Optimization of Turning Parameters for Material Removal Rate of EN-36 Alloy Steel by Box Behnken Method under RSM
نویسندگان
چکیده
منابع مشابه
Effect of Cutting Parameters on Tool Wear, Surface Roughness and Material Removal Rate During Dry Turning of EN-31 Steel
ISBN 978-93-82338-21-5 | © 2012 Bonfring Abstract--The present paper is an experimental study to investigate the effect of cutting parameters (cutting speed, depth of cut and feed) on tool wear, surface roughness and material removal rate (MRR) during dry turning of EN-31 steel. Turning experiments were conducted with cutting speeds: 250, 300, 350 m/min, feeds: 0.15, 0.2, 0.25 mm/rev and depth ...
متن کاملOptimization of process parameters for COD removal by Coagulation Treatment using Box–Behnken design
Coagulation treatment of sago wastewater was studied and laboratory studies were carried out using alum as coagulant. Coagulation treatment conditions were optimised through response surface methodology (RSM). Operational parameters namely dosage of alum (Al [email protected]
متن کاملOptimization of Machining Parameters for cutting temperature on turning of Niobium alloy C-103by using RSM
Niobium based super alloys are an unusual class of metallic materials with an exceptional combination of high temperature strength, toughness, and resistance to degradation in corrosive or oxidizing environments. The focus of present work was to study the effect of cutting parameters – speed, feed and depth of cut on the machinability of Niobium C-103 under dry machining condition using respons...
متن کاملOptimization of Selenite Removal by Lactobacillus sp. Tra cheese 6 Using Box-Behnken Design
Background & Aims: High concentrations of selenite have carcinogenetic, cytotoxic and genotoxic effects. Therefore, removal of this toxic pullutant from the environment has a particular importance in maintaining public health. In this study, with the aim of optimization of selenite removal process, the design Box-Behnken method was used to estimate th...
متن کاملStudy of microEDM parameters of Stainless Steel 316L: Material Removal Rate Optimization using Genetic Algorithm
Suresh P, Venkatesan R, Sekar T, Sathiyamoorthy V # Professor, Department of Mechanical Engineering, Sona College of Technology, Salem, Tamil Nadu, India [email protected] [email protected] Associate Professor Department of Mechanical Engineering, Government College of Engineering, Salem, Tamil Nadu, India [email protected] Asst. Professor Department of Mechanical Engineering, Mahendra E...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2020
ISSN: 2321-9653
DOI: 10.22214/ijraset.2020.5317