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Reliability-Based Decision Methodology for Stress-Strength Optimization of Machine Components

In this paper, a decision methodology for reliability-based stress-strength design optimization of machine components under economic aspects is described. For this purpose, pertinent influencing parameters were exemplarily identified, conditioned by a case study with the aid of statistical toleration. The obtained parameters were transferred into a stress-strength relationship through a feature chain. Whereas in standardized design procedures and guidelines, machine components are compulsorily dimensioned in an iterative process to the next most stable component modification in case of overstressing, here the probabilistic reliability analysis with subsequent tolerance synthesis and design optimization is used. Within the methodology, the statistically quantified probability of failure is deployed as the target value. Derived from the presented method, recommendations for customized design parameter values towards a cost-efficient, reliable construction layout can be made.