Zili Zhang, Chi Fai Cheung, Lai Ting Ho, Chunjin Wang
{"title":"Mechanistic insights and modeling of tool mark removal in fluid jet polishing for ultra-precision machining","authors":"Zili Zhang, Chi Fai Cheung, Lai Ting Ho, Chunjin Wang","doi":"10.1016/j.wear.2025.206146","DOIUrl":null,"url":null,"abstract":"<div><div>Tool marks, which are unavoidable surface defects in ultra-precision machining processes such as milling, grinding, and turning, can significantly degrade the performance of high-end components. Therefore, the elimination of these marks to achieve a smooth finish is imperative. Fluid jet polishing has emerged as a promising technique owing to its shape-adaptive characteristics, which allow for effective application on both freeform and structured surfaces while ensuring high dimensional accuracy. However, the underlying mechanism of tool mark removal in fluid jet polishing remains poorly understood, posing a challenge to predicting its efficacy. Currently, the effectiveness of tool mark removal is primarily evaluated through laborious trial-and-error experimentation. This study seeks to elucidate the mechanism of tool mark removal in fluid jet polishing to enhance its efficacy. A physical model was established to simulate the abrasive erosion selectivity and the evolution of tool mark morphologies. A comprehensive set of experiments was conducted to validate the model's accuracy. By leveraging this physical model, manufacturers can gain critical insights into the tool mark removal process and make informed decisions to optimize the parameters in fluid jet polishing. Ultimately, this research advances the quality and performance of high-end components in ultra-precision machining.</div></div>","PeriodicalId":23970,"journal":{"name":"Wear","volume":"578 ","pages":"Article 206146"},"PeriodicalIF":5.3000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wear","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043164825004156","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Tool marks, which are unavoidable surface defects in ultra-precision machining processes such as milling, grinding, and turning, can significantly degrade the performance of high-end components. Therefore, the elimination of these marks to achieve a smooth finish is imperative. Fluid jet polishing has emerged as a promising technique owing to its shape-adaptive characteristics, which allow for effective application on both freeform and structured surfaces while ensuring high dimensional accuracy. However, the underlying mechanism of tool mark removal in fluid jet polishing remains poorly understood, posing a challenge to predicting its efficacy. Currently, the effectiveness of tool mark removal is primarily evaluated through laborious trial-and-error experimentation. This study seeks to elucidate the mechanism of tool mark removal in fluid jet polishing to enhance its efficacy. A physical model was established to simulate the abrasive erosion selectivity and the evolution of tool mark morphologies. A comprehensive set of experiments was conducted to validate the model's accuracy. By leveraging this physical model, manufacturers can gain critical insights into the tool mark removal process and make informed decisions to optimize the parameters in fluid jet polishing. Ultimately, this research advances the quality and performance of high-end components in ultra-precision machining.
期刊介绍:
Wear journal is dedicated to the advancement of basic and applied knowledge concerning the nature of wear of materials. Broadly, topics of interest range from development of fundamental understanding of the mechanisms of wear to innovative solutions to practical engineering problems. Authors of experimental studies are expected to comment on the repeatability of the data, and whenever possible, conduct multiple measurements under similar testing conditions. Further, Wear embraces the highest standards of professional ethics, and the detection of matching content, either in written or graphical form, from other publications by the current authors or by others, may result in rejection.