INTEGRATED EXPERIMENTAL DESIGN AND PARAMETER OPTIMIZATION UNDER UNCERTAIN PROCESS CIRCUMSTANCES

Zsolt János Viharos, Krisztián Balázs Kis

Abstract

This paper presents an integrated experimental design and optimization methodology and its application in non-conventional machining process optimization. The introduced technique incorporates an efficient experimental settings generation module, a model building module based on the performed experiments and an optimization module using the built model. The application results show that the presented method is robust and is able to find optimal machining parameter values under uncertain process circumstances.

Keywords

non-conventional machining, experimental design, process optimization

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IMEKO-WC-2015-TC10-246.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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