Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation

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@Article{Panda:2016:Measurement,

• author = "Biranchi Narayan Panda and Akhil Garg and K. Shankhwar",
• title = "Empirical investigation of environmental characteristic of {3-D} additive manufacturing process based on slice thickness and part orientation",
• journal = "Measurement",
• volume = "86",
• pages = "293--300",
• year = "2016",
• ISSN = "0263-2241",
• DOI = "doi:10.1016/j.measurement.2016.03.006",
• URL = "http://www.sciencedirect.com/science/article/pii/S0263224116001615",
• abstract = "The significant amount of research has been done in improving the mechanical properties (compressive strength), dimensional accuracy (length, height and width), and build time of the components manufactured from the additive manufacturing process. In contrast to this, the research in the optimization of environmental characteristic i.e. energy consumption for the additive manufacturing processes such as selective laser sintering (SLS), and selective laser melting (SLM) needs significant attention. These processes intakes the significant portion of input laser energy for driving the laser system, heating system and other machine components. With world moving towards globalization of additive manufacturing processes, the optimization of laser energy consumption thus become a necessity from productivity and as well as an environmental perspective. Therefore, the present work performs the empirical investigation by proposing the optimization framework in modelling of laser energy consumption of the SLS process. The experimental procedure involves the computation of energy consumption by measuring the total area of sintering. The optimization framework when applied on the experimental data generates the functional expression for laser energy consumption which suggests that the slice thickness is a vital parameter in optimizing it. The implications arising from the study is discussed.",
• keywords = "genetic algorithms, genetic programming, Additive manufacturing (AM), Energy consumption, Environmental characteristic",
• notes = "IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Portugal",

}

Genetic Programming entries for Biranchi Narayan Panda Akhil Garg K Shankhwar

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