人工智能在复合材料中的应用:调查

IF 9.7 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ercüment Öztürk, Ayfer Dönmez Çavdar, Tuğrul Çavdar
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引用次数: 0

摘要

众所周知,原材料资源已经到了枯竭的地步。因此,寻找替代资源变得越来越普遍。唯一可被视为原材料替代品的产品就是复合材料。随着复合材料在工业领域应用的增加,有关提高复合材料质量和降低生产成本的研究近来备受关注。以个人经验为基础的实验研究如今已被信息技术取代。因为信息技术是一种很好的方法,可以解决实验研究过程中质量低、时间长和成本高的问题。在这种情况下,人工智能技术有可能提供更好的解决方案和结果。在本次调查中,我们对使用人工智能技术的复合材料进行了文献综述。我们主要关注人工智能技术的基础及其在复合材料领域的优势。因此,通过信息技术方法生产复合材料可以提高质量、降低生产成本并简化实验生产流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial Intelligence Applications in Composites: A Survey

Artificial Intelligence Applications in Composites: A Survey

It is known that raw material resources have reached the point of depletion. Therefore, the search for alternative sources is becoming more and more common. The only product that can be considered as an alternative to raw material sources is composites. With the increase in its use in the industrial fields, studies in relation to increasing the quality of composites and reducing the production cost have recently gained attention. Experimental studies based on personal experience have now left their place to Information Technologies. Because IT is a good approach that can provide a solution to the improvement of low quality, long timeframes, and high cost in the experimental studies process. In this context, Artificial Intelligence technologies have the potential to provide better solutions and results. In this survey, a literature review on composites using AI technology was conducted. We have mainly focused on the foundations of the AI technology and its advantages in the field of composites. Consequently, it has been seen that the production of composites via IT approaches increases the quality, reduces the production costs, and abridges the experimental production process.

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来源期刊
CiteScore
19.80
自引率
4.10%
发文量
153
审稿时长
>12 weeks
期刊介绍: Archives of Computational Methods in Engineering Aim and Scope: Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication. Review Format: Reviews published in the journal offer: A survey of current literature Critical exposition of topics in their full complexity By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.
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