基于有限元法的英科乃尔625层合沉积金属与铁铁合金材料BTA钻头磨损预测

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Qinghe Guan, Yong Lu, Qiushi Li, Jining Li, Zhenchi Wang
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引用次数: 0

摘要

本研究利用三维有限元模型研究了叠层Inconel 625沉积金属和FeCr合金材料的BTA钻头的磨损预测。切削速度的提高导致界面温度升高,强化了Inconel 625的磨粒磨损机制,而FeCr合金则以黏着磨损为主。将中心复合设计(CCD)与有限元模拟相结合,开发了响应面法(RSM),得到了作为刀具磨损预测输入的界面温度和常压。该方法显著提高了计算效率,并对标定后的摩擦模型提供了准确的预测。考虑温度对Inconel 625磨损率的敏感性,建立了改进的Usui磨损模型。与原Usui方程相比,预测精度有显著提高。通过实验验证了所提出的刀具磨损预测模型。BTA钻头外边缘和中间边缘的最大预测侧面磨损宽度偏差分别为2%和7%。结果表明,BTA钻头磨损预测方法对具有不同磨损特性的层合材料是有效的,为切削参数优化和刀具更换策略提供了理论指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wear prediction of BTA drill based on finite element method for drilling laminated Inconel 625 deposited metal and FeCr alloy material
This study investigated the wear prediction of BTA drills for laminated Inconel 625 deposited metal and FeCr alloy materials using 3D finite element modelling. High interface temperature owing to increased cutting speed enhances the abrasive wear mechanism of Inconel 625, while FeCr alloy exhibits a predominantly adhesive wear mechanism. The interface temperature and normal pressure required as inputs for tool-wear prediction were obtained using response surface methodology (RSM), which was developed by combining the central composite design (CCD) with finite element method simulation. This approach significantly improved the computational efficiency and provides accurate predictions with the calibrated friction model. A modified Usui wear model was established considering the sensitivity of temperature to wear rate for Inconel 625. A significant improvement in prediction accuracy was observed compared with the original Usui equation. The proposed tool-wear prediction model was validated through experimental tests. The maximum predicted flank wear width deviations for the outer and intermediate edges of BTA drill were 2% and 7%, respectively. The results demonstrate the effectiveness of the proposed BTA drill wear-prediction approach for laminated materials with different wear characteristics, providing theoretical guidance for cutting-parameter optimisation and tool-replacement strategies.
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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