Optimization of PLA 3D Printing Parameters using a Combined SMART-MOORA Multi-Criteria Decision-Making Approach
Received: 24 September 2024 | Revised: 16 November 2024 | Accepted: 20 November 2024 | Online: 2 February 2025
Corresponding author: Van-Canh Nguyen
Abstract
This paper presents an optimization study of 3D printing parameters for Polylactic Acid (PLA) using a combined SMART-MOORA multi-criteria decision-making approach. The research focused on three key performance characteristics: tensile strength, strain, and modulus. By employing the Taguchi L27 orthogonal array, the authors conducted 27 experimental trials, varying the printing temperature, print speed, layer height, and bed temperature. The Simple Multi-Attribute Rating Technique (SMART) method was utilized to assign weights to the criteria, emphasizing tensile strength due to its significance in structural applications. Subsequently, the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method was applied to rank the experiments based on the weighted criteria. The findings demonstrated that experiments with high tensile strength and strain values were ranked the highest, underscoring the importance of balancing strength and flexibility in optimizing 3D-printed parts. The sensitivity analysis confirmed the robustness of the optimization results, as the rankings remained stable even when the importance of the criteria was adjusted. This study showcases the effectiveness of the SMART-MOORA approach in optimizing 3D printing parameters, providing a framework to enhance the mechanical performance of PLA parts.
Keywords:
PLA 3d printing, smart-MOORA, optimization, sensitivity analysisDownloads
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Copyright (c) 2024 Pham Ngoc Linh, Ngo Quang Tu, Van-Canh Nguyen, Viet-Thanh Pham
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