Foundations of decomposition for manufacturing geometrical products
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 93
- Type
- D - Journal article
- DOI
-
10.1088/2051-672X/aac44e
- Title of journal
- Surface Topography: Metrology and Properties
- Article number
- 034011
- First page
- -
- Volume
- 6
- Issue
- 3
- ISSN
- 2051-672X
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The definition of decomposition presented here is novel and has proved to be of universal utility. This pioneering paper is significant in that it extends decomposition from being purely numerical to anything that forms a lattice. This includes semantic languages and models of the real world that the semantic language describe, with tremendous importance for new approaches to AI based on the structure of information. In particularly smart automatous manufacturing, underpinning quality, and productivity. It has formed the basis of the EPSRC Fellowship EP/R024162/1; with industry support from: Taylor Hobson, Renishaw, NPL, Royal National Orthopaedic Hospital and OCF data limited.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
