Publication2017
Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis
The record
- Type
- Publication
- Date
- 3 July 2017
- Level
- National
- Journal
- Machining Science and Technology
- Volume
- 21
- Issue
- 3
- Pages
- 362-384
- Published
- 3 July 2017
- DOI
- 10.1080/10910344.2017.1283957
- Scopus ID
- 85016082129
- ISSN
- 10910344
- Authors
- 2
- Open access
- No
- Citations
- 77
- 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 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Multi-response optimization of powder mixed electro-discharge machining parameters demonstrates manufacturing process innovation and industrial technology advancement.
- 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.
- 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-2.2 Industry and manufacturing
Manufacturing process optimization for precision steel machining directly supports industrial capability and manufacturing advancement.
- 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-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis”. Kortex.