Computer aided tolerance analysis for improved process control
Computers and Industrial Engineering
Advanced Tolerancing Techniques
Advanced Tolerancing Techniques
Variational Solid Modeling for Tolerance Analysis
IEEE Computer Graphics and Applications
Analysis of uncertainties and geometric tolerances in assemblies of parts
Analysis of uncertainties and geometric tolerances in assemblies of parts
Computers in Industry - Special issue: Application of genetics algorithms in industry
Functional tolerancing of complex mechanisms: identification and specification of key parts
Computers and Industrial Engineering
Genetic algorithms in statistical tolerancing
Mathematical and Computer Modelling: An International Journal
Statistical tolerance analysis of a hyperstatic mechanism, using system reliability methods
Computers and Industrial Engineering
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The allocation of design and manufacturing tolerances has a significant effect on both manufacturing cost and quality. This paper considers nonlinearly constrained tolerance allocation problems. The purpose is to minimize the ratio between the sum of the manufacturing costs (tolerances costs) and the risk (probability of the respect of geometrical requirements). The techniques of Monte Carlo simulation and genetic algorithm are adopted to solve these problems. As the simplest and the popular method for non-linear statistical tolerance analysis, the Monte Carlo simulation is introduced into the frame. Moreover, in order to make the frame efficient, the genetic algorithm is improved according to the features of the Monte Carlo simulation. An illustrative example (hyperstatic mechanism) is given to demonstrate the efficiency of the proposed approach.