Description
Digital Workplaces, powered by real-time data, AI, and IoT, are poised to revolutionize product design and manufacturing workflows within the design-make-use lifecycle. By enabling data-driven, predictive processes, Digital Workplaces transform how products are conceived, iterated, and validated. What if IoT sensor data embedded in a product can detect stresses during its operation, which can be derived to automatically redesign a stronger and more efficient iteration? What if IoT sensor data embedded in a 3D printer can detect defects on a layer-by-layer basis to make real-time, in-situ adjustments to prevent manufacturing failures and scrap? Questions like these are not only being asked but explored and tested at Autodesk Research. Through a performance-aided design approach, we are harnessing sensor data to drive real-time optimizations, using a flying vehicle as a cutting-edge testbed to redefine the future of design and manufacturing.
Key Learnings
- Understand how Digital Workplaces can integrate IoT sensor data to create closed-loop design-make-use workflows
- Explore the performance-aided design approach, leveraging real-time data to optimize iterative product design
- Discover how Autodesk’s global network of Technology Centers collaboratively designed and manufactured a flying vehicle
- Gain insights into AI-powered tools that transform design-to-make processes, enabling error predictions and optimizations