Open Access
Manufacturing Rev.
Volume 2, 2015
Article Number 30
Number of page(s) 11
Published online 12 January 2016
  1. U.C. Okonkwo, C.O. Osueke, C.A.K. Ezugwu, Minimizing machining time in pocket milling based on optimal combination of the three basic prescription parameters, International Research Journal of Innovative Engineering 1 (2015) 12–34.
  2. T. Matsubara, H. Yamamoto, H. Mizumoto, Study on accuracy in end mill operations, Bulletin of the Japan Society of Precision Engineering 21 (1987) 95–100.
  3. E. Budak, Y. Altintas, Peripheral milling conditions for improved dimensional accuracy, International Journal of Machine Tools & Manufacture 34 (1994) 907–918. [CrossRef]
  4. T. Insperger, J. Gradišek, M. Kalveram, G. Stépán, E. Govekar, Machine tool chatter and surface location error in milling processes, Journal of Manufacturing Science and Engineering 128 (2006) 913. [CrossRef]
  5. M. Field, J.F. Kahles, W.P. Koster, Surface Finish and Surface Integrity, ASM Handbook, vol. 16, Machining, 9th edn., ASM Publication, ASM, Metal Park, Ohio, 1989.
  6. G. Peigne, H. Paris, D. Brissaud, A. Gouskov, Impact of the cutting dynamics of small radial immersion milling operations on machined surface roughness, International Journal of Machine Tools & Manufacture 44 (2004) 1133–1142. [CrossRef]
  7. H.A. Kishawy, M.E. Dumitrescu, M.A. Elbestawi, Effect of coolant strategy on tool performance chip morphology and surface quality during high-speed machining of A356 aluminum alloy, International Journal of Machine Tools & Manufacture 45 (2005) 219–227. [CrossRef]
  8. A.L. Mantle, D.K. Aspinwall, Surface integrity of a high speed milled gamma titanium aluminide, Journal of Materials Processing Technology 118 (2001) 143–150. [CrossRef]
  9. M.Y. Wang, H.Y. Chang, Experimental study of surface roughness in slot end milling, International Journal of Machine Tools & Manufacture 44 (2004) 51–57. [CrossRef]
  10. Y.H. Tsai, J.C. Chen, S.J. Lou, An in-process surface recognition system based on neural networks in end milling cutting operations, International Journal of Machine Tools & Manufacture 39 (1999) 583–605. [CrossRef]
  11. Y.M. Ertekin, Y. Kwon, T.L. Tseng, Identification of common sensory features for the control of CNC milling operations under varying cutting conditions, International Journal of Machine Tools & Manufacture 43 (2003) 897–904. [CrossRef]
  12. T.L. Ginta, A.K.M. Nurul Amin, H.C.D. Mohd Radzi, M.A. Lajis, Development of surface roughness models in end milling titanium alloy Ti-6Al-4V using uncoated tungsten carbide inserts, European Journal of Scientific Research 28 (2009) 542–551.
  13. R. Arokiadass, K. Palaniradja, N. Alagumoorthi, Predictive modeling of surface roughness in end milling of Al/SiCp metal matrix composite, Archives of Applied Science Research 3 (2011) 228–236.
  14. I.P. Okokpujie, U.C. Okonkwo, Effects of cutting parameters on surface roughness during end milling of aluminium under minimum quantity lubrication (MQL), International Journal of Science and Research 4 (2015) 2937–2942.
  15. L.B. Abhang, M. Hameedullah, Experimental investigation of minimum quantity lubricants in alloy steel turning, International Journal of Engineering Science and Technology 2 (2010) 3045–3053.
  16. N. Tosun, M. Huseyinoglu, Effect of MQL on surface roughness in milling of AA7075-T6, Materials and Manufacturing Processes 25 (2010) 793–798. [CrossRef]
  17. I. Korkut, M.A. Donertas, The influence of feed rate and cutting speed on the cutting forces, surface roughness and tool-chip contact length during face milling, Materials & Design 28 (2007) 308–312. [CrossRef]
  18. A.H. Suhail, N. Ismail, S.V. Wong, N.A. Abdul Jalil, Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process, American Journal of Engineering and Applied Sciences 3 (2010) 102–108. [CrossRef]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.