New Machine Learning Study Findings Have Been Reported from Worcester Polytechni c Institute (Part-scale Microstructure Prediction for Laser Powder Bed Fusion Ti -6al-4v Using a Hybrid Mechanistic and Machine Learning Model)
Worcester Polytechni C Institute报道了新的机器学习研究结果(使用混合力学和机器学习模型的激光粉末床熔合Ti-6al-4v的部分尺度显微结构预测)
New Machine Learning Study Findings Have Been Reported from Worcester Polytechni c Institute (Part-scale Microstructure Prediction for Laser Powder Bed Fusion Ti -6al-4v Using a Hybrid Mechanistic and Machine Learning Model)
Worcester Polytechni C Institute报道了新的机器学习研究结果(使用混合力学和机器学习模型的激光粉末床熔合Ti-6al-4v的部分尺度显微结构预测)
扫码查看
点击上方二维码区域，可以放大扫码查看
摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据消息来源来自马萨诸塞州伍斯特，B Y NewsRx记者，研究称，“激光粉末床聚变”(LPBF)Ti-6Al-4v广泛研究用于航空航天和医药工业的结构应用，但力学各向异性和显微组织的不均匀性阻碍了其广泛应用。尽管成功的微观结构预测模型已经开发出来，但仍然存在的挑战是它们的局限性跨越冷度/时间尺度的整合和实验研究的验证。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Worcester, Massachusetts, b y NewsRx correspondents, research stated, “Laser powder bed fusion(LPBF) Ti-6Al -4V is widely studied for use in structural applications in aerospace and medica l industries,but mechanical anisotropy and microstructural inhomogeneity prohib its its wider adoption. Althoughsuccessful microstructure prediction models hav e been developed, a remaining challenge is their limitedintegration across leng th/time scales and validation by experimental studies.”
Key words
Worcester/Massachusetts/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Wo rcester Polytechnic Institute
NETL
NSTL