Publication2019
Tribomechanical performance of glass–epoxy hybrid composites filled with marble powder with the Taguchi design and artificial neural network
The record
- Type
- Publication
- Date
- 1 January 2019
- Level
- National
- Journal
- Composites Mechanics Computations Applications
- Volume
- 10
- Issue
- 1
- Pages
- 17-38
- Published
- 1 January 2019
- DOI
- 10.1615/compmechcomputapplintj.2018024953
- Scopus ID
- 85062189394
- ISSN
- 21522057
- Authors
- 3
- Open access
- No
- Citations
- 5
- 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
Tribomechanical performance research on marble powder-filled epoxy composites using Taguchi optimization and artificial neural networks demonstrates material innovation.
- 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
Advanced materials research optimizing composite performance through waste filler utilization.
- 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. “Tribomechanical performance of glass–epoxy hybrid composites filled with marble powder with the Taguchi design and artificial neural network”. Kortex.