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IUVS专访|Noack教授:一位致力于面向绿色交通气动优化研究的资深学者_人物访谈_行业资讯_国际无人系统网

IUVS专访|Noack教授:一位致力于面向绿色交通气动优化研究的资深学者

   2022-09-15 国际无人系统黄超勇393
核心提示:人物简介Bernd R. Noack 教授,国家级人才,现任哈尔滨工业大学(深圳)教授,柏林工业大学湍流控制讲席教授。其研究领域为面向

人物简介

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Bernd R. Noack 教授,国家级人才,现任哈尔滨工业大学(深圳)教授,柏林工业大学湍流控制讲席教授。其研究领域为面向绿色交通的气动优化,尤其是湍流控制方向。他是人工智能用于动力学建模及流动控制领域的资深学者,其研究成果在世界范围处于领先地位。 

Professor Noack is a national talent professor at Harbin Institute of Technology, Shenzhen, China. He is also Professor and Chair of “Turbulence Control” at the Technical University of Berlin. His research fields focus on aerodynamic optimization for green transport, in particular turbulence control. He is a world-leading scholar on artificial intelligence in modeling and control of fluid flows. 

Noack 教授曾获国内外多项荣誉和奖励,如获美国物理学会会士奖(2012 年)、法国国家科学研究中心科学卓越奖(2014-2018 年),法国国家科研署杰出讲席教授奖(2010-2015 年),国际应用数学和力学协会的冯·米塞斯奖(2005 年)等。已发表250多篇出版物,包括130余篇国际期刊论文、2项国际专利、3篇学科综述以及5本著作(2本Springer教科书)。

Professor Noack has been given many honors and awards from different countries, including American Physical Society Fellowship Award (2012), CNRS Science Excellence Award (2014-2018), ANR Chair of Excellence Award (2010-2015), Richard von Mises Award from International Association for Applied Mathematics and mechanics (2005), etc. He has published more than 250 refereed publications in cooperation with other researchers, including more than 130 international journal essays, 2 patents, 3 review articles and 5 books (including 2 Springer textbooks).

作为其研究领域内被引次数最多的学者之一,Noack 教授被 Web of Knowledge 列入全球高被引科学家榜单(前 1%),并在国内机械与航空航天工程领域位居前列。

He is one of the most cited researchers in his field, is included in the highly cited researchers by Web of Knowledge (top 1%), and is ranked among the top few dozen researchers in mechanical and aerospace engineering in China. 

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Noack 教授在2022世界无人机大会做主题演讲

国际无人系统:

Noack 教授在湍流控制领域是享誉国内外的专家,请介绍下您目前的研究项目?

Professor Noack,you are well known for your achievement in turbulence control. Could you give a brief introduction for your current research project?

Noack 教授:

所有的高速运输交通工具,如汽车、卡车、列车和飞机等,都需要花费绝大部分的推进力来克服由其周身湍流效应造成的空气阻力。

Any high-speed transport vehicle, like car, truck, train and airplane, spends most of its propulsion energy to overcome aerodynamic drag. This drag originates from the turbulent flow over the vehicle. 

我们团队目前使用由激励器和传感器组成的小型装置来改变湍流结构,实现显著的减阻效果,进而提升交通工具的续航里程并降低能源消耗。

We change this turbulent flow with small devices, called actuators and sensors, to achieve significant drag reduction and thus increase the range and reduced the energy consumption of the vehicle. 

我们对于减阻技术的研究处于世界领先水平。这项技术也可用于提高机翼的升力,改善风机的能量收集效率,优化燃烧效率等众多工程应用。

In fact, we are a world leading team in this drag reduction technology. This technology can also be used to increase lift of airfoils, improve the energy harvesting of wind turbines, make combustion processes more effective and much more.

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国际无人系统:

您目前是科研团队的负责人,请介绍下团队最新的研究成果。 

We have learned that you are now a supervisor for research teams. Could you share something about the current progress that your teams have achieved?

Noack 教授:

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团队的研究重点为面向绿色交通的气动优化。我们最新研究突破是采用智能蒙皮的减阻技术。通过在汽车、无人机或空中出租车后侧布置带有激励器阵列的薄蒙皮,采取人工智能方法对激励器进行控制,进而显著减小阻力并提升气动性能。

Our focus is aerodynamic optimization for green transport. Our most recent breakthrough is a smart skin drag reduction technology. A thin “dress” of AI-controlled actuators and on a rearward side of a car, drone or air taxi can significantly reduce drag and improve aerodynamic forces. 

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这种减阻技术能够根据工程需要而定制化处理,有着安装简便、轻量化、且不需要额外动力输入就能达到良好的气动力学控制效果。这种控制技术目前在全球范围内也是独一无二的。

This drag reduction technology can be customized to engineering demands. For instance, the easiest implementation has negligible weight and requires no energy for good aerodynamic effects. Currently, such flow control technology is worldwide unique. 

我们还有其他许多项目在研,如:人工智能方法用于交通工具的气动力学建模,阵风条件下无人机/空中出租车在建筑物上或建筑物内的平稳着陆等。 

We have a number of other projects, e.g. artificial intelligence methods for modeling vehicle aerodynamics, landing of drones/air taxis on or in buildings under gusty wind conditions, etc.

国际无人系统:

在您和您团队的研究方向上,目前正在攻克的难题有哪些? 

Is there any difficulty that your team and you have come across during the process of your research? 

Noack 教授:

工程研究有着对高可行性、高可靠性的需求,同时也要保证更优异的性能。

Turbulence control is particularly difficult because it relies on vast engineering knowledge, physical understanding and face large mathematical and hardware challenges. 

湍流控制一直以来都是重难点问题,需要依赖于大量的工程知识、物理基础以及数学理解。应对湍流控制带来的跨学科挑战需要建立一个国际化的团队和合作网络,从而解决一系列不同的工程、物理和数学问题。

The interdisciplinary challenge of turbulence control is establishing a world-class team and collaborative network addressing a rich set of engineering, physical and mathematical problems. Engineering research implies pushing the frontiers of the possible, demonstrating performance benefits which have not been realized before. 

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Noack 教授与团队合影

我们团队拥有超过 30 年的学术和工业经验,与数百位国内外研究者合作,因此在该领域的创新性研究上具有独特的优势。 

We have over 30 years of academic and industrial experience with hundreds of collaborators and are thus uniquely positioned to innovate the field.

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国际无人系统:

在难题解决之后,您的成果将应用到哪些具体领域,并给行业带来怎样的机遇和发展? 

In what field will your research findings be applied to? Is there any opportunity or challenge for the development of the industry concerning about the application?

Noack 教授:

我们相信,基于人工智能的湍流控制技术将在未来几年、几十年内得到广泛的应用,包括汽车、火车、飞机、燃烧、化学反应、热管理等,这仅是其中的几个例子。

We believe that our AI-based turbulence control technology will enjoy a huge range of applications in the coming years and decades, from cars, trains, aircraft, combustion, chemical processes, thermal management, just to name a few.

目前,我们的德国合作方已将相关研究成果应用于民用飞机和风力涡轮机。

In fact, first versions of our German collaborators are already applied on civil aircraft and wind turbines.

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在中国,我们团队的研究重点将是空中出租车、无人机和汽车。

Our focus in China will be air taxis, drones and cars.

主要包括两个阶段,第一阶段是基于实验条件展示方法的性能优势。这一阶段将提供许多国际化的合作机会。第二阶段则是基于工业界的实际应用,解决工程限制问题。这也是颇具挑战的部分,需要双方共同的努力和耐心。 

The implementation has two steps. In the first you demonstrate a performance benefit in experiment. This creates collaborative opportunities. And in the second step you address numerous constraints of the industrial partner. This is the challenging part which requires effort and patience on both sides. 

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Noack 教授正在授课

国际无人系统:

您的研究项目如何与产学研做结合? 

In what way and to what extent has your program combined with industry and education?

Noack 教授:

20多年来,我一直致力于面向绿色交通的工程师和学者的教育事业。

Since over 20 years, I am investing in the education of future engineers and scholars of green transport.

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Noack 教授出版的部分著作

我提炼和简化了一套的成功的湍流控制方法,并在中国、欧洲、美国、加拿大和澳大利亚的一流大学开设课程。我们编写了2本高引用量的Springer 教科书,3本其他书籍以及3篇领域综述文章。在哈尔滨工业大学(深圳),我专门开设了关于人工智能方法的课程。

I am distilling and simplifying the most successful turbulence control methods in courses delivered at leading Universities in China, Europe, USA, Canada and Australia. We have written 2 highly cited Springer textbooks and 3 other books and 3 review articles. At Harbin Institute of Technology, I specifically teach artificial intelligence methods in engineering. 

人工智能技术使得许多工程应用问题变得更加容易。

Artificial intelligence makes many engineering tasks much easier.

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杨金才会长向教授颁发聘书

国际无人系统:

前不久,深圳市无人机行业协会聘请您为深圳市无人机行业协会专家委专家,未来双方将会有哪些合作呢?

Recently, Shenzhen UAV Industry Association has hired you as the expert in the committee. In what way will bilateral cooperation be carried out in the future?

Noack 教授:

深圳市无人机行业协会通过他们丰富的行业知识和国际化活动将我们与中国无人机及空中出租车的相关企业联系起来。

Shenzhen UAV Industry Association connects us with Chinese applicants and producers of drones and air taxis through their vast knowledge and international events.

作为回报,我们团队介绍了空气动力学领域的相关进展。我们团队正在与协会合作,在哈工大深圳建立一个空气动力学无人机测试实验室。  

In return, we present the aerodynamic progress on their fori. We are building a unique aerodynamic drone testing laboratory in HIT in collaboration with the association.

 
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