A study of wire tool surface topography and optimization of wire electro-spark machined UNS N06690 using the federated mode of RSM-ANN
International Journal of Structural Integrity
ISSN: 1757-9864
Article publication date: 10 December 2021
Issue publication date: 9 March 2022
Abstract
Purpose
The purpose of this study is to examine the postprocessed wire tool surface using scanning electron microscopy and find out the streamlined conditions of input process variables using multi-objective optimization techniques to get minimum wire wear values.
Design/methodology/approach
A federated mode of response surface methodology (RSM) and artificial neural network (ANN) is used to optimize the process variables during the machining of a nickel-based superalloy.
Findings
The study explores that with the rise in spark-off time and spark gap voltage, the rate of wire tool consumption also escalates.
Originality/value
Most of the researchers used the RSM technique for the optimization of process variables. The RSM generates a second-order regression model during the modeling and optimization of a manufacturing process whose major limitation is to fit the collected data to a second-order polynomial. The leading edge of ANN on the RSM is that it has comprehensive approximation capability, i.e. it can approximate virtually all types of nonlinear functions, including quadratic functions also.
Keywords
Citation
Raj, A., Misra, J.P., Khanduja, D. and Upadhyay, V. (2022), "A study of wire tool surface topography and optimization of wire electro-spark machined UNS N06690 using the federated mode of RSM-ANN", International Journal of Structural Integrity, Vol. 13 No. 2, pp. 212-225. https://doi.org/10.1108/IJSI-09-2021-0101
Publisher
:Emerald Publishing Limited
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