学术报告通知——“Seeing Is Believing”: A Holistic View of Analyzing NVH Issues

日期:2018-05-10 来源:

题目:“Seeing Is Believing”: A Holistic View of Analyzing NVH Issues

主讲:邬晓锋 教授

时间:2018年5月11日(周五)下午2:00

地点:行政北楼一楼学术报告厅

主办:汽车与轨道交通学院

 

 

专家简介:邬晓锋,教授,毕业于浙江大学机械系,1984年、1987年分获美国乔治亚理工学院硕士、博士。1988年受聘于美国韦恩州立大学机械系助理教授,1995年成为终身教授,2002–2005全票当选Charles DeVlieg讲座教授,自2005年起每年均被美国韦恩州立大学校董事会授予University Distinguished Professor(美国大学教授最高荣誉)。邬教授是著名HELS近场声全息和被动声达之发明人,开创了全新的三维声场重构与无声搜索、定位、及追踪三维空间任意声源的理论、方法和技术。2003年联合创立了产业化公司—SenSound LLC公司,任副总裁(VP)、技术总监(CTO),将创新技术推向美国、欧洲和亚洲的制造工业界。2015年独立创立了产业化公司—Signal-Wise LLC公司,任总裁与首席执行长官。2001与2002年分别被美国机械工程师学会和美国声学学会授予ASME FellowASA Fellow。担任国际声学著名期刊Journal of Computational Acoustics《计算声学杂志》联合主编与责任编辑、国际声学顶级杂志Journal of the Acoustical Society of America《美国声学学报》副主编与快讯编辑。邬教授获得过众多荣誉和奖励,包括首届底特律工程学会技术发明奖、密西根州产业化技术奖、荣登亚裔美籍领袖名人堂、最有影响力亚太名人及美国汽车工程学会教学奖等。指导学生获得24项优秀论文大赛奖。拥有美国及国际专利17项,发表论文共计300篇(其中60篇发表在国际声学与振动顶级杂志Journal of the Acoustical Society of AmericaJournal of Sound and Vibration等上)。截止2018年2月8日,论文引用次数总计达1825次,出版7部学术专著,1本教科书《The Helmholtz Equation Least Squares Method》,2014年9月由德国最大的出版商Springer在其“现代声学与信号处理”系列丛书中推出。2012年获首届浙江大学海外杰出校友奖。2012至2015获浙江工业大学短期特聘千人计划教授。2018年邬教授获由美国机械工程协会颁发的在声学、振动与噪声控制领域里的最高荣誉,Per Brue Gold Medal,成为该奖成立30年来获此殊荣的首位亚裔(华裔)人士。

 

 

报告主要内容:

 The first step toward industrial noise control is to locate the sound source and understand its characteristics. This is often easier said than done because in engineering application, because one cannot see sound and test conditions and environment are arbitrary. There is in general no analytic solution to such a scenario and a practical approach to measure the sound pressures and/or sound intensities at some ad hoc points to get an idea of the locations and characteristics of sound sources. Such an approach is often trial and error based, and is not effective. This paper presents a comprehensive tool, known as Sound Viewer, for locating sound sources and analyzing the resultant sound fields in 3D space under virtually any test environment. The principles of Sound Viewer are based on the passive SODAR (Sonic Detection And Ranging) and HELS (Helmholtz Equation Least Squares) method. The former enables one to locate arbitrary sound sources in 3D space and the latter allows for visualization of sound field in 3D space as well as on arbitrarily shaped source surfaces. The combination of SODAR and HELS technologies enables us to the time-space-frequency-visual-audio effects of the sound sources and their fields, so as to facilitate the analyses and understanding when and where sounds are generated and what the sources strengths, frequency components, and sound pressure distribution in 3D space are. Such a comprehensive diagnostic tool will enable engineers to acquire a better understanding of complex noise sources, which can lead to the development of optimal noise mitigation strategies in a very cost-effective manner.