scholarly journals Intelligent Process Planning System for End-milling Process (2nd Report)

2010 ◽  
Vol 76 (6) ◽  
pp. 658-662
Author(s):  
Masanori MUROZUMI ◽  
Keiji OGAWA ◽  
Heisaburo NAKAGAWA ◽  
Yoshiaki KAKINO
Author(s):  
Masanori MUROZUMI ◽  
Hidenori SARAIE ◽  
Yoshifumi FUJITA ◽  
Yoshiaki KAKINO ◽  
Atsushi MATSUBARA

2013 ◽  
Vol 423-426 ◽  
pp. 2855-2858 ◽  
Author(s):  
Hua Bing Ouyang

STEP-NC is an extension of STEP that defines a machine independent bi-directional data standard for Computerized Numerical Control (CNC) systems. A framework of an intelligent process planning system for milling based on STEP-NC is proposed. Four functional layers are involved in the software-based framework of STEP-NC intelligent process planning system. The intelligent technology, such as neural network, fuzzy logic and genetic algorithm, is utilized to generate and optimize the process route. The implementation of the purposed prototype system named ST-ICAPP is presented based on Solidworks. An example is given to demonstrate the feasibility and efficiency of the prototype system. As a result, this research shows a high potential to aid the development of new CAPP milling system.


Author(s):  
M. K. Muju ◽  
Kripa Shanker ◽  
P. K. Aherrao

Abstract This paper presents some details of design and implementation of a computerized process planning system for parts requiring milling operations. The interactive system uses generative approach of process planning. The system is capable of handling end milling, face milling and peripheral milling. The geometric programming technique is used for determining the optimal machining parameters. Emphasis is laid on the constraining equations used in the optimization model. The power equations are derived from basic metal cutting analysis. The cutter selection is automatic to some extent. The system outputs detailed process plans giving sequence of operations, optimal machining parameters, cost per piece and production rate.


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