Publication2019
A numerical approach to measure the surface roughness of FDM build part
The record
- Type
- Publication
- Date
- 1 January 2019
- Level
- National
- Journal
- Materials Today Proceedings
- Volume
- 18
- Pages
- 5523-5529
- Published
- 1 January 2019
- DOI
- 10.1016/j.matpr.2019.07.659
- Scopus ID
- 85077621593
- ISSN
- 22147853
- Authors
- 4
- Open access
- No
- Citations
- 32
- 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
Fused deposition modeling surface roughness optimization using design of experiment represents industrial manufacturing 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
12 Ensure sustainable consumption and production patterns
Additive manufacturing process optimization reduces material waste through precise parameter control in 3D printing applications
- 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.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.2 Industry and manufacturing
Manufacturing process improvement supports industry and manufacturing through optimized additive manufacturing methodologies
- 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. “A numerical approach to measure the surface roughness of FDM build part”. Kortex.