Vladyslav Protsenko, Volodymyr Malashchenko, S. Kłysz, O. Avramenko
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引用次数: 0
Abstract
The article deals with ball-type safety-overrunning clutches' elastic characteristics in overload mode. Main semi-couplings geometric parameters, particularly ball stroke and semi-couplings twisted angles, affecting operation speed and clutch elastic torque considered and obtained expressions for this parameters determination. Main clutch parts force interaction features in the final overload operation period analyzed and ratios for the clutch final period load are obtained. Based on current and previous studies, the expressions for elastic torque in the overload operation period are estimated. Obtained results could become the tool for the dynamics analysis of studied clutch-equipped driving operation during the clutch reengagement in overload mode. It is shown the expedience of using in high-speed driving clutches with large values of grooves to clutch axis inclination angle to decrease dynamic loads in driving, because in little and middle angles values provide nosedive dropping of final stage torque which can become a source of intense oscillations in the driving equipped with clutch in overload mode.
期刊介绍:
Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.