Hybrid knowledge model of process planning and its green extension

The green process planning model was a necessary research field of the green manufacturing, which has drawn increasing attention from many scholars. This study proposes a multi-method [Backus---Naur Form (BNF) frame, binary tree,production rules, and objective-oriented methodology] hybrid frame model of process planning and reasoning mechanism. In this model, the hierarchical BNF frame was applied to modeling the structure of parts, the stages of process decisions and the existing green process indicators set. Then, two "procedure" programs were designed for the information exchange among the above models. This green-process planning model was proposed based on the traditional intelligent process planning model and was intended to introduce an overall (compared with the traditional partial green-process planning model) green-process decision mode. In the last section of this paper, a case study of the green-process planning for a stepped shaft is provided along with a number of essential knowledge models to illustrate the feasibility of this hybrid knowledge model.

[1]  Hua Zhang,et al.  Development of an environmental performance assessment method for manufacturing process plans , 2012 .

[2]  Gideon Halevi,et al.  Computer-aided process planning (CAPP) , 1995 .

[3]  Mitsuo Gen,et al.  An effective coding approach for multiobjective integrated resource selection and operation sequences problem , 2006, J. Intell. Manuf..

[4]  Ning Li-peng Intelligent information processing technology , 2012 .

[5]  Vivek Kumar Gupta,et al.  Operation sequencing using ant colony optimization technique , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[6]  Sankha Deb,et al.  GENERATION OF OPTIMAL SEQUENCE OF MACHINING OPERATIONS IN SETUP PLANNING BY GENETIC ALGORITHMS , 2012 .

[7]  A. Del Prete,et al.  Super-Nickel Orthogonal Turning Operations Optimization☆ , 2013 .

[8]  Peter Smith,et al.  An introduction to knowledge engineering , 1996 .

[9]  R. Venkata Rao,et al.  Multi-pass turning process parameter optimization using teaching–learning-based optimization algorithm , 2013 .

[10]  Qian Yi,et al.  Quantitative analysis of carbon emissions of CNC-based machining systems , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[11]  Xiaoyu Wen,et al.  Application of an efficient modified particle swarm optimization algorithm for process planning , 2013 .

[12]  Yan Li,et al.  Process planning optimization for parallel drilling of blind holes using a two phase genetic algorithm , 2013, J. Intell. Manuf..

[13]  P. Sheng,et al.  An analytical approach for determining the environmental impact of machining processes , 1995 .