1. Analysis and prediction of surface roughness for robotic belt grinding of complex blade considering coexistence of elastic deformation and varying curvature
- Author
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Xiaohu Xu, Sijie Yan, Dahu Zhu, Ye Songtao, Han Ding, and Zeyuan Yang
- Subjects
Belt grinding ,Surface (mathematics) ,Materials science ,Blade (geometry) ,General Engineering ,02 engineering and technology ,Surface finish ,Mechanics ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Curvature ,01 natural sciences ,0104 chemical sciences ,Machined surface ,Machining ,Surface roughness ,General Materials Science ,0210 nano-technology - Abstract
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.
- Published
- 2021