Experimental research on the critical conditions and critical equation of chip splitting when turning a C45E4 disc workpiece symmetrically with a high-speed steel double-edged turning tool

Abstract

Chip splitting is a natural chip separation phenomenon that can significantly reduce cutting energy consumption. To reveal its occurrence mechanisms, a method for obtaining its critical conditions through cutting experiments and establishing its critical equation is proposed in this paper. Based on previous research results regarding the relationship between chip removal interference and chip splitting, the control variables that affect chip splitting are identified by analyzing a geometric model of the cutting process. A total of 366 experiments on turning a C45E4 disc workpiece with a high-speed steel double-edged turning tool based on the dichotomy method were conducted and 51 experimental data on chip splitting critical conditions were obtained. According to these experimental data, a critical equation expressed by a finite-degree polynomial with a cutting thickness equal to the other control variables was fitted. By analyzing the critical surface, it was determined that chip splitting followed a law in which the smaller the cutting thickness and the larger the absolute value of the negative rake angle, edge angle, and edge inclination of the tool, the more likely chip splitting was to occur. Through a verification experiment, it was determined that the derived critical equation could accurately predict the occurrence of 95.24% of chip splitting. It was also determined that the occurrence of chip splitting led to a cliff-like drop in the specific total cutting force with a maximum drop of 51.23%. This research lays a foundation for the rational utilization of chip splitting in tool structure parameter design and cutting parameter energy saving optimization.

Keywords

Chip splitting / Critical conditions / Critical equation / Cutting force / Experimental research / Double-edged turning tool symmetrical transverse cutting

References

[1] Zhou L, Dong H, Ke Y, et al. Analysis of the chip-splitting performance of a dedicated cutting tool in dry orbital drilling process. Int J Adv Manuf Technol, 2017, 90(5): 1809-1823.

[2] Sharma V, Pandey PM. Recent advances in turning with textured cutting tools: a review. J Clean Prod, 2016, 137: 701-715.

[3] Wang B, Liu Z, Song Q, et al. Proper selection of cutting parameters and cutting tool angle to lower the specific cutting energy during high speed machining of 7050–T7451 aluminum alloy. J Clean Prod, 2016, 129: 292-304.

[4] Abdelrazek AH, Choudhury IA, Nukman Y, et al. Metal cutting lubricants and cutting tools: a review on the performance improvement and sustainability assessment. Int J Adv Manuf Technol, 2020, 106(9): 4221-4245.

[5] Kant G, Sangwan KS. Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining. J Clean Prod, 2014, 83: 151-164.

[6] Cui H, Wan X, Xiong L. Modeling of the catastrophe of chip flow angle in the turning with double-edged tool with arbitrary rake angle based on catastrophe theory. Int J Adv Manuf Technol, 2019, 104(5): 2705-2714.

[7] Bagaber SA, Yusoff AR. Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316. J Clean Prod, 2017, 157: 30-46.

[8] Mohapatra RA (2013) Multi objective optimization of cutting parameters in turning operation to reduce tool vibration and cutting forces. Dissertation, National Institute of Technology Rourkela, India

[9] Chen QL, Chen XM, Duan ZH, et al. Research on helical milling specialized tool based on chip-splitting mechanism. Adv Mater Res, 2015, 1061/1062: 497-506.

[10] Wan ZP, Liu YJ, Tang Y, et al. Cutting model of multi-toothtool and its chip-splitting mechanism. Chin J Mech Eng, 2005, 41(3): 211-215.

[11] Cagan SC, Buldum B, Özkul I (2019) Chip morphology in turning of AZ91D magnesium alloy under different machining conditions. Süleyman Demirel Univ J Nat Appl Sci 23(1): 119−125

[12] Budda E (2015) Rotary cutting tool having a chip-splitting arrangement with two diverging grooves. Google Patents

[13] De Wald Jr AB, Shallenberger FT (2002) Spade blade drill and method of making. Google Patent

[14] McKinley R, Nuzzi JP, Stokey TG (2003) Drill insert geometry having chip splitting groove. Google Patent

[15] Dutta S, Narala SKR. Investigations on chip formation of turned novel AM alloy. Proc Inst Mech Eng E J Process Mech Eng, 2020, 235(2): 332-341.

[16] Luk W. The mechanics of symmetrical vee form tool cutting. Int J Mach Tool Des Res, 1969, 9(1): 17-38.

[17] Yamamoto A, Nakamura S. On the chip parting at V-shaped groove cutting. J Jpn Soc Prec Eng, 1978, 44(527): 1367-1372.

[18] Shi H. Chip-ejection interference in cutting processes of modern cutting tools. Sci China Ser E Technol Sci, 1999, 42(3): 275-281.

[19] Shi H. Metal cutting theory: new perspectives and new approaches, 2018, Cham: Springer.

[20] Chen QS, Dai L, Liu Y, et al. A cortical bone milling force model based on orthogonal cutting distribution method. Adv Manuf, 2020, 8: 204-215.

[21] Zhang X, Sui H, Zhang D, et al. An analytical transient cutting force model of high-speed ultrasonic vibration cutting. Int J Adv Manuf Technol, 2018, 95: 3929-3941.

[22] Merchant ME. Mechanics of the metal cutting process. I. Orthogonal cutting and a type 2 chip. J Appl Phys, 1945, 16(5): 267-275.

[23] Ogawa M, Nakayama K. Effects of chip splitting nicks in drilling. CIRP Ann, 1985, 34(1): 101-104.

[24] Yan X (2000) Research and application of free cutting tool design theory and method. Dissertation, Huazhong University of Science and Technology, China

[25] Xiong L, Chen Y, Shi H. Experimental study of the impact of chip-ejection speed interference on cutting forces. J Huazhong Univ Sci Technol (Nat Sci Ed), 2006, 34(9): 42-44.

[26] Kishawy H, Li L, El-Wahab A. Prediction of chip flow direction during machining with self-propelled rotary tools. Int J Mach Tools Manuf, 2006, 46(12/13): 1680-1688.

[27] Wan Z, Deng W, Tang Y, et al. Variation rules of chip flow angle in double-edge oblique cutting. J South China Univ Technol (Nat Sci Ed), 2008, 36(8): 83-87.

[28] Usui E, Hirota A. Analytical prediction of three dimensional cutting process—part 2: chip formation and cutting force with conventional single-point tool. J Eng Ind, 1978, 100(2): 229-235.

[29] Usui E, Hirota A, Masuko M. Analytical prediction of three dimensional cutting process—part 1: basic cutting model and energy approach. J Eng Ind, 1978, 100(2): 222-228.

[30] Usui E, Shirakashi T, Kitagawa T. Analytical prediction of three dimensional cutting process—part 3: cutting temperature and crater wear of carbide tool. J Eng Ind, 1978, 100(2): 236-243.

[31] Zhou ZH (1981) The effect of cutting conditions on the built-up edge. In: Proceedings of the twenty-first international machine tool design and research conference, Palgrave, London, pp 275–280

[32] Agung I (2019) Advanced time series data analysis: forecasting using eviews. Wiley, Hoboken. https://doi.org/10.1002/9781119504818

[33] Aljandali A, Tatahi M. Economic and financial modelling with eviews, 2018, Berlin: Springer.

[34] Gorczyca FE. Application of metal cutting theory, 1987, New York: Industrial Press

[35] Stephenson DA, Agapiou JS. Metal cutting theory and practice, 2016, 3 Los Angeles: CRC Press.

[36] Khoshdarregi M, Altintas Y. Dynamics of multipoint thread turning—part I: general formulation. J Manuf Sci Eng, 2018, 140(6): .

[37] Zhang Y, Guo S, Zhang Z, et al. Simulation and experimental investigations of complex thermal deformation behavior of wire electrical discharge machining of the thin-walled component of Inconel 718. J Mater Process Technol, 2019, 270: 306-322.

[38] Zhang ZQ, Yan YH, Yang HL. A simplified model of maximum cross-section flattening in continuous rotary straightening process of thin-walled circular steel tubes. J Mater Process Technol, 2016, 238: 305-314.

Funding

National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(51675203)