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May 16, 2026Scientific ReportsOpen Access

Optimizing material and process parameters in laser engineered net shaping using liquid neural networks

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Authors

HTHaijiang TianISIsmail SaadTCTianshu Chen

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Overview

Randomized trial demonstrates improved microhardness and process efficiency in additive manufacturing, suggesting potential for advanced applications.

Key Points

  • This research aims to enhance quality measures in laser engineered net shaping through optimized material and process parameters.
  • Multi-objective optimization of material and process parameters
  • Evaluation of quality measures including microhardness and dilution
  • Testing on key quality measures exceeding 0.9 for performance
  • Microhardness increased by 12.5%
  • Dilution reduced by 18%
  • Cladding consistency achieved CUI = 0.97

Cite This Study

Tian et al. (2026) studied this question.

synapsesocial.com/papers/6a0808ffa487c87a6a40b1d0https://doi.org/10.1038/s41598-026-52507-6
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