“The term “mechanical design” is no longer adequate to describe the new breed of products that people design in the era of connected devices. Their primary functions are driven by electronics, software, sensors, and ubiquitous connectivity. They anticipate and predict the user’s needs rather than react to the user’s commands. They have to be both utilitarian and accessory-like, both private and broadcast-capable, both easy to operate and sophisticated in operations. This may prove to be a steep learning curve for those who cannot break out of the classic mechanical mindset.” Kenneth Wong, Senior Editor, Digital Engineering and Moderator of "Breathing Life into Digital Twins: Incorporating Sensor Data into System Modeling".
The future of product design is only going to get better. Smarter, more connected products are going to be built, allowing more opportunities for personal, and business growth. Advances like mixed reality takes this growth one step further by allowing us to interact directly with the environment in which we’re creating – in 3D. You can work in 3D in real time. You still want a physical prototype to get a sense for how something feels, but now you can make design decisions earlier
We’ve reached out to experts in the industry, to see what they thought the future looked like, and how they were going to begin embracing the change. We encourage you to use these predictions to start preparing for what lies ahead in the product design industry. Download 10 EXPERT INSIGHTS: The Future of Product Design in the Age of Smart & Connected Devices to read more.
Tuesday, March 14, 2017
2:00 pm ET/ 11:00 am PT
Time-stamped temperatures collected in the field, user heart rates accumulated in health monitoring devices, acceleration data captured by smart vehicles—these sensor data gives life to the next-gen digital prototypes, known as "digital twins'.
There's a wealth of wisdom in these data, but do you know how to work with it?
In this LIVE roundtable, DE’s Kenneth Wong moderates a panel of experts to discuss:
• Determining the right data, frequency, and amount to collect to prevent information overload;
• Linking sensor data to CAD models to create digital twins;
• Conducting system simulation with sensor data.