Title :
Process planning based on feature recognition method
Author :
Garcia, Fernando ; Lanz, Minna ; Järvenpää, Eeva ; Tuokko, Reijo
Author_Institution :
Dept. of Production Eng., Tampere Univ. of Technol., Tampere, Finland
Abstract :
Managing and controlling very complex manufacturing systems and vast volumes of accumulate knowledge, holonic manufacturing system is developed. This paper introduces a method, which utilizes feature-based modeling for defining a pre-process plan. The pre-process plan developed can be linked in a holonic system. This paper, the generic steps for making a product are called “pre-process plan”. The pre-process plan defines the required capabilities on a high level. All the resources have some sort of capability that represents the possible candidates for the product manufacturing. The feature recognition method offers geometric and non-geometric (such as shape, type, tolerance and material) information. Using feature information a pre-process plan can be defined. The fact that the pre-process plan does not strictly define the used processing methods allows the product to be manufactured on different machines based on their availability or other criteria. This is important in dynamic, adaptive production environment.
Keywords :
feature extraction; manufacturing systems; process planning; production engineering computing; adaptive production environment; feature based modeling; feature information; feature recognition method; holonic manufacturing system; manufacturing systems; preprocess plan; process planning; product manufacturing; Design automation; Manufacturing systems; Materials; Ontologies; Shape; Solid modeling; capability; feature-base modeling; holonic system; ontology; pre-process planning; resource description;
Conference_Titel :
Assembly and Manufacturing (ISAM), 2011 IEEE International Symposium on
Conference_Location :
Tampere
Print_ISBN :
978-1-61284-342-1
Electronic_ISBN :
Pending
DOI :
10.1109/ISAM.2011.5942296