This paper reports a first investigation in the use of the state variable filter method of parametric identification in the determination of the mass, stiffness and damping content of cam follower systems. Simulated and real experimental data are processed by the technique with good results. Further developments are necessary (extension to higher order systems and inclusion of Coulomb damping) with the long-term aim of applying the results in the design and manufacture of dynamically tuned cams.
Get full access to this article
View all access options for this article.
References
1.
OlmsteadE. H.TaylorE. S.Poppet valve dynamics. J. Aeronaut. Sci., July 1939, 6, 370–375.
2.
HronesJ. A.An analysis of the dynamic forces in a cam-driven system. Trans. ASME, July 1948, 70, 473–482.
3.
MitchellD. B.Tests on dynamic response of cam-follower systems. Mech. Engng, June 1950, 72, 467–471.
4.
TurkishM. G.Electronic inspection of engine cam contours. Electronics, October 1950.
5.
ThorenT. R.EngemannH. H.StoddartD. A.Cam design as related to valve train dynamics. SAE Q. Trans., 6 January 1952, 1, 1–14.
6.
BarkanP.Calculation of high-speed valve motion with a flexible overhead linkage. SAE Trans., 1953, 61, 687–700.
7.
KosterM. P.The application of dynamic models in the analysis of the dynamics of cam followers and cam shafts. IFTOMM International Symposium on Machines and mechanisms, university research work and its application to industry, Dublin, Ireland, 12–13 September 1974, pp. 131–151.
ChenF. Y.Mechanics and design of cam mechanisms, 1982 (Pergamon Press).
10.
PisanoA. P.The analytic development and experimental verification of a predictive model of a high-speed cam-follower system. PhD thesis, 1981, Columbia University.
11.
PisanoA. P.FreudensteinF.An experimental and analytical investigation of the dynamic response of a high-speed cam-follower system, Part 1: Experimental investigation. ASME J. of Mechanisms, Transm. Automn in Des., 1983, 105(4), 692–698.
12.
PisanoA. P.FreudensteinF.Part 2: A combined, numbered/distributed lumped parameter dynamic model. ASME J. of Mechanisms, Transm. Automn in Des., 1983, 105(4), 698–704.
13.
PisanoA. P.Cam systems with coulomb friction: comparison of two models and experiment. Presented at the ASME Conference on Technical design, Columbia, 5–8 October 1985, paper 86-DET-96, pp. 1–7.
14.
DudleyW. M.A new approach to cam design. Mach. Des., July 1947, 19, 143–148.
15.
StoddartD. A.Polydyne can design. Mach. Des., January 1953, 25, 121–135; February 1953, 25, 146–154; and March 1953, 25, 149–164.
16.
TesarD.MatthewG. K.The dynamic synthesis, analysis and design of modelled cam systems, 1976 (Lexington, Massachusetts).
17.
Rees-JonesJ.A comparison of the dynamic performance of tuned and non-tuned multiharmonic cams. Second IFTOMM International Symposium on Linkages and computer aided design methods, Bucharest, June 1977, Vol. III-2, paper 47, pp. 553–564.
18.
BackhouseC. J.Performance optimisation of high-speed mechanism: a case history from the cigarette packing industry. Seminar on High speed machinery, London, 12 March 1987 (Institution of Mechanical Engineers, London).
19.
LeuridanJ. M.BrownD. L.AllemangR. J.Time domain parameter identification methods for linear modal analysis: A unifying approach. Trans. ASME, J. Vibr., Acoust, Stress and Reliability in Des., January 1986, 108, 1–8.
20.
JezequelL.Three new methods of modal identification. Trans. ASME, J. Vibr., Acous., Stress and Reliability in Des., January 1986, 108, 17–25.
21.
FritzenC-P.Identification of mass, damping and stiffness matrices of mechanical systems. Trans. ASME, J. Vibr. Acoust., Stress and Reliability in Des., January 1986, 108, 9–16.
22.
RamliM. D.RobertsJ. B.EllisJ.Determination of squeeze-film dynamic coefficients from experimental data. Trans. ASME, J. Tribology, January 1987, 109, 155–163.
23.
EllisJ.RobertsJ. B.SianakiHosseini A.A comparison of identification methods for estimating squeeze-film damper coefficients. Trans. ASME, J. Tribology, January 1988, 110, 119–127.
24.
RobertsJ. B.EllisJ.SianakiHosseini A.Parametric identification of multi-degree of freedom dynamical systems using the state variable filter approach. To be published.
25.
GawthropP. J.KountzerisA.RobertsJ. B.Parametric identification of non-linear ship roll motion from forced roll data. To be published in J. Ship Res., SNAME..
26.
ClymerA. B.Direct system synthesis by means of computers. Trans. AIEE, 1959, 77(1), 798–806.
27.
YoungP. C.Process parameter estimation and self adaptive control. Proceedings of Second IFAC Symposium, 1965 (Plewn Press, New York).
28.
GawthropP. J.Parametric identification of transient signals. IMA J. Math. Control and Inf., 1984, 1, 117–128.
29.
GawthropP. J.Parametric estimation from non-contiguous data. IEE Proc., November 1984, 131(D6), 261–266.
30.
YoungP.Recursive estimation and time series analysis, an introduction, 1984 (Springer-Verlag, Berlin).
