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Information Journal Paper

Title

MACHINING PARAMETERS OPTIMIZATION OF SELF-ROTATING TURING TOOLS VIA TAGUCHI METHOD

Pages

  19-26

Abstract

 At this study, after designing and manufacturing a ROTARY TOOL, its machining parameters and their effects on surface roughness of aluminum alloy of Al99 which is one of the most consumable alloys in aerospace industry, is studied and optimized. First, the ROTARY TOOL is designed and manufactred. Then according to TAGUCHI METHOD, the experiments have been designed to record surface roughness, machining temperature and exerted forces on the tool. In order to evaluate optimum condition of the experiment results, MINITAB and GENETIC PROGRAMMING (GP) have been implemented to obtain the best regression; then for obtaining the optimum condition of machining, the results of running GENETIC PROGRAMMING has been used. In the end optimum machining parameters to achieve the best surface quality is presented.

Cites

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  • Cite

    APA: Copy

    ESMAEILI MALEKABADI, HOSSEIN, AHMAD, AFSARI, & SARAEIAN, PAYAM. (2008). MACHINING PARAMETERS OPTIMIZATION OF SELF-ROTATING TURING TOOLS VIA TAGUCHI METHOD. INTERNATIONAL JOURNAL OF ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY, 1(3 (3)), 19-26. SID. https://sid.ir/paper/172343/en

    Vancouver: Copy

    ESMAEILI MALEKABADI HOSSEIN, AHMAD AFSARI, SARAEIAN PAYAM. MACHINING PARAMETERS OPTIMIZATION OF SELF-ROTATING TURING TOOLS VIA TAGUCHI METHOD. INTERNATIONAL JOURNAL OF ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY[Internet]. 2008;1(3 (3)):19-26. Available from: https://sid.ir/paper/172343/en

    IEEE: Copy

    HOSSEIN ESMAEILI MALEKABADI, AFSARI AHMAD, and PAYAM SARAEIAN, “MACHINING PARAMETERS OPTIMIZATION OF SELF-ROTATING TURING TOOLS VIA TAGUCHI METHOD,” INTERNATIONAL JOURNAL OF ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY, vol. 1, no. 3 (3), pp. 19–26, 2008, [Online]. Available: https://sid.ir/paper/172343/en

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