DATA 512 – Fundamentals of Automotive Dynamic Instrumentation

Overview for management and participants

  • Why might data be needed? Who might need it? What data?
  • Force, Motion (vibration and shock), Pressure, Temperature, Strain
  • Approximate scheduling so managers can audit special topics

Quiz for evaluation of attendee prior knowledge

Sensor principles

  • Passive sensors, i.e. Wheatstone bridge
  • Self-generating sensors, i.e. piezoelectric (crystal)
  • “Smart” sensors

Classical sinusoidal quantities never observed in service, but a useful concept

  • Sinusoidal signal terminology
  • Displacement vs. velocity vs. acceleration vs. jerk
  • Sinusoidal measurements under ideal conditions: units, sensors, readouts, errors
    • Force; load cells
    • Motion (vibration and crash/shock); emphasis on accelerometers
    • Pressure; strain, temperature

Ideal conditions seldom found; what to do?

  • Structural resonant behavior of vehicle
  • Structural resonant behavior of attachment bracket
  • Structural resonant behavior of test article
  • Sensor resonant behavior
  • Selecting best transducer
  • Upward trend in frequency
  • Electrical and mechanical interference
  • Attachment difficulties
  • Environmental limitations: temperature, corrosives, fungi, sand and dust, salt spray

Analyzing non-sinusoidal/complex/random signals

  • Frequency domain – introduction to spectrum analysis
  • Time domain – introduction to probability density

Calibrating sensors and systems; traceability to NIST

Data acquisition systems

Virtual instrumentation

Movies; videotapes

Infra-red measurements

Course summary

Optional final examination

Award of certificates

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