文献类型：期刊文献

英文题名：Study on the influence of cutting parameters on surface quality during turning of medical titanium alloy TC4

作者：Zhong, Shuying Ren, Zhongwei Jiang, Hongwan Chen, Yang Shen, Zhengping Deng, Jing Shen, Mingming

第一作者：Zhong, Shuying

通信作者：Ren, ZW[1];Jiang, HW[1];Ren, ZW[2];Jiang, HW[2];Jiang, HW[3]

机构：[1]Guizhou Normal Univ, Sch Mech & Elect Engn, Guiyang 550001, Peoples R China;[2]Guizhou Inst Technol, Coll Mech Engn, Guiyang 550003, Peoples R China;[3]Guizhou Univ, Key Lab Adv Mfg Technol, Minist Educ, Guiyang 550025, Peoples R China

第一机构：Guizhou Normal Univ, Sch Mech & Elect Engn, Guiyang 550001, Peoples R China

通信机构：corresponding author), Guizhou Normal Univ, Sch Mech & Elect Engn, Guiyang 550001, Peoples R China;corresponding author), Guizhou Inst Technol, Coll Mech Engn, Guiyang 550003, Peoples R China;corresponding author), Guizhou Univ, Key Lab Adv Mfg Technol, Minist Educ, Guiyang 550025, Peoples R China.|贵州理工学院机械工程学院;贵州理工学院;

年份：2026

卷号：263

外文期刊名：MEASUREMENT

收录：;EI(收录号：20255219789187);Scopus(收录号：2-s2.0-105025448024);WOS:【SCI-EXPANDED(收录号:WOS:001651232100001)】；

基金：The authors would like to acknowledge the financial support from the National Natural Science Foundation of China (Grant No.52265055, 52005118) . This work has also supported by grants from the Science and Technology Plan Project of Guizhou Province (Grant No. QKHJC-ZK [2022] ZD026) , Innovative Talents at the "Hundred" Level of Guizhou Province (Grant No. QKHPTRC-GCC [2023] 054) , the Science and Technology Plan Project of Guiyang City (Grant No. ZKHT [2022] 2-2) , and the Higher Education Engineering Research Center of Guizhou Province (Grant No. QJJ [2023] 040) .

语种：英文

外文关键词：Medical TC4; Turning; Cutting Force; Cutting Temperature; Chip; Surface Roughness

摘要：Medical-grade TC4 exhibits excellent surface quality, enhancing the long-term stability, biocompatibility, and service life of implants. This provides fundamental assurance for surgical success and patient recovery. To achieve superior surface quality during turning operations on medical-grade TC4, the primary objective of this study was to investigate the influence of patterns of cutting force, cutting temperature, chip formation, and surface roughness under varying cutting parameters through precision dry turning experiments. Utilizing nonlinear regression analysis, a mathematical predictive model for surface roughness was subsequently established. Results indicate that cutting force exhibits a linear increase with cutting depth. Cutting temperature rises with increasing cutting depth, reaching its maximum at cutting speeds and feed rates of 40 m/min and 0.1 mm/ rev, respectively. Variations in feed rate exert a more pronounced influence on the surface roughness of medicalgrade TC4. Furthermore, the root means square error of the multivariate regression prediction model for cutting parameters and surface roughness was 0.00188, indicating that the prediction model possesses a degree of feasibility and accuracy. This study comprehensively analyzed the influence of process parameters on force, heat, chips, and surface quality during precision turning of medical-grade TC4. Systematic process rules were established, and a nonlinear surface roughness prediction model was constructed, enabling accurate forecasting of key surface quality indicators. This approach provides guidance for precision turning of medical-grade TC4, offering a theoretical reference for achieving medical TC4 products with superior surface quality for clinical applications.