Rotatable central composite design of experiments versus Taguchi method in the optimization of turning

Metalurgija

Volumn 50, Issue 1, 2011, Pages 17-20

  Cukor, G ^a   Jurkovic Z ^a   Sekulic M ^b  

^a UNIVERSITY OF RIJEKA   (Croatia)

^b UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Cutting force; Longitudinal turning; Rotatable central composite design of experiments; Taguchi method

Indexed keywords

CENTRAL COMPOSITE DESIGNS; CUTTING FORCES; CUTTING PARAMETERS; CUTTING SPEED; DEPTH OF CUT; EXPERIMENTAL PLANS; LONGITUDINAL TURNING; OPTIMAL LEVEL; OPTIMISATIONS; ORTHOGONAL ARRAY; ROTATABLE CENTRAL COMPOSITE DESIGN OF EXPERIMENTS; TAGUCHI; TANGENTIAL COMPONENTS;

DESIGN OF EXPERIMENTS; OPTIMIZATION; SIGNAL TO NOISE RATIO;

TAGUCHI METHODS;

EID: 78651317606     PISSN: 05435846     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. H. El-Hofy, Machining Processes: Conventional and Nonconventional Processes, CRC Press, Taylor&Francis, Boca Raton, 2007
2. D. Bajic, B. Lela, G. Cukor, Examination and Modeling of the Influence of Cutting Parameters on the Cutting Force and the Surface Roughness in Longitudinal Turning, Strojniški vestnik, Journal of Mechanical Engineering, 54 (2008) 5, 322-333
3. Z. Jurkovic, Modelling and Optimization of the Cutting Parameters Using Evolutionary Algorithms at the Intelligent Machining Systems, PhD Thesis, University of Rijeka, 2007
4. D. Montgomery, Design and Analysis of Experiments, 5th Edition, John Wiley & Sons, Inc., New York, 2003
5. M. Jurkovic, Mathematical Modelling and Optimization of Machining Processes, Faculty of Engineering, University of Rijeka, 1999
6. G. Cukor, E. Kuljanic, CAPP Software for Tool Selection, Optimization and Tool Life Data Base Adaptation in Turning, Advanced Manufacturing Systems and Technology, CISM Courses and Lectures No. 406, Elso Kuljanic (Ed.), Springer Verlag, Wien New York, 1999, 241-248
7. R.K. Roy, Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement, Wiley-Interscience, New York, 2001
8. M. Brezocnik, M. Kovacic, Integrated Genetic Programming and Genetic Algorithm Approach to Predict Surface Roughness, Materials and Maufacturing Processes, 18 (2003) 3, 475-491
9. F. Cus, U. Zuperl, V. Gecevska, Simulation of Complex Machining Process by Adaptive Network Based Inference System, Proceedings of the 11th International Conference of Production Engineering CIM 2007, E. Abele, T. Udiljak, D. Ciglar (Ed.), HUPS, Zagreb, 2007, 156-160
10. V. Gecevska, F. Cus, M. Kuzinovski, U. Zuperl, Cutting Tool Wear Modeling Approach by Evolutionary Computing, Proceedings of the Conference MSD-IE 2005 - Manufacturing Systems Development - Industry Expectations, Poland, 2005, 22-30
11. D. Bajic, S. Jozic, S. Podrug, Design of Experiment's Application in the Optimization of Milling Process, Metalurgija, 49 (2010) 2, 123-126