Work

A surface roughness prediction model of robot grinding based on orthogonal experiments

Year: 2025

Type: conference-paper

Abstract: Design a three-factor and three-level orthogonal experiment to analyze the effects of belt grit, robot speed, and sand belt wheel speed on surface roughness during robot grinding a cast iron pipe tee. Analysis results show that belt grit has a significant impact on the surface roughness. We used segmented linear surfaces, segmented cubic surfaces, and biharmonic surfaces to analyze the influence of process parameters on surface roughness. The results show that the fitting effect of biharmonic surfaces was good. Finally, a surface roughness prediction model for robot grinding of cast iron parts was established based on multiple linear regression analysis.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/3068/1/012001

Authors: Ting Wang, Quanjun Wu

Institutions: Weifang University, Weichai Power (China), State Key Laboratory of Internal Combustion Engine Reliability

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4413190856

FWCI: 3.971

Cites:

Cited by: 1

Related to: 10