Taguchi Grey Scale Optimization of FDM Process Parameters for Reducing Printing Cost by Using Doe Software

Authors- Mr. P. Ram Prasad, Pitchuka Pavan, Sai Varma Konduri, Madhavarapu Vijay Kumar, Abbireddy Veera Prabhas

Abstract-Fused Deposition Modeling (FDM) is a widely used additive manufacturing process due to its cost-effectiveness and versatility. However, optimizing process parameters is essential to achieve a balance between printing cost, time, and part strength. This study employs Taguchi Grey Scale Optimization (TGSO) to optimize key FDM parameters—orientation, layer thickness, and printing speed—using DOE software to minimize printing cost while maintaining structural integrity. The Taguchi method was used to design experiments with multiple parameter variations, analyzing their influence on printing time and mechanical strength. Grey relational analysis (GRA) was then applied to evaluate multiple performance characteristics and determine the optimal settings. Orientation affects material usage and support requirements, layer thickness influences surface finish and strength, and printing speed directly impacts manufacturing efficiency and cost. Experimental results indicate that optimized process parameters significantly reduce printing time and material consumption while preserving part strength. The Grey Taguchi method proved effective in identifying the most cost-efficient parameter combination, offering a structured approach to multi-objective optimization in FDM. This study highlights the importance of process parameter optimization in reducing operational costs and enhancing FDM efficiency. The findings serve as a valuable guideline for manufacturers and researchers seeking to improve the economic and mechanical performance of 3D-printed components while ensuring sustainability and resource efficiency in additive manufacturing.

DOI: /10.61463/ijset.vol.13.issue2.252