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-le
โฆ LIBER โฆ
Process planning and machining sequence
โ Scribed by R. Meenakshi Sundaram
- Book ID
- 103732161
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 276 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0360-8352
No coin nor oath required. For personal study only.
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We describe a hybrid feature recognition method for machining features that integrates three distinct feature recognition methods: graph matching, cell-based maximal volume decomposition, and negative feature decomposition using convex decomposition. Each of these methods has strengths and limitatio