An experimental investigation on strain controlled fatigue behaviour of FDM build parts

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Mishra:2018:IJPQM,

• author = "Swayam Bikash Mishra and Siba Sankar Mahapatra",
• title = "An experimental investigation on strain controlled fatigue behaviour of FDM build parts",
• journal = "International Journal of Productivity and Quality Management",
• year = "2018",
• volume = "24",
• number = "3",
• pages = "323--345",
• month = jul # " 6",
• keywords = "genetic algorithms, genetic programming, analysis of variance, ANOVA, fatigue, fused deposition modelling, FDM, low cycle fatigue, LCF, rapid prototyping",
• bibsource = "OAI-PMH server at oai.repec.org",
• identifier = "RePEc:ids:ijpqma:v:24:y:2018:i:3:p:323-345",
• oai = "oai:RePEc:ids:ijpqma:v:24:y:2018:i:3:p:323-345",
• URL = "http://www.inderscience.com/link.php?id=92980",
• DOI = "doi:10.1504/IJPQM.2018.092980",
• 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

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