Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract— The output of a mechanism is always different from desired one due to the existence of different types of errors. These errors can be categorized as mechanical and structural errors. For an accurate synthesis, total error consisting of structural and mechanical errors, should be considered simultaneously. The tolerances in link lengths as well as clearances in joints introduce appreciable mechanical error. It is desired that total error (sum of structural and mechanical error) should be small as far as possible in desired range of path/function generation with desired probabilities. In this proposed work, an attempt has been made to allocate the tolerance in link lengths of a five bar RGGR spatial slider crank mechanism using weighted least square approach (Gilbert-Moore encoding procedure for distribution of probability) in such a way that total error may be controlled in a prescribed range.
Index Terms— Mechanical error, Structural error, Total error Mechanism, Gilbert-moore probability distribution, Actual link length, Nominal link length
Cite: S R Madan, Sushant Mahendru, and Anjali Mahendru, " Tolerances Allocation of RGGR Slider Crank Mechanism Using Gilbert-Moore Encoding Method," International Journal of Mechanical Engineering and Robotics Research, Vol. 1, No. 2, pp. 158-164, July 2012.
Copyright © 2018-2020 International Journal of Mechanical Engineering and Robotics Research, All Rights Reserved