Burr Dimension Analysis on Various Materials for Convenantionally and CNC Drilled Holes

• Autorzy: Kumar, B. S. , Vijayan, V. , Baskar, N.
• Języki publikacji: EN

Abstrakty

EN

This work reveals the burr dimensions at entry and exit of the drilled holes on copper, brass and stainless steel. Furthermore, the effect of spindle speed and feed rate on the burr dimensions are considered and reported. Burr size minimization is one of the key problems in drilling operation. The main aim of this research is evaluated the burr dimesion occurrences of drilling on conventionally drilled holes and CNC drilled holes. The burrs produced by conventional machine and CNC machine were compared and presented.

Słowa kluczowe

PL

stal nierdzewna; miedź; wiercenia

EN

drilling operations; burr dimension; copper; brass; stainless steel

• Czasopismo: Mechanics and Mechanical Engineering
• Rocznik: 2016
• Tom: Vol. 20, nr 3
• Strony: 347--354
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Kumar, B. S.

• Department of Mechanical Engineering K. Ramakrishnan College of Technology Tiruchirapalli, Tamilnadu,

autor

Vijayan, V.

• Department of Mechanical Engineering K. Ramakrishnan College of Technology Tiruchirapalli, Tamilnadu,

autor

Baskar, N.

• Department of Mechanical Engineering Saranathan College of Engineering Tiruchirapalli, Tamilnadu,

Bibliografia

• [1] Heisel, U. and Schaal, M.: Burr formation in short hole drilling with minimum quantity lubrication, Prod. Eng. Res. Devel., 3, 157–163, 2009.
• [2] Lin, T. R.: Cutting Behaviour Using Variable Feed and Variable Speed when Drilling Stainless Steel with TiN-Coated Carbide Drills, Int. J. Adv. Manuf. Technol., 19, 629–636, 2002.
• [3] Kilickap, E.: Modeling and optimization of burr height in drilling of Al-7075 using Taguchi method and response surface methodology, Int. J. Adv. Manuf. Technol., 49, 911–923, 2010.
• [4] Kim, J., Min, S. and Dornfeld, D. A.: Optimization and control of drilling burr formation of AISI 304L and AISI 4118 based on drilling burr control charts, International Journal of Machine Tools & Manufacture, 41, 923–936, 2001.
• [5] Karnik, S. R. and Gaitonde, V. N.: Development of artificial neural network models to study the effect of process parameters on burr size in drilling", Int. J. Adv. Manuf. Technol., 39, 439–453, 2008.
• [6] Karnik,S. R., Gaitonde, V. N. and Davim, J. P.: A comparative study of the ANN and RSM modeling approaches for predicting burr size in drilling, Int. J. Adv. Manuf. Technol., 38, 868–883, 2008.
• [7] Cao, S. L., Chang, J. E. and Kalpakjian, S.: Development of drill geometry for burr minimization in drilling, CIRP Annals - Manufacturing Technology, 52, 45–48, 2003.

Identyfikatory

DOI

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