Author(s)

J. El-Sayed & L. S.-B. King

Abstract

Multi-objective design optimization of automatic fixturing J. El-Sayed & L. S.-B. King Kettering University, USA. Abstract Manufacturing is a very competitive environment. In order to keep ahead of other competitors, manufacturers turn to automating more and more aspects of their facilities and processes. Fixturing is an important aspect of tooling that contributes significantly to quality improvement, lead-time reduction and cost minimization. Adequate theory and quantification methods are direly needed for rapid, efficient, and accurate automatic fixturing design for quick changes in production. Minimization of potential energy was successfully shown to generate a set of fixturing locator and clamping points. Convergence was slow for global optimization and adaptive simulated annealing methods. In this paper, Non-Linear Goal Programming is used, as an efficient approach, for solving the multi-levels potential energy optimization problem. The resulting locator and clamping locations for fixtu

Keywords