Dynamic vibration dampers for console instruments
DOI:
https://doi.org/10.15276/opu.1.65.2022.01Keywords:
shock absorber, tuning sensitivity, amplitude, frequency, gap, boring barAbstract
The maximum efficiency of dynamic vibration dampers (DD) is achieved at optimal values of their parameters. Inertial DD are tuned according to their own frequency and damping, and the optimal values of the absorber parameters depend on the spectral composition of the suppressed oscillations. For nonlinear DD, the optimal values of parameters (for example, gap or precompression) also depend on the intensity of external influences on the object. For multi-element DDs, the number of damper inertial elements should also be optimized. The conditions for optimal tuning of the inertial DD are the conditions of antiresonance. In this work, the tuning of an impact DD with viscous friction has been studied. To determine the optimal value of the gap between the mass of the absorber and its body, a nonlinear problem was solved by the method of point transformations. The influence of deviations from the optimal setting of the shock DD on the amplitude of oscillations is determined. It has been established that small deviations from the optimum cause significant increments in the oscillation range (by 2...5 times), which leads to the need to tune the shock DD with high accuracy. The sensitivity of the vibration damper to the optimization error of its parameters is estimated in the work. In addition, the tuning features of multi-element DDs built into the boring bar for eight types of absorbers were studied with varying their design features. When studying the frequency characteristics, the ratio of the maximum values A0max/ADmax was taken as a measure of efficiency, where A0max is the oscillation amplitude in the system without a damper. The influence of the diametral clearance and the axial compression force on the efficiency of various types of DDs has been established.
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Chockalingam S., Ramabalan S., Govindan K. Chatter control and stability analysis in cantilever boring bar using FEA methods. Materials Today: Proceedings. 2020. 33. P. 2577–2580. DOI: https://doi.org/:10.1016/j.matpr.2019.12.166.
Biju C.V., Shunmugam M.S. Performance of magnetorheological fluid based tunable frequency boring bar in chatter control. Measurement: Journal of the International Measurement Confederation. 2019. 140. P. 407–415. DOI: https://doi.org/10.1016/j.measurement.2019.03.073.
Chockalingam S., Natarajan U., Selvam M., Cyril A.G. Investigation on Machinability and Damping Properties of Nickel–Phosphorus Coated Boring bar. Arabian Journal for Science and Engineering. 2016. 41 (2). P. 669–676 (2016). DOI: https://doi.org/10.1007/s13369-015-1830-7.
Chockalingam S., Natarajan U., George Cyril A. Damping investigation in boring bar using hybrid copper-zinc particles. JVC/Journal of Vibration and Control. 2017. 23 (13). P. 2128–2134. DOI: https://doi.org/10.1177/1077546315610946.
Ramesh K., Alwarsamy T., Jayabal S. Investigation of chatter stability in boring tool and tool wear prediction using neural network. International Journal of Materials and Product Technology. 2013. 46 (1). P. 47–70. DOI: https://doi.org/10.1504/IJMPT.2013.052789.
Ramesh K., Alwarsamy T., Jayabal S. ANN prediction and RSM optimization of cutting process parameters in boring operations using impact dampers. Journal of Vibroengineering. 2012. 14 (3). P. 1160–1175.
Rubio L., Loya J.A., Miguélez M.H., Fernández-Sáez J. Optimization of passive vibration absorbers to reduce chatter in boring. Mechanical Systems and Signal Processing. 2013. 41 (1–2). P. 691–704. DOI: https://doi.org/10.1016/j.ymssp.2013.07.019.
Marhadi K.S., Kinra V.K. Particle impact damping: Effect of mass ratio, material, and shape. Journal of Sound and Vibration. 2005. 283 (1-2), P. 433–448. DOI: https://doi.org/10.1016/j.jsv.2004.04.013.
Thomas M.D., Knight W.A., Sadek M.M. IMPACT DAMPER AS A METHOD OF IMPROVING CANTILEVER BORING BARS. American Society of Mechanical Engineers (Paper). 1974. (74-WA/DE-9), 8 p.
Lawrance G., Sam Paul P., Varadarajan A.S., Paul Praveen A., Ajay Vasanth X. Attenuation of vibration in boring tool using spring-controlled impact damper. International Journal on Interactive Design and Manufacturing. 2017. 11 (4). P. 903–915. DOI: https://doi.org/10.1007/s12008-015-0292-1.
Sims N.D., Amarasinghe A., Ridgway K. Particle dampers for workpiece chatter mitigation. American Society of Mechanical Engineers, Manufacturing Engineering Division, MED. 2005. 16–1, P. 825–832. DOI: https://doi.org/10.1115/IMECE2005-82687.
Suyama D.I., Diniz A.E., Pederiva R. The use of carbide and particle-damped bars to increase tool overhang in the internal turning of hardened steel. International Journal of Advanced Manufacturing Technology. 2016. 86 (5–8). P. 2083–2092. DOI: https://doi.org/10.1007/s00170-015-8328-z.
Song Q., Shi J., Liu Z., Wan Y., Xia F. Boring bar with constrained layer damper for improving process stability. International Journal of Advanced Manufacturing Technology. 2016. 83 (9-12). P. 1951–1966. DOI: https://doi.org/10.1007/s00170-015-7670-5.
Siddhpura M., Paurobally R. A review of chatter vibration research in turning. International Journal of Machine Tools and Manufacture. 2012. 61. P. 27–47. DOI: https://doi.org/10.1016/j.ijmachtools. 2012.05.007.
Alammari Y., Sanati M., Freiheit T., Park S.S. Investigation of Boring Bar Dynamics for Chatter Suppression. Procedia Manufacturing. 2015. 1. P. 768–778. DOI: https://doi.org/10.1016/j.promfg. 2015.09.059.16. Lu Z., Lu X., Masri S.F. Studies of the performance of particle dampers under dynamic loads. Journal of Sound and Vibration. 2010. 329 (26). P. 5415–5433. DOI: https://doi.org/10.1016/j.jsv.2010.06.027.
Pratt J.R., Nayfeh A.H. Chatter control and stability analysis of a cantilever boring bar under regenerative cutting conditions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2001. 359 (1781). P. 759–792. DOI: https://doi.org/10.1098/ rsta.2000.0754.
Hessainia Z., Belbah A., Yallese M.A., Mabrouki T., Rigal J.-F. On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations. Measurement: Journal of the International Measurement Confederation. 2013. 46 (5). P. 1671–1681. DOI: https://doi.org/10.1016/ j.measurement.2012.12.016.
Oborsky G., Orgiyan A., Tonkonogiy V., Aymen A., Balanyuk A. Investigation of dynamic effects in combined operations of fine turning and boring. In: Tonkonoji V., et al. (eds.) Advanced Manufacturing Processes. InterPartner-2019. Mechanical Engineering Lecture Notes, Odessa, September 10–13, 2019, Springer, Cham 2020, P. 226–235. DOI: https://doi.org/10.1007/978-3-030-40724-7_23.
