Andrew Barnard

Andrew Barnard

Contact

  • Assistant Professor, Mechanical Engineering—Engineering Mechanics
  • Faculty Advisor, SENSE Enterprise
  • Ph.D., Acoustics, The Pennsylvania State University
  • M.S., Mechanical Engineering, Michigan Technological University
  • B.S., Mechanical Engineering, Michigan Technological University

Biography

Dr. Andrew Barnard is an assistant professor of Mechanical Engineering-Engineering Mechanics at Michigan Technological University. Prior to this appointment in 2014, he was a research associate at the Applied Research Laboratory at Penn State University for eight years. He received his B.S. and M.S. in Mechanical Engineering from Michigan Tech in 2002 and 2004, respectively. He received a PhD in Acoustics from Penn State University in 2010. Dr. Barnard is Board Certified by the Institute for Noise Control Engineering (INCE) and is a Certified LabVIEW developer (CLD). Dr. Barnard has interests in acoustics, noise control, and vibration.  Currently, he is interested in thermoacoustic thin-film loudspeakers made from carbon nanotubes (CNT) and how these ultra-lightweight devices can be used in consumer and industrial products. He is also interested in noise control methods for underwater electro-mechanical machines, such as electric motors and actuators. Finally, he is interested in the field of sports stadium noise, particularly football, both in fully quantifying the sound on the playing surface and evaluating new and unique visualization methods for crowd noise feedback in real time.

Areas of Expertise

  • Acoustics
  • Noise Control
  • Vibration
  • Real Time Control Systems
  • LabVIEW programming and instruction

Research Interests

  • Advanced Measurements and Signal Processing
  • Acoustic Intensity and Vector Sensors
  • Room Acoustics
  • Acoustic Material Characterization
  • Outdoor Sound Propagation
  • Physical Acoustics
  • NI LabVIEW Data Acquisition and Control
  • Microphones
  • Crowd Noise
  • Underwater Acoustics
  • Structural Acoustics
  • Array Signal Processing