Literature DB >> 33322445

Multi-Response Optimization of Tensile Creep Behavior of PLA 3D Printed Parts Using Categorical Response Surface Methodology.

Muhammad Waseem1, Bashir Salah2, Tufail Habib1, Waqas Saleem3, Muhammad Abas1, Razaullah Khan4, Usman Ghani5, Muftooh Ur Rehman Siddiqi6.   

Abstract

Three-dimensional printed plastic products developed through fused deposition modeling (FDM) endure long-term loading in most of the applications. The tensile creep behavior of such products is one of the imperative benchmarks to ensure dimensional stability under cyclic and dynamic loads. This research dealt with the optimization of the tensile creep behavior of 3D printed parts produced through fused deposition modeling (FDM) using polylactic acid (PLA) material. The geometry of creep test specimens follows the American Society for Testing and Materials (ASTM D2990) standards. Three-dimensional printing is performed on an open-source MakerBot desktop 3D printer. The Response Surface Methodology (RSM) is employed to predict the creep rate and rupture time by undertaking the layer height, infill percentage, and infill pattern type (linear, hexagonal, and diamond) as input process parameters. A total of 39 experimental runs were planned by means of a categorical central composite design. The analysis of variance (ANOVA) results revealed that the most influencing factors for creep rate were layer height, infill percentage, and infill patterns, whereas, for rupture time, infill pattern was found significant. The optimized levels obtained for both responses for hexagonal pattern were 0.1 mm layer height and 100% infill percentage. Some verification tests were performed to evaluate the effectiveness of the adopted RSM technique. The implemented research is believed to be a comprehensive guide for the additive manufacturing users to determine the optimum process parameters of FDM which influence the product creep rate and rupture time.

Entities:  

Keywords:  design for additive manufacturing; fused deposition modeling; modeling polymer manufacturing; polylactic acid; tensile creep behavior

Year:  2020        PMID: 33322445      PMCID: PMC7764475          DOI: 10.3390/polym12122962

Source DB:  PubMed          Journal:  Polymers (Basel)        ISSN: 2073-4360            Impact factor:   4.329


  5 in total

1.  Polymorphism of racemic poly(L-lactide)/poly(D-lactide) blend: effect of melt and cold crystallization.

Authors:  Rui-Ying Bao; Wei Yang; Wen-Rou Jiang; Zheng-Ying Liu; Bang-Hu Xie; Ming-Bo Yang
Journal:  J Phys Chem B       Date:  2013-03-22       Impact factor: 2.991

2.  Antioxidant PLA Composites Containing Lignin for 3D Printing Applications: A Potential Material for Healthcare Applications.

Authors:  Juan Domínguez-Robles; Niamh K Martin; Mun Leon Fong; Sarah A Stewart; Nicola J Irwin; María Isabel Rial-Hermida; Ryan F Donnelly; Eneko Larrañeta
Journal:  Pharmaceutics       Date:  2019-04-04       Impact factor: 6.321

3.  Properties and Characterization of a PLA-Chitin-Starch Biodegradable Polymer Composite.

Authors:  N G Olaiya; Indra Surya; P K Oke; Samsul Rizal; E R Sadiku; S S Ray; P K Farayibi; Md Sohrab Hossain; H P S Abdul Khalil
Journal:  Polymers (Basel)       Date:  2019-10-11       Impact factor: 4.329

4.  Polylactide (PLA) Filaments a Biobased Solution for Additive Manufacturing: Correlating Rheology and Thermomechanical Properties with Printing Quality.

Authors:  Gianluca Cicala; Davide Giordano; Claudio Tosto; Giovanni Filippone; Antonino Recca; Ignazio Blanco
Journal:  Materials (Basel)       Date:  2018-07-11       Impact factor: 3.623

  5 in total
  2 in total

1.  Applicability of Selected 3D Printing Materials in Electrochemistry.

Authors:  Marta Choińska; Vojtěch Hrdlička; Hana Dejmková; Jan Fischer; Luděk Míka; Eva Vaněčková; Viliam Kolivoška; Tomáš Navrátil
Journal:  Biosensors (Basel)       Date:  2022-05-07

2.  Natural Rubber Blend Optimization via Data-Driven Modeling: The Implementation for Reverse Engineering.

Authors:  Allen Jonathan Román; Shiyi Qin; Julio C Rodríguez; Leonardo D González; Victor M Zavala; Tim A Osswald
Journal:  Polymers (Basel)       Date:  2022-05-31       Impact factor: 4.967

  2 in total

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