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Keyword

cutting parameters

Description: Cutting parameters are the operating settings that govern a material-removal process, including variables such as cutting speed, feed, and depth of cut.
OpenAlex ID: keywords/cutting-parameters
Machining induced surface integrity in titanium and nickel alloys: A review
2010 · Durul Ulutan, Tugrul Ozel · International Journal of Machine Tools and Manufacture · 1,257
Key improvements in the machining of difficult-to-cut aerospace superalloys
2005 · E.O. Ezugwu · International Journal of Machine Tools and Manufacture · 943
Dry Machining and Minimum Quantity Lubrication
2004 · K. Weinert, I. Inasaki, et al. · CIRP Annals · 923
Machining of Composite Materials
2002 · R. Teti · CIRP Annals · 740
Error compensation in machine tools — a review
2000 · R Ramesh, M.A Mannan, et al. · International Journal of Machine Tools and Manufacture · 709
State-of-the-art in surface integrity in machining of nickel-based super alloys
2015 · A. Thakur, S. Gangopadhyay · International Journal of Machine Tools and Manufacture · 698
Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
2004 · Tuğrul Özel, Yiğit Karpat · International Journal of Machine Tools and Manufacture · 698
A novel approach based on digital image analysis to evaluate the delamination factor after drilling composite laminates
2006 · J DAVIM, J RUBIO, et al. · Composites Science and Technology · 551
A study on energy efficiency improvement for machine tools
2011 · M. Mori, M. Fujishima, et al. · CIRP Annals · 500
Virtual Machine Tool
2005 · Y. Altintas, C. Brecher, et al. · CIRP Annals · 482
Study of delamination in drilling carbon fiber reinforced plastics (CFRP) using design experiments
2003 · J.P Davim, Pedro Reis · Composite Structures · 471
Machining of Fibre Reinforced Plastics
1985 · W. König, Ch. Wulf, et al. · CIRP Annals · 467
Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
2002 · P.G Benardos, G.C Vosniakos · Robotics and Computer-Integrated Manufacturing · 455
Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method
2011 · İlhan Asiltürk, Harun Akkuş · Measurement · 450
Investigation of mechanical and machinability properties of SiC particle reinforced Al-MMC
2007 · Tamer Ozben, Erol Kilickap, et al. · Journal of Materials Processing Technology · 442
Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel
2008 · D.I. Lalwani, N.K. Mehta, et al. · Journal of Materials Processing Technology · 397
Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
2010 · İlhan Asiltürk, Mehmet Çunkaş · Expert Systems with Applications · 391
Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-up
2003 · J.Paulo Davim, Pedro Reis, et al. · Composites Science and Technology · 388
The machinability of inconel 718
1997 · M. Rahman, W.K.H. Seah, et al. · Journal of Materials Processing Technology · 385
A review of surface roughness generation in ultra-precision machining
2015 · S.J. Zhang, S. To, et al. · International Journal of Machine Tools and Manufacture · 375
Application of response surface methodology in the optimization of cutting conditions for surface roughness
2005 · H. Öktem, T. Erzurumlu, et al. · Journal of Materials Processing Technology · 373
Taguchi analysis of delamination associated with various drill bits in drilling of composite material
2004 · C.C Tsao, H Hocheng · International Journal of Machine Tools and Manufacture · 368
Surface roughness prediction based on cutting parameters and tool vibrations in turning operations
2001 · O.B. Abouelatta, J. Mádl · Journal of Materials Processing Technology · 359
Drilling carbon fiber reinforced plastics manufactured by autoclave—experimental and statistical study
2003 · J.Paulo Davim, Pedro Reis · Materials & Design (1980-2015) · 354
Gaussian process regression for tool wear prediction
2017 · Dongdong Kong, Yongjie Chen, et al. · Mechanical Systems and Signal Processing · 344
Works count: 20,880
Citation count: 177,500
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