Application of TOPSIS Approach for Optimization on Additive Manufacturing (Fusion Deposition Modeling) of TPU Material: A Systematic Approach for Process Enhancement

Additive Manufacturing (AM), specifically Fusion Deposition Modeling (FDM), has transformed the manufacturing industry by allowing the creation of complex structures using a wide range of materials. The objective of this study is to enhance the FDM process for Thermoplastic Polyurethane (TPU) material by utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) optimization method. The study examines the influence of FDM parameters, such as layer height, nozzle temperature, and infill density, on important characteristics of the printing process, such as tensile strength, flexibility, and surface finish. The collection of experimental data is achieved by conducting systematic FDM printing trials that cover a variety of parameter combinations. The TOPSIS optimization method is utilized to determine the optimal parameter settings by evaluating each parameter combination against the ideal and anti-ideal solutions. This method determines the optimal parameter configuration that maximizes the overall printing quality by considering multiple objectives simultaneously. The effectiveness of the TOPSIS-optimized FDM process is assessed using statistical analysis and compared to the baseline outcomes. The proposed TOPSIS optimization method offers a valuable tool for optimizing the AM process. It allows manufacturers to enhance productivity and product quality while minimizing production costs. This study enhances the comprehension of Fused Deposition Modeling (FDM) techniques using Thermoplastic Polyurethane (TPU) material and provides valuable knowledge for improving Additive Manufacturing (AM) operations in different industrial sectors.