Publication2016
Investigations on surface quality characteristics with multi-response parametric optimization and correlations
- Industry, Innovation and Infrastructure
- Responsible Consumption and Production
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 1 June 2016
- Level
- National
- Journal
- Alexandria Engineering Journal
- Volume
- 55
- Issue
- 2
- Pages
- 1625-1633
- Published
- 1 June 2016
- DOI
- 10.1016/j.aej.2016.02.008
- Scopus ID
- 84978138067
- ISSN
- 11100168
- Authors
- 3
- Open access
- Yes
- Citations
- 40
- 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
9.2 Promote inclusive and sustainable industrialization and raise industry’s share of employment and GDP
Multi-response optimization for hard machining surface quality using Taguchi method and weighted principal component analysis advances manufacturing technology
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- 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
12.4 Achieve environmentally sound management of chemicals and all wastes throughout their life cycle
Surface quality optimization reduces material waste and improves resource efficiency in manufacturing processes
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Multi-response optimization for hard machining surface quality using Taguchi method and weighted principal component analysis advances manufacturing technology
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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KIIT Deemed to be University. “Investigations on surface quality characteristics with multi-response parametric optimization and correlations”. Kortex.