Polishing of uneven surfaces using industrial robots based on neural network and genetic algorithm
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In conventional polishing processes, the polishing parameters are constant along the surface. Hence, if the desired material to be removed from the surface is not equally distributed, an over-polishing may occur for the areas with small material removal and under-polishing for the areas with large material removal. Consequently, the quality of the processed surface may not meet the manufacture requirements. In this paper, the authors proposed a polishing algorithm to deal with this problem using neural network (NNW) and genetic algorithm (GA). The NNW is used to predict the polishing performance parameters corresponding to a certain polishing parameters. In addition, the GA is employed to optimize the polishing parameters according to an objective function that includes the desired material removal and surface roughness improvement using the output from the trained NNW model. The effectiveness of the proposed algorithm is verified through experiments of polishing uneven surface.
KeywordsRobotic finishing Uneven surface polishing Force control Neural network and genetic algorithm
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The authors gratefully acknowledge the support of the A*STAR Industrial Robotics Program Science and Engineering Research Council Grant number 122510004.
- 5.Khalick M, Wang D (2016) Electrochemical mechanical polishing technology: recent developments and future research and industrial needs. The International Journal of Advanced Manufacturing Technology pp 1–16. doi: 10.1007/s00170-015-8119-6
- 7.Christian B, Roland T, Richard Z, Christian W (2010) Development of a force controlled orbital polishing head for free form surface finishing. Prod Eng 4(2):269–277Google Scholar
- 10.Han G, Zhang H, Su Q (2009) Research on the robotic polishing combined with electromagnetic field of rapid metal tool PIERS Proceedings, Beijing, China, pp 942–945Google Scholar
- 11.Hartmann C, Opritescu D, Volk W (2016) An artificial neural network approach for tool path generation in incremental sheet metal free-forming. J Intell Manuf pp. 1–14Google Scholar
- 15.Khalick M, Wang D (2015) A novel mechatronics design of an electrochemical mechanical end-effector for robotic-based surface polishing 2015 IEEE/SICE International symposium on system integration. Meijo University, NagoyaGoogle Scholar
- 20.Nagata F, Kusumoto Y, Watanabe K, Tsuda K, Yasuda K, Yokoyama K, Omoto M, Miyako H (2004) Polishing robot for pet bottle molds using a learning-based hybrid position/force controller 5Th asian control conference, Victoria, Australia, vol 2, pp 914–921Google Scholar
- 27.Takeuchi Y, Ge D, Asakawa N (1993) Automated polishing process with a human-like dexterous robot Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on, pp 950–956Google Scholar