Noise, Vibration & Harshness I (ME7261)
Noise Vibration and Harshness I (NVH I) is an integrated study of vibrations, acoustics, digital signal processing and machinery dynamics based on case studies; examination of design, manufacturing, material, performance and economic considerations.
This 4 credit-hour graduate course, the first in the NVH series, uses an innovative case study approach. A 3 credit-hour course (ME7260) is also available. Weekly lectures are supplemented with bi-weekly group discussions on key NVH issues. A course project on a contemporary topic is required.
A bachelor’s degree in mechanical or electrical engineering is required.as well as completion of the Mathematical Prep seminar or permission of Prof. Raj Singh.
Upon completion of this course participants will be able to:
- Apply acoustic, vibration and harsness design criteria (sound quality, source-path-receiver concepts and applications) to vehicle problems
- Create mathematical models and computer simulations (input-system-output paradigm, frequency response functions and system parameters)
- Perform vehicle modal analyses: (eigenvalue problems, modal domain properties, identify vehicle noise and vibration sources)
- Calculate frequency response and vibration control: vibration absorber concept and vehicle applications
- Understand vibration and noise path control elements (isolation, damping, balancing, resonators, absorption, barriers and enclosures)
Raj Singh, academy (emeritus) professor of mechanical engineering at The Ohio State University, held the Donald Glower chair for 13 years. He is a senior fellow at Ohio State’s Center for Automotive Research. Singh served as director, NSF I/UCRC Smart Vehicle Concepts Center for 11 years and now directs the Acoustics and Dynamics Laboratory. His research interests are: acoustics, machine dynamics, vibrations, non-linear dynamics and signal processing. Over the past two decades he has directed over $18 million of sponsored research and grant programs. Singh has published over 500 papers and advised 46 PhD and 77 MS students.