Abstract
In modern machining applications, with the developments in computer-aided manufacturing (CAM) technology, predictive modeling of milling operations has gained momentum. However, there is still a big gap between CAM technology and process modeling which limits its use in machining strategy development and parameter selection. In this paper, an approach is proposed for the use of process models and simulation tools in this direction. Cutting force and stability simulations are used in identification of feasible regions of cutting parameters and comparison of machining strategies for productivity. Cutting force simulation throughout a toolpath is performed through extended Z-mapping approach, where a previously developed generalized cutting force model is utilized. Stability diagrams are generated in frequency domain. Dynamic programming (DP) approach is adapted for machining strategy comparison, which takes into account several constraint curves such as chatter stability, cutting torque, spindle power, tool deflection, and surface roughness. The proposed approach was applied on a case study to demonstrate the use of process models in machining strategy and parameter selection in 5-axis milling.
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References
Budak E (2006) Analytical methods for high performance milling—part I: forces, form error and tolerance integrity. Int J Mach Tools Manuf 46:1478
Budak E (2006) Analytical models for high performance milling, part II: process dynamics and stability. Int J Mach Tool Manuf 46:1489–1499
Altintas Y, Kersting P, Biermann D, Budak E (2014) Virtual process systems for part machining operations. CIRP Ann 63:585–605
Lim EM, Menq CH (1997) Integrated planning for precision machining of complex surfaces. Part 1: cutting path and federate optimization. Int J Mach Tools Manuf 37/1:61–75
Lazoglu I, Manav C, Murtezaoglu Y (2009) Tool path optimization for free form surface machining. CIRP Ann Manuf Technol 58(1):101–104
Ramos AM, Relvas C, Simoes JA (2003) The influence of finishing milling strategies on texture, roughness and dimensional deviations on the machining of complex surfaces. J Mater Process Technol 136:209–216
Baptista R, Simoes JFA (2000) Three and five axis milling of sculptured surfaces. J Mater Process Technol 103:398–403
Giri V, Bezbaruah D, Bubna P, Choudhury AR (2005) Selection of master cutter paths in sculptured surface machining by employing curvature principle. Int J Mach Tools Manuf 45:1202–1209
CA My, ELJ Bohez, SS Makhanov, M Munlin, HN Phien, MT Tabucanon On 5-axis freeform surface machining optimization: vector clustering approach. Int J CAD/CAM
Lacalle LNL, Lamikiz A, Sanchez JA, Salgado MA (2007) Toolpath selection based on the minimum deflection cutting forces in the programming of complex surfaces milling. Int J Mach Tool Manuf 47:388–400
Toh CK (2004) A study of the effects of cutter path strategies and orientations in milling. J Mater Process Technol 152:346–35
Monreal M, Rodrigues CA (2003) Influence of tool path strategy on cycle time of high speed milling. Comput Aided Des 35:395–401
Feng HY, Su N (2000) Integrated tool path and feed rate optimization for the finishing machining of 3D plane surfaces. Int J Mach Tools Manuf 40:1557–1572
Quinsat Y, Sabourin L (2006) Optimal selection of machining direction for three-axis milling of sculptured parts. Int J Adv Manuf Technol 27:1132–1139
Ozturk E, Taner Tunc L, Budak E (2009) Investigation of lead and tilt angle effects in 5-axis ball-end milling processes. Int J Mach Tools Manuf 49(14):1053–1062
Yigit, I Enes, I Lazoglu (2015) “Analysis of tool orientation for 5-axis ball-end milling of flexible parts.” CIRP Ann Manuf Technol
Tekeli A, Budak E (2005) Maximization of chatter-free material removal rate in end milling using analytical methods. Mach Sci Technol 9:147–167
Merdol DS, Altintas Y (2008) Virtual simulation and optimization of milling applications—part II: optimization and feedrate scheduling. J Manuf Sci Eng 130:051005–1
Wang ZG, Rahman M, Wong YS, Sun J (2005) Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing. Int J Mach Tool Manuf 45:1726–1734
Shunmugam MS, Bhaskara SV, Narendran TT (2000) Selection of optimal conditions in multi pass face milling using a genetic algorithm. Int J Mach Tools Manuf 40:401–414
Kim GM, Cho PJ, Chu CN (2000) Cutting force prediction of sculptured surface ball-end milling using Z-map. Int J Mach Tools Manuf 40:277–291
Kim YH, Ko SL (2006) Improving of cutting simulation using the octree method. Int J Adv Manuf Technol 28:1152–1160
Li GJ, Yao YX, Xia PJ, Liu CQ, Wu CG (2007) Extended octree for cutting force prediction. Int J Adv Manuf Technol
Sullivan A, Erdim H, Perry RN, Frisken SF (2012) High accuracy NC milling simulation using composite adaptively sampled distance fields. Comput Aided Des 44(6):522–536
Boz Y, Erdim H, Lazoglu I (2015) A comparison of solid model and three-orthogonal dexelfield methods for cutter-workpiece engagement calculations in three-and five-axis virtual milling. Int J Adv Manuf Technol 1–13
Ferry WB, Yip-Hoi D (2008) Cutter-workpiece engagement calculations by parallel slicing for five-axis flank milling of jet engine impellers. ASME J Manuf Sci Eng 130(5):051011
Tunc LT, Budak E (2009) Extraction of 5-axis milling conditions from CAM data for process simulation. Int J Adv Manuf Technol 43(5–6):538–550
Bailey T, Elbestawi MA, El-Wardany TI, Fitzpatrick P (2002) Generic simulation approach for multi-axis machining, part 1: modeling methodology. Trans ASME 124:624
Bailey T, Elbestawi MA, El-Wardany TI, Fitzpatrick P (2000) Generic simulation approach for multi-axis machining, part 2: model calibration and feed rate scheduling. J Mater Process Technol 103:398–403
Erdim H, Lazoglu I, Ozturk B (2006) Feedrate scheduling strategies for free-form surfaces. Int J Mach Tools Manuf 46(7):747–757
Saturley PV, Spence AD (2000) Integration of milling process simulation with on-line monitoring and control. Int J Adv Manuf Technol 16:92–99
Taner TL, Matej S, Jan K (2015) Integrated simulation system for 5- axis milling cycles, 15th CIRP Conference on Modelling of Machining Operations. Proc CIRP 39:64–69. doi:10.1016/j.procir.2015.03.057
Budak E, Ozturk E, Tunc LT (2009) Modeling and simulation of 5-axis milling processes. CIRP Ann Manuf Technol 58:347–350. doi:10.1016/j.cirp.2009.03.044
Tunc LT, Ozkirimli OO, Budak E (2014) Generalized cutting force model in multi-axis milling using a new engagement boundary determination approach. Int J Adv Manuf Technol. doi:10.1007/s00170-014-6453-8
Ozturk E, Budak E (2010) Dynamics and stability of five axis ball end milling. J Manuf Sci Eng Trans ASME 021003–1 - 021003–12
Wu CY (2012) Arbitrary surface flank milling & flank sam in the design and manufacturing of jet engine fan and compressor airfoils. Proceedings of ASME Turbo Expo, Copenhagen
Choi BK (1991) Surface modelling for CAD/CAM. Elsevier, New York
Bellman ER, Dreyfus ES (1962) Applied dynamic programming, RAND Corporation
Budak E, Tunc LT, Alan S, Özgüven HN (2012) Prediction of workpiece dynamics and its effects on chatter stability in milling. CIRP Ann Manuf Technol 61:339–342
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Tunç, L.T., Ozkirimli, O. & Budak, E. Machining strategy development and parameter selection in 5-axis milling based on process simulations. Int J Adv Manuf Technol 85, 1483–1500 (2016). https://doi.org/10.1007/s00170-015-8001-6
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DOI: https://doi.org/10.1007/s00170-015-8001-6