Research on the intelligent process planning technology based on STEP-NC
STEP-NC has the characteristics of workingsteps, which can be used easily in the intelligent CNC machining system. Based on the characteristics of STEP-NC data structure, an intelligent process planning system is presented in this paper. Geometric information translation, feature information extraction, process planning, STEP-NC file generation are all involved. The lexical analysis of the AP203 files, and the translation from AP203 to geometric information database are also studied. The proposed system maps a STEP AP224 data file, without using a complex feature recognition process, and produces the corresponding machining operations to generate the process plan and the corresponding STEP-NC file. The system carries out several stages of process planning such as operations selection, tool selection, machining parameters determination, machine tools selection and setup planning. A hybrid approach of most recent techniques (neural networks, fuzzy logic and rule-based) of artificial intelligence is used as the inference engine of the developed system. An example part is tested and the corresponding process plan is presented to demonstrate and verify the proposed intelligent CAPP system.
STEP-NC Intelligent Machining Process Planning Neural networks Fuzzy logic
Shen Bin Ouyang Hua-bing
Department of Sino-German ofTongjiUniversity Tongji University Shanghai, China Department of Mechanical Engineering Tongji University Shanghai, China
国际会议
重庆
英文
221-225
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）