Metalcasting Industry Roadmap
the end customer while optimizing the part for manufacturability. Artificial Intelligence offers the ability to learn from a decision tree. Developing processes and enabling the computer to design a casting would provide new technology to blend part design, function, and manufacturability; thus, enabling the foundry industry to showcase efficient cast part designs. To take advantage of modeling and simulation capabilities, solid model data needs to freely translate between different software programs. An example of this is creating the software to translate between CAD and MAGMA to identify riser locations. The ability to know how risers might be placed is critical when setting up datum targets for a part. The seamless integration of solid model data between software packages is important to make certain data is not lost and features do not have to be recreated.
Key Tasks
x Couple design to manufacturing x Develop software centered on foundry processes x Optimize designs for both manufacturability and performance x Seamlessly translate modeling data between software programs
Target Outcomes
x Higher quality / performing cast parts x Advances in modeling technology to allow a foundry to interact with customers to optimize designs
x Software for foundries to optimize processes x Reduced production lead times x Efficient and error-proof transition of modeling data between software packages
b. Understand Parting Line - Casting design for conventional casting processes require determining how to best create a split line as it relates to part performance, draft (ability to remove mold from pattern and part from die), secondary operations like machining (locating points, etc.) and assembly, and the need for additional manufacturing operations for cores, pulls, and loose pieces. Current approaches require significant manual design input and past experience expertise. Using expert-based rules to automate the process would result in more efficient casting design, lighter weight castings, and reduced costs.
Key Tasks
x Document heuristic techniques for the engineering of parting line and mold / die features
x Find the correlation between parting line and mold / die features and cost x Develop modeling capability to optimize parting line and mold / die features for manufacturability
x Develop modeling capability to address effect on design based on GD&T, draft, etc. that would be impacted by parting line and mold / die features
x Incorporate advancements in technology such as AM as it pertains to parting line and mold / die features
40 Design
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