Virtually-Guided Certification of Die Cast manufacturing Processes
Abstract
The objective of this effort was to develop, implement and demonstrate methodologies that would estimate variations in product quality given stochastic variations in process inputs and process models, and help in product and process certification. A cyber environment called OpenCast was developed that can predict, identify and improve product quality by controlling off-design parameter variations as key inputs through uncertainty quantification of the key inputs. We demonstrated the technical approach by considering die casting manufacturing process. State-of-the art software like C ++ , MPI, GMSH, Paraview, OOF2 and Matlab were used to develop and drive the virtual certification methodology. The approach would also be seamlessly applicable to other manufacturing processes and software tools. The key takeaway of this project was the development of the virtual assessment and certification model that can be used by die casting engineers in designing the die and operational parameters for improving product quality. For the experimental geometries considered in this work, the OpenCast results agreed with experimental data within a few percent, typically less than 5% .
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 2018
- Accession Number
- AD1077909
Entities
People
- N. R. Aluru