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article · Kufa Journal of Engineering

APPLICATION OF INTEGRATED TAGUCHI METHOD AND PRESENT-WORTH METHOD TO OPTIMIZE THE TURNING PARAMETERS OF INCONEL X750 ALLOY WITH AL2O3 NANOFLUID IN COCONUT OIL

2023Open accessOsun State University

Abstract

A previous study has shown the successful application of the Taguchi method in both the direct and indirect perspectives to compute the optimal parameters during the turning of Inconel x-750 alloy. The study deployed signal-to-noise ratios to minimize the output of surface roughness, tool wear and cutting force but the machining economic parameters were not mentioned. Yet, the techno-economic dimension of machining aids profitable adjustments of the turning operations. To correct this deficiency, the present article introduces a techno-economic dimension to the turning process using literature data. This paper is about combining three variants of the Taguchi methods in five distinct formulations. The Taguchi, Taguchi-Pareto and Taguchi-ABC methods are combined with the present worth method by introducing the interest rate and inflationary rate at different points in the S/N ratio (SNR) calculations. Aspect ratios and direct parameter combinations replace the traditional direct parameter analysis in the factor-level framework. The present worth, optimal parametric setting and performance flow analysis are needed for all five formulations to ascertain the direction of performance analysis for the turning process. Concerning the direct and aspect ratios, the cutting velocity (PWV, 949.1444) and the feed rate-cutting velocity ratio (PWF/V, 0.026) are the first and last positions, respectively. Regarding the Taguchi experimental run, the present worth of the feed rate-cutting velocity ratio (PWF/V, -155.403) was the first position while the present worth of the cutting velocity (PWV, -185.009) is the last position. Results for other formulations show promising attributes for the methods. The work could be useful for planning purposes in turning operations.

Research topics

  • Advanced machining processes and optimization
  • Advanced Machining and Optimization Techniques
  • Advanced Surface Polishing Techniques

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DOI: 10.30572/2018/kje/140206

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