Additive Manufacturing Technologies
2 researchers across 1 institution
This research area explores the design, development, and application of additive manufacturing, commonly known as 3D printing. Investigations focus on novel materials suitable for additive processes, optimizing printing parameters for enhanced performance and durability, and developing new printing techniques for complex geometries. Research also encompasses the characterization of printed materials and components, as well as the integration of additive manufacturing into existing production workflows and the development of advanced simulation tools to predict material behavior during and after printing.
The application of additive manufacturing holds significant potential for Arkansas industries. This work can support the state's advanced manufacturing sector by enabling the rapid prototyping and localized production of specialized parts, reducing lead times and costs. It is also relevant to the aerospace and defense industries, offering solutions for producing lightweight, high-strength components. Furthermore, additive manufacturing can contribute to the healthcare sector through the creation of custom medical devices and prosthetics, potentially improving patient outcomes across the state.
This field draws upon expertise in materials science for the development of new printable materials and in engineering education for the training of future additive manufacturing professionals. Research efforts engage across institutions to foster collaborative advancements in this rapidly evolving technological domain.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| C. Russ | University of Arkansas | 18 | 854 | ||
| Lucas Efrid | University of Arkansas | 1 | 1 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 Oak Ridge National Laboratory 1,139
- 2 Pennsylvania State University 1,138
- 3 Georgia Institute of Technology 1,043
- 4 Massachusetts Institute of Technology 759
- 5 Texas A&M University 676