Journal
ENGINEERING WITH COMPUTERS
Volume 36, Issue 2, Pages 511-526Publisher
SPRINGER
DOI: 10.1007/s00366-019-00710-7
Keywords
Automatic feature recognition; Volume decomposition; Regular-freeform revolved surfaces; Part model complexity; Computer-aided process planning (CAPP)
Funding
- Ministry of Higher Education Malaysia
- Universiti Sains Malaysia under the Fundamental Research Grant Scheme (FRGS) [6071227]
- Universiti Sains Malaysia under Exploratory Research Grant Scheme (ERGS) [6730015]
- Universiti Teknologi MARA
- Universiti Sains Malaysia [811186, 814247]
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Vast research works implementing feature-based technology have successfully been devoted. However, work on recognition of revolved regular-freeform surfaces is still inadequate due to its complex geometrical properties and topologies resulting lack of its physical significance. This paper presents a new method for recognising both regular and freeform revolved surfaces part model and generates its sub-delta volume using the volume decomposition method. To map the recognised sub-delta volume and respective machining process, part model complexity (PMC) is introduced. Generated sub-delta volumes are classified into three types of revolved surfaces excluding internal features. Sub-delta volumes are generated based on the machining process of roughing and finishing by offsetting the recognised faces. Internal features are de-featured by revolving respective sectioned faces. Differences of the overall delta volume (Delta ODV) were calculated and verifications of the proposed PMC were done and presented.
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