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Optimization of Input Control Variables in Electric Discharge Machining of Inconel-718

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Abstract

With rising requests of ongoing building items, the controlling of surface texture alongside dimensional exactness turns out to be increasingly indispensable. It has been analyzed that the working of the machined components and properties, for example, appearance, resistivity against fatigue/wear/corrosion, grease, introductory resistance, capacity to hold weight, load conveying limit, and commotion decrease (if there should arise an occurrence of apparatuses), are largely extraordinarily impacted by surface texture. The anomalies superficially as variety in stature and spacing are termed as surface roughness usually. It is always very strenuous and costly to control this in manufacturing, no matter what process is employed. Thus, accuracy in dimension and surface roughness is one of the main factors required to consider machining variables of any machining operation. In this paper, a research is being conducted to obtain optimal settings of the various levels of the input control variables in the machining of Inconel-718 by electric discharge machining (EDM), for achieving minimum roughness of the machined surface (SR).

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Correspondence to Rahul Davis .

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Davis, R. et al. (2020). Optimization of Input Control Variables in Electric Discharge Machining of Inconel-718. In: Deepak, B., Parhi, D., Jena, P. (eds) Innovative Product Design and Intelligent Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2696-1_53

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  • DOI: https://doi.org/10.1007/978-981-15-2696-1_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2695-4

  • Online ISBN: 978-981-15-2696-1

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