Publication2026
Data-Driven and Experimentally Validated Framework for Process Assurance, Machining Reliability and Surface Integrity in Tailored Heat-Treated Ni-Cr–Mo Steel Alloy Systems
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Journal of Advanced Manufacturing Systems
- Published
- 1 January 2026
- DOI
- 10.1142/s0219686727500545
- Scopus ID
- 105033018273
- ISSN
- 02196867
- Authors
- 4
- Open access
- No
- Citations
- 0
- 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
12 Ensure sustainable consumption and production patterns
Sustainable machining reduced energy consumption 34% and CO2 emissions 31% with improved surface integrity and reduced environmental impact.
- 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
7 Ensure access to affordable, reliable, sustainable and modern energy for all
Machine learning optimization for power-efficient machining processes directly reduces energy consumption and supports clean energy practices.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Data-driven sustainable manufacturing framework demonstrates green economy and climate-resilient industrial innovation and process assurance.
- 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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Provenance
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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. “Data-Driven and Experimentally Validated Framework for Process Assurance, Machining Reliability and Surface Integrity in Tailored Heat-Treated Ni-Cr–Mo Steel Alloy Systems”. Kortex.