Intelligent scan trajectories for pulsed laser polishing

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dc.contributor.author Vadali, Madhu
dc.contributor.author Ma, Chao
dc.contributor.author Li, Xiaochun
dc.contributor.author Pfefferkorn, Frank E.
dc.contributor.author Duffie, Neil A.
dc.date.accessioned 2018-07-17T09:38:45Z
dc.date.available 2018-07-17T09:38:45Z
dc.date.issued 2018-01
dc.identifier.citation Vadali, Madhu; Ma, Chao; Li, Xiaochun; Pfefferkorn, Frank E. and Duffie, Neil A.,"Intelligent scan trajectories for pulsed laser polishing", International Journal of Mechatronics and Manufacturing Systems, DOI: 10.1504/IJMMS.2018.092866, vol. 11, no. 2-3, pp. 101-119, Jan. 2018. en_US
dc.identifier.issn 1753-1039
dc.identifier.uri https://doi.org/10.1504/IJMMS.2018.092866
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3806
dc.description.abstract The objective of this work is to generate irregular, smooth, adaptive laser scan trajectories for pulsed laser polishing. Traditionally pulsed laser polishing, like other surface finishing processes has used zig-zag scan paths. Zig-zag trajectories are simple in nature, are comprised of sharp turns, the dynamics of the positioning system are not considered, and more importantly are not adaptable because the path generation is independent of surface condition. In this paper, the authors present an intelligent scan trajectory generation scheme that can overcome these limitations. These trajectories are based on the artificial potential fields method of path planning that take the surface condition into account. Computer simulations are presented to illustrate the characteristics of the path and guidelines are developed for choosing the trajectory generation parameters. Experiments show that these trajectories result in marginal improvements in the average surface roughness when compared to the traditional zig-zag trajectories, all the while overcoming the limitations. Finally, smooth, irregular scan trajectories are generated for a micro end milled Ti6Al4V surface with a feature that needs no polishing, thus illustrating the versatility of the trajectory generations scheme.
dc.description.statementofresponsibility by Madhu Vadali, Chao Ma, Xiaochun Li, Frank E. Pfefferkorn and Neil A. Duffie
dc.language.iso en en_US
dc.publisher Inderscience en_US
dc.subject laser en_US
dc.subject polishing en_US
dc.subject intelligent en_US
dc.subject path planning en_US
dc.subject surface roughness en_US
dc.subject zig-zag en_US
dc.subject artificial fields en_US
dc.subject Marangoni flows en_US
dc.subject smoothnes en_US
dc.subject micro melting en_US
dc.title Intelligent scan trajectories for pulsed laser polishing en_US
dc.type Article en_US
dc.relation.journal International Journal of Mechatronics and Manufacturing Systems


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