Simulation of Part Surface Residual Stress Based on Grind-Hardening Process
- Ming-He Liu, Ke Zhang, Zhe Yuan
- Corresponding Author
- Ming-He Liu
Available Online December 2016.
- https://doi.org/10.2991/mme-16.2017.144How to use a DOI?
- Grind-hardening, Residual stress, Grinding temperature field, Hardened layer, Simulation.
- Grind-hardening is a new technology for steel parts surface enhancing which uses thermal and mechanical composite effects on the parts in the grinding process. During the process, the workpiece surface generates hardened layer which improves the surface quality. As a key performance indicator of measuring the part surface quality, the residual stress of the hardened layer affects the strength, fatigue life and corrosion performance of the part directly. Therefore, the study of residual stress in hardened layer plays an important role in the effective control of hardened layer quality. First, grinding temperature field is analysed for studying the distribution characteristics of surface residual stress after grind-hardening process. Then, different grinding parameters an effect on the temperature field is studied by establishing the mathematical model and the heat transfer model of the grinding zone temperature field. Furthermore, combined with the grinding force generated in the grinding process, the thermo-mechanical coupling analysis with finite element method is adopted to obtain the residual stress and its distribution of the part. Also, the influence mechanism of the part residual stress formation is revealed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ming-He Liu AU - Ke Zhang AU - Zhe Yuan PY - 2016/12 DA - 2016/12 TI - Simulation of Part Surface Residual Stress Based on Grind-Hardening Process BT - 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mme-16.2017.144 DO - https://doi.org/10.2991/mme-16.2017.144 ID - Liu2016/12 ER -