Danfoss - Enhancing Check Valve Design with Deep Learning
Danfoss is currently collaborating with Neural Concept to evaluate embedding our Intelligence Layer into their product design workflows, starting with the design of a new check valve.
Neural Concept's models were used to predict the performance of new valve designs by evaluating the mass flow rate, the pressure drop, and the lifting force on the piston, as well as the steady 3D flow field inside the check valve, which the technology provides within seconds.
About 100 designs and their corresponding CFD simulations were used for the model training. The relative error between predicted quantities on unseen geometries and those obtained through CFD simulations was about 1%.
Bottom: static pressure on central cross-section of the fluid volume, on a test sample
Neural Concept's Neural Design module was used for creating new designs, in a smart, innovative, non-parametric way.
A combination of the tools mentioned above was used to perform a multi-objective optimization. In total, 750 designs have been assessed in 15 optimization iterations consisting of 50 new designs each, with an overall turnaround time of 10 hours on a GPU.
The optimization led to the exploration of a very wide design space and an approximately 10% improvement of the mass flow rate at check valve's fully open condition.
About Danfoss
Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy consumption, and enable electrification. Our solutions are used in such areas as refrigeration, air conditioning, heating, power conversion, motor control, industrial machinery, automotive, marine, and off- and on-highway equipment. We also provide solutions for renewable energy, such as solar and wind power, as well as district-energy infrastructure for cities. Our innovative engineering dates back to 1933. Danfoss is family-owned, employing more than 42,000 people, serving customers in more than 100 countries through a global footprint of 95factories. www.danfoss.com
About Neural Concept
Founded in 2019, Neural Concept provides the leading AI-first engineering platform for product development. By embedding AI natively into design and simulation workflows, Neural Concept empowers engineering teams to compress development cycles from months to days, improve product performance across efficiency, safety, and sustainability, and scale AI adoption without costly, years-long integration.
The company drives product development across major industries, including automotive, aerospace, energy, consumer electronics, semiconductors and defense, working with the world’s leading global OEMs and component suppliers. Neural Concept was spun out of the Swiss Federal Institute of Technology in Lausanne (EPFL) and is backed by global investors, including Forestay Capital and D. E. Shaw Ventures. Visit https://www.neuralconcept.com for more information.
