Optimization of electrochemical machining process parameters: Combining response surface methodology and differential evolution algorithm
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optimization of electrochemical machining process parameters: Combining response surface methodology and differential evolution algorithm
Authors
Keywords
-
Journal
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
Volume 231, Issue 6, Pages 1114-1126
Publisher
SAGE Publications
Online
2016-06-29
DOI
10.1177/0954408916656387
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimization of modern machining processes using advanced optimization techniques: a review
- (2014) R. Venkata Rao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Modelling of ECM and EDM processes
- (2013) S. Hinduja et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Recent developments and research challenges in electrochemical micromachining (µECM)
- (2013) Alexandre Spieser et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Experimental investigation on the electrochemical machining of 00Cr12Ni9Mo4Cu2 material and multi-objective parameters optimization
- (2013) L. Tang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations
- (2012) Ali R. Yildiz APPLIED SOFT COMPUTING
- Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)
- (2012) Norfadzlan Yusup et al. EXPERT SYSTEMS WITH APPLICATIONS
- Selection of the optimal electrochemical machining process parameters using biogeography-based optimization algorithm
- (2012) Rajarshi Mukherjee et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm
- (2011) Suman Samanta et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Investigation into Electrochemical Micromachining Process during Micro-Channel Generation
- (2011) M. Malapati et al. MATERIALS AND MANUFACTURING PROCESSES
- Parametric optimization of electrochemical machining of Al/15% SiCp composites using NSGA-II
- (2011) C. SENTHILKUMAR et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- Improved differential evolution approach for optimization of surface grinding process
- (2010) Kuo-Ming Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- An integrated framework of statistical process control and design of experiments for optimizing wire electrochemical turning process
- (2010) Salah Haridy et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Dynamic optimization of a multi-stage spherical, radial flow reactor for the naphtha reforming process in the presence of catalyst deactivation using differential evolution (DE) method
- (2010) Mohammad Reza Rahimpour et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Bi-performance optimization of electrochemical machining characteristics of Al/20%SiCp composites using NSGA-II
- (2010) C Senthilkumar et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Modelling and predicting surface roughness in turning operations using hybrid differential evolution and the group method of data handling networks
- (2008) G C Onwubolu PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
- Multi-objective optimization of electrochemical machining process parameters using a particle swarm optimization algorithm
- (2008) R V Rao et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now