文献类型：期刊文献

英文题名：Bidirectionally Coupled FE-CFD Simulation Study on MQL Machining Process of Ti-6Al-4V Alloy

作者：Zhou, Xiaorong He, Lin Yuan, Sen Jiang, Hongwan Deng, Jing Du, Feilong Yang, Jingdou Su, Zebin

第一作者：Zhou, Xiaorong

通信作者：He, L[1]

机构：[1]Guiyang Univ, Sch Mech Engn, Guiyang 550005, Peoples R China;[2]Guizhou Univ, Sch Mech Engn, Guiyang 550025, Peoples R China;[3]Guizhou Inst Technol, Sch Mech Engn, Guiyang 550003, Peoples R China

第一机构：Guiyang Univ, Sch Mech Engn, Guiyang 550005, Peoples R China

通信机构：corresponding author), Guizhou Univ, Sch Mech Engn, Guiyang 550025, Peoples R China.

年份：2025

卷号：13

期号：6

外文期刊名：LUBRICANTS

收录：;EI(收录号：20252618681453);Scopus(收录号：2-s2.0-105009138520);WOS:【SCI-EXPANDED(收录号:WOS:001516732800001)】；

基金：This work was financially supported by the Doctoral Research Startup Fund of Guiyang University (Grant No. GYU-KY-[2025]), National Natural Science Foundation of China (Grant No. 52265057), the Higher Education Engineering Research Center of Guizhou Province (Grant No. QJJ[2023]040), the Research on Mechanism Analysis of Cutting Chatter and Adaptive Control of Machining Stability for Thin walled Parts of Difficult-to-cut Materials (Grant No. 2023GCC033), and the National Natural Science Foundation of China (Grant No. 52365055).

语种：英文

外文关键词：minimum quantity lubrication; finite element; computational fluid dynamics; coupled method; Ti-6Al-4V alloy

摘要：In the context of sustainable manufacturing practices, minimum quantity lubrication (MQL) has been extensively employed in machining operations involving hard-to-cut materials. While substantial experimental and numerical investigations on MQL-assisted machining have been conducted, existing simulation approaches remain inadequate for modeling the dynamic flow field variations inherent to MQL processes, significantly compromising the predictive reliability of current models. This study introduced an innovative bidirectional iterative coupling framework integrating finite element (FE) analysis and computational fluid dynamics (CFD) to enhance simulation accuracy. Since fluid flow characteristics critically influence tribological and thermal management at the tool-workpiece interface during machining, CFD simulations were initially performed to evaluate how MQL parameters govern fluid flow behavior. Subsequently, an integrated FE-CFD modeling approach was developed to simulate Ti-6Al-4V alloy turning under MQL conditions with varying feed rates. The novel methodology involved transferring thermal flux data from FE simulations to CFD's heat source domain, followed by incorporating CFD-derived convective heat transfer coefficients back into FE computations. This repetitive feedback process continued until the thermal exchange parameters reached convergence. Validation experiments demonstrated that the proposed method achieved improved alignment between the simulated and experimental results for both cutting temperature profiles and principal force components across different feed conditions, confirming the enhanced predictive capability of this coupled simulation strategy.