Abstract
This paper proposes a new method to simultaneously calibrate the milling force coefficients and the cutter runout parameters in helical end milling. The linear cutting force model is utilized with the consideration of the runout of the cutter, and the mathematical relationships between the instantaneous milling forces and the milling force coefficients are expressed by an underdetermined system of linear equations. Then the least squares method is employed, and a calibration procedure is presented by defining an objective function, which is utilized to estimate the deviations between the simulated results and the measured results. Finally, experimental studies are carried out to verify the accuracy of the milling force coefficients and the cutter runout parameters calibrated by the proposed method. Results indicate that the predicted results agree well with the experiment results, and the errors of predicted results are much smaller than those of the average force method, which means that the proposed method has a higher accuracy than the average force method.
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References
Rubeo MA, Schmitz TL (2016) Milling force modeling: a comparison of two approaches. Procedia Manuf 5:90–105
Zhang Z, Li HG, Meng G, Tu XT, Cheng CM (2016) Chatter detection in milling process based on the energy entropy of VMD and WPD. Int J Mach Tools Manuf 108:106–112
Qin C, Tao J, Shi H, Xiao D, Li B, Liu C (2020) A novel Chebyshev-wavelet-based approach for accurate and fast prediction of milling stability. Precis Eng 62:244–255
Hu M, Ming WW, An QL, Chen M (2019) Tool wear monitoring in milling of titanium alloy Ti–6Al–4 V under MQL conditions based on a new tool wear categorization method. Int J Adv Manuf Technol 104:4117–4128
Altintas Y, Tuysuz O, Habibi M, Li ZL (2018) Virtual compensation of deflection errors in ball end milling of flexible blades. CIRP Ann Manuf Technol 67:365–368
Pawade RS, Sonawane HA, Joshi SS (2009) An analytical model to predict specific shear energy in high-speed turning of Inconel 718. Int J Mach Tools Manuf 49:979–990
Ducobu F, Riviere-Lorphevre E, Filippi E (2014) Numerical contribution to the comprehension of saw-toothed Ti6Al4V chip formation in orthogonal cutting. Int J Mech Sci 81:77–87
Jomaa W, Mechri O, Lévesque J, Songmene V, Bocher P, Gakwaya A (2017) Finite element simulation and analysis of serrated chip formation during high-speed machining of AA7075-T651 alloy. J Manuf Process 26:446–458
Gonzalo O, Beristain J, Jauregi H, Sanz C (2010) A method for the identification of the specific force coefficients for mechanistic milling simulation. Int J Mach Tools Manuf 50(9):765–774
Zhang Z, Li HG, Meng G, Ren S, Zhou JW (2017) A new procedure for the prediction of the cutting forces in peripheral milling. Int J Adv Manuf Technol 89:1709–1715
Merchant M (1944) Basic mechanics of the metal cutting process. J Appl Mech 11(3):A168–A175
Palmer WB, Oxley PLB (1959) Mechanics of orthogonal machining. P I Mech Eng 173(1):623–654
Fang N, Jawahir I (2002) An analytical predictive model and experimental validation for machining with grooved tools incorporating effects of strains strain-rates, and temperatures. CIRP Ann-Manuf Techn 51(1):83–86
Ren H, Altintas Y (2000) Mechanics of machining with chamfered tools. J Manuf Sci Eng 122(4):650–659
Karpat Y, Özel T (2006) Predictive analytical and thermal modeling of orthogonal cutting process-part I: predictions of tool forces, stresses, and temperature distributions. J Manuf Sci Eng 128(2):435–444
Zhuang K, Weng J, Zhu D, Ding H (2018) Analytical modeling and experimental validation of cutting forces considering edge effects and size effects with round chamfered ceramic tools. J Manuf Sci E-T ASME 140(8):081012
Ye GG, Xue SF, Jiang MQ, Tong XH, Dai LH (2013) Modeling periodic adiabatic shear band evolution during high speed machining Ti-6Al-4V alloy. Int J Plast 40:39–55
Buchkremer S, Klocke F, Lung D (2014) Analytical study on the relationship between chip geometry and equivalent strain distribution on the free surface of chips in metal cutting. Int J Mech Sci 85:88–103
Wang B, Liu Z (2016) Evaluation on fracture locus of serrated chip generation with stress triaxiality in high speed machining of Ti6Al4V. Mater Design 98:68–78
Agarwal A, Desai KA (2020) Importance of bottom and flank edges in force models for flat-end milling operation. Int J Adv Manuf Technol 107:1437–1449
Ma W, Shuang F (2019) The plastic flow stability of chip materials in metal cutting process. Int J Adv Manuf Technol 105:1933–1948
Binder M, Klocke F, Doebbeler B (2017) An advanced numerical approach on tool wear simulation for tool and process design in metal cutting. Simul Model Pract Th 70:65–82
Fan YH, Wang T, Hao ZP, Liu XY, Gao S, Li RL (2018) Surface residual stress in high speed cutting of superalloy Inconel718 based on multiscale simulation. J Manuf Process 31:480–493
Hor A, Morel F, Lebrun JL, Germain G (2013) Modelling, identification and application of phenomenological constitutive laws over a large strain rate and temperature range. Mech Mater 64:91–110
Arrazola PJ, Özel T, Umbrello D, Davies M, Jawahir IS (2013) Recent advances in modelling of metal machining processes. CIRP Ann-Manuf Techn 62(2):695–718
Melkote SN, Grzesik W, Outeiro J, Rech J, Schulze J, Attia H, Arrazola PA, Saoubi RA, Saldana C (2017) Advances in material and friction data for modelling of metal machining. CIRP Ann Manuf Technol 66:731–754
Altintas Y (2001) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Cambridge University Press, New York.
Guo M, Wei Z, Wang M, Li S, Liu S (2018) An identification model of cutting force coefficients for five-axis ball-end milling. Int J Adv Manuf Technol 99(1-4):937–949
Adem KAM, Fales R, El-Gizawy AS (2015) Identification of cutting force coefficients for the linear and nonlinear force models in end milling process using average forces and optimization technique methods. Int J Adv Manuf Technol 79:1671–1687
Perez H, Diez E, Marquez JJ, Vizan A (2013) An enhanced method for cutting force estimation in peripheral milling. Int J Adv Manuf Technol 69:1731–1741
Wan M, Zhang WH, Tan G, Qin GH (2007) New algorithm for calibration of instantaneous cutting-force coefficients and radial run-out parameters in flat end milling. P I Mech Eng B-J Eng 221(6):1007–1019
Zhang XW, Yu TB, Wang WS (2019) Cutting forces modeling for micro flat end milling by considering tool run-out and bottom edge cutting effect. P I Mech Eng B-J Eng 233(2):470–485
Funding
This research is supported by the National Natural Science Foundation of China (No. 52005413), Natural Science Basic Research Program of Shaanxi (No. 2020JQ-183), Shaanxi Key Research and Development Projects (No. 2019KW-018), and National Science and Technology Major Project of China (No. 2018ZX04005001).
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Zhao Zhang designed the framework of the paper and provided data analysis; Zepeng Liang wrote the paper and carried out the experiments; Ming Luo provided the experimental condition; Baohai Wu helped with the experiments; Dinghua Zhang contributed to the main idea of the paper.
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Zhang, Z., Liang, Z., Luo, M. et al. A general method for calibration of milling force coefficients and cutter runout parameters simultaneously for helical end milling. Int J Adv Manuf Technol 116, 2989–2997 (2021). https://doi.org/10.1007/s00170-021-07657-4
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DOI: https://doi.org/10.1007/s00170-021-07657-4