{"title":"Enhanced cutting force model in micro-milling incorporating material separation criterion","authors":"Bo-Wen Song, Da-Wei Zhang, Xiu-Bing Jing, Ying-Ying Ren, Yun Chen, Huai-Zhong Li","doi":"10.1007/s40436-025-00546-z","DOIUrl":null,"url":null,"abstract":"<div><p>Precisely discerning the material separation criterion in micro-machining remains challenging yet crucial for accurately predicting cutting forces by accounting for shearing and ploughing effects. This study introduces a novel model, the instantaneous uncut chip thickness (IUCT), to enhance the accuracy of cutting force prediction in micro-milling processes. The model quantitatively integrates instantaneous shearing thickness (IST) and instantaneous ploughing thickness (IPT). The critical determinants of shearing and ploughing effects rely on the material separation point, modeled using the dead metal zone concept, which considers chip fracture caused by incomplete material accumulation. The micro-milling process is categorized into four types based on the proportion of IST and IPT within one revolution. Mechanistic cutting-force models are developed for each type and validated through experiments. The experimental results align closely with theoretical predictions, with peak force errors remaining within 10%, affirming the accuracy of the analytical force models.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 4","pages":"813 - 830"},"PeriodicalIF":3.9000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s40436-025-00546-z","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Precisely discerning the material separation criterion in micro-machining remains challenging yet crucial for accurately predicting cutting forces by accounting for shearing and ploughing effects. This study introduces a novel model, the instantaneous uncut chip thickness (IUCT), to enhance the accuracy of cutting force prediction in micro-milling processes. The model quantitatively integrates instantaneous shearing thickness (IST) and instantaneous ploughing thickness (IPT). The critical determinants of shearing and ploughing effects rely on the material separation point, modeled using the dead metal zone concept, which considers chip fracture caused by incomplete material accumulation. The micro-milling process is categorized into four types based on the proportion of IST and IPT within one revolution. Mechanistic cutting-force models are developed for each type and validated through experiments. The experimental results align closely with theoretical predictions, with peak force errors remaining within 10%, affirming the accuracy of the analytical force models.
期刊介绍:
As an innovative, fundamental and scientific journal, Advances in Manufacturing aims to describe the latest regional and global research results and forefront developments in advanced manufacturing field. As such, it serves as an international platform for academic exchange between experts, scholars and researchers in this field.
All articles in Advances in Manufacturing are peer reviewed. Respected scholars from the fields of advanced manufacturing fields will be invited to write some comments. We also encourage and give priority to research papers that have made major breakthroughs or innovations in the fundamental theory. The targeted fields include: manufacturing automation, mechatronics and robotics, precision manufacturing and control, micro-nano-manufacturing, green manufacturing, design in manufacturing, metallic and nonmetallic materials in manufacturing, metallurgical process, etc. The forms of articles include (but not limited to): academic articles, research reports, and general reviews.