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Automatic Narrow-Deep Feature Recognition for Mould Manufacturing

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Abstract

There usually exist narrow-long-deep areas in mould needed to be machined in special machining. To identify the narrow-deep areas automatically, an automatic narrow-deep feature (NF) recognition method is put forward accordingly. First, the narrow-deep feature is defined innovatively in this field and then feature hint is extracted from the mould by the characteristics of narrow-deep feature. Second, the elementary constituent faces (ECF) of a feature are found on the basis of the feature hint. By means of extending and clipping the ECF, the feature faces are obtained incrementally by geometric reasoning. As a result, basic narrow-deep features (BNF) related are combined heuristically. The proposed NF recognition method provides an intelligent connection between CAD and CAPP for machining narrow-deep areas in mould.

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Correspondence to Zheng-Ming Chen.

Additional information

Supported by the National Natural Science Foundation of China under Grant No. 61073066, and the National High Technology Development 863 Program of China under Grant No. 2008AA04Z115.

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Chen, ZM., He, KJ. & Liu, J. Automatic Narrow-Deep Feature Recognition for Mould Manufacturing. J. Comput. Sci. Technol. 26, 528–537 (2011). https://doi.org/10.1007/s11390-011-1152-5

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  • DOI: https://doi.org/10.1007/s11390-011-1152-5

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