Abstract
A multivariate quality loss function approach for parametric optimization of non-traditional machining processes
Highlights
In other to meet the requirements of high dimensional accuracy and low surface roughness of the present day’s manufacturing industries, the conventional machining methods are continuously being substituted by the non-traditional machining (NTM) processes due to their ability to achieve more consistent workpiece quality, higher production efficiency in processing of hard and tough materials, and capability of generating complex shapes
When the multivariate quality loss function approach is adopted for parametric optimization of the considered electrochemical machining (ECM) process, the acceptable range for material removal rate (MRR) is decided to lie between 0.25 g/min and 0.50 g/min
Several mathematical approaches already exist which can determine the optimal settings of the NTM process parameters separately for each of the responses
Summary
In other to meet the requirements of high dimensional accuracy and low surface roughness of the present day’s manufacturing industries, the conventional machining methods are continuously being substituted by the non-traditional machining (NTM) processes due to their ability to achieve more consistent workpiece quality, higher production efficiency in processing of hard and tough materials, and capability of generating complex shapes. These NTM processes usually deploy mechanical, electrical, chemical or thermal energy or their combinations to remove material from the workpiece in the form of atoms/molecules enabling attainment of high degree of surface finish (Pandey & Shan, 1980). It is always recommended to deploy some mathematical tools and techniques that would provide optimal or near optimal settings of the NTM process parameters so as to meet the target response values
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