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Updated: May 5, 2026

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机器学习启用优化和预测3D打印填充米皮生物炭的PLA复合材料的机械性能

Borhen Louhichi1, Joy Djuansjah2, P S Rama Sreekanth3

  • 1Engineering Sciences Research Center (ESRC), Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia.

Polymers
|February 27, 2026
PubMed
概括

米生物炭 (RHBC) 增强了用于3D打印的聚乳酸 (PLA) 复合材料. 优化和机器学习确定了改善机械性能的关键参数,为各种行业创造了可持续的材料.

关键词:
通过3D打印打印3D打印.这是一个ANOVA.这就是为什么CCD是CCD,CCD是CCD.机器学习是机器学习.米皮生物炭 (RHBC) 是一种生物炭.

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