research-article

Evolutionary path generation for reduction of thermal variations in thermal spray coating

Authors:

Daniel Hegels,

Heinrich MüllerAuthors Info & Claims

GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation

Pages 1277 - 1284

https://doi.org/10.1145/2463372.2463521

Published: 06 July 2013 Publication History

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Abstract

Thermal spraying is a production process which consists of spraying hot material onto a workpiece surface in order to form a coating of a desired thickness. This paper describes a path generation algorithm for industrial robot-based thermal spraying which generates the desired coating as well as keeps the thermal variation on the object surface during the process low. The problem is formulated as a discrete optimization problem which includes the quality of the particle coating and the physics of heat induction, heat diffusion and cooling of the surface. The optimization problem is solved by an Evolutionary Algorithm. By specific mutation operators, self-adaptation, and dropping the concept of generations, an improvement of the quality of the results of over 25% compared to standard operations is achieved. The evolutionary results overall outperform the solutions generated by the often-used strategy of direction-parallel paths.

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Cited By

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(2018)Simulation based iterative post-optimization of paths of robot guided thermal sprayingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2015.02.00235:C(1-15)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1016/j.rcim.2015.02.002
Kout AMüller H(2014)Tool-adaptive offset paths on triangular mesh workpiece surfacesComputer-Aided Design10.1016/j.cad.2014.01.00950(61-73)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.1016/j.cad.2014.01.009

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Evolutionary path generation for reduction of thermal variations in thermal spray coating

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Published In

GECCO '13: Proceedings of the 15th annual conference on Genetic and evolutionary computation

July 2013

1672 pages

ISBN:9781450319638

DOI:10.1145/2463372

Editor:
Christian Blum
IKERBASQUE and University of the Basque Country UPV/EHU, Spain
,
General Chair:
Enrique Alba
University of Malaga, Spain

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2013

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GECCO '13

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SIGEVO

GECCO '13: Genetic and Evolutionary Computation Conference

July 6 - 10, 2013

Amsterdam, The Netherlands

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GECCO '13 Paper Acceptance Rate 204 of 570 submissions, 36%;

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

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(2018)Simulation based iterative post-optimization of paths of robot guided thermal sprayingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2015.02.00235:C(1-15)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1016/j.rcim.2015.02.002
Kout AMüller H(2014)Tool-adaptive offset paths on triangular mesh workpiece surfacesComputer-Aided Design10.1016/j.cad.2014.01.00950(61-73)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.1016/j.cad.2014.01.009

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