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What is Process Response

Data-Driven Optimization of Manufacturing Processes
The measured output (i.e., dependent variable) of a process is known as its response. Example—material removal rate, surface roughness, etc.
Published in Chapter:
Parametric Optimization of Electrochemical Discharge Machining Using Particle Swarm Optimization Algorithm
Arindam Debroy (Indian Institute of Technology, Kharagpur, India)
Copyright: © 2021 |Pages: 15
DOI: 10.4018/978-1-7998-7206-1.ch012
Abstract
It is very important to select the optimal parametric values for various non-traditional machining processes (NTM) for improving their performance. The performance measures of NTM processes include material removal rate (MRR), radial overcut (ROC), heat affected zone (HAZ), etc. In this chapter, particle swarm optimization has been used to find out the optimal parametric settings for electrochemical discharge machining (ECDM) to improve its performance measure. Both single-objective as well as multi-objective optimization has been performed and the results have been compared with those obtained by other researchers.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Optimization of Surface Roughness in Centreless Grinding Process Based on Taguchi Method
The measured output which is dependent on the process is known as its response. In this study, surface roughness is considered as process response.
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Data-Driven Genetic Programming-Based Symbolic Regression Metamodels for EDM Process
The measured output (i.e., dependent variable) of a process is known as its response. Example—material removal rate, surface roughness, etc.
Full Text Chapter Download: US $37.50 Add to Cart
Machine Learning-Based Predictive Modelling of Dry Electric Discharge Machining Process
The measured output (i.e., dependent variable) of a process is known as its response. Example—material removal rate, surface roughness, etc.
Full Text Chapter Download: US $37.50 Add to Cart
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