Precision Enhancement in Tough Polylactic Acid Material Extrusion: A Systematic Response Surface Investigation for Sustainable Manufacturing-Reference-Cited by-同舟云学术

Precision Enhancement in Tough Polylactic Acid Material Extrusion: A Systematic Response Surface Investigation for Sustainable Manufacturing

Published:2024-07-23 Issue:3 Volume:5 Page:
ISSN:2640-642X
Container-title:SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy
language:en
Short-container-title:SAE Int. J. Sust. Trans., Energy, Env., & Policy.

Author:

Moradi Mahmoud¹,Rezayat Mohammad²,Meiabadi Saleh³,Fakhir A. Rasoul⁴,Shamsborhan Mahmoud⁵,Casalino Giuseppe⁶,Karamimoghadam Mojtaba⁶

Affiliation:

1. University of Northampton, UK

2. Universitat Politècnica de Catalunya-BarcelonaTECH, Center for Structural Integrity, Micromechanics, and Reliability of Materials (CIEFMA)-Department of Materials Science and Engineering, Spain Politècnica de Catalunya-BarcelonaTECH, Barcelona Research Center in Multiscale Science and Engineering, Spain

3. École de technologie supérieure, Department of Mechanical Engineering, Canada

4. Al-Kitab University, Department of Air-Conditioning and Refrigeration Technical Engineering, College of Technical Engineering, Iraq

5. University of Zakho, Department of Mechanical Engineering, Iraq

6. Polytechnic University of Bari, Department of Mechanics, Mathematics and Management, Italy

Abstract

<div>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.</div>

Publisher

SAE International

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