基于稳定性分析的复杂零件夹紧点自动规划技术-机械制造及其自动化专业论文.docxVIP

II II Abstract With the rapid development of manufacturing industry, the machining technology has been improved. Fixturing is firstly confronted in the workpiece machining process. A workable fixturing layout is prerequisite to guarantee the machining quality and safety manufacturing. According to the rigidity and flexibility of workpiece, the planning method of fixturing layout is proposed for a workpiece. Suboptimal of machining accuracy and surface quality are result of the rigidity workpiece lost their ability to keep static equilibrium which generate play. Therefore, an optimal model of fixturing layout and its genetic algorithm-based solution technology are proposed according to the fixturing stability index and stability margin. Both the conditions for static equilibrium and the linear programming technology are, above all, employed to conclude the judgment criterion of fixturing stability and the corresponding solution algorithm. Thus, it is possible to describe whether a workpiece is stable in the fixturing process. Secondly, based on the equation of super elliptical sphere of forces, the volume of the super elliptical sphere is defined as the fixturing stability margin which can measure how stable the workpiece is when it is stable. Finally, the surface discretization is introduced to formulate the optimal model of fixturing layout with the objective of maximizing the fixturing stability margin. According to the fixturing stability of each generation, the evaluation function is defined for the fitness of the individual. Thus, the genetic algorithm can be skillfully developed to solve the optimal model of fixturing layout. Suboptimal of machining accuracy and surface quality are result of the clamping force deformed flexibility workpiece. Generally speaking, it is difficult to reveal the relationship between the multiple fixturing parameters and the clamping deformation of workpiece. Therefore, an optimal model of fixturing layout and its neural network bas