Orthographic drawings still have an important role in the design and manufacture workflow. An important task for the designer is to determine the most suitable collection of views to represent a solid. Where complex artefacts are considered, and/or inexperienced users perform this task determining the possibility pf a set of views in which there exists ambiguity increases. To begin to address this issue, this paper outlines a method to recognise simple cases of indeterminate solid models, considering underrepresentation by deficiency and redundancy by superposition. The method employs multipartite graph and cellular modelling to deal with each case, and it has the potential to be fully automated within a CAD environment. Entities which are underdefined require more information to be fully defined can be identified.
CITATION STYLE
Rosso, P., Hicks, B., & Patterson, M. (2019). Orthographic drawings minting: testing for indeterminate solid models caused by underrepresentation. In Advances in Intelligent Systems and Computing (Vol. 809, pp. 1404–1413). Springer Verlag. https://doi.org/10.1007/978-3-319-95588-9_123
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