Laboratoire de Productique, Energétique et Développement Durable, Université Sidi Mohammed Ben Abdellah/Ecole Supérieure de Technologie, BP 2427 Route Imouzzer30000 Fès, Morocco
This work is to study the influence of form deviation on the tolerance analysis of a mechanism. In this case we use the worst case method. We also use the deviation domain. The study is primarily to assess the accumulated tolerances while assuming insignificant form deviations and secondly to integrate these deviations to assess the functional condition which is defined by orientation tolerance.
The major vocation of the industrial monitoring is to increase the availability of the industrial machines which are part of the systems of production in order to reduce the costs generated by maintenance which penalize the performances of the company. Methodologies of monitoring can be divided into two main categories: on the one hand, methodologies which are based on the existence of a formal model of the equipment to supervise, and on the other hand, methodologies for which the absence of a model requires the recourse to the tools of the artificial intelligence. This article is devoted initially to the presentation of methodologies of the monitoring using the tools of the artificial intelligence like to the state of art of the application of the artificial intelligence to the monitoring, and in the second time with a contribution to the design of a system of remote monitoring for the systems of production according to a functional approach.
The objective of this paper is to present the analysis of geometric tolerances of the assembly design with the deviations and clearance method, for this we will study initially the tolerance analysis using the worst case method, in a second step we will integrate statistical Tolerancing approach, and finally we will integrate form deviations of the parts to study the impact of these deviations on the tolerance analysis. To illustrate this process of analysis we used a classic case of assembly and we considered the location tolerance (perpendicularity) and the form tolerance (flatness). Finally, a comparative study between the two statistical methods was illustrated.
Show abstract
Full Text
