A Feasibility Space Approach for Automated Tolerancing

This paper develops a mathematical theory of tolerances in which tolerance specifications are interpreted as constraints that define a feasible region of a Cartesian space of model variations. Specific examples demonstrate the application of the feasibility space approach to the mathematical interpretation of tolerances of location, orientation, and form. We conclude with the description of an approach to worst-case tolerance analysis, using the feasibility space approach.