美国。国家标准与技术研究院（NIST）已颁发森佛尔, the largest online database of 3D printing systems and materials, a total sum of $99,946 for a project applying data analysis to additive manufacturing processes.
该项目的最终目标是开发一个工具，将增加整个美国工业中的添加剂制造的采用率，以认证的目的的材料表征等材料表征等熟化因素。雷电竞充值
Continuous learning
森佛尔’s project is titled “Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics.” For the project, Senvol will supply its machine learning software to analyse data input from NIST test studies and the institute’s Additive Manufacturing Benchmark Series. This input includes, according to the官方项目摘要, “in-situ monitoring data, microstructure data and non-destructive testing (NDT) data.”
因此，该项目将努力建立材料的过程结构性质关系。这将使制造商更容易分析它们的添加剂制造过程，从而更快地对3D印刷产品的资格更好地符合传统制造过程的速率。雷电竞充值
The power of data-driven machine learning
在项目结束时，森佛尔机器学习将集成到NIST的AM Materage Database（AMMD）中，以创建“连续”分析循环。
Yan Lu is a NIST Senior Research Scientist who will be working on the project with Senvol. According to Lu, “The work in this project will demonstrate the power of a data-driven machine learning approach for additive manufacturing process understanding and material characterization,”
“此外，Senvol将展示混合建模，由此基于物理的模型和数据驱动模型在一个框架下加入。
nist和senvol.创新
最近，森佛尔推出了类似的data-driven additive manufacturing project随着美国海军的海军研究办公室。公司也有加入了国家军备财团（NAC）在美国军事装备的“快速创新”中发挥作用。
NIST的其他添加剂制造研雷电竞充值究项目包括再生粉的特征及影响评估与Sigma Labs，以及发展Additive Manufacturing Metrology Testbed（ammt）。
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Featured image shows engineering drawing of the NIST test artifact for 3D printing. Image via NIST
