Publication2016
Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis
The record
- Type
- Publication
- Date
- 1 March 2016
- Level
- National
- Journal
- Engineering Science and Technology an International Journal
- Volume
- 19
- Issue
- 1
- Pages
- 62-70
- Published
- 1 March 2016
- DOI
- 10.1016/j.jestch.2015.07.010
- Scopus ID
- 84991861499
- ISSN
- 22150986
- Authors
- 2
- Open access
- Yes
- Citations
- 218
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
H-11 die steel electro-discharge machining parameter optimization using TOPSIS and grey relational analysis demonstrates advanced precision manufacturing research methodology.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Process optimization techniques for powder mixed EDM advance manufacturing research capacity and industrial precision technology.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis”. Kortex.