Publication2014
Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel
The record
- Type
- Publication
- Date
- 21 February 2014
- Level
- National
- Journal
- International Journal of Industrial Engineering Computations
- Volume
- 5
- Issue
- 2
- Pages
- 295-304
- Published
- 21 February 2014
- DOI
- 10.5267/j.ijiec.2013.11.001
- Scopus ID
- 84894039904
- ISSN
- 19232926
- Authors
- 1
- Open access
- Yes
- Citations
- 27
- 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
Taguchi optimization of coated carbide cutting tool performance with 98% regression model fit improves manufacturing process efficiency and industrial 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.
- 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 research for advanced machining represents research and development contribution to manufacturing.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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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. “Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel”. Kortex.