An experimental investigation on strain controlled fatigue behaviour of FDM build parts
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gp-bibliography.bib Revision:1.7954
- @Article{Mishra:2018:IJPQM,
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author = "Swayam Bikash Mishra and Siba Sankar Mahapatra",
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title = "An experimental investigation on strain controlled
fatigue behaviour of FDM build parts",
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journal = "International Journal of Productivity and Quality
Management",
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year = "2018",
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volume = "24",
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number = "3",
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pages = "323--345",
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month = jul # " 6",
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keywords = "genetic algorithms, genetic programming, analysis of
variance, ANOVA, fatigue, fused deposition modelling,
FDM, low cycle fatigue, LCF, rapid prototyping",
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bibsource = "OAI-PMH server at oai.repec.org",
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identifier = "RePEc:ids:ijpqma:v:24:y:2018:i:3:p:323-345",
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oai = "oai:RePEc:ids:ijpqma:v:24:y:2018:i:3:p:323-345",
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URL = "http://www.inderscience.com/link.php?id=92980",
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DOI = "doi:10.1504/IJPQM.2018.092980",
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abstract = "Fused deposition modelling (FDM) can build parts with
complex geometry with relatively less material waste
and time from computer aided design (CAD) file saved in
stereolithography (.stl) format. Since FDM builds
functional parts, it is not only subjected to static
loading but also dynamic loading. The behaviour of
build parts under repetitive cyclic loading resulting
in fatigue needs to be established because it affects
functionality as well as the durability. The present
study aims at investigating the mechanism of fatigue
and influence of FDM process parameters on fatigue life
when the build parts are subjected to repetitive cyclic
loads. Low cycle fatigue (LCF) test is carried out
under strain-controlled mode for better
characterisation of fatigue life of FDM build parts.
Using response surface methodology, the relationship
between FDM process parameters and fatigue life is
developed. Genetic programming (GP) technique is
adopted to predict the fatigue life of the build
parts.",
- }
Genetic Programming entries for
Swayam Bikash Mishra
Siba Sankar Mahapatra
Citations