Layered design of manufacturing setup planning based on manufacturing resources capability

To develop generative Computer Aided Process Planning (CAPP), automatic generation of manufacturing setup planning in CAPP was studied. Based on the extended directed graphics, the mathematical model to describe the tolerance information as well as datum-machining feature relationship was constructed. Algorithm to automatically generate setup planning was established by means of tolerance analysis and manufacturing resources capability model. This algorithm could identify the machining features and datum to optimize setup groups based on the manufacturing resources capability and tolerance analysis. It also minimized the influence of the locating error stack-up on the machining quality. Finally, a case study of setup planning was presented to verify the feasibility of the method.