Abstract
The objective of this work is to perform a synthesis of a cam mechanism of the first species, with translating flat-face follower, based on deterministic and probabilistic approaches. The study consists of two parts: the first consists of optimization of the mechanism to obtain an optimal size and ensure a more efficient operation, taking into account the three major parameters that generally influence the design of this type mechanism, namely the base radius of the cam, the length of the plate and the eccentricity of the rod. In addition, the constraints related to the performance and resistance indicators as well as the geometric conditions are taken into account. The second part of this work is devoted to the reliability analysis whose probability of system failure is estimated by the approximate methods: FORM / SORM and Monte Carlo simulation, using the software Phimeca Software. Sensitivity measurements have demonstrated their effectiveness on system reliability by making it more robust.
Highlights
Cam-rod mechanisms are considered among the most prevalent and important systems that are found today in modern machines
The study consists of two parts: the first part performs a preliminary deterministic optimization in order to obtain an optimal size of the system and to ensure a more efficient operation
The objective function defined in this study aims to minimize the size and maximize the performance of the mechanism
Summary
Cam-rod mechanisms are considered among the most prevalent and important systems that are found today in modern machines. Terauchi and El-Shakery [9] developed an algorithm based on iterative numerical methods to optimize the size of the cam by respecting pressure constraints. The study consists of two parts: the first part performs a preliminary deterministic optimization in order to obtain an optimal size of the system and to ensure a more efficient operation. For this purpose, an objective function is defined which takes into account the three main parameters which. The second part is devoted to a reliability study whose probability of system failure is estimated by two complementary methods: the FORM / SORM approximation methods and the Monte Carlo simulation using the Phimeca reliability software [12]
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