SLOA341 October   2024 LOG300

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Description
    1. 2.1 Basics of Ultrasound Sensing
    2. 2.2 Advantages and Disadvantages of Ultrasonic Sensing
    3. 2.3 Ultrasonic Transducer
      1. 2.3.1 Transducer Construction
      2. 2.3.2 Transducer Frequencies
    4. 2.4 Transducer Topologies
    5. 2.5 Blind Zone Effect on Minimum Distance
    6. 2.6 Transducer Drive
    7. 2.7 Ultrasonic Echo and Signal Processing
      1. 2.7.1 Digital Gain or Fixed Gain
      2. 2.7.2 Time-Varying-Gain
      3. 2.7.3 Automatic Gain Control or Logarithmic Amplifier
      4. 2.7.4 Logarithmic Amplifier vs Logarithmic Detector
  6. 3LOG Detector Amplifier and the Advantages Over Conventional Opamps
  7. 4Application
    1. 4.1 Double Paper Feed and Paper Thickness Detector
      1. 4.1.1 Schematic Implementation
      2. 4.1.2 Material Thickness Detector
    2. 4.2 Bubble Detector
    3. 4.3 Material Detection
    4. 4.4 Distance or Proximity Detection
  8. 5Summary
  9. 6References

Material Detection

Material detection works by sending ultrasonic waves into a material, which bounce back when encountering boundaries or defects. Based on the type of material, the reflected echo can have certain strength. Softer material like fabric or carpet can absorb more sound wave resulting in weaker echo as compared to hard material like ceramic tile or wood. The system analyzes the reflected echoes to identify the relative strength of the received echo which can then be processed to infer the type of material.

For this application the transducer is setup in monostatic configuration, that means same transducer first transmit a burst of ultrasonic pulses and then wait for the echo.

 Monostatic Sensor Figure 4-6 Monostatic Sensor

Figure 4-7 shows how an ultrasonic transducer can be configured with LOG300 and a driver circuit for operating an ultrasonic transducer in a monostatic configuration

 Monostatic Ultrasonic
                    Sensor Figure 4-7 Monostatic Ultrasonic Sensor
 Wood vs Carpet Detection
                    Result Figure 4-8 Wood vs Carpet Detection Result