摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据中国人民日报太原新闻报道，NewsRx记者的研究表明：“由于镁合金固有的六方碳损失堆积的(HCP)晶体结构，通过轧制或挤压过程容易产生强烈的基织构。镁合金织构的不均匀影响其冲压成形能力，限制了其在某些应用中的应用。”我们的新闻编辑从太原理工大学的研究中得到一句话：“微合金化和剪切变形是目前削弱镁合金织构最常用的方法，许多剪切过程已经被广泛研究，因为它们需要复杂的设备，难以实现批量生产。”摘要:微合金的设计研究已成为人们关注的焦点。传统的微合金试验方法面临着试验周期长、费用高等挑战。大数据和人工智能的快速发展为金属材料的高效发展开辟了一条新的途径。摘要:介绍了机器学习在镁合金设计中的应用。利用ML Mode Ling可以发现数据中特征和属性之间的相关性,为高性能镁合金的开发和设计提供了参考。本文对机器学习在镁合金设计中的应用进行了综述。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Taiyuan, People’s Repu blic of China, by NewsRx journalists, research stated, “Owing to the hexagonal c lose-packed (HCP) crystal structure inherent in Mg alloys, strong basal texture can readily be induced through the processes of rolling or extrusion. The anisot ropy of the texture of Mg alloys impacts their stamping and forming capabilities , limiting their use in certain applications.” Our news editors obtained a quote from the research from Taiyuan University of T echnology: “Microalloying and shear deformation are currently the most common me thods of weakening the texture of Mg alloys. Many shearing processes have been e xtensively studied, and given that they require complex equipment and make it di fficult to achieve mass production, major attention has turned to studying the d esign of microalloys. Traditional trial-and-error approaches for developing micr o-alloying confront many challenges, including longer test cycles and increasing expenses. The rapid advancement of big data and artificial intelligence opens u p a new channel for the efficient advancement of metallic materials, specificall y the application of machine learning to aid in the design of Mg alloys. ML mode ling can be used to find correlations between features and attributes in data, a llowing for the development and design of high-performance Mg alloys. The articl e provides an extensive overview of machine learning applications in Mg alloys.”
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