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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Nonlinear Condition Tolerancing Using Monte Carlo Simulation

Author 1: JOUILEL Naima
Author 2: ELGADARI M’hammed
Author 3: RADOUANI Mohammed
Author 4: EL FAHIME Benaissa

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070542

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.

  • Abstract and Keywords
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Abstract: To ensure accuracy and performance of the products, designers tend to hug the tolerances. While, manufacturers prefer to increase them in order to reduce costs and ensure competition. The analysis and synthesis of tolerances aim on studying their influence on conformity with functional requirements. This study may be conducted in the case of the most unfavorable configurations with the "worst case" method, or "in all cases" using the statistical approach. However, having a nonlinear condition make it difficult to analyse the influence of parameters on the functional condition. In this work, we are interested in the tolerance analysis of a mechanism presenting a nonlinear functional condition (slider crank mechanism). To do this we'll develop an approach of tolerances analysis combining the worst case and the statistical methods.

Keywords: Worst case tolerancing; statistical tolerancing; Monte Carlo simulation; nonlinear condition; slider crank system

JOUILEL Naima, ELGADARI M’hammed, RADOUANI Mohammed and EL FAHIME Benaissa, “Nonlinear Condition Tolerancing Using Monte Carlo Simulation” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070542

@article{Naima2016,
title = {Nonlinear Condition Tolerancing Using Monte Carlo Simulation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070542},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070542},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {JOUILEL Naima and ELGADARI M’hammed and RADOUANI Mohammed and EL FAHIME Benaissa}
}


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