Optimisation of Process Planning System for Prismatic Parts
نویسندگان
چکیده
منابع مشابه
Process Planning for Prismatic Parts in Digital Manufacturing Udc:
The paper discusses the feature-based process planning in a digital manufacturing concept, for prismatic parts manufacturing. STEP standard as an enabler of feature-based manufacturing is presented in detail, along with belonging application protocols. The case study on the feature-based CAPP/CAM model in Serbian SME is shown to depict the advantages, followed by the research recommendations fo...
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This paper presents an intelligent process planning system using STEP features (ST-FeatCAPP) for prismatic parts. The system maps a STEP AP224 XML data file, without using a complex feature recognition process, and produces the corresponding machining operations to generate the process plan and corresponding STEP-NC in XML format. It carries out several stages of process planning such as operat...
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Purpose: This paper explores the capabilities of genetic algorithms in handling optimization of the critical issues mentioned above for the purpose of manufacturing process planning in reconfigurable manufacturing activities. Two modified genetic algorithms are devised and employed to provide the best approximate process planning solution. Modifications included adapting genetic operators to th...
متن کاملSequencing of interacting prismatic machining features for process planning
Today, feature-based process planning has been popular in academia and industry with its ability to rigorously integrate design and manufacturing. To date, research on feature sequencing is mainly focused on using expert systems or knowledge-based systems, geometric based approaches, unsupervised-learning or artificial neural network, and genetic algorithms. The approach presented in this paper...
متن کاملFeature Recognition and Datum Extraction for Setup Planning and Operation Sequencing for Prismatic Parts
An automated planning system extracts data from design models and processes it efficiently for transfer to manufacturing activity. Researchers have used face adjacency graphs and volume decomposition approaches which make the feature recognition complex and give rise to multiple interpretations. The present work recognizes the features in prismatic parts considering Attributed Adjacency Matrix ...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2001
ISSN: 1812-5654
DOI: 10.3923/jas.2001.309.316