Towards In-Situ Qualification of Additively Manufactured Parts: Real Time Monitoring and Intelligent Intermittent Control of Laser Powder-Bed Fusion Additive Manufacturing

附加制造(AM)，即三维(3D)打印，是一种先进的制造技术，预计将在2030年前给全球制造业带来革命性的变化。AM能够制造具有优异机械性能的复杂形状，由于在过去十年中的指数级进步，AM有望超越小批量原型制造，成为合法的系列化和大规模生产平台。 拟议的研究计划旨在推进激光粉床融合(LPBF)，这是一种AM，扫描激光选择性地熔化材料床上的粉末颗粒。由于其通用性和灵活性，这项技术对工业非常有吸引力。然而，存在着重大挑战，如复杂的支配物理的存在，100多个独立的过程参数，从监测设备流出的非常大的数据集，以及文献中缺乏关于质量保证算法的信息。与所有传统制造技术一样，质量保证程序/工具对于帮助制造商对AM制造的部件进行质量管理和认证至关重要。这代表着AM研究和开发方面的一个严重差距，也是广泛采用的瓶颈。 我对AM研究的长期愿景包括为LPBF开发可靠的监控、高速质量保证和闭环实时控制系统，这些系统可用于建立“即建即证”战略。为此，拟议的研究计划将为LPBF开发一个创新的质量保证平台；不仅是为了解决LPBF中现有的挑战，还将通过加速AM技术在批量生产中的采用的整体方法来促进变革性研究。它还将促进对研究人员的世界级培训，提高他们在AM多学科领域所需的理论和实践工程技能 这项建议的短期目标是：i)开发高保真、高速的分析/实验模型；ii)增强用于表征过程特征的高级连续和过程间歇监测能力；iii)开发基于智能的采样策略，以从大数据流中收集丰富的数据；iv)开发实时检测算法，作为过程估计器，将信号输出与实际缺陷相关联；以及v)开发高级连续和过程间歇控制器，以补偿疏松缺陷、分层和残余应力等缺陷。 这项变革性的研究将显著提升加拿大在这一先进制造技术前沿领域的竞争力和创新能力。行业需要在其业务计划/产品中采用AM，这是全球性的和迫切的，因此拟议的计划具有为国内和出口市场提供新的尖端技术的强大潜力。

Additive manufacturing (AM), (i.e., 3-dimensional (3D) printing), is an advanced manufacturing technology slated to revolutionize the global manufacturing industry by 2030. AM enables the manufacturing of complex shapes with superior mechanical properties and, owing to exponential advancements in the last decade, promises to move beyond low volume prototyping towards becoming a legitimate serial and mass production platform. The proposed research program aims to advance laser powder-bed fusion (LPBF), a class of AM, in which a scanning laser selectively melts powder particles on a material bed. This technology is extremely attractive for industry due to its versatility and flexibility. However, significant challenges exist such as the existence of complex governing physics, more than 100 independent process parameters, very large data sets streaming from monitoring devices, and a lack of information on quality assurance algorithms in the literature. Like all conventional manufacturing techniques, quality assurance procedures/tools are paramount to aiding manufacturers in the quality management and certification of AM-made parts. This represents a critical gap in AM research and development and is a bottleneck for widespread adoption. My long-term vision for AM research encompasses development of reliable monitoring, high-speed quality assurance, and closed-loop real-time control systems for LPBF that can be used towards establishing a “Certify-as-you-build” strategy. To this end, the proposed research program will develop an innovative quality assurance platform for LPBF; not only to address the existing challenges in LPBF, but also to foster transformative research through a holistic approach that accelerates AM technology adoption in serial production. It will also promote the world-class training of research personnel, enhancing their theoretical and practical engineering skills required for the multidisciplinary area of AM. The short-term objectives of this proposal are: i) Development of high-fidelity, high-speed analytical/experimental models; ii) Enhancement of advanced continuous and process intermittent monitoring capabilities for characterizing process signatures; iii) Development of intelligent based sampling strategies to collect rich data from big data streams; iv) Development of real-time detection algorithms as process estimators to correlate signal outputs to actual defects; and v) Development of advanced continuous and process-intermittent controllers to compensate for defects such as porous defects, delamination, and residual stress. This transformative research will significantly enhance Canada's competitiveness and innovation capacity in this cutting-edge area of advanced manufacturing technology. The industrial need to adopt AM into their business plans/products is global in scale and urgent, thus the proposed program has strong potential to provide new leading-edge technologies for domestic and export markets.