Engineering Evolution: Nature-Inspired Solutions | Mark Price

In this episode, we look at the intriguing world of bio-inspired design with Mark Price https://sie.ag/6S83Vj , Professor of Aeronautics at Queen's University Belfast https://sie.ag/2HjGZ4 and Research Initiative Co-Founder at Biohaviour https://sie.ag/74e8JF.

Exploring the intersection of nature, engineering and innovation, Mark shares his extensive experience in aeronautics and his research into bio-inspired rules for innovative engineering design. This episode contains significant insights into multidisciplinary problem-solving, the evolution of engineering processes and the integration of nature's principles into modern design methodologies.

Key Takeaways:
• Mark’s transition from industry to academia. (05:01)
• The increasing role of software and computing tools in engineering. (07:56)
• Adapting engineering processes to current global challenges. (08:43)
• Bio-inspired rules for engineering design. (13:38)
• Natural systems' problem-solving methods for engineering innovation. (14:25)
• The "In Search of Design Genes" project — goals and discoveries. (20:03)
• Maintaining design flexibility and avoiding early design freezes. (22:54)
• AI’s potential to revolutionize engineering design processes. (37:02)

This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.

If you enjoyed this episode, please leave a 5-star review to help get the word out about the show and subscribe on Apple or Spotify so you never miss an episode.

For more unique insights on all kinds of cutting-edge topics, tune in to https://sie.ag/8q2yM

#Aerospace #AerospaceIndustries #AerospaceManufacturing #AI #FutureOfMobility #FutureOfAeroSpace

▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.

Simcenter software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.

Видео Engineering Evolution: Nature-Inspired Solutions | Mark Price канала Siemens Software