The Manufacturing and Materials Joining Innovation Center (Ma2JIC) develops advanced manufacturing technology associated with materials joining and metal additive manufacturing. Research projects use a mix of computational and experimental tools to achieve objectives and meet the needs of its broad-based industrial membership. Ma2JIC’s mission is to advance the science and technology of advanced manufacturing as it applies to materials joining and metal additive manufacturing (printing). The goals are to: Develop scientifically based methodologies for assessing material weldability and printability that span nanometer (nm) to millimeter (mm) length scales. Close the gap between materials innovation and manufacturability. Develop experimental and computational tools for materials joining and advanced manufacturing. Develop a new generation of materials joining and additive manufacturing engineers and scientists. Materials joining and additive manufacturing are important aspects of advancing manufacturing, particularly in the context of incorporating advanced materials into the manufacturing of new products. Issues arise where the application of new materials (including printed) have been limited, or precluded, by an inability to join them. A basic problem on the path from development to implementation is the lack of a structured, scientifically based methodologies for determining material weldability and printability. The concept of weldability/printability occurs at the intersection of the joining/printing process and the materials’ response to the thermal and mechanical conditions that are imposed by the processes. Considering the diverse need for materials in virtually every industry segment, it is critical to develop scientific methodologies to join and print these materials.
Research Areas
Additive manufacturing/process development and control
Ma2JIC promotes innovation and development in additive manufacturing and joining processes. Areas of interest and focus: metal additive manufacturing, brazing, advanced arc welding, solid-state joining, sensors, process monitoring and control, and the use of machine learning and artificial intelligence to improve these processes.
Material and joint performance
Ma2JIC’s focus is on the understanding and optimization of welded/printed materials performance when exposed to industry service environments. Assess using a multitude of variables including: material composition, welding/printing process and techniques, and service conditions. Dynamic material performance includes examination of the effects of strain, fatigue, and corrosion. Includes validation and development of models based on experimental results. The goal is to optimize materials, welding, and printing solutions, as well as the code requirements governing industry.
Metallurgy/microstructure/weldability
The goal is to develop a better understanding of the fundamentals associated with failure mechanisms; create new and revolutionary ways to quantify the material weldability/printability and seek standardization; study the interconnected effects of microstructure, thermo-mechanical history and composition on weldability/printability; explore real-time nondestructive testing techniques to monitor joints and printed components; and have a better understanding of long-term predictability of joints and printed materials.
Process and materials modeling
Ma2JIC researches the development and deployment of computational models that can provide a comprehensive understanding of microstructure and performance of joints and printed materials/components, as a function of joining/printing processes and process parameters. Models are also being developed to support materials innovation and predict performance under challenging conditions.
Facilities & Resources
Partner Organizations
Abbreviation |
Ma2JIC
|
Country |
United States
|
Region |
Americas
|
Primary Language |
English
|
Evidence of Intl Collaboration? |
|
Industry engagement required? |
Associated Funding Agencies |
Contact Name |
Antonio J. Ramirez
|
Contact Title |
Center Director
|
Contact E-Mail |
ramirez.49@osu.edu
|
Website |
|
General E-mail |
|
Phone |
|
Address |
The Manufacturing and Materials Joining Innovation Center (Ma2JIC) develops advanced manufacturing technology associated with materials joining and metal additive manufacturing. Research projects use a mix of computational and experimental tools to achieve objectives and meet the needs of its broad-based industrial membership. Ma2JIC’s mission is to advance the science and technology of advanced manufacturing as it applies to materials joining and metal additive manufacturing (printing). The goals are to: Develop scientifically based methodologies for assessing material weldability and printability that span nanometer (nm) to millimeter (mm) length scales. Close the gap between materials innovation and manufacturability. Develop experimental and computational tools for materials joining and advanced manufacturing. Develop a new generation of materials joining and additive manufacturing engineers and scientists. Materials joining and additive manufacturing are important aspects of advancing manufacturing, particularly in the context of incorporating advanced materials into the manufacturing of new products. Issues arise where the application of new materials (including printed) have been limited, or precluded, by an inability to join them. A basic problem on the path from development to implementation is the lack of a structured, scientifically based methodologies for determining material weldability and printability. The concept of weldability/printability occurs at the intersection of the joining/printing process and the materials’ response to the thermal and mechanical conditions that are imposed by the processes. Considering the diverse need for materials in virtually every industry segment, it is critical to develop scientific methodologies to join and print these materials.
Abbreviation |
Ma2JIC
|
Country |
United States
|
Region |
Americas
|
Primary Language |
English
|
Evidence of Intl Collaboration? |
|
Industry engagement required? |
Associated Funding Agencies |
Contact Name |
Antonio J. Ramirez
|
Contact Title |
Center Director
|
Contact E-Mail |
ramirez.49@osu.edu
|
Website |
|
General E-mail |
|
Phone |
|
Address |
Research Areas
Additive manufacturing/process development and control
Ma2JIC promotes innovation and development in additive manufacturing and joining processes. Areas of interest and focus: metal additive manufacturing, brazing, advanced arc welding, solid-state joining, sensors, process monitoring and control, and the use of machine learning and artificial intelligence to improve these processes.
Material and joint performance
Ma2JIC’s focus is on the understanding and optimization of welded/printed materials performance when exposed to industry service environments. Assess using a multitude of variables including: material composition, welding/printing process and techniques, and service conditions. Dynamic material performance includes examination of the effects of strain, fatigue, and corrosion. Includes validation and development of models based on experimental results. The goal is to optimize materials, welding, and printing solutions, as well as the code requirements governing industry.
Metallurgy/microstructure/weldability
The goal is to develop a better understanding of the fundamentals associated with failure mechanisms; create new and revolutionary ways to quantify the material weldability/printability and seek standardization; study the interconnected effects of microstructure, thermo-mechanical history and composition on weldability/printability; explore real-time nondestructive testing techniques to monitor joints and printed components; and have a better understanding of long-term predictability of joints and printed materials.
Process and materials modeling
Ma2JIC researches the development and deployment of computational models that can provide a comprehensive understanding of microstructure and performance of joints and printed materials/components, as a function of joining/printing processes and process parameters. Models are also being developed to support materials innovation and predict performance under challenging conditions.