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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2012

Application of response surface method and fuzzy logic approach to optimize the process parameters for surface roughness in CNC turning

The record

Type
Publication
Date
23 July 2012
Level
National
Journal
IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012
Pages
47-52
Published
23 July 2012
Scopus ID
84863923100
Authors
3
Open access
No
Citations
2
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryModerate confidenceJudged

    Response surface methodology and fuzzy logic optimization for CNC machining parameters reduces surface roughness in precision manufacturing.

    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

Viksit Bharat @2047

  1. vb-2.2 Industry and manufacturing

    Sub-themePrimaryModerate confidenceJudged

    Manufacturing process optimization through statistical design of experiments and intelligent control advances industrial technology innovation.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Application of response surface method and fuzzy logic approach to optimize the process parameters for surface roughness in CNC turning”. Kortex.

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Application of response surface method and fuzzy logic approach to optimize the process parameters for surface roughness in CNC turning · Kortex