Webinar: Model-Based Definition Powering the Digital Twin
You can watch our webinar here
Author and industry analyst, Chad Jackson from Lifecycle Insights will be teaming up with our very own Dave Wingrave (@D_Wingrave) who is our product manager for MBD to present this webinar live to you.
Many Aerospace and Defense organizations today have Model-Based Definition initiatives underway. There are a few reasons an organization would pursue this initiative, including:
- Contractual Obligations: A number of today’s Department of Defense contracts include terms and conditions requiring the delivery of 3D models with PMI. For some, their pursuit of this initiative is primarily driven by contractual obligation.
- Reducing Efforts to Create and Amend Design Documentation: Theoretically, embedding PMI onto a 3D model should take less time than detailing a complete 2D engineering drawing, promising some benefit from this initiative. Furthermore, 3D models with PMI is often clearer in communicating manufacturing intent, allowing engineers to avoid the creation of amending documentation to clarify 2D engineering drawings.
In this webinar, Chad Jackson from Lifecycle Insights, will share findings from the MBD Supplier Readiness research study. It will include quantitative findings on the current operational states and current capability states of various functional organizations within manufacturers. It specifically looks at supplier’s abilities to use Model-Based Definitions for various activities, including: procurement, tooling design, machining, inspection, and manufacturing instructions.
Dave Wingrave from Siemens PLM Software will then share how Siemens NX provides an industry leading solution to support Model Based Definition that enables the creation of a complete digital definition of a product within a 3D model. This Digital Twin powered by Siemens NX, the next-generation product development platform, enables product teams to save valuable time by incorporating product and process information and ensure that intent is completely captured and associated to the model.
