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Research on roughness prediction model of robotic sanding carbon fiber reinforced plastics

Guo Lei Wang, Cun Ning Lin, Su Ming Chen, Shan Yue, Hong Ming Xue, Xiang Lin Gao

发表年份
2023
引用次数
2
访问权限
开放获取

摘要

Abstract By taking a pneumatic eccentric grinder and round sandpapers as research objects, the modeling method is proposed to accurately predict the surface roughness of robotic sanding carbon fiber reinforced plastic parts. A four-factor, the four-level orthogonal experiment was conducted which took four process parameters into account: pressing force, feeding speed, grit size, and supply air pressure. The multiple linear regression analysis method was then applied to create a roughness prediction model. Furthermore, accuracy validation results show that the model’s prediction error is within ±9%.

关键词

Surface roughnessSurface finishFiberMaterials sciencePressingPulverizerComposite materialMechanical engineeringLinear regressionRegression analysis

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