Design of experiment's application in the optimization of milling process

Metalurgija

Volumn 49, Issue 2, 2010, Pages 123-126

  Bajic D ^a   Jozic S ^a   Podrug, S ^a  

^a UNIVERSITY OF SPLIT   (Croatia)

Author keywords

Design of experiments; Face milling; Regression analysis; Surface roughness; Taguchi method

Indexed keywords

CUTTING PARAMETERS; FACE MILLING; MILLING PROCESS; MINIMAL VALUE; OPTIMAL LEVEL; ORTHOGONAL ARRAY; RESPONSE SURFACE METHOD; SYSTEM OF EQUATIONS; WORK PIECES;

DESIGN OF EXPERIMENTS; MILLING (MACHINING); OPTIMIZATION; REGRESSION ANALYSIS; SIGNAL TO NOISE RATIO; STATISTICS; SURFACE PROPERTIES; SURFACE ROUGHNESS; TAGUCHI METHODS;

METAL ANALYSIS;

EID: 72749113946     PISSN: 05435846     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. D. Bajić, B. Lela, D. Živković, Modeling of machined surface roughness and optimization of cutting parameters in face milling, Metallurgy 47(2008) 4, 331-334.
2. J. Z. Zhang, J. C. Chen, J. D. Kirby, Surface roughness optimization in an end-milling operation using Taguchi design method, Journal of Material Processing Technology, 184(2007), 233-239.
3. T. Ozel, Y. Karpat, Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks, International Journal of Machine Tool and Manufacture 45(2005), 467-479.
4. D. Bajić, 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 ve-stnik, Journal of mechanical Engineering 54(2008) 5, 322-333.
5. K. Yang, B. El-Haik, Design for six sigma: A roadmap to product development, The McGraw-Hill Companies, New York, 2003., 437-469.