M. Moradi, M. Rezayat, Saleh Meiabadi, A. R. Fakhir, M. Shamsborhan, Giuseppe Casalino, M. Karamimoghadam
{"title":"Precision Enhancement in Tough Polylactic Acid Material Extrusion: A\n Systematic Response Surface Investigation for Sustainable\n Manufacturing","authors":"M. Moradi, M. Rezayat, Saleh Meiabadi, A. R. Fakhir, M. Shamsborhan, Giuseppe Casalino, M. Karamimoghadam","doi":"10.4271/13-05-03-0018","DOIUrl":null,"url":null,"abstract":"This research systematically explores the significant impact of geometrical\n dimensions within fused deposition modeling (FDM), with a focus on the influence\n of raster angle and interior fill percentage. Through meticulous experimentation\n and the application of response surface modeling (RSM), the influence on\n critical parameters such as weight, length, width at ends, width at neck,\n thickness, maximum load, and elongation at tensile strength is thoroughly\n analyzed. The study, supported by ANOVA, highlights the notable effects of\n raster angle and interior fill percentage, particularly on width at ends, width\n at neck, and thickness. During the optimization phase, specific\n parameters—precisely, a raster angle of 31.68 and an interior fill percentage of\n 27.15—are identified, resulting in an exceptional desirability score of 0.504.\n These insights, substantiated by robust statistical data, fill a critical gap in\n the understanding of 3D-printed parts, offering practical recommendations for\n superior mechanical performance across diverse applications.","PeriodicalId":181105,"journal":{"name":"SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy","volume":"77 22","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/13-05-03-0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research systematically explores the significant impact of geometrical
dimensions within fused deposition modeling (FDM), with a focus on the influence
of raster angle and interior fill percentage. Through meticulous experimentation
and the application of response surface modeling (RSM), the influence on
critical parameters such as weight, length, width at ends, width at neck,
thickness, maximum load, and elongation at tensile strength is thoroughly
analyzed. The study, supported by ANOVA, highlights the notable effects of
raster angle and interior fill percentage, particularly on width at ends, width
at neck, and thickness. During the optimization phase, specific
parameters—precisely, a raster angle of 31.68 and an interior fill percentage of
27.15—are identified, resulting in an exceptional desirability score of 0.504.
These insights, substantiated by robust statistical data, fill a critical gap in
the understanding of 3D-printed parts, offering practical recommendations for
superior mechanical performance across diverse applications.