A hybrid analytical- and discrete-based methodology for determining cutter-workpiece engagement in five-axis milling

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• 作者：Gandjar Kiswanto ; Hendriko Hendriko…
• 关键词：Five ; axis milling ; Analytical method ; Cutter ; workpiece engagement
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：80
• 期：9-12
• 页码：2083-2096
• 全文大小：3,179 KB
• 参考文献：1.Liu XW (1995) Five-axis NC cylindrical milling of sculptured surfaces. Comput Aided Des 27(12):887鈥?94CrossRef
  2.El-Mounayri H, Spence AD, Elbestawi MA (1998) Milling process simulation鈥攁 generic solid modeller based paradigm. J Manuf Sci Eng 120(2):213鈥?21CrossRef
  3.Ko JH, Yun WS, Cho D W, Ehmann KF(2002) Development of a virtual machining system, part 1: approximation of the size effect for cutting force prediction. International Journal of Machine Tools and Manufacture42(15), 1595鈥?605.
  4.Yun WS, Ko JH, Cho DW, Ehmann KF (2002) Development of a virtual machining system, part 2: prediction and analysis of a machined surface error. Int J Mach Tools Manuf 42(15):1607鈥?615CrossRef
  5.Merdol SD, Altintas Y (2008) Virtual cutting and optimization of three axis milling processes. Int J Mach Tool Manuf 48(10):1063鈥?071CrossRef
  6.Kurt M, Bagci E (2011) Feedrate optimisation/scheduling on sculptured surface machining: a comprehensive review, applications and future directions. Int J Adv Manuf Technol 55(9鈥?2):1037鈥?067CrossRef
  7.Altintas Y, Spence A, Tlusty J (1991) End milling force algorithms for CAD systems. CIRP Ann-Manuf Technol 40(1):31鈥?4CrossRef
  8.Spence AD, Altintas Y (1994) A solid modeler based milling processs simulation and planning system. Trans ASME J Eng Ind 116(1):61鈥?9CrossRef
  9.Fleisig RV, Spence AD (2005) Technique for accelerating B-rep based parallel machining simulation. Comput Aided Des 37(12):1229鈥?240CrossRef
  10.Jerard RB, Drysdale RL, Hauck K, Schaudt B, Magewick J (1989) Methods for detecting errors in sculptured surface machining. IEEE Comput Graph Appl 9:26鈥?9CrossRef
  11.Park JW, Shin YH, Chung YC (2005) Hybrid cutting simulation via discrete vector model. Comput Aided Des 37(4):419鈥?30CrossRef
  12.Lazoglu I (2003) Sculptural surface machining: a generalized model of ball-end milling force system. Int J Mach Tools Manuf 43(5):453鈥?62CrossRef
  13.Kim GM, Chu CN (2004) Mean cutting force prediction in ball-end milling using force map method. J Mater Process Technol 146(3):303鈥?10CrossRef
  14.Jeong J, Kim K (1999) Generating tool paths for free-form pocket machining using z-buffer-based Voronoi diagrams. Int J Adv Manuf Technol 15(3):182鈥?87CrossRef
  15.Weinert K, Zabel A, Ungemach E, Odendahl S (2008) Improved NC path validation and manipulation with augmented reality method. Prod Eng 2(4):371鈥?76CrossRef
  16.Zhang X, Yu T, Wang W (2014) Modeling, simulation, and optimization of five-axis processes. Int J Adv Manuf Technol 74:1611鈥?624CrossRef
  17.Lee HU, Cho DW(2003) An intelligent feedrate scheduling based on virtual machining. International Journal of Advanced Manufacturing Technology 22:873鈥?82
  18.Ozturk B, Lazoglu I (2006) Machining of free-form surfaces. Part I: analytical chip load. Int J Adv Manuf Technol 46(7):728鈥?35
  19.Song G, Li J, Sun J (2013) Approach for modeling accurate undeformed chip thickness in milling operation. Int J Adv Manuf Technol 68(5鈥?):1429鈥?439CrossRef
  20.Tunc LT, Budak E (2009) Extraction of 5 axis milling conditions from CAM data for process simulation. Int J Adv Manuf Technol 43(5鈥?):538鈥?50CrossRef
  21.Kiswanto G, Hendriko H, Duc E (2014) An analytical method for obtaining cutter workpiece engagement during a semi-finish in five-axis milling. Comput Aided Des 55:81鈥?3CrossRef
  22.Gupta SK, Saini SK, Spranklin BW, Yao Z (2005) Geometric algorithms for computing cutter engagement functions in 2.5D milling operations. Comput Aided Des 37(14):1469鈥?480CrossRef
  23.Gao G, Wu B, Zhang D, Luo M (2013) Mechanistic identification of cutting force coefficients in bull-nose milling process. Chin J Aeronaut 26(3):823鈥?30CrossRef
  24.Erdim H, Lazoglu I, Ozturk B (2006) Feedrate scheduling strategies for free-form surfaces. Int J Mach Tools Manuf 46(7):747鈥?57CrossRef
  25.Wan M, Zhang WH, Qin GH, Tan G (2007) Efficient calibration of instantaneous cutting force coefficients and runout parameters for general end mills. Int J Mach Tools Manuf 47(11):1767鈥?776CrossRef
  26.Yun WS, Cho DW (2001) Accurate 3-D force prediction using cutting condition independent coefficients in end milling. Int J Adv Manuf Technol 41(4):463鈥?78
  27.Denkena B, Vehmeyer J, Niederwestberg D, Maa脽 P (2014) Identification of the specific cutting force for geometrically defined cutting edges and varying cutting conditions. Int J Mach Tools Manuf 82:42鈥?9CrossRef
  
• 作者单位：Gandjar Kiswanto (1)
  Hendriko Hendriko (1) (2) (3)
  Emmanuel Duc (2)
  
  1. Laboratory of Manufacturing Technology and Automation, Department of Mechanical Engineering, Universitas Indonesia, Depok, Indonesia
  2. IFMA, UMR 6602, Institut Pascal, Clermont Universit茅, BP 10448, F-63000, Clermont-Ferrand, France
  3. Mechatronics Department, Politeknik Caltex Riau, Pekanbaru, Indonesia
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

This paper presents a new method to determine the cutter-workpiece engagement (CWE) for a toroidal cutter during free-form surface machining in five-axis milling. A hybrid method, which is a combination of a discrete model and an analytical approach, was developed. Although the workpiece surface was discretized by a number of normal vectors, there was no calculation to determine the intersection between the normal vector and the cutting tool. The normal vectors were used to define the workpiece surface mathematically; next, the engagement point was calculated using a combination of the workpiece surface equation, the parametric equation of the cutting tool, and the tool orientation data. Three model parts with different surface profiles were tested to verify the validity of the proposed method; the results indicated that the method was accurate. The method also eliminated the need for a large number of discrete vectors to define the workpiece surface. A comparison showed that the proposed method was computationally more efficient. The CWE model was subsequently applied to support the cutting force prediction model. A validation test demonstrated that in terms of trends and amplitudes, the predicted cutting forces exhibit good agreement with the cutting force generated experimentally. Keywords Five-axis milling Analytical method Cutter-workpiece engagement