An updated version of this program can be found at:
To develop and deploy measurement science that will enable rapid design-to-product transformation through advances in; material characterization; in-process process sensing, monitoring, and model-based optimal control; performance qualification of materials, processes and parts; and end-to-end digital implementation of Additive Manufacturing processes and systems.
This program addresses measurements and standards necessary to develop and deploy advances in measurement science that will enable rapid design-to-product transformation; material characterization; in-process process sensing, monitoring, and model-based optimal control; performance qualification of materials, processes and parts; and end-to-end digital implementation of Additive Manufacturing (AM) processes and systems. Reducing the barriers to widespread implementation and use of AM, such as process variability, fabrication speed, part accuracy, surface quality, and material properties will be a main goal of the program. The program will develop: standardized material characterization methods, exemplar data and databases to accelerate the design and use of AM parts; process metrology, sensing and control methods and algorithms to maximize part quality and production throughput in AM; test methods, protocols, and reference data to reduce the cost and time to qualify AM materials, processes, and parts; and an information systems architecture, including metrics, information models, and validation methods to shorten the design-to-product cycle time in AM. It is anticipated that this programmatic effort will facilitate: accelerated proliferation of AM parts in high-performance applications benefiting from AM's unique capabilities; improved quality and throughput for AM; rapid qualification of AM materials and processes leading to better understanding of AM and more confidence in AM products used in industry; and streamlined design-to-product transformations leading towards more accessible AM technologies for small and medium-sized companies, increasing industrial competitiveness.
What is the problem?
The U.S. produces approximately 18 percent of the world's manufactured goods and U.S. manufacturing accounts for about $6.5 trillion or 28 percent of national output. Manufacturing also represented about 16 percent of global GDP, 70 percent of global trade, and 45 million advanced economy jobs in 2010. A number of major trends are shaping the future of manufacturing. Among them are the increase in the variety of products and shorter product cycles required to meet customer needs; greater intelligence in product design and manufacturing; and growing importance of innovative products and services.
The President's Council of Advisors on Science and Technology (PCAST) in its 2011 report stated that the Federal Government can promote advanced manufacturing in the U.S. by focusing on three broad areas of opportunity: advancing new technologies, supporting shared infrastructure, and dramatically rethinking of manufacturing process. Rapid design-to-product transformation as an enabler for U.S. innovation and industrial competitiveness promotes such rethinking using new technologies such as Additive Manufacturing (AM).
AM refers to a class of emerging technologies for producing highly-complex, customized components by building up materials to make objects based on a three-dimensional (3D) computer model, typically built layer upon layer. Parts are fabricated directly from an electronic file representing the 3D part design that is virtually sliced into many thin layers and sent to an AM system where the layers are built up in sequence into a complete part.
Over the past two decades, several AM processes and systems have been developed and their capabilities have grown significantly – ranging from rapid prototyping of simple physical concept models to help in product design, to creation of one-of-a-kind patterns necessary for metal casting processes, and more recently to direct fabrication of functional end-use parts. While early AM systems produced parts primarily in polymer (plastic) materials, systems now exist that produce metal parts. Metal-based additive processes form parts by melting or sintering material in powder form until all layers are completed.
AM provides the agility needed to rapidly make innovative customized complex products and replacement parts that are not realizable by more traditional manufacturing technologies or are required to be produced in low volumes. It offers additional advantages, including reduced material waste, lower energy intensity, reduced time-to-market, and just-in-time production.
Several technical barriers exist, however, that prevent AM processes from reaching their full potential. The recent roadmapping activities for AM outline research recommendations in several areas to advance the industry and emphasize that the ability to achieve predictable and repeatable operations is critical. The issues with surface quality, part accuracy, fabrication speed, material properties, and computational requirements are significant barriers to and/or limitations for widespread implementation of AM processes throughout U.S. manufacturers. To mitigate these challenges, this program focuses on the problems associated with AM material characterization, real-time control of AM processes, qualification methodologies and system integration for AM.
What is the technical idea?
The program focuses on the lack of measurement science capabilities in four areas in AM:
What is the research plan?
The program focuses on four areas which are closely interrelated:
In the material characterization area, in order to extend the existing characterization methods for metal powders and mechanical properties of metal parts to AM materials and parts, the existing methods will be analyzed for applicability to AM and to the unique AM induced properties. In this process, dependence of AM part mechanical properties on the input powder properties will be empirically determined. Based on these analyses, new characterization methods for measuring properties of AM parts and powders will be developed. The program will then design and construct an AM materials database for high-fidelity material data and populate this database with exemplar data, garnered from round robin tests following the previously mentioned characterization methods.
In the real-time process control area, the program will first focus on innovative process metrology to provide traceable and quantitative data for validating process models, calibrating in-process sensors, and determining optimal process conditions. The program will establish metrics and test methods for assessing the performance of process metrology sensors and instruments. Validated physics-based models will be used to develop reduced-order analytical models for use in the development of real-time control algorithms. Both iterative open-loop control with post-process feedback and real-time closed-loop control approaches will be tested. Performance metrics for both types of control methods will be developed. To implement the real-time closed loop control algorithms, a small scale powder bed fusion testbed will be developed in collaboration with PML. This open architecture test bed will be used to incorporate various process metrology instruments and control systems as a validation platform.
In the process and product qualification area, the program will establish foundations for equivalence-based qualification of materials, processes, and parts used in AM by developing novel test methods and protocols for round robin testing, as well as generating trusted data for sharing among the AM stakeholders. To enable model-based qualification, validated process models are needed. The program will partner with industrial and academic researchers for developing high-fidelity multi-physics process models and provide them with trusted data to be used from model validation. Examples of trusted data include traceable emittance and temperature values of melt pool with known uncertainties. Validated temperature models will feed material models that predict AM material and part performance. Methods will be developed for integrating pre-process, in-process, and post-process measurements to demonstrate that a part will perform to specifications.
In the systems integration area, the program will address the end-to-end digital implementations of AM processes. Digital implementations will be systematically configured to replicate physical transformation processes with models and simulations. Informational transformations will be facilitated through standard interfaces. The program will develop and test a federated information systems architecture for AM. The architecture will specify the product requirements, the stages of the product realization process, and the interfaces needed to link those stages together. Common data structures and interfaces will be developed to enable streamlined integration of AM systems to lower the cost of development and use of these technologies.