Press Release

Kautex-Textron Engineers Reduce Product Development Time and Costs 

Following a Successful Pilot with AI, Engineers Expand the Use of Monolith to EV Battery Testing

  • Monolith’s artificial intelligence (AI) software helps Kautex-Textron, a Top 100 global automotive supplier, solve one of their most difficult engineering challenges

  • Advanced machine-learning capabilities of Monolith’s AI technology enables Kautex product validation engineers to significantly reduce expensive, time-consuming physical testing

  • By combining engineering expertise, acoustic data and Monolith AI software, Kautex engineers can instantly and reliably predict the expected noise on new designs

  • Monolith software allows for the “democratisation of simulations” for non-CAE engineers, leveraging advanced knowledge in a convenient GUI

  • Highly advanced, future-facing software has potential to help Kautex-Textron improve impact resistance of electric vehicle battery casing – enhancing EV performance and safety


24 October 2022, London, UK, – Monolith – artificial intelligence (AI) software provider to the world’s leading automotive, aerospace and industrial engineering teams – has announced the results of its collaboration with Kautex, a Textron Inc. (NYSE: TXT) company and Top 100 automotive supplier to global OEMs. Monolith’s highly intelligent AI technology enabled the Kautex-Textron validation engineering team to solve one of their most complex engineering challenges with fuel ‘sloshing’ while reducing design iterations and prototyping and testing costs. Leveraging the power of AI to accurately predict sloshing noise generated when a vehicle decelerates, the ground-breaking work opens a world of opportunities for Kautex-Textron engineers to expand the application of AI to solve further engineering challenges in the era of electrification. 


Dr. Bernhardt Lüddecke, Global Director of Validation, Kautex-Textron, said: “With Monolith’s machine learning method, we not only solved the challenge, we also reduced design iteration times and prototyping and testing costs. The software reduces design analysis time from days to minutes with improved accuracy. We are thrilled with the results, and we are confident we have found a way to improve future design solutions.”


The core of the Kautex engineers’ challenge was to reliably understand the relationship between the properties of the fuel tank, the test parameters, and the resulting sloshing noise – an intractable physics procedure typically requiring multiple physical tests with prototype tank shapes filled at differing levels. 


Dr. Alin Petcu, Global Lead, Virtual Validation Projects, Kautex Textron, said: “Predicting fuel sloshing noise during vehicle deceleration is one of the most complicated, multi-physics challenges for our engineering team to model and understand. Using Monolith AI software, we have now solved this most intractable, previously unsolvable physics problem. By combining our engineering expertise, acoustic data and Monolith AI software, we can quickly understand the relationship between the tank, test parameters and sloshing noise, and instantly and reliably predict the expected noise on new designs.”


Through the power of machine learning, Monolith’s highly sophisticated AI platform was able to combine existing valuable acoustic test data, 3D CAD tank shapes and different inner component set-ups to produce highly accurate models for fuel sloshing behaviour – removing the need to conduct a series of time- and cost-consuming tests and complex simulations under multiple parameters.


Dr. Richard Ahlfeld, CEO and Founder, Monolith AI, said: “This innovative application of machine learning allowed the visionary Kautex engineering team to significantly cut design time and testing costs, extensively streamlining what was a highly complicated process. The possibilities for applying AI technology to further use cases in their product design work is hugely exciting for us, and we look forward to producing more excellent results for Kautex and our automotive OEM customers.”


The powerful machine learning capabilities offered by Monolith’s AI platform can also be applied to electric vehicles. Kautex engineers are exploring the potential to use Monolith to help streamline the process for battery pack casing impact testing, thereby reducing development costs and enabling the business to bring cost- and performance-competitive EV solutions to new markets around the world.


Further information on Monolith’s solutions can be found here, with more detail on Kautex-Textron available here.

Notes to Editors
A high-resolution infographic demonstrating the benefits of the new testing process can be downloaded here.

About Monolith:
Monolith software is trusted by the world’s top engineering teams including Siemens, Honeywell, and BMW Group to develop better quality products in half the time. Backed by one of the world’s largest software investors and recognized by Gartner as a Cool Vendor for AI in Automotive, Monolith AI empowers engineering domain experts in automotive, aerospace, and industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time. Featured in Forbes magazine and named one of the UK’s top 100 start-ups, Monolith AI founder Dr. Richard Ahlfeld received his PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators under 35. Monolith AI is headquartered in London with global enterprise clients worldwide.

About Kautex-Textron
At Kautex, we are driving the future. As a Tier One automotive supplier with more than 30 plants in 13 countries, Kautex designs, develops, and manufactures traditional and hybrid fuel systems, advanced cleaning solutions for assisted and autonomous driving, engine camshafts, and plastic industrial packaging solutions. A pioneer in the design and manufacture of automotive plastic fuel systems, Kautex is expanding its portfolio to offer smart products and data-driven services to our customers, including thermoplastic composite and composite-metal hybrid battery systems. From a lightweight battery system to a hybrid fuel system to autonomous drive vehicle cleaning systems, Kautex is committed to pioneering solutions for the era of new mobility.

About Textron
Textron is a multi-industry company that leverages its global network of aircraft, defense, industrial, and finance businesses to provide customers with innovative solutions and services. Textron is known around the world for its powerful brands such as Bell, Cessna, Beechcraft, Pipistrel, Jacobsen, Kautex, Lycoming, E-Z-GO, Arctic Cat, and Textron Systems. For more information, visit:

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