LAPSE:2024.1784
Published Article
LAPSE:2024.1784
Modeling and Simulation of the Induction Hardening Process: Evaluation of Gear Deformations and Parameter Optimization
August 23, 2024
Abstract
This study aimed to analyze and optimize the thermal induction hardening process applied to toothed transmission gears, focusing on thermal aspects, structural deformation, and topology optimization, while exploring the feasibility of various materials and operating conditions. The research simulated thermal and deformation behavior using a computer model, comparing results with experimental data through the Ansys® platform 2022 R1. The methodology encompassed thermal and deformation analyses, topology optimization to identify removable regions without compromising part integrity, and a sensitivity study to evaluate the different materials and operating conditions. This study validates the precision of computational models in predicting thermal and deformation behavior in toothed gears under thermal induction hardening, introducing topology optimizations and alternative materials, and providing novel perspectives for the more efficient and cost-effective manufacturing of these components. Comparative thermal analysis revealed a maximum relative error of less than 6% between temperatures from the computer model and experimental results, while deformation comparisons exhibited a maximum relative error of less than 7%, affirming the simulation model’s accuracy in predicting and managing deformations within acceptable thresholds. Topology optimization successfully pinpointed removable regions without compromising structural integrity, enabling the production of lighter and more economical devices. Future endeavors should concentrate on additional tests to verify the feasibility of reducing power and cooling temperature without compromising product specifications. Furthermore, it is advisable to explore alternative materials and apply the developed methodology in diverse industrial settings to generalize the findings and amplify the impact of the proposed optimizations.
Keywords
distortions, heat treatment, induction, numerical analysis, topology optimization
Suggested Citation
Pinheiro PM, Junio JU, Gonçalves LAP, da Costa JÂP, Ochoa AAV, Alves KGB, Leite GDNP, Michima PSA. Modeling and Simulation of the Induction Hardening Process: Evaluation of Gear Deformations and Parameter Optimization. (2024). LAPSE:2024.1784
Author Affiliations
Pinheiro PM: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil
Junio JU: Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Luiz Freire, 500, Recife 50740-545, Brazil [ORCID]
Gonçalves LAP: Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Luiz Freire, 500, Recife 50740-545, Brazil
da Costa JÂP: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
Ochoa AAV: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
Alves KGB: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil [ORCID]
Leite GDNP: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
Michima PSA: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil [ORCID]
Journal Name
Processes
Volume
12
Issue
7
First Page
1428
Year
2024
Publication Date
2024-07-09
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr12071428, Publication Type: Journal Article
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LAPSE:2024.1784
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https://doi.org/10.3390/pr12071428
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Aug 23, 2024
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Aug 23, 2024
 
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