Experimental and numerical modelling of mechanical properties of 3D printed honeycomb structures
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{PANDA:2018:Measurement,
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author = "Biranchi Panda and Marco Leite and
Bibhuti Bhusan Biswal and Xiaodong Niu and Akhil Garg",
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title = "Experimental and numerical modelling of mechanical
properties of {3D} printed honeycomb structures",
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journal = "Measurement",
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volume = "116",
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pages = "495--506",
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year = "2018",
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keywords = "genetic algorithms, genetic programming, 3D printing
(3DP), Cellular structures, Computational intelligence
(CI), Mechanical Properties",
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ISSN = "0263-2241",
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DOI = "doi:10.1016/j.measurement.2017.11.037",
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URL = "http://www.sciencedirect.com/science/article/pii/S0263224117307467",
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abstract = "In recent years, 3-D printing experts have laid
emphasis on designing and printing the cellular
structures, since the key advantages (high strength to
weight ratio, thermal and acoustical insulation
properties) offered by these structures makes them
highly versatile to be used in aerospace and automotive
industries. In the present work, an experimental study
is firstly conducted to study the effects of the design
parameters (wall thickness and cell size) on the
mechanical properties i.e yield strength and modulus of
elasticity (stiffness) of honeycomb cellular structures
printed by fused deposition modelling (FDM) process.
Further, three promising numerical modelling methods
based on computational intelligence (CI) such as
genetic programming (GP), automated neural network
search (ANS) and response surface regression (RSR) were
applied and their performances were compared while
formulating models for the two mechanical properties.
Statistical analysis concluded that the ANS model
performed the best followed by GP and RSR models. The
experimental findings were validated by performing the
2-D, 3-D surface analysis on formulated models based on
ANS",
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keywords = "genetic algorithms, genetic programming, 3D printing
(3DP), Cellular structures, Computational intelligence
(CI), Mechanical Properties",
- }
Genetic Programming entries for
Biranchi Narayan Panda
Marco Leite
Bibhuti Bhusan Biswal
Xiaodong Niu
Akhil Garg
Citations