Multitasking characteristics of quality products in Additive Manufacturing Technique
Author(s):
M.Naveen Kumar, Manzoor Hussain, Sriram Venkatesh
Keywords:
Additive Manufacturing; Taguchi method; Grey relational analysis; optimization.
Abstract
Additive manufacturing is a fast-growing manufacturing process that allows mechanical objects to be produced at a lower cost and in less time. The goal of this study is to offer a strategy for improving additive manufacturing techniques with multitasking capabilities for high-quality products based on the Taguchi method and Grey relational analysis. Grey relational grade for quality products calculated from grey relational analysis with multitasking characteristics. Taguchi technique uses grey relational grade as a performance metric to estimate the ideal process parameters such as laser power, layer thickness, and temperature at three levels for each factor. This approach optimizes mechanical goods with quality factors such as roundness, concentricity, runout, and surface finish with maximizing and minimization. The experimental results have been enhancing through this approach and total of 9 experiments with repeatability three times that comes to total of 27 experiments were conducted and upshot laser power has the highest influence on quality products, and experiment no. 8 is the optimal value.
Article Details
Unique Paper ID: 159585

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 272 - 278
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