The optimization of the surface roughness in the process of tangential turn-milling using genetic algorithm

  • Vedat Savas
  • Cetin Ozay


Turn-milling is a relatively new process in manufacturing technology, where both the workpiece and the tool are given a rotary movement simultaneously. This paper presents an approach for optimization of cutting parameters at cylindrical workpieces leading to minimum surface roughness by using genetic algorithm in the tangential turn-milling process. During testing, the effects of the cutting parameters on the surface roughness were investigated. Additionally, by using genetic algorithms for each of the cutting parameters (depth of cut, workpiece speed, tool speed and feed rate) minimum surface roughness for the process of tangential turn-milling was determined according to the cutting parameters.


Tangential turn-milling Genetic algorithm Surface roughness 


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  1. 1.
    Schulz H, Lehmann T (1990) Krafte und antriebsleistungen beim orthogonalen drehfrasen (Forces and drive powers in orthogonal turn-milling). Werkstatt Betr 123(12):921–924Google Scholar
  2. 2.
    Ramaswamy N, Koeningsberger (1968) Experiments with Self-propelled rotary cutting tools. Proc. of 9th IMTDR conference, Part 2, pp 945–959Google Scholar
  3. 3.
    Venuvinod PK, Barrow G (1972) Recent progess in machining with rotary tools, Proceeding of Fifty AIMTDR Conference, University of Roorkee, India, April 10–12, p 173–181Google Scholar
  4. 4.
    Armarego EJA, Karri V, Smith AJR (1994) Fundamental studies of driven and self-propelled rotary tool cutting process-I theoretical investigation. Int J Mach Tools Manuf 34(6):803–815CrossRefGoogle Scholar
  5. 5.
    Chen P, Hoshi T (1992) High performance machining of SiC whisker-reinforced aluminium composite by self-propelled rotary tools. Annals of CIRP 41:59–62CrossRefGoogle Scholar
  6. 6.
    Joshi SS, Ramakrishnan N, Nagarwalla HE, Ramakrishnan P (1999) Wear of rotary carbide tools in machining of Al/SiCp composites. Wear 230:124–132CrossRefGoogle Scholar
  7. 7.
    Lei S, Liu W (2002) High-speed machining of titanium alloys using the driven rotary tool. Int J Mach Tools Manuf 42:653–661CrossRefGoogle Scholar
  8. 8.
    Kopac J, Pogacnik M (1997) Theory and practice of achieving quality surface in turn milling. Int J Mach Tools Manuf 37(5):709–715CrossRefGoogle Scholar
  9. 9.
    Choudhury SK, Mangrulkar KS (2000) Investigation of orthogonal turn-milling for the machining of rotationally symmetrical work pieces. J Mater Process Technol 99:120–128CrossRefGoogle Scholar
  10. 10.
    Bouzid W (2005) Cutting parameter optimization to minimize production time in high speed turning. J Mater Process Technol 161:388–395CrossRefGoogle Scholar
  11. 11.
    Tandon V, El-Mounayri H, Kishawy H (2002) NC end milling optimization using evolutionary computation. Int J Mach Tools Manuf 42:595–605CrossRefGoogle Scholar
  12. 12.
    Oktem H, Erzurumlu T, Erzincanli F (2005) Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm. Mater Des (in press)Google Scholar
  13. 13.
    Niana CY, Yangb WH, Tarngb YS (1999) Optimization of turning operations with multiple performance characteristics. J Mater Process Technol 95:90–96CrossRefGoogle Scholar
  14. 14.
    Holland JH (1975) Adaptation in natural and artificial systems. MIT press, pp 9–16Google Scholar

Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  1. 1.Faculty of Technical Education, Department of Machine EducationUniversity of FýratElazýðTurkey

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