About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing: Design, Materials, Manufacturing, Challenges and Applications
|
| Presentation Title |
A-7: Optimal Design of Additively Manufactured Forging Preforms Using Finite Element Method |
| Author(s) |
Vignesh Asam, Showmik Ahsan, Srinivasan Raghu, Daniel Young, Mian Ahsan |
| On-Site Speaker (Planned) |
Vignesh Asam |
| Abstract Scope |
Additive manufacturing (AM) process, such as laser powder bed fusion (LPBF), can be used to fabricate forging preforms for low volume parts to reduce lead time and production costs. It is necessary to design preforms with specific shape/size so that the strain is uniform and sufficiently large for recrystallization. Finite element analysis (FEA) based computation modeling of the forging process is ideal to save time. In this work, FEA software Simufact-Forming is used to model the forging operation on IN718 to understand the effect of stroke length, stroke rate, friction, and temperature on the stress and strain distribution within the final deformed part. The FEA simulation is repeated for different preform shapes/sizes for a particular die and the optimum preform shape and forging condition are identified based on the stress/strain distribution within the final part. |