ORNL与ARC启动AI铸造厂以强化美国国防供应链

Oak Ridge National Laboratory (ORNL) and New York-based startup Autonomous Resource Corporation (ARC) have formalized a Memorandum of Understanding to establish what they are calling the Exascale Foundry. This is a closed-loop system designed to bring AI-enabled manufacturing qualification and autonomous production to U.S. national security applications.

橡树岭国家实验室（ORNL）与纽约初创公司自主资源公司（ARC）正式签署谅解备忘录，共同打造名为”百亿亿次铸造厂”的闭环系统。该系统旨在将人工智能驱动的制造认证与自主生产引入美国国家安全应用领域。

The partnership pairs ORNL’s computational muscle and advanced manufacturing infrastructure with ARC’s ARCNet distributed production platform, creating an integrated pipeline from materials simulation to finished parts.

此次合作将ORNL的计算能力与先进制造基础设施，同ARC的ARCNet分布式生产平台相结合，构建从材料模拟到成品零件的完整生产管线。

“The United States faces an urgent need to rebuild its manufacturing capacity for critical defense components,” said Bryan Wisk, CEO of ARC. “By combining ORNL’s world-leading computational, materials science, and manufacturing capabilities with our autonomous production infrastructure, we can compress manufacturing and qualification timelines from years to months and deliver manufactured parts at the volumes the warfighter needs.”

“美国迫切需要重建关键国防部件的制造能力，”ARC首席执行官布莱恩·威斯克表示，”通过将ORNL世界领先的计算、材料科学和制造能力与我们的自主生产基础设施相结合，我们可以将制造和认证周期从数年缩短至数月，并以作战人员所需的数量交付制造部件。”

Under the agreement, ARC will deploy advanced manufacturing equipment across seven production nodes connected to ORNL through its secure ARCNet infrastructure. ORNL will contribute access to its high-performance computing resources for simulation-driven materials characterization, along with technologies developed at its Manufacturing Demonstration Facility, the Department of Energy’s only large-scale, open-access advanced manufacturing facility.

根据协议，ARC将在通过安全ARCNet基础设施与ORNL连接的七个生产节点部署先进制造设备。ORNL将提供其高性能计算资源用于模拟驱动材料表征，以及其制造示范设施开发的技术——这是能源部唯一的大型开放获取先进制造设施。

A key element of the integration is ORNL’s Peregrine AI software, which has analyzed over 1.9 million additive manufacturing layers and will be embedded into ARC’s production nodes for real-time adaptive control and quality assurance. The initial focus will be on high-temperature nickel superalloy turbine components for autonomous air vehicle engines, produced using metal binder jetting, targeting one of the more acute bottlenecks in the current U.S. defense supply chain.

整合的关键要素是ORNL的Peregrine人工智能软件，该软件已分析超过190万个增材制造层，将被嵌入ARC的生产节点用于实时自适应控制与质量保证。初期重点将聚焦于利用金属粘合剂喷射技术生产用于自主航空发动机的高温镍基高温合金涡轮部件，旨在解决当前美国国防供应链中最紧迫的瓶颈之一。

“ORNL’s advanced manufacturing and computing capabilities are uniquely positioned to help accelerate the transition of laboratory-proven technologies into production-scale defense manufacturing,” said Moe Khaleel, ORNL associate laboratory director for National Security Sciences. “Partnering with ARC ensures we are transitioning our research into real production outcomes.”

“ORNL的先进制造与计算能力具有独特优势，有助于加速将实验室验证技术转化为量产级国防制造，”ORNL国家安全科学副实验室主任莫·哈利勒表示，”与ARC合作确保我们的研究成果能转化为实际生产成果。”

The Exascale Foundry also connects to a broader federal initiative. The partnership supports DOE’s Genesis Mission, a national program aimed at building the world’s most powerful scientific platform to advance discovery, strengthen national security, and drive energy innovation. For ORNL, the collaboration represents a deliberate move to bridge the gap between research capability and real production outcomes.

百亿亿次铸造厂还对接了更广泛的联邦计划。此次合作支持了能源部的”起源任务”——一项旨在打造全球最强大科学平台以推动发现、加强国家安全并驱动能源创新的国家计划。对ORNL而言，此次合作代表着弥合研究能力与实际生产成果之间差距的深思熟虑之举。

“This partnership exemplifies the type of relationship necessary to build and grow domestic supply chains for our national security,” said ORNL Chief Manufacturing Officer Craig Blue.

“这种伙伴关系体现了构建和发展国家安全国内供应链所需的关系类型，”ORNL首席制造官克雷格·布鲁表示。

The core problem the Exascale Foundry is designed to solve is not printing, it is proving. At the AMUG 2025 Conference, Department of War officials highlighted bottlenecks in material qualification, digital workflow standardization, and throughput as the key limits preventing widespread use of additive manufacturing in mission-critical systems. The response from both the government and industry has been concrete. The DoD’s FY 2026 budget allocates $3.3 billion to projects involving additive manufacturing—an 83% increase from the $1.8 billion approved in FY 2025, with key initiatives including JAMA, now in phases I through IV.

百亿亿次铸造厂旨在解决的核心问题并非打印本身，而是认证环节。在AMUG 2025会议上，国防部官员指出材料认证、数字工作流标准化和产能瓶颈是限制增材制造在关键任务系统中广泛应用的关键因素。政府与行业的回应已十分明确。国防部2026财年预算为涉及增材制造的项目拨款33亿美元，较2025财年批准的18亿美元增长83%，其中关键举措包括已进入第一至第四阶段的JAMA计划。

For 3D printing enthusiasts and professionals, this move underscores how additive manufacturing is becoming a strategic pillar for national security. While the focus here is on defense, the same principles of AI-driven quality assurance and rapid qualification can be applied to commercial and hobbyist 3D printing. Whether you are prototyping aerospace components or crafting intricate art pieces, the demand for reliable, high-quality 3D printing models continues to grow. As industrial processes adopt smarter AI controls, the quality of premium STL files becomes even more critical for achieving consistent results.

对于3D打印爱好者和专业人士而言，此举标志着增材制造正成为国家安全领域的战略支柱。

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