An integrated framework for optimizing sculptured surface CNC tool paths based on direct software object evaluation and viral intelligence
- Submitting institution
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Kingston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-009-1566
- Type
- D - Journal article
- DOI
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10.1007/s10845-017-1338-y
- Title of journal
- Journal of Intelligent Manufacturing
- Article number
- -
- First page
- 1581
- Volume
- 30
- Issue
- -
- ISSN
- 0956-5515
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- 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
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Sculptured surface machining is a widely used modern metal removal technique in various manufacturing industries with emphasis to bioengineering, aerospace, electronics, mould/die and automobile engineering. Machining parameter settings in producing CNC machines programs are currently based on the operators’ skills and expertise. The methodology developed is based on a two-fold intelligent framework that takes advantage of the open programming architecture of a cutting-edge CAM system and a newly developed virus-evolutionary genetic algorithm. This methodology has been applied in machining freeform aerospace part, to optimise several challenging benchmark cases, to validate its performance and establish technical significance in actual industrial applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -