the highest level of organization.
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Authors and Affiliations

Jerzy Duda
1
Andrzej Macioł
2
Stanisław Jedrusik
2
Bogdan Rebiasz
2
A. Stawowy
ORCID: ORCID
Monika Sopinska-Lenart
3
Adam Stawowy
2
  1. AGH University of Science and Technology, Faculty of Management, Kraków, Poland
  2. AGH University of Science and Technology, Faculty of Management, Kraków, Poland
  3. Addit Sp. z o.o., Wegrow, Poland

Application of Artificial Neural Network: A Case of Single PointIncremental Forming (SPIF) of Cu67Zn33 Alloy

Manish Oraon Vinay Sharma
Management and Production Engineering Review | 2021 | vol. 12 | No 1 | 7-23 | DOI: 10.24425/mper.2021.136868
Keywords SPIF input variable artificial neural network surface roughness. artificial neural networks surface roughness
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Abstract

Artificial neural network (ANN), a Computational tool that is frequently applied in the modeling and simulation of manufacturing processes. The emerging forming technique of sheet metal which is typically called single point incremental forming (SPIF) comes into the map and the research interest towards its technological parameters. The surface quality of the end product is a major issue in SPIF, which is more critical with the hard metals. The part of the brass metal is demanded in many industrial uses because of its high load-carrying capacity and its wear resistance property. Considering the industrial interest and demand of the brass metal products, the present study is done with the SPIF experiment on calamine brass Cu67Zn33 followed by an ANN analysis for predicting the absolute surface roughness. The modeling result shows a close agreement with the measured data. The minimum and maximum errors are found in experiment 3 and experiment 7 respectively. The error of predicted roughness is found in the range of –30.87 to 20.23 and the overall coefficient of performance of ANN modeling is 0.947 which is quite acceptable.
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Authors and Affiliations

Manish Oraon
1
Vinay Sharma
1
  1. Birla Institute of Technology, Faculty of Production Engineering, India

Study on the ankle rehabilitation device

Minh Duc Dao Xuan Tuy Tran Dang Phuoc Pham Quoc Anh Ngo Thi Thuy Tram Le
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 147-163 | DOI: 10.24425/ame.2021.139803
Keywords ankle rehabilitation stroke slide mode controller linear actuator
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Abstract

This study developed an ankle rehabilitation device for post-stroke patients. First, the research models and dynamic equations of the device are addressed. Second, the Sliding Mode Controller for the ankle rehabilitation device is designed, and the device's response is simulated on the software MATLAB. Third, the ankle rehabilitation device is successfully manufactured from aluminum and uses linear actuators to emulate dorsiflexion and plantarflexion exercises for humans. The advantages of the device are a simple design, low cost, and mounts onto rehabilitative equipment. The device can operate fast through experiments, has a foot drive mechanism overshoot of 0°, and a maximum angle error of 1°. Moreover, the rehabilitation robot can operate consistently and is comfortable for stroke patients to use. Finally, we will fully develop the device and proceed to clinical implementation.
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Authors and Affiliations

Minh Duc Dao
1
ORCID: ORCID
Xuan Tuy Tran
2
Dang Phuoc Pham
1
Quoc Anh Ngo
1
Thi Thuy Tram Le
3
  1. Faculty Technology and Engineering, The Pham Van Dong University, Quang Ngai, Vietnam
  2. Faculty Technology of Mechanical Engineering, The University of Danang – University of Science and Technology, Danang, Vietnam
  3. The Faculty Electronic-Electrical, The Quang Nam College, Quang Nam, Vietnam

Numerical analysis of structure, stability and entropy generation in biogas coflow diffusion flames

R. Nivethana Kumar S. Muthu Kumaran Vasudevan Raghavan
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 99-128 | DOI: 10.24425/ame.2021.139648
Keywords biogas flame stability entropy generation coflow air hydrogen injection preheated reactants
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Abstract

Biogas is a gaseous biofuel predominantly composed of methane and carbon-dioxide. Stability of biogas flames strongly depend upon the amount of carbon-dioxide present in biogas, which varies with the source of biomass and reactor. In this paper, a comprehensive study on the stability and flame characteristics of coflow biogas diffusion flames is reported. Numerical simulations are carried out using reactive flow module in OpenFOAM, incorporated with variable thermophysical properties, Fick’s and Soret diffusion, and short chemical kinetics mechanism. Effects of carbon-dioxide content in the biogas, temperatures of the fuel or coflowing air streams (preheated reactant) and hydrogen addition to fuel or air streams are analyzed. Entropy generation in these flames is also predicted. Results show that the flame temperature increases with the degree of preheat of reactants and the flames show better stability with the preheated air stream. Preheating the air contributes to increased flame stability and also to a significant decrease in entropy generation. Hydrogen addition, contributing to the same power rating, is seen to be relatively more effective in increasing the flame stability when added to the fuel stream. Results in terms of flow, temperature, species and entropy fields, are used to describe the stability and flame characteristics.
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Authors and Affiliations

R. Nivethana Kumar
1
S. Muthu Kumaran
1
Vasudevan Raghavan
1
  1. Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai – 600036, India

Couple stress fluid past a sphere embedded in a porous medium

Krishna Prasad Madasu Priya Sarkar
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 5-19 | DOI: 10.24425/ame.2021.139314
Keywords sphere couple stress fluid saturated porous medium Brinkman’s equation drag force
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Abstract

This paper concerns the analytical investigation of the axisymmetric and steady flow of incompressible couple stress fluid through a rigid sphere embedded in a porous medium. In the porous region, the flow field is governed by Brinkman's equation. Here we consider uniform flow at a distance from the sphere. The boundary conditions applied on the surface of the sphere are the slip condition and zero couple stress. Analytical solution of the problem in the terms of stream function is presented by modified Bessel functions. The drag experienced by an incompressible couple stress fluid on the sphere within the porous medium is calculated. The effects of the slip parameter, the couple stress parameter, and permeability on the drag are represented graphically. Special cases of viscous flow through a sphere are obtained and the results are compared with earlier published results.
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Authors and Affiliations

Krishna Prasad Madasu
1
ORCID: ORCID
Priya Sarkar
1
ORCID: ORCID
  1. Department of Mathematics, National Institute of Technology, Raipur-492010, Chhattisgarh, India

Wear and surface characteristics on tool performance with CVD coating of Al2O3/TiCN inserts during machining of Inconel 718 alloys

Shailesh Rao Agari
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 59-75 | DOI: 10.24425/ame.2021.139647
Keywords chip morphology tool wear surface roughness super alloy - Inconel 717
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Abstract

The Inconel 718 alloys, which are primarily temperature resistant, are widely used in aviation, aerospace and nuclear industries. The study on dry cutting processes for this alloy becomes difficult due to its high hardness and low thermal conductivity, wherein, most of the heat transfers due to friction are accumulated over the tool surface. Further, several challenges like increased cutting force, developing high temperature and rapid tool wear are observed during its machining process. To overcome these, the coated tool inserts are used for machining the superalloys. In the present work, the cemented carbide tool is coated with chemical vapor deposition multi-layering Al 2O 3/TiCN under the dry cutting environment. The machining processes are carried out with varying cutting speeds: 65, 81, 95, and 106 m/min, feed rate 0.1 mm/rev, and depth of cut 0.2 mm. The variation in the cutting speeds can attain high temperatures, which may activate built-up-edge development which leads to extensive tool wear. In this context, the detailed chip morphology and its detailed analysis are carried out initially to understand the machining performance. Simultaneously, the surface roughness of the machined surface is studied for a clear understanding of the machining process. The potential tool wear mechanism in terms of abrasion, adhesion, tool chip off, delaminating of coating, flank wear, and crater wear is extensively identified during the processes. From the results, it is observed that the machining process at 81 m/min corresponds to a better machining process in terms of lesser cutting force, lower cutting temperature, better surface finish, and reduced tool wear than the other machining processes.
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Authors and Affiliations

Shailesh Rao Agari
1
  1. Department of Industrial and Production Engineering, The National Institute of Engineering, Mysuru, Karnataka, India

Two-dimensional analogies to the deformation characteristics of a falling droplet and its collision

Abid Hasan Rafi Mohammad Rejaul Haque Dewan Hasan Ahmed
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 21-43 | DOI: 10.24425/ame.2021.139649
Keywords droplet freefall spreading drag force
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Abstract

The present study investigates the 2D numerical analogies to the changes of the droplet shapes during the freefall for a wide range of droplet sizes through the stagnation air. The freefall velocity, shape change due to frictional force during free-fall is studied for different considered cases. With the elapse of time, a droplet with a larger initial diameter is changing its original shape more compared to droplets with a smaller diameter. In addition, the spreading of the droplet during the freefall seems more rapid for the larger-diameter droplet. When a droplet with an initial diameter of 15 mm starts to fall with gravitational force, the diameter ratio is decreasing for droplets with higher density and surface tension while droplets having lower density and surface tension show a diameter ratio greater than one. The spreading and splashing of the droplet on a solid surface and liquid storage at the time of impact are much influenced by the freefall memories of the droplet during the freefall from a certain height. These freefall memories are influenced by the fluid properties, drag force, and the freefall height. However, these freefall memories eventually regulate the deformation of the droplet during the freefall.
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Authors and Affiliations

Abid Hasan Rafi
1
ORCID: ORCID
Mohammad Rejaul Haque
1
ORCID: ORCID
Dewan Hasan Ahmed
1
ORCID: ORCID
  1. Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh

Hybrid nano improved phase change material for latent thermal energy storage system: Numerical study

Mohamed Lamine Benlekkam Driss Nehari
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 77-98 | DOI: 10.24425/ame.2022.140410
Keywords phase change material (PCM) latent heat storage melting and solidification thermal energy storage hybrid nano-particles LHTESS
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Abstract

The phase change materials (PCM) are widely used in several applications, especiallyi n the latent heat thermal energy storage system (LHTESS). Due to the very low thermal conductivity of PCMs. A small mass fraction of hybrid nanoparticles TiO 2–CuO (50%–50%) is dispersed in PCM with five mass concentrations of 0%, 0.25%, 0.5%, 0.75% and 1 mass % to improve its thermal conductivity. This article is focused on thermal performance of the hybrid nano-PCM (HNPCM) used for the LHTESS. A numerical model based on the enthalpy-porosity technique is developed to solve the Navier-Stocks and energy equations. The computations were conducted for the melting and solidification processes of the HNPCM in a shell and tube latent heat storage (LHS). The developed numerical model was validated successfully with experimental data from the literature. The results showed that the dispersed hybrid nanoparticles improved the effective thermal conductivity and density of the HNPCM. Accordingly, when the mass fraction of a HNPCM increases by 0.25%, 0.5%, 0.75% and 1 mass %, the average charging time improves by 12.04 %, 19.9 %, 23.55%, and 27.33 %, respectively. Besides, the stored energy is reduced by 0.83%, 1.67%, 2.83% and 3.88%, respectively. Moreover, the discharging time was shortened by 18.47%, 26.91%, 27.71%, and 30.52%, respectively.
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Authors and Affiliations

Mohamed Lamine Benlekkam
1 2
ORCID: ORCID
Driss Nehari
3
ORCID: ORCID
  1. Department of Science and Technology, University of Tissemsilt, Tissemsilt, Algeria
  2. Laboratory of Smart Structure, University of Ain Temouchent, Ain Temouchent, Algeria
  3. Laboratory of Hydrology and Applied Environment, University of Ain Temouchent, Algeria

Design and analysis of cementless hip-joint system using functionally graded material

Saeed Asiri
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 129-146 | DOI: 10.24425/ame.2021.139804
Keywords functionally graded material cementless hip-joint system natural frequency harmonic response fatigue analysis finite element analysis modal analysis
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Abstract

Functionally Graded Materials (FGM) are extensively employed for hip plant component material due to their certain properties in a specific design to achieve the requirements of the hip-joint system. Nevertheless, if there are similar properties, it doesn’t necessarily indicate that the knee plant is efficiently and effectively working. Therefore, it is important to develop an ideal design of functionally graded material femoral components that can be used for a long period. A new ideal design of femoral prosthesis can be introduced using functionally graded fiber polymer (FGFP) which will reduce the stress shielding and the corresponding stresses present over the interface. Herein, modal analysis of the complete hip plant part is carried out, which is the main factor and to date, very few research studies have been found on it. Moreover, this enhances the life of hip replacement, and the modal, harmonic, and fatigue analysis determines the pre-loading failure phenomena due to the vibrational response of the hip. This study deals with the cementless hip plant applying the finite element analysis (FEA) model in which geometry is studied, and the femoral bone model is based in a 3D scan.
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Authors and Affiliations

Saeed Asiri
1
ORCID: ORCID
  1. Mechanical Engineering Department, Engineering College King Abdulaziz University, Jeddah, Saudi Arabia

Application of mixed-nanoparticle coating as a novel simple method in generating speckle pattern to study small fields of view by digital image correlation

Milad Zolfipour Aghdam Naser Soltani Hadi Nobakhti
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 45-58 | DOI: 10.24425/ame.2021.139313
Keywords digital image correlation speckle pattern nanoparticle coating
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Abstract

Digital image correlation (DIC) is a powerful full-field displacement measurement technique that has been used in various studies. The first step in the DIC is to create a random speckle pattern, where the spraying method is usually employed. However, creating an optimal pattern and modification in the spraying method is not convenient. Furthermore, the size of speckles which is not so small in spraying method, limits the minimum size of the field of study. In the present research, a convenient novel technique was introduced and investigated to generate a practical kind of speckle pattern with small speckles for evaluating smaller fields of view using nanoparticles. The pattern was created by spreading a mixture of different black and white nanoparticles. To this end, the black graphene oxide particles were mixed with white nanoparticles of titanium oxide, zirconium oxide and silicon to obtain three mixtures. Displacement tests show that the mixture of graphene and titanium provides the best DIC performance. More granularly, graphene and titanium were mixed at three different ratios to find the optimal combination. Subsequently, the accuracy of the new patterning method was analyzed via tensile testing and the results were compared against those of conventional method with various subset sizes.
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Authors and Affiliations

Milad Zolfipour Aghdam
1
ORCID: ORCID
Naser Soltani
1
Hadi Nobakhti
1
  1. School of Mechanical Engineering, Collegeof Engineering, University of Tehran, Iran

Study on modeling and production inaccuracies for artillery firing

Mostafa Khalil
Archive of Mechanical Engineering | 2022 | vol. 69 | No 1 | 165-183 | DOI: 10.24425/ame.2021.139802
Keywords artillery firing table modified point mass meteorological messages Coriolis effect genetic algorithm GA
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Abstract

Production and assessment of artillery firing tables (FT) are the key tasks in solving ballistic problems through both standard and non-standard firing conditions. According to the literature, two different standard firing table formats were developed by the former-Soviet and the United States armies. This study proposes the main difference between these FT formats, as the standard meteorological conditions. An accuracy assessment has been proposed to justify different sources of errors through modeling and production of such tables, including applied meteorological message, aiming angles round-off, linear superposition principle, and Earth approximation. A~case study has been proposed for the 155M107 projectile to demonstrate the impact of the Coriolis effect as well as other ballistic and atmospheric non-standard conditions. As a part of the construction of artillery FT, a fitting process has to be made between available firing data and simulations. Therefore, a parametric study is implemented to study the number of test elevations per charge needed through the fitting process and its corresponding production error. Hence, based on the number of test elevations available, the genetic algorithm (GA) has been utilized to obtain the test elevations order needed with minimum FT production error. The results show a good agreement with the data stated in the literature.
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Authors and Affiliations

Mostafa Khalil
1
ORCID: ORCID
  1. Aerospace Engineering Department, Military Technical College, Cairo, Egypt

Stability of the thin-walled angle column made of bio-laminate versus glass-laminate under axial compression – numerical study

Jarosław Gawryluk
Archive of Mechanical Engineering | 2023 | vol. 70 | No 1 | 43-61 | DOI: 10.24425/ame.2023.144815
Keywords bio-laminates buckling thin-walled structures FEM eigenproblem
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Abstract

The aim of this study was to determine how the change of glass laminate fibres to flax fibres will affect the stability of thin-walled angle columns. Numerical analyses were conducted by the finite element method. Short L-shaped columns with different configurations of reinforcing fibres and geometric parameters were tested. The axially compressed structures were simply supported on both ends. The lowest two bifurcation loads and their corresponding eigenmodes were determined. Several configurations of unidirectional fibre arrangement were tested. Moreover, the influence of a flange width change by ±100% and a column length change by ±33% on the bifurcation load of the compressed structure was determined. It was found that glass laminate could be successfully replaced with a bio-laminate with flax fibres. Similar results were obtained for both materials. For the same configuration of fibre arrangement, the flax laminate showed a lower sensitivity to the change in flange width than the glass material. However, the flax laminate column showed a greater sensitivity to changes in length than the glass laminate one. In a follow-up study, selected configurations will be tested experimentally.
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Authors and Affiliations

Jarosław Gawryluk
1
ORCID: ORCID
  1. Department of Applied Mechanics, Faculty of Mechanical Engineering, Lublin University of Technology, Lublin, Poland

Evaluation of wet cooling tower replacement by Heller cooling tower in a power plant

Mohamad Hasan Malekmohamadi Hossein Ahmadikia Siavash Golmohamadi Hamed Khodadadi
Archive of Mechanical Engineering | 2023 | vol. 70 | No 1 | 129-149 | DOI: 10.24425/ame.2022.144076
Keywords Heller cooling tower wet cooling tower condenser power plant
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Abstract

Water resources are the main component of natural systems affected by climate change in the Middle East. Due to a lack of water, steam power plants that use wet cooling towers have inevitably reduced their output power. This article investigates the replacement of wet cooling towers in Isfahan Thermal Power Plant (ITPP) with Heller natural dry draft cooling towers. The thermodynamic cycle of ITPP is simulated and the effect of condenser temperature on efficiency and output power of ITPP is evaluated. For various reasons, the possibility of installing the Heller tower without increasing in condenser temperature and without changing the existing components of the power plant was rejected. The results show an increase in the condenser temperature by removing the last row blades of the low-pressure turbine. However, by replacing the cooling tower without removing the blades of the last row of the turbine, the output power and efficiency of the power plant have decreased about 12.4 MW and 1.68 percent, respectively.
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Authors and Affiliations

Mohamad Hasan Malekmohamadi
1 2
Hossein Ahmadikia
1
ORCID: ORCID
Siavash Golmohamadi
2
Hamed Khodadadi
3
  1. University of Isfahan, Isfahan, Iran
  2. Isfahan Thermal Power Plant, Isfahan, Iran
  3. Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran

Application of genetic algorithm for double-lap adhesive joint design

Sergei Kurennov Konstantin Barakhov Olexander Polyakov Igor Taranenko
Archive of Mechanical Engineering | 2023 | vol. 70 | No 1 | 27-42 | DOI: 10.24425/ame.2022.144074
Keywords adhesive joint genetic algorithm optimization finite difference method Goland-Reissner model
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Abstract

The problem of optimal design of symmetrical double-lap adhesive joint is considered. It is assumed that the main plate has constant thickness, while the thickness of the doublers can vary along the joint length. The optimization problem consists in finding optimal length of the joint and an optimal cross-section of the doublers, which provide minimum structural mass at given strength constraints. The classical Goland-Reissner model was used to describe the joint stress state. A corresponding system of differential equations with variable coefficients was solved using the finite difference method. Genetic optimization algorithm was used for numerical solution of the optimization problem. In this case, Fourier series were used to describe doubler thickness variation along the joint length. This solution ensures smoothness of the desired function. Two model problems were solved. It is shown that the length and optimal shape of the doubler depend on the design load.
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Authors and Affiliations

Sergei Kurennov
1
ORCID: ORCID
Konstantin Barakhov
1
ORCID: ORCID
Olexander Polyakov
1
ORCID: ORCID
Igor Taranenko
1
ORCID: ORCID
  1. National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

Modified Hooke-Jeeves optimization of operating parameters for required slider speeds and displacements in a feeder slider-crank mechanism

Mehmet Ilteris Sarigecili Ibrahim Deniz Akcali
Archive of Mechanical Engineering | 2023 | vol. 70 | No 1 | 63-83 | DOI: 10.24425/ame.2022.144072
Keywords slider-crank dynamic model speed control Hooke-Jeeves method optimization
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Abstract

In such applications as in the case of feeders in which a slider-crank mechanism equipped with a rotational spring on its crank is driven by a constant force and a lumped mass at the crank-connecting rod joint center, the slider is required to take on desired speeds and displacements. For this purpose, after obtaining and solving the dynamic model of the slider-crank mechanism, the output of this model is subjected to a modified Hooke-Jeeves method resulting in the development of a procedure for the optimization of selected set of operating parameters. The basic contribution involved in the so-called Hooke-Jeeves method is the procedure by which a cost-effective advancement towards a target optimum point is accomplished in a very short time. A user-friendly interface has also been constructed to support this procedure. The optimization procedure has been illustrated on a numerical example. The validation of the resulting dynamic model has also been demonstrated.
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Authors and Affiliations

Mehmet Ilteris Sarigecili
1
ORCID: ORCID
Ibrahim Deniz Akcali
1
ORCID: ORCID
  1. Department of Mechanical Engineering, Çukurova University, Adana, Turkey

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