| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Advanced Steel Metallurgy
|
| Presentation Title |
Digital Innovative Design (DID) for Reliable Casting Performance of Steel Castings |
| Author(s) |
Maria Diana M. David, David Poweleit, Raymond Monroe |
| On-Site Speaker (Planned) |
Maria Diana M. David |
| Abstract Scope |
Steel castings have been designed using legacy, heuristic approach with workmanship quality standards. The Digital Innovative Design (DID) for Reliable Casting Performance aims to provide design tools that will support engineers design steel castings more reliably. Two design strategies are being developed: (1) a design allowable code-based process with embedded Non-Destructive Testing (NDT) and (2) a lower bound modeling-based practice with quantitative NDT. This presentation will go over the research being done to support these new methodologies. Statistical analysis of mechanical properties of common cast steel grades is being done similar to MMPDS approach in determining A and B design allowables. The effect of indications on properties is evaluated using fracture mechanics. Quantitative NDT that are related to performance are being developed. |