A multi-objective tool path optimization methodology for sculptured surfaces based on experimental data and heuristic search
- Submitting institution
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Kingston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-010-2025
- Type
- C - Chapter in book
- DOI
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- Book title
- Digital manufacturing and assembly systems in industry 4.0
- Publisher
- CRC Press
- ISBN
- 9781138612723
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2020
- URL
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
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- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Proposed new method of optimizing sculptured surface tool paths by modifying them after their generation from CAM systems. This allows the entire surface and its geometrical properties all together so that a meta-heuristic sequentially retrieve major attributes and exchange data with CAM software, until criteria is met. Key entities constituting the tool path, such as cutter location data, are examined along with their corresponding topology in terms of tool positioning vectors, which determine also the effective cutting shapes the tool will have in each point. A multi-objective optimisation problem is formulated to be heuristically solved using a virus-evolutionary algorithm.
- Author contribution statement
- -
- Non-English
- No
- English abstract
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