Parametric Optimization for Dimensional Accuracy and Surface Roughness in Additive Manufactured Novel Acetabular Liner using Two Different Techniques
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Abstract
Fused Filament Fabrication (FFF), also known as Fused Deposition Modeling (FDM), is a widely utilized additive manufacturing technique. By fine-tuning process parameters, improvements in product quality can be achieved. This study investigates optimizing parameters: print speed, layer height, and infill density in fabricating acetabular liners, a component of hip implants using FFF. Four decision-making methods namely the Analytic Hierarchy Process (AHP) combined with Technique for Order of Preference by Similarity to Ideal Solution (AHP-TOPSIS), Entropy Weight Method (EWM)-TOPSIS, AHP-Multi-Objective Optimization on the basis of Ratio Analysis (MOORA), and EWM-MOORA) are compared to identify the most suitable parameter settings. Observations from Experiments are used in each method. The research evaluates these methods to determine the optimal FFF parameters and the results will help to improve the 3D Printing process through informed parameter selection.
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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