A Genetic Programming Approach to Model Detailed Surface Integrity of Additive Manufacturing Parts

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@Article{Jamiolahmadi:2015:IFAC-PapersOnLine,

• author = "Saeed Jamiolahmadi and Ahmad Barari",
• title = "A Genetic Programming Approach to Model Detailed Surface Integrity of Additive Manufacturing Parts",
• journal = "IFAC-PapersOnLine",
• volume = "48",
• number = "3",
• pages = "2339--2344",
• year = "2015",
• note = "15th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2015",
• ISSN = "2405-8963",
• DOI = "doi:10.1016/j.ifacol.2015.06.437",
• URL = "http://www.sciencedirect.com/science/article/pii/S240589631500676X",
• abstract = "Surface integrity is a crucial issue that needs to be improved in the additive manufactured products. Precise evaluation of surface integrity demands a detailed understanding of the surface behaviour. Optical surface and roughness measurement sensors only provide information of the discrete points measured from the manufactured surface without the details of the surface topography. Throughout this paper, a methodology is developed to approximate the surface behavior. This work employs a Genetic Programming approach to assess the relation between the position of the measured points and their corresponding roughness. The resulting function would assist to reconstruct the surface three dimensional topography. To validate the process, actual case study on an additive manufactured part is examined for the surface integrity.",
• keywords = "genetic algorithms, genetic programming, Surface integrity, Surface roughness, Additive manufacturing, Surface function",

}

Genetic Programming entries for Saeed Jamiolahmadi Ahmad Barari

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