Oak Ridge National Laboratory (ORNL),大区域添加剂制造（BAAM）流程的共同开发者美国领先的技术研究机构之一已与Senvol添加剂制造数据库签署了为期两年的研究协议。
在合作中，ORNL将使用Senvol的标准操作程序（SOP）来评估数据收集的最佳流程，并将其应用于3D打印机原料材料的质量评估。
The “forefront of pedigreed data for additive manufacturing”
According to Ryan Dehoff，ORNL沉积科学和技术小组的小组负责人，“了解材料属性，机器选择和过程参数之间关系的重要性对于帮助行业从原型转变为工业部位至关重要”，并补充说：“ Senvol一直在用于增材制造的典型数据的最前沿。”
Senvol’s 3D printing data generation pedigree has been earned independently and作为美国的黄金成员。Now the most comprehensive database of its kind, Senvol catalogs information on over 550 additive manufacturing machines and above 700 compatible materials.
这种理解对于ORNL的加法创新将是无价的，到目前为止美国军方的第一批3D印刷潜艇， 和3D printed magnets that outperform convention.
鼓励“更快的部署”清洁器3D技术
“Oak Ridge is renowned for having world-class expertise in additive manufacturing, and so we’re very excited to work with them on this project,” said Senvol President Annie Wang, “[the] data generated during the project will be input into Senvol’s data structure in order to perform preliminary machine learning and data analysis.”
Senvol’s SOP will help develop a computational tool that can rapidly analyze and understand new materials and how they will work with a 3D printer. Properties taken into consideration include the材料的颗粒微叠打印前后，以及处理所需的输入。
办公室支持的能源效率和Renewable Energy Advanced Manufacturing Office at the U.S. Department of Energy (DoE) the project’s focus will be on the development of materials for clean energy products.
Wang concludes, “The results of this project will be used to complement physics based models of additive manufacturing systems and therefore lead to more rapid understanding of new materials and faster deployment of the technology.”
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特色图像：位于田纳西州橡树岭的橡树岭国家实验室的入口。通过田纳西大学的照片
