What is it about?
Research is focused to examine the influences of processing grinding conditions on ground responses. optimization techniques cush as response surface methodology (RSM and multi-objective genetic algorithm (GA) was used to predict the machining measures.
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Why is it important?
in this work, one can found novelty of study and optimization of cylindrical grinding process using hybrid optimization approach (RSM and Multi-objective GA)
Perspectives
In this research work, novel optimization approach integrated RSM and multi-objective Genetic algorithm is utilized to analyze, model and predict the process grinding parameters in cylindrical grinding of stainless steel job
Dr. Ramesh Rudrapati
Hawassa University
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This page is a summary of: Modeling and optimization of machining parameters in cylindrical grinding process, The International Journal of Advanced Manufacturing Technology, July 2015, Springer Science + Business Media,
DOI: 10.1007/s00170-015-7500-9.
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