A novel force feedback model for virtual robot teaching of belt lapping

Virtual offline robot teaching provides a flexible and more economic robot programming solution to belt lapping. Due to the elasticity of the components, the applied force directly influences the polishing result, and the corresponding reaction force sensed by the user affects his or her decision on next operation. However, most of the simulation works reported so far focus mainly on the machining effect of belt lapping but not the contacting force. Therefore, this paper proposes a novel force feedback model for virtual robot teaching of belt lapping. By analyzing the force conditions at different process stages, three kinds of forces, namely natural force, colliding force, and resistance force, are defined to facilitate users with continuous force feedback during a virtual lapping process. To validate the model, a comparative study is done between the actual force measured during the belt lapping process and that simulated by the proposed force model. Moreover, evaluators are involved to conduct the virtual lapping of a mechanical part using the prototype developed. Both the quantitative and the evaluation experiments have validated that the force model is able to provide users with realistic force feedback and better ergonomic feelings of immersion. Moreover, they are also positive on the flexibility and efficiency of using the prototype for virtual robot teaching of belt lapping processes.

[1]  James Millar Ritchie,et al.  The development of an integrated haptic VR machining environment for the automatic generation of process plans , 2013, Comput. Ind..

[2]  Faieza Abdul Aziz,et al.  A REVIEW OF HAPTIC FEEDBACK IN VIRTUAL REALITY FOR MANUFACTURING INDUSTRY , 2009 .

[3]  Fritz Klocke,et al.  Material Removal Mechanisms in Lapping and Polishing , 2003 .

[4]  H. Zahouani,et al.  The effect of abrasive grain's wear and contact conditions on surface texture in belt finishing , 2007 .

[5]  A. Khellouki,et al.  The effect of lubrication conditions on belt finishing , 2010 .

[6]  Manfred Tscheligi,et al.  Augmented reality for industrial robot programmers: Workload analysis for task-based, augmented reality-supported robot control , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[7]  W. Grzesik,et al.  Characterization of surface textures generated on hardened steel parts in high-precision machining operations , 2015 .

[8]  Jianyong Li,et al.  Characteristic quantitative evaluation and stochastic modeling of surface topography for zirconia alumina abrasive belt , 2017 .

[9]  Gabriel Abba,et al.  Approximate Analytical Model for Hertzian Elliptical Contact Problems , 2006 .

[10]  D. Butler,et al.  Simulation of surface grinding process, part 2: interaction of the abrasive grain with the workpiece , 2005 .

[11]  Bernd Kuhlenkötter,et al.  Real-time simulation and visualization of robotic belt grinding processes , 2008 .

[12]  Xun Xu,et al.  Review: Virtual machine tools and virtual machining-A technological review , 2011 .

[13]  Jakob Nielsen,et al.  Heuristic Evaluation of Prototypes (individual) , 2022 .

[14]  Dahu Zhu,et al.  On energetic assessment of cutting mechanisms in robot-assisted belt grinding of titanium alloys , 2015 .

[15]  Zahari Taha,et al.  VR-Based Robot Programming and Simulation System for an Industrial Robot , 2008 .

[16]  Hwa Jen Yap,et al.  Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment , 2016, Scientific Reports.

[17]  T. A. Nguyen,et al.  Simulation of precision grinding process, part 1: generation of the grinding wheel surface , 2005 .

[18]  Yizhong Wang,et al.  Study on Welder Training by Means of Haptic Guidance and Virtual Reality for Arc Welding , 2006, ROBIO.

[19]  Paulo Dias,et al.  Using Heuristic Evaluation to Foster Visualization Analysis and Design Skills , 2016, IEEE Computer Graphics and Applications.

[20]  Kazem Kazerounian,et al.  A simulation platform for optimal selection of robotic belt grinding system parameters , 2013 .