Measuring Mechanical & Pyro Shock

Join us for a training course in successful shock measurement.

What will I learn?

• Recommended approaches and challenges for making transient acceleration measurements of severe mechanical shock and pyro shock
• Key technology choices related to piezoresistive and ICP® transducers
• The importance of proper cabling and signal conditioning, especially for tests requiring long cables
• Various causes that distort measurements with high frequency noise, zero shifts, and/or other problems
• The importance of proper DAQ selection, sampling rates, and filtering (both analog and digital)
• The dangers of aliasing and how to avoid it
• Suggested workflows to process measured accelerometer data including calculations to help assess measurement plausibility, methods to check for signal distortions, and approaches to minimize them
• What Shock Response Spectra is, how to calculate it, and why PVSS analysis is such a powerful way to assess accelerometer data

Who is it for?

• Test personnel and their managers
• Design and analysis staff who use test measurements for model, component and full-scale system verification
• Calibration laboratory staff
• Data reduction personnel
• Anyone whose work depends on the output from accelerometers for the measurement of severe mechanical shock and pyro shock

Registration information

Click register for additional information on training course, cost, and accommodations.

PRESENTER

Dr. Ted Diehl
Ted is responsible for strategy and technology development for Bodie Tech and is the developer of the Kornucopia® ML™ software tool suite. He is also a Corporate Fellow at Magic Leap, Inc. Ted has been an active participant in FEA and Physical Testing community for over 30 years, representing companies in several industries. His primary focus is developing methods to solve industrial problems through a creative, yet pragmatic, mix of experimental, computational, and theoretical approaches. Dr. Diehl pioneered many FEA-oriented digital signal processing algorithms, initially for use in cell-phone impact mechanics, and then expanded to a host of noisy data problems for both physical testing and transient FEA simulations. Dr. Diehl received his PhD in Mechanical Engineering from the University of Rochester.