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.

Featured Image

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)


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

Read the Original

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.
You can read the full text:




The following have contributed to this page