Modeling and analysis for material removal and surface roughness in fluid jet polishing of optical glass

作     者：Zhongchen CAO Ming WANG Haitao LIU Tian HUANG Zhongchen CAO;Ming WANG;Haitao LIU;Tian HUANG

作者机构：Key Laboratory of Mechanism Theory and Equipment Design of Ministry of EducationTianjin UniversityTianjin 300072China School of EngineeringThe University of WarwickCoventry CV47ALUK 

出 版 物：《Friction》 (摩擦（英文版）)

年 卷 期：2024年第12卷第7期

页      面：1548-1563页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：the National Natural Science Foundation of China(No.51905376) 

主　　题：fluid jet polishing(FJP) computational fluid dynamics(CFD) material removal mechanism surface roughness theoretical model 

摘      要：luid jet polishing(FJP)is a non-contact polishing technology that can fabricate free-form optical surfaces with sub-micron-level form accuracy and nano-level surface roughness,especially for hard and brittle *** surface generation model of FJP can be used to guide the determination and optimization of process parameters and is of great significance for understanding the evolution mechanism of surface ***,predictive models for the microscopic topography of polished surfaces are still *** study established a macroscopic surface profile model for predicting 3D material removal characteristics and surface texture by combining the 3D computer fluid dynamics(CFD)simulation model and single-particle erosion mechanism.A fractal theory-based erosion model has been built to calculate the material removal caused by the erosion of a single abrasive particle on the rough surface;thus,it predicts the micro-topography and surface roughness of the polished samples.A series of polishing experiments were conducted to analyze the feasibility and accuracy of the model quantitatively and study the influence mechanism of process parameters on the material removal characteristics and surface *** indicated that the models could well predict material removal and surface *** prediction accuracy of the surface roughness Ra and maximum removal depth is better than 91.6%and 90%,*** is also found that the material removal rate of FJP could reach 0.517 mm3/min,and the surface roughness convergence rate could reach 62.9%.