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2023 | OriginalPaper | Buchkapitel

Parametric Optimization of Nanopowder Blended Electrical Spark Machining AISI D3 DIE Steel Employing Grey Relational Analysis

verfasst von : K. Santarao, C. L. V. R. S. V. Prasad, G. Swaminaidu

Erschienen in: Recent Trends in Product Design and Intelligent Manufacturing Systems

Verlag: Springer Nature Singapore

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Abstract

The results obtained after performing multi-criterion optimization for nanopowder blended electrical spark machining of AISI D3 Die steel derived from the Taguchi scheme accompanied by grey relational examination are presented in this research paper. Different sets of experiments planned as per the Taguchi procedure were effectuated by differing four parameters: peak current, pulse on time, spark voltage and powder concentration. Material Subtraction Rate (MSR), Surface Roughness (SR) and Electrode Wear Rate (EWR) are selected as performance assessors. According to the results, peak current and powder concentration affect MSR, EWR and SR. The best combination is 7 A peak current, 50 µs pulse on time, 100 V gap voltage and 0.5 g/L powder concentration. The affirmation test, which was used to authenticate the Grey Relational Analysis result, demonstrated an acceptable improvement in the responses.

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Titel: Parametric Optimization of Nanopowder Blended Electrical Spark Machining AISI D3 DIE Steel Employing Grey Relational Analysis
verfasst von: K. Santarao
C. L. V. R. S. V. Prasad
G. Swaminaidu
Verlag: Springer Nature Singapore
Buch: Recent Trends in Product Design and Intelligent Manufacturing Systems
Print ISBN: 978-981-19-4605-9

Electronic ISBN: 978-981-19-4606-6

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-19-4606-6_61

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