--- title: Designing Optimal Fans Using TURBOdesign1 at Ebm-papst Mulfingen description: The blog talks about how Ebm-papst Mulfingen used ADT's TURBOdesign1 to develop new fan blades, promising gain of time and a better understanding of the aerodynamics. image: https://blog.adtechnology.com/hubfs/Capture%2018.png --- [![](https://blog.adtechnology.com/hs-fs/hubfs/logo-4.png?width=239&height=66&name=logo-4.png)](http://adtechnology.com) # Designing Optimal Fans Using TURBOdesign1 at Ebm-papst Mulfingen By [Mehrdad Zangeneh](https://blog.adtechnology.com/author/mehrdad-zangeneh) [Fans & Blowers](https://blog.adtechnology.com/topic/fans-blowers) [3D Inverse Design](https://blog.adtechnology.com/topic/3d-inverse-design) February 10, 2023 Introduction Ebm-papst Mulfingen was founded in 1963 by Gerhard Sturm, still actively heading the company, and Heinz Ziehl. Everything started with the externalrotor motor, rediscovered then as an ideal drive for small fans. As the pillar and basic principle of our innovative and wide product range, the externalrotor motor made Ebm the world market leader.    In 1992, Ebm took over PAPST Motoren GmbH & Co.KG, following this up in 1997 by acquiring MVL Motoren Ventilatoren Landshut GmbH. The Ebm, Papast and MVL companies took the joint brand name Ebmpapst in 2003. Ebm-papst produces high-quality fans and motors for many markets, such as heating and air-conditioning, ventilation, refrigeration, automotive, IT/telecom and drive technology.   Advantage of TURBOdesign1 Searching for new tools to make the design process faster and more efficient, an extensive benchmark of available design tools was conducted at Ebmpapst. TURBOdesign1 was shaped to be the most suitable tool for developing new fan blades, a promising gain of time and a better understanding of aerodynamics.   ![Capture 18](https://blog.adtechnology.com/hs-fs/hubfs/Capture%2018.png?width=341&height=326&name=Capture%2018.png) Figure 1: Comparison of shroud blade pressure predicted by TURBOdesign1 and calculated with CFD   With TURBOdesign1, only a few geometrical parameters are needed. The main input is the blade loading, which directly controls the aerodynamic flow field. In particular, TURBOdesign1’s prediction results are very accurate, as well as controlling the potential flow field.   The direct control of the potential flow field allows designers to control all the main sources of losses, like the secondary flows and the tip clearance flow, that affect axial and centrifugal fans.   Conclusion TURBOdesign1 can be a valuable tool in designing fans. Its geometrical parameters are reasonable in realising the usual design specifications, with blade loading being an important parameter for aerodynamic and aeroacoustic optimisation.   [![Read the Case Study](https://no-cache.hubspot.com/cta/default/2115715/17886051-a36e-4d8b-85f5-6aab0d84c3e9.png)](https://cta-redirect.hubspot.com/cta/redirect/2115715/17886051-a36e-4d8b-85f5-6aab0d84c3e9)     ### Book a LIVE demo on the design of a turbomachinery application of your choice. Our demo is tailored to your specific application and design challenges [![Book a Demonstration](https://no-cache.hubspot.com/cta/default/2115715/57b9fd61-d65c-47e8-8b0c-27bc698c0f4e.png)](https://cta-redirect.hubspot.com/cta/redirect/2115715/57b9fd61-d65c-47e8-8b0c-27bc698c0f4e) Share This Post [![Share on Facebook](https://blog.adtechnology.com/hubfs/ADT%20Blog/Social%20Icons/5e0f3c78452ae7d40a6dbfff_002-facebook-logo.svg)](http://www.facebook.com/share.php?u=https%3A%2F%2Fblog.adtechnology.com%2Fdesigning-optimal-fans-using-turbodesign1-at-ebm-papst-mulfingen%3Futm_medium%3Dsocial%26utm_source%3Dfacebook) [![Share on LinkedIn](https://blog.adtechnology.com/hubfs/ADT%20Blog/Social%20Icons/5e0f3c78452ae70fe46dc000_001-linkedin-logo.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fblog.adtechnology.com%2Fdesigning-optimal-fans-using-turbodesign1-at-ebm-papst-mulfingen%3Futm_medium%3Dsocial%26utm_source%3Dlinkedin) [![Share on Twitter](https://blog.adtechnology.com/hs-fs/hubfs/ADT%20Blog/Social%20Icons/5e0f3c78452ae7625c6dbffd_home-socicon1.png?width=24&name=5e0f3c78452ae7625c6dbffd_home-socicon1.png)](https://twitter.com/intent/tweet?original_referer=https%3A%2F%2Fblog.adtechnology.com%2Fdesigning-optimal-fans-using-turbodesign1-at-ebm-papst-mulfingen%3Futm_medium%3Dsocial%26utm_source%3Dtwitter&url=https%3A%2F%2Fblog.adtechnology.com%2Fdesigning-optimal-fans-using-turbodesign1-at-ebm-papst-mulfingen%3Futm_medium%3Dsocial%26utm_source%3Dtwitter&source=tweetbutton&text=Designing%20Optimal%20Fans%20Using%20TURBOdesign1%20at%20Ebm-papst%20Mulfingen) [![Share on Email](https://blog.adtechnology.com/hubfs/ADT%20Blog/Social%20Icons/001-envelope.svg)](mailto:?subject=Check%20out%20https%3A%2F%2Fblog.adtechnology.com%2Fdesigning-optimal-fans-using-turbodesign1-at-ebm-papst-mulfingen%3Futm_medium%3Dsocial%26utm_source%3Demail%20&body=Check%20out%20https%3A%2F%2Fblog.adtechnology.com%2Fdesigning-optimal-fans-using-turbodesign1-at-ebm-papst-mulfingen%3Futm_medium%3Dsocial%26utm_source%3Demail) ### Mehrdad Zangeneh Mehrdad Zangeneh is Founder and Managing Director of Advanced Design Technology and professor of Thermofluids at University College London. [View All Articles](https://blog.adtechnology.com/author/mehrdad-zangeneh) ### MORE ON THIS TOPIC [![Machine Learning Optimizes Axial Fan Design](https://blog.adtechnology.com/hubfs/ADT%20Blog/Machine%20Learning%20Optimizes%20Axial%20Fan%20Design/surrogate-model1.jpg) ](https://blog.adtechnology.com/machine-learning-optimizes-axial-fan-design) [Fans & Blowers](https://blog.adtechnology.com/topic/fans-blowers) [Machine Learning](https://blog.adtechnology.com/topic/machine-learning) ## [Machine Learning Optimizes Axial Fan Design](https://blog.adtechnology.com/machine-learning-optimizes-axial-fan-design) Axial fan design is optimized using **3D Inverse Design** combined with the **Reactive Response Surface + CAE Machine Learning** method. The system used only [![Machine Learning for Axial Fan Design](https://blog.adtechnology.com/hubfs/Webinars/2025/Machine%20Learning%20for%20the%20Design%20and%20Optimisation%20of%20a%20Axial%20Fan/machine-learning-design-axial-fan.jpg) ](https://blog.adtechnology.com/machine-learning-axial-fan-design) [Fans & Blowers](https://blog.adtechnology.com/topic/fans-blowers) [Machine Learning](https://blog.adtechnology.com/topic/machine-learning) ## [Machine Learning for Axial Fan Design](https://blog.adtechnology.com/machine-learning-axial-fan-design) This article outlines the **essential building blocks** needed to create a practical **Machine Learning (ML) system** for axial fan design, which is... [![Automatic Optimization of a CPU Cooling Fan](https://blog.adtechnology.com/hubfs/Contour%20plots%20of%20total%20and%20static%20pressure%20on%20mid-span%20plane%20through%20the%20CPU%20cooling%20fan-1.png) ](https://blog.adtechnology.com/automatic-optimization-of-a-cpu-cooling-fan) [Fans & Blowers](https://blog.adtechnology.com/topic/fans-blowers) [3D Inverse Design](https://blog.adtechnology.com/topic/3d-inverse-design) ## [Automatic Optimization of a CPU Cooling Fan](https://blog.adtechnology.com/automatic-optimization-of-a-cpu-cooling-fan) In the [first part of this article](https://blog.adtechnology.com/design-of-a-cpu-cooling-fan) on the design of a Sirocco-type CPU cooling fan stage, we showed that there is scope for improvement in the... ![ADT-LOGO-2-lines-white-1](https://blog.adtechnology.com/hs-fs/hubfs/ADT-LOGO-2-lines-white-1.png?width=170&height=71&name=ADT-LOGO-2-lines-white-1.png "ADT-LOGO-2-lines-white-1") All rights reserved. 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