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,
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author = "Biranchi Narayan Panda and Akhil Garg and
K. Shankhwar",
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title = "Empirical investigation of environmental
characteristic of {3-D} additive manufacturing process
based on slice thickness and part orientation",
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journal = "Measurement",
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volume = "86",
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pages = "293--300",
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year = "2016",
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ISSN = "0263-2241",
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DOI = "doi:10.1016/j.measurement.2016.03.006",
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URL = "http://www.sciencedirect.com/science/article/pii/S0263224116001615",
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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.",
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keywords = "genetic algorithms, genetic programming, Additive
manufacturing (AM), Energy consumption, Environmental
characteristic",
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notes = "IDMEC, Instituto Superior Tecnico, Universidade de
Lisboa, Lisboa, Portugal",
- }
Genetic Programming entries for
Biranchi Narayan Panda
Akhil Garg
K Shankhwar
Citations