A New Method for Determining the Chip Geometry in Milling

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Frequently, to validate FEM simulations of the cutting process it is compared the predicted results with the experimental cutting forces. In addition, other parameters are measured and it is possible to predict the chip geometry in some particular conditions. This paper presents a new development of the photogrammetry and its applications in the study of the chip geometry. In the orthogonal milling case, it is possible to obtain a 3D model of the deformed chip employing photogrammetry digitization techniques.

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7-12

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October 2006

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Ernst and M.E. Merchant, Chip Formation, Friction and High Quality Machined Surfaces, Trans. Am. Soc. Met. Vol. 29, pp.299-378 (1941).

Google Scholar

[2] P. Arrazola: Modélisation numérique de la coupe: étude de sensibilité des paramètres d'entrée et identification du frottement entre outil-copeau. Ph.D. Thesis. E.C. Nantes. France. (2003).

Google Scholar

[3] M. San Juan, P. Arrazola, R. Mostaza and J. Montoya: Le contact outil-copeau dans le cas du fraisage orthogonal. 17eme Congrès Française de Mécanique. Troyes. (2005).

Google Scholar

[4] R. Wertheim, and T. Viñas: Development and application of new geometries for high peformance in milling. Int. Seminar on Improving Machine Tool Performance. CIRP. (1998) pp.249-260.

Google Scholar

[5] K.D. Bouzakis, P. Aichouch, and K. Efstathiou: Determination of the chip geometry, cutting force and roughness in free form surfaces finishing milling, with ball end tools. Int. Journal of Machine Tools & Manufacture. Vol. 43. (2003) pp.499-514.

DOI: 10.1016/s0890-6955(02)00265-1

Google Scholar

[6] W.A. Kline and R.E. De Vor: The effect of runout on cutting geometry and forces in end milling. Int. Journal of Machine Tools Design and Research. Vol. 23. Nº 2/3 (1983) pp.123-140.

DOI: 10.1016/0020-7357(83)90012-4

Google Scholar

[7] H.J. Fu, R.E. De Vor and S.G. Kapoor: A mechanistic model for the prediction of the force system in face milling operations. Journal of Engineering for Industry. Vol. 106 (1984) pp.81-88.

DOI: 10.1115/1.3185915

Google Scholar

[8] L. Zheng, and Liang, S.Y.: Identification of cutter axis tilt in end milling. Journal of Manufacturing Science and Engineering. Vol. 119 (1997) pp.178-185.

DOI: 10.1115/1.2831093

Google Scholar

[9] S.A. Spiewak: Analytical modelling of cutting point trajectories in milling. Journal of Engineering for Industry. Vol. 116 (1994) pp.440-448.

DOI: 10.1115/1.2902126

Google Scholar

[10] W. Zhizhuo, On the renaming of the discipline photogrammetry, ISPRS Journal of Photogrammetry & Remote Sensing 51 (1996) pp.1-4.

DOI: 10.1016/0924-2716(96)00002-0

Google Scholar

[11] K.B. Atkinson: Close Range Photogrammetry and Machine Vision. Whittles Publishing, Scotland (1996).

Google Scholar

[12] K. Hanke: Accuracy Study Project of Eos Systems´Photomodeler. InSpec Engineering Services, (2000).

Google Scholar

[13] M. Fedak: 3D Measurement Accuracy of a Consumer-Grade Digital Camera and RetroReflective Survey Targets. InSpec Engineering Services (2000).

Google Scholar

[14] R.S. Pappa, L.R. Giersch, and J.M. Quagliaroli: Photogrammetry of a 5m Inflatable Space Antenna With Consummers Digital Cameras. NASA Langley Research Center (2000).

DOI: 10.1111/j.1747-1567.2001.tb00028.x

Google Scholar

[15] G. Sansoni and F. Docchio: Three-dimensional optical measurements and reverse engineering for automotive applications. Robotics and Computer-Integrated Manufacturing 20 (2004). pp.359-367.

DOI: 10.1016/j.rcim.2004.03.001

Google Scholar