TY - JOUR
T1 - Analytical model for thermo-mechanical interaction induced residual stress distribution during multi-conditional machining Inconel 718
AU - Liang, Xiaoliang
AU - Liu, Zhanqiang
AU - Ren, Lifei
AU - Wang, Bing
AU - Wang, Chunjin
AU - Yao, Gonghou
AU - Fai Cheung, Chi
N1 - Funding Information:
The authors would like to acknowledge the financial support from the National Key Research and Development Program of China (2019YFB2005401), National Natural Science Foundation of China (No.91860207), Shandong Provincial Key Research and Development Program (Major Scientific and Technological Innovation Project) (No.2020CXGC010204), Shandong Provincial Natural Science Foundation of China (2021JMRH0301 and 2021JMRH0304), Taishan Scholar Foundation. The authors would like to express their sincere thanks to the Key Laboratory of High-efficiency and Clean Mechanical Manufacture at Shandong University, Ministry of Education.
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Residual stress induced by coupling thermo-mechanical fields cannot be completely released and remains inside the workpiece after the cutting process, which has a significant impact on the fatigue resistance, corrosion resistance and deflection of manufacturing parts. This work focused on an analytical model for thermo-mechanical fields induced residual stress distribution during multi-conditional machining superalloy Inconel 718. Based on the relationships of material properties, cutting parameters, and cutting geometric conditions, the proposed analytical model investigated the thermo-mechanical fields based on the semi-infinite space elastic mechanical line load and the uneven film thermal stress distribution under the action of moving heat sources. The development process of residual stress was examined through the changes in the stress release process from loading to unloading based on the in-plane stress assumption solution. The effects of basic cutting variables including cutting speeds, uncut chip thickness and tool wear on the thermo-mechanical fields were discussed. According to the experimental and predicted results, the residual stress distribution characteristics were evaluated including surface residual stress, reverse peak stresses, transition position, and total influence depth, indicating that the proposed analytical model could obtain the residual stress distribution characteristics with the predicted error of approximately 4.3%–11.9%, 3.9%–73.4%, 4%–33.3%, and 3.3%–25.7%, respectively. This work can provide significant theoretical support for the analysis of the residual stress generation to control surface integrity during the cutting process.
AB - Residual stress induced by coupling thermo-mechanical fields cannot be completely released and remains inside the workpiece after the cutting process, which has a significant impact on the fatigue resistance, corrosion resistance and deflection of manufacturing parts. This work focused on an analytical model for thermo-mechanical fields induced residual stress distribution during multi-conditional machining superalloy Inconel 718. Based on the relationships of material properties, cutting parameters, and cutting geometric conditions, the proposed analytical model investigated the thermo-mechanical fields based on the semi-infinite space elastic mechanical line load and the uneven film thermal stress distribution under the action of moving heat sources. The development process of residual stress was examined through the changes in the stress release process from loading to unloading based on the in-plane stress assumption solution. The effects of basic cutting variables including cutting speeds, uncut chip thickness and tool wear on the thermo-mechanical fields were discussed. According to the experimental and predicted results, the residual stress distribution characteristics were evaluated including surface residual stress, reverse peak stresses, transition position, and total influence depth, indicating that the proposed analytical model could obtain the residual stress distribution characteristics with the predicted error of approximately 4.3%–11.9%, 3.9%–73.4%, 4%–33.3%, and 3.3%–25.7%, respectively. This work can provide significant theoretical support for the analysis of the residual stress generation to control surface integrity during the cutting process.
KW - Cutting process
KW - Inconel 718
KW - Residual stress
KW - Thermo-mechanical field
KW - Tool wear
UR - http://www.scopus.com/inward/record.url?scp=85173582369&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2023.110835
DO - 10.1016/j.ymssp.2023.110835
M3 - Journal article
AN - SCOPUS:85173582369
SN - 0888-3270
VL - 204
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
M1 - 110835
ER -