Multi-Objective Optimization of Low-Velocity Impact and Compression Behavior of 3D-Printed PLA Cubic Samples

Polymers, Journal Year: 2025, Volume and Issue: 17(5), P. 627 - 627

Published: Feb. 26, 2025

This study investigates how various 3D printing parameters influence mechanical properties, specifically strength in compression and low-velocity impact (LVI) tests, identifies the best (layer thickness, nozzle diameter, infill density) that lead to durable samples. Utilizing a Taguchi L9 orthogonal array, systematically examined effects of three critical on cubic test Nine experimental configurations were tested, each subjected LVI tests according ASTM standards. Statistical analyses, including analysis variance (ANOVA) grey relational (GRA), employed evaluate parameter significance optimize results. Infill density significantly influenced while diameter was most impactful tests. Layer thickness had minimal both outcomes. Additionally, applying GRA revealed optimal differ when considering two properties simultaneously, highlighting complexity achieving balanced performance 3D-printed structures. The application method improved printed materials reducing number required experiments. By employing an efficient design, this research demonstrates achieve high-quality results with resource use time investment. integrating for simultaneous optimization multiple characteristics further enhances practical applicability findings additive manufacturing.

Language: Английский

Finite Element Analysis and Determination of Mechanical Properties of a New Modular Hip Joint

Journal of Materials Engineering and Performance, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

A computer vision based real-time warpage monitoring and detection system in fused deposition modeling

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 9, 2024

Language: Английский