Comparative performance analysis and modeling of tool wear in drilling

• Autorzy: Wen C. C. , Soon L. T. , Sivarao
• Konferencja: Third International Tribology Conference ITC 2004
• Języki publikacji: EN

Abstrakty

EN

To date, process supervision or monitoring is mainly performed by limit value checking of some measurable variables. In high automated machine tool faults like tool breakage often cause long outage times and high cost. Drill holes are one of the most common manufacturing features specified on process plans. Because holes are drilled in finished products, the rejection parts due to poor hole quality can be very expensive. It was estimated that 60% of all parts rejections due to poor hole quality. On the other hand, a work piece must often be re-machined or completely rejected when the tool has failed. The investigation of this paper deals with comparative quality and performance of twist drills of different make possessing same geometry. The paired comparison is to be carried out by considering thrust force and torque as the main criteria to determine the better tool among tool X and tool Y. Analytical methods namely, statistical analysis and inverse coefficient matrix analysis were used to validate the experimental result.

Słowa kluczowe

EN

tool wear; thrust force; torque; experimental and analytical analysis

PL

zużycie narzędzi; siła napędu; moment obrotowy; analiza eksperymentalna

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mechanics and Engineering
• Rocznik: 2004
• Tom: Vol. 9, no spec.
• Strony: 33--38
• Opis fizyczny: Bibliogr. 8 poz., tab., wykr.

Twórcy

autor

Wen C. C.

• Faculty of Engineering and Technology, Multimedia University, Malacca, MALAYSIA

autor

Soon L. T.

• Faculty of Engineering and Technology, Multimedia University, Malacca, MALAYSIA

autor

Sivarao

• Faculty of Engineering and Technology, Multimedia University, Malacca, MALAYSIA

Bibliografia

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• [4] Margo E.A. (1978): Torque and thrust prediction in drilling from a cutting mechanics approach. - International Journal of Production Research, pp.44-50.
• [5] Montgomery D.C. (2001): Design and Analysis of Experiments. - John Wiley and Sons, Inc (5th Ed.) pp.358-398.
• [6] Subramanian K. and Cook N.H. (1977): Sensing of drill wear and prediction of drill life. - ASME Journal of Engineering for Industry, vol.99, pp.295-301.
• [7] Thangraj A. and Wright P.K. (1998): Drill wear monitoring. - ASME Journal of Engineering Industry, vol. 110, pp.295-301.
• [8] Yong S.Y. (1993): Knowledge based diagnosis of drill conditions. - Journal of Intelligent Manufacturing, vol.14, pp.233-241.