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Senvol将使用国防部资金来推进其ML 3D打印软件

Additive manufacturing data specialist Senvol is set to develop itsSenvol ML在美国国防部(DOD)的新资金之后,具有“其他功能”的机器学习软件具有“其他功能”。

Senvol ML最初是在2019年11月发射的海军研究办公室(ONR)。美国海军和美国空军都提供了新资本,例如ONR等组织海军系统司令部(navsea),Naval Air Systems Command(Navair)和空军研究实验室(AFRL). The size of the deal and the specifics of the software developments remain undisclosed.

“我们对几个国防部伙伴的持续支持感到非常兴奋,” Senvol总裁Annie Wang说。“我们的集体目标是使组织能够快速表征或合格添加剂制造材料和流程。我们正在开发的新功能非常引人注目,并将增强Senvol ML软件现有的功能套件。”

The US Air Force is using Senvol's AM software to optimize the settings of EOS 3D printers for producing aerospace parts. Image via Mikayla Heineck, US Air Force.
美国空军以前曾使用Senvol的ML软件来优化SLM的航空航天组件。通过美国空军Mikayla Heineck的照片。

What is Senvol ML?

Senvol MLis a proprietary data-driven machine learning software that can be used to analyze the relationships between 3D printing process parameters and the performance of a material. By simply providing a target mechanical performance, users can automatically generate an optimized set of 3D printer-specific process parameters, eliminating the need for trial and error while significantly saving both time and costs.

借助航空航天,国防,石油和天然气,医疗和汽车部门的用户,Senvol ML可用于分析来自任何系统,任何过程和任何材料的增材制造数据。该计划最终帮助公司以更快的方式来表征和限定其材料和3D打印过程。除了过程参数优化外,该软件还可以预测材料属性,从过程监视数据中生成洞察力,并最大程度地减少数据生成成本。

系统的核心是模块化的ICME(集成计算材料工程)框架。该框架将添加剂数据分类为四个不同的模块:过程参数,材料属性,过程签名和机械性能。量化四个模块之间关系的算法是软件的功能。

Senvol ML的示例分析 - 不锈钢粉末和激光粉床融合。图像通过Senvol。
An example analysis from Senvol ML – stainless steel powder and laser powder bed fusion. Image via Senvol.

武装部队基于ML的3D打印

自然,国防部已经对Senvol的ML软件进行了大量投资,并且在过去一年中已将该计划用于许多应用程序。11月,US Army Research Laboratory(支持)授予公司的合同很快就会回来的l see Senvol ML used to design and qualify3D printed components for use on missiles. As part of the project, Senvol will use its expertise to develop a flexible ‘qualification plan’ for the Army, ultimately reducing manufacturing costs and lead times.

王说:“速度的显着提高将使陆军能够通过解锁AM提供的全部变革潜力来支持战士准备。”

Elsewhere, the Air Force has also previously used Senvol ML to produce large-scale多激光EOS SLM 3D打印机上的航空航天零件. Initiated last summer, the project was focused on developing baseline mechanical properties and design allowables in a bid to optimize the production of end-use aircraft components.

杰西卡·奥尔(Jessica Orr),计划经理代顿大学研究所(UDRI), a project partner, added, “AM has recently demonstrated the ability to rapidly deliver complex geometries and production quality parts that are able to enhance the capabilities of DoD weapons systems. In this collaborative program we are developing and demonstrating a methodology to use a new multi-laser AM printer to produce airworthy, end-use parts.”

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特色图片显示了美国空军飞机的舰队。通过美国空军Mikayla Heineck的照片。