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Number of results: 3
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Abstract

Tests were performed on example tools applied in hot die forging processes. After withdrawal from service due to excessive wear, these tools can be regenerated for re-use through machining and hardfacing. First, analysis of worn tools was carried out for the purpose of identifying tool working conditions and wear mechanisms occurring in the surface layer of tools during forging. Testing of worn tools included observations under a microscope, surface scanning and microhardness measurement in the surface layer. The results indicate very diverse work conditions, which suggest the application of different materials and hardfacing tool regeneration technology in individual die forging processes.
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Authors and Affiliations

P. Widomski
1
ORCID: ORCID
M. Kaszuba
1
ORCID: ORCID
J. Krawczyk
1
ORCID: ORCID
B. Nowak
2
ORCID: ORCID
A. Lange
1
ORCID: ORCID
P. Sokołowski
1
ORCID: ORCID
Z. Gronostajski
1
ORCID: ORCID

  1. Wroclaw University of Science and Technology, Department of Metal Forming, Welding and Metrology, 7-9 Lukasiewicza Str., 50-371, Wroclaw, Poland
  2. CEO, Kuźnia Jawor S.A. Poland
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Abstract

The study discusses the issues of low durability of dies used in the first operation of producing a valve type forging from high nickel steel assigned for the application in motor truck engines. The analyzed process of manufacturing the exhaust valve forgings is realized in the coextrusion technology, followed by forging in closed dies. This process is difficult to master, mainly due to elevated adhesion of the charge material (high nickel steel – NCF3015) to the tool substrate as well as very high abrasive wear of the tool, most probably caused by the dissolution of hard carbide precipitates during the charge heating. A big temperature scatter of the charge during the heating and its short presence in the inductor prevents microstructure homogenization of the bearing roller and dissolution of hard precipitates. In effect, this causes an increase of the forging force and the pressures in the contact, which, in extreme cases, is the cause of the blocking of the forging already at the beginning of the process. In order to analyze this issue, complex investigations were conducted, which included: numerical modelling, dilatometric tests and hardness measurements. The microstructure examinations after the heating process pointed to lack of structure repeatability; the dilatometric tests determined the phase transformations, and the FEM results enabled an analysis of the process for different charge hardness values. On the basis of the conducted analyzes, it was found that the batch material heating process was not repeatable, because the collected samples showed a different amount of dissolved carbides in the microstructure, which translated into different hardnesses (from over 300 HV to 192 HV). Also, the results of numerical modeling showed that lower charge temperature translates into greater forces (by about 100 kN) and normal stresses (1000 MPa for the nominal process and 1500 MPa for a harder charge) and equivalent stresses in the tools (respectively: 1300 MPa and over 1800 MPa), as well as abrasive wear (3000 MPa mm; 4500 MPa mm). The obtained results determined the directions of further studies aiming at improvement of the production process and thus increase of tool durability.
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Authors and Affiliations

M.R. Hawryluk
1
ORCID: ORCID
M. Lachowicz
1
ORCID: ORCID
M. Janik
1
ORCID: ORCID
Z. Gronostajski
1
ORCID: ORCID
M. Stachowicz
1
ORCID: ORCID

  1. Wrocław University of Science and Technology, Faculty of Mechanical Engineering, 5 Ignacego Łukasiewicza Str., 50-371 Wrocław , Poland
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Abstract

This article discusses the results of studies using the developed artificial neural networks in the analysis of the occurrence of the four main mechanisms destroying the selected forging tools subjected to five different surface treatment variants (nitrided layer, pad welded layer and three hybrid layers, i.e. AlCrTiSiN, Cr/CrN and Cr/AlCrTiN). Knowledge of the forging tool durability, needed in the process of artificial neural network training, was included in the set of training data (about 800 records) derived from long-term comprehensive research carried out under industrial conditions. Based on this set, neural networks with different architectures were developed and the results concerning the intensity of the occurrence of thermal-mechanical fatigue, abrasive wear, mechanical fatigue and plastic deformation were generated for each type of the applied treatment relative to the number of forgings, pressure, friction path and temperature.

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Authors and Affiliations

M. Hawryluk
Barbara Mrzygłód
ORCID: ORCID
Z. Gronostajski
ORCID: ORCID
M. Głowacki
Izabela Olejarczyk-Wożeńska
ORCID: ORCID

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