JOURNAL ARTICLE

A MATERIAL REMOVAL MODEL FOR ROBOTIC BELT GRINDING PROCESS

Wu ShuihuaKazem KazerounianZhongxue GanYunquan Sun

Year: 2014 Journal:   Machining Science and Technology Vol: 18 (1)Pages: 15-30   Publisher: Taylor & Francis

Abstract

Abstract Robotic belt grinding is an effective process for manufacturing workpieces with complicated free-form geometries. However, due to the relatively low stiffness in the system, more sophisticated modeling and control strategies are called for. This article presents a novel model for estimation of the material removal in the robotic belt grinding process. In particular, two process parameters, robot velocity and contact force between the workpiece and the contact wheel, are analyzed in the presented process model. A superposition method is introduced to estimate the pressure distribution in the contact area. The presented method greatly reduces the computation time compared to finite element analysis (FEA) methods and provides explicit equations for real-time system analysis. Additionally, a shape-dependent model is proposed to estimate the material removal. The model introduces local coefficients to denote the material removal ability of the system at certain locations. This developed methodology can essentially adapt to workpieces with complicated geometries. Experimental results verified the effectiveness and accuracy of the model. Keywords: conformance grindingmaterial removal modelrobotic belt grinding Notes Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/lmst.

Keywords:
Grinding Process (computing) Finite element method Machining Mechanical engineering Computation Stiffness Superposition principle Computer science Engineering Engineering drawing Algorithm Structural engineering Mathematics Mathematical analysis

Metrics

31
Cited By
0.37
FWCI (Field Weighted Citation Impact)
21
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Surface Polishing Techniques
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced machining processes and optimization
Physical Sciences →  Engineering →  Mechanical Engineering
Advanced Measurement and Metrology Techniques
Physical Sciences →  Engineering →  Mechanical Engineering

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