Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature  

作　　者：XU XiaoHu YE SongTao YANG ZeYuan YAN SiJie ZHU DaHu DING Han 

机构地区：[1]State Key Laboratory of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan 430074,China [2]Hubei Key Laboratory of Advanced Technology for Automotive Components,Wuhan University of Technology,Wuhan 430070,China [3]Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China

出　　处：《Science China(Technological Sciences)》2021年第5期957-970,共14页中国科学（技术科学英文版）

基　　金：supported by the China Postdoctoral Science Foundation(Grant No.2019M662592);the National Key Research and Development Program of China(Grant No.2019YFA0706703);the National Natural Science Foundation of China(Grant Nos.51975443,51675394,51775211)。

摘　　要：Precision prediction of machined surface roughness is challenging facing the robotic belt grinding of complex blade,since this process is accompanied by significant elastic deformation.The resulting poor prediction accuracy,to a great extent,is attributed to the existing prediction model which less considers the dynamics.In this paper,an improved scallop height model is developed to predict and assess the machined surface roughness by taking into account the elastic deformation and the varying curvature of blade,then robotic belt grinding experiments are carried out to evaluate the proposed model from the perspective of surface roughness.Finally factors that influence the scallop height are analyzed,and the suitable empirical equation of surface roughness is proposed to assess and predict the surface quality from the aspect of blade concave and convex surface by adopting the constant scallop height machining.

关 键 词：robotic belt grinding scallop height elastic deformation surface roughness prediction 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] TH161.1[自动化与计算机技术—控制科学与工程]