Kayaroganam Palanikumar (ed.) Response Surface Methodology in Engineering Science

ITexLi, 2021. — 246 p. — ISBN 183968917X 9781839689178 1839689196 9781839689192.This book presents modern applications of Response Surface Methodology (RSM) in engineering science.
Chapters discuss such topics as machine learning models of RSM as well as potential applications of RSM in industries such as pharmaceuticals, agriculture, textiles, and food, among others.Response Surface Methodology in Engineering Science
Introducing Machine Learning Models to Response Surface Methodologies
Global Optimization Method to Multiple Local Optimals with the Surface Approximation Methodology and Its Application for Industry Problems
Response Surface Designs Robust against Nuisance Factors
Central Composite Design for Response Surface Methodology and Its Application in Pharmacy
Response Surface Methodology Optimization in Asphalt Mixtures: A Review
Application of Response Surface Method for Analyzing Pavement Performance
Selection of Optimal Processing Condition during Removal of Methylene Blue Dye Using Treated Betel Nut Fibre Implementing Desirability Based RSM Approach
Uses of the Response Surface Methodology for the Optimization of Agro-Industrial Processes
In Search of Optimal Laser Settings for Lithotripsy by Numerical Response Surfaces of Ablation and Retropulsion
Response Surface Methodology Applied to the Optimization of Phenolic Compound Extraction from Brassica
Practicing Response Surface Designs in Textile Engineering: Yarn Breaking Strength Exercise
Application of Response Surface Methodology in Food Process Modeling and Optimization