Convex relaxation for optimal fixture layout design
Zhen Zhong, Shancong Mou, Jeffrey H. Hunt, Jianjun Shi
Abstract
This article proposes a general fixture layout design framework that directly integrates the system equation with the convex relaxation method. Note that the optimal fixture design problem is a large-scale combinatorial optimization problem; we relax it to a convex Semi-Definite Programming (SDP) problem by adopting sparse learning and SDP relaxation techniques. It can be solved efficiently by existing convex optimization algorithms and thus generates a near-optimal fixture layout. A real case study in the half-to-half fuselage assembly process indicates the superiority of our proposed algorithm compared to the current industry practice and state-of-art methods.
Topics & Concepts
FixtureRelaxation (psychology)Mathematical optimizationSemidefinite programmingRegular polygonConvex optimizationComputer scienceProcess (computing)AlgorithmMathematicsEngineeringGeometryPsychologyOperating systemMechanical engineeringSocial psychologyManufacturing Process and OptimizationOptimization and Packing ProblemsAdvanced Manufacturing and Logistics Optimization