Computer Aided Tolerancing Based on Analysis and Synthetizes of Tolerances Method

TL;DR

This paper introduces a new approach for tolerancing analysis and verification in product design, combining Worst Case and Monte Carlo methods, validated through a 1D tolerancing example.

Contribution

It presents a novel combined method for tolerancing analysis using arithmetic and statistical techniques, specifically integrating Worst Case and Monte Carlo methods.

Findings

Comparison of Worst Case and Monte Carlo methods

Validation through a 1D tolerancing example

Enhanced tolerancing analysis approach

Abstract

The tolerancing step has a great importance in the design process. It characterises the relationship between the different sectors of the product life cycle: Design, Manufacturing and Control. We can distinguish several methods to assist the tolerancing process in the design. Based on arithmetic and statistical method, this paper presents a new approach of analysis and verification of tolerances. The chosen approach is based on the Worst Case Method as an arithmetic method and Monte Carlo method as a statistical method. In this paper, we compare these methods and we present our main approach, which is validated using an example of 1 D tolerancing.