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November 21, 2025Journal of Manufacturing Science and Engineering

A meta-learning based surface roughness prediction during SiCp/Al composites machining

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Authors

YYYU Yue-yuXZXiao-Ming ZhangHDHan Ding

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Overview

Meta-learning enhances surface roughness prediction in metal matrix composites, suggesting improved machining quality.

Key Points

  • Surface roughness prediction improved through the use of a novel predictive model that utilizes surface images.
  • The proposed model accurately links surface features to roughness parameters with a focus on sample size adaptability.
  • Employing a meta-learning approach with prototypical networks enables efficient classification of features despite limited data.
  • This technique underscores the potential for better surface quality in industrial settings using advanced predictive modeling.

Cite This Study

Yue-yu et al. (2025) studied this question.

synapsesocial.com/papers/6924e3ecc0ce034ddc34ed64https://doi.org/10.1115/1.4070450
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  1. 1A Meta-Learning Based Surface Roughness Prediction During SiCp/Al Composites Machining2025
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