Optimization of torsional systems with self-regulated pneumatic clutches

  • Štefan Segl’a Technical University of Košice
  • Cornelia M. Kalker-Kalkman Technical University of Delft

Abstract

In this paper possibilities of optimization of two torsional mechanical systems with one and two differential pneumatic clutches with self-regulation are shown. The systems are excited by harmonic components of the periodic moment caused by an engine. The advantage of the differential pneumatic clutch lies in the fact that its torsional stiffness can be controlled by the pressure of a gas medium in it. Optimization of such systems enables not only minimization of vibrations and dynamic effects but also avoiding resonance regimes in relatively wide frequency intervals (speeds of rotation of the system) . As objective function the mean total amplitude of relative vibration is used. The constraints on the amplitudes of dynamic moments and also anti-resonance constraints are considered.

Keywords

mechanical system, torsional vibration, optimization, pneumatic clutch,

References

[1] J. Homišin. Aplikácia diferenčnych pneumatickych spojok s autoreguláciou a bez autoregulácie v torzne kmitajucich mechanickych sustavách. Engineering Mechanics (Slovak Journal), 48: 116-129, 1997.
[2] J. Homisin. Methods of tuning torsionally oscillating mechanical systems using pneumatic tuners of torsional oscillations. Transactions of the Technical University of Kosice, 2: 415-428, 1993.
[3] Optimization Toolbox for Use with Matlab, User's Guide, Version 2, The MathWorks, Inc., Natick, MA (USA), 2000.
[4] Cornelia M. Kalker-Kalkman. Optimal design with the aid of randomization methods. Engineering with Computers, 7: 173-183, 1991.
[5] Cornelia M. Kalker-Kalkman. A design program based on the Monte Carlo method with applications. Advances in Computer-Aided Engineering, Delft University Press, 61-70, 1994.
Published
Dec 8, 2022
How to Cite
SEGL’A, Štefan; KALKER-KALKMAN, Cornelia M.. Optimization of torsional systems with self-regulated pneumatic clutches. Computer Assisted Methods in Engineering and Science, [S.l.], v. 12, n. 1, p. 9-16, dec. 2022. ISSN 2956-5839. Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/1003>. Date accessed: 23 nov. 2024.
Section
Articles