Abstract
This chapter concludes the book with a discussion on the future research directions for solid-state metal additive manufacturing. First, there is a need for better comprehension of process fundamentals. Expanding the range of printable metals and alloys is also essential to advance deformation-based metal manufacturing for widespread use. Addressing tooling and material compatibility issues is the key. Artificial intelligence and data-driven approaches can aid quality assurance through real-time monitoring and closed-loop control. Combining data-driven approaches with physics simulations will enable faster and more precise process and microstructure prediction. Achieving this goal will necessitate collaboration across manufacturing, materials science, data analytics, and control disciplines.
| Original language | English |
|---|---|
| Title of host publication | Solid-State Metal Additive Manufacturing |
| Subtitle of host publication | Physics, Processes, Mechanical Properties, and Applications |
| Publisher | wiley |
| Pages | 379-384 |
| Number of pages | 6 |
| ISBN (Electronic) | 9783527839353 |
| ISBN (Print) | 9783527350933 |
| DOIs | |
| State | Published - Jan 1 2024 |
Keywords
- artificial intelligence
- closed-loop control
- data-driven approaches
- digital twin
- materials compatibility
- physics simulation
- process fundamentals
- solid-state metal additive manufacturing
- thermomechanical history
