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Parametric optimization of FSAM-Fabricated Al7075/Graphene/B4C hybrid composites using a Taguchi-ensemble machine learning framework

Research output: Contribution to journal › Article › peer-review

2 Scopus citations
Original languageEnglish
Pages (from-to)4062
Number of pages1
JournalScientific reports
Volume16
Issue number1
DOIs
StatePublished - 2 Jan 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Al7075
  • Boron carbide
  • Friction stir additive manufacturing
  • Gradient boosting
  • Graphene
  • Groove filling
  • Hybrid MMC

ASJC Scopus subject areas

  • General

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