ABSTRACT

Environmental implication is a key concern while utilizing the conventional synthetic polymers for composite applications. Biodegradable/biocompatible/natural polymeric materials can potentially resolve this issue by strategic replacement of traditional polymeric counterparts. Auxiliary to materials selection, the processing techniques has an essential role to influence the composite performance. Advanced additive manufacturing techniques have advantages over conventional polymer processing techniques due to their proficiency to print complex parts which can conform to intricate shape, minimize wastage, rapid prototyping and ease of product translation. Improved 3D printing such as powder based methods has been demonstrated to fabricate biocompatible parts like tooth implants.

The current article includes the review on additive manufacturing techniques for the development of biocomposites, and further utilization of artificial intelligence (AI) in 3 D printing technologies. This review highlights how AI techniques such as machine learning and deep learning, supports efficiency and easy processibility of additive manufacturing methods for biocomposite development.

摘要

在将传统合成聚合物用于复合材料应用时，环境影响是一个关键问题。生物可降解/生物相容/天然聚合物材料可以通过战略性地替代传统的聚合物对应物来潜在地解决这个问题。作为材料选择的辅助手段，加工技术对影响复合材料的性能起着至关重要的作用。先进的增材制造技术优于传统的聚合物加工技术，因为它们能够熟练地打印复杂的零​​件，这些零件可以符合复杂的形状、最大限度地减少浪费、快速原型制作和易于产品转换。改进的 3D 打印（例如基于粉末的方法）已被证明可以制造生物相容性部件，例如牙齿植入物。

当前文章包括对用于开发生物复合材料的增材制造技术的回顾，以及人工智能 (AI) 在 3D 打印技术中的进一步利用。这篇综述强调了机器学习和深度学习等人工智能技术如何支持增材制造方法的效率和易加工性，以促进生物复合材料的开发。