The capacity of modern computer numeric control (CNC) machine tool builds on the machine design (structural rigidity, drive system, control looping, etc.), machining process (cutting speed, feed rate and cutting forces) and environment (temperature and vibrations).The linear drive system of CNC machines consists of ball screw and its associated components. The servomotor drives the feed drive system in control conditions at required speed, and providing feedback to controller of the machine. Feed drive system is responsible for the performance of linear axis of machine. The performance indicators include positioning accuracy, repeatability and backlash. The required accuracy on workpiece relies on the torque/power of axis motors. The objective of this article is to derive an equation for the computation of torque for the feed drive system of CNC machines. We have proposed two simple and easiest method of computing torque. Firstly, we computed the torque required for the running of linear axis of machine under load conditions by the first method. Secondly, the verification of computed torque has been done by the second method. Thirdly, we have analyzed three major factors like rapid rate, weight over the system and lead of ball screw to study the behavior of torque. Finally, analytical estimations have been carried out for the validation of the deployed method.
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Kim SW, Park JS (1990) Computer aided optimum motor selection for D.C. servo drive systems. Int J Mach Tool Manuf 30(2):227–236
Guoa J-X, Zhanga K, Zhang Q (2013) X-S Gao (2013) Efficient time-optimal feedrate planning under dynamic constraints for a high-order CNC servo system. Comput Aided Des 45(12):1538–1546
Rahaman M, Seethaler R (2015) A new approach to contour error control in high speed machining. Int J Mach Tool Manuf 88:42–50
Lu L, Zhang L, Ji S, Han Y, Zhao J (2016) An offline predictive feedrate scheduling method for parametric interpolation considering the constraints in trajectory and drive systems. Int J Adv Manuf Technol 83:2143–2157
Fang C-X, Zhang H, Ye PQ, Liang W-Y (2015) Convex optimization approach in time-optimal feed-rate planning for CNC. Computer Integrated Manufacturing Systems, CIMS
Li Y, Lee C-H, Gao J (2015) From computer-aided to intelligent machining: recent advances in computer numerical control machining research. Proc Inst Mech Eng Part B J Eng Manuf 229:1087–1103
Chen S-L, Hsieh T-H (2007) Repetitive control design and implementation for linear motor machine tool. Int J Mach Tools Manuf 47(12–13):1807–1816
Mingzhu Z, Hongtao L, Dongzhi W (2011) Numerical control innovation for double cradle straight bevel gear milling machine. Procedia Eng 15:1149–1153
Chen T-C, Chih-Hsien Yu (2009) Robust control for a biaxial servo with time delay system based on adaptive tuning technique. ISA Trans 48(3):283–294
Preitl S, Stînean A-I, Precup R-E, Preitl Z, Petriu EM, Dragoş C-A, Rădac M-B (2012) Controller design methods for driving systems based on extensions of symmetrical optimum method with DC and BLDC motor applications. IFAC Proc Vol 45(3):264–269
Verma K, Belokar RM (2016) Pervasive investigations of critical speed over weight and deflection factors of shaft assembly in CNC ball screw system. Hindawi Publication Corporation, New York
Verma K, Belokar RM (2016) Optimized investigations over diameter and distance based factor towards rigidity and accuracy of spindle in CNC machining centers. J Manuf Sci Prod. https://doi.org/10.1515/jmsp20150026
Altintas Y (2012) 1954—manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Yusuf Altintas, Vancouver
Stute G, Bobel K, Hesselbach J, Hodel U, Stof Hans Gross P (ed) (1983) Electrical feed drives for machine tools. Wiley, Chichester
THK (1996) THK LM system ball screws. Catalog no. 75-IBE-2. T H K Co., Japan
Pozna C, Precup RE, Tar J, Škrjanc I, Preitl S (2010) New results in modelling derived from Bayesian filtering. Knowl Based Syst 23(2):182–194. https://doi.org/10.1016/j.knosys.2009.11.015
Verma K, Belokar R, Verma D, Kumar V, Ntalianis K (2019) Track-based analysis for profile generation on globoidal cam in automatic tool changer of CNC machining center. Assem Autom 39:369–379. https://doi.org/10.1108/AA-08-2018-111
Sarma K (2009) Neural network based feature extraction for assamese character and numeral recognition. Int J Artif Intel 2(S9):37–56
Verma K, Belokar R (2018) Inclusive estimations of ball screw-based CNC feed drive system over positioning and pre-loading factor. Assem Autom. https://doi.org/10.1108/AA-07-2017-082
Tolfo C, Wazlawick RS, Ferreira MGG, Forcellini FA (2018) Agile practices and the promotion of entrepreneurial skills in software development. J Softw Evol Process 30(9):e1945
Verma K (2017) Thermal stabilization based investigations over quenching media for spindle in CNC machining centers. Am J Mod Energy 3:10. https://doi.org/10.11648/j.ajme.20170301.12
Gil RPA, Johanyák ZC, Kovács T (2018) Surrogate model based optimization of traffic lights cycles and green period ratios using microscopic simulation and fuzzy rule interpolation. Int J Artif Intel 16(1):20–40
Kuldeep V, Rajendra B (2017) Quenching media based thermal explorations over spindle in high speed CNC machining centres. Am J Mech Mater Eng 1(3):26–30. https://doi.org/10.11648/j.ajmme.20170103.11
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Verma, K., Belokar, R.M., Verma, V.K. et al. Real-time inclusive investigations for the selection of servo drive system of CNC machining centers. J Braz. Soc. Mech. Sci. Eng. 42, 38 (2020) doi:10.1007/s40430-019-2127-7
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