| EPSRC Reference: |
GR/K48020/01 |
| Title: |
FEATURE RECOGNITION FOR CNC PART-PROGRAMMING |
| Principal Investigator: |
Corney, Professor J |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Mechanical & Chemical Engineering |
| Organisation: |
Heriot-Watt University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 March 1995 |
Ends: |
30 June 1998 |
Value (£): |
267,966
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| EPSRC Research Topic Classifications: |
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| EPSRC Industrial Sector Classifications: |
| Manufacturing |
Information Technologies |
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Summary on Grant Application Form |
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The new generation of solids-based machining packages allow mechanical parts, and the associated fixtures and clamps of a particular setup, to be defined by three-dimensional boundary models. This sophisticated representation allows better collision checking and more realistic visualization of the manufacturing process than older part-programming systems based on 2D profiles. However, although the overall functionality of NC part-programming systems has increased, human interaction is still required to define various parameters, such as the boundaries of the volumes to be machined and the depth of the cuts used to clear a particular area. The novelty of the proposed research stems from both the nature of the feature recognition algorithms which can be developed from the proposes' previous work and the way in which they will be used to enhance the productivity of CNC manufacturing. The projects goal is to aid, rather than automate, the process planning of machined components by developing the recognition capabilities of a commercial solids-based matching system (GNC-Solid) in such a way that the human engineer is left free to select the most appropriate profiles of volumes from a menu of those identified.This is analogous to the way speech recognition systems, or spelling checkers, offer the user a selection of possible interpretations rather a definitive one. In all these cases recognition of the precisely 'correct' answer (be it a feature, phrase or word) can best be judged by a human who understands the semantics of the pattern being recognized in relation to the ultimate goal.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.hw.ac.uk |