Sale!

Project: Determine The Precision Of Our Ultrasonic Sensor

Original price was: $20.00.Current price is: $10.00.

Project: Determine The Precision Of Our Ultrasonic Sensor

Category: Tags: ,

Description

Part 2: Precision of the Ultrasonic Sensor

In this part of the course project we apply what we have learned about numbers and units to determine the precision of the ultrasonic sensor. The ultrasonic sensor is an electronic device with two transducers that are used to detect an object within its range. The range of the sensor is from 3 cm to 3 m. When activated, one transducer sends a burst of ultrasounds by converting converts electric pulses into sound waves emitting them with frequency 40 kHz which is above human hearing threshold. The other transducer other listens for the echo of the ultrasounds to bounce off an obstacle and come back.

The technique is illustrated in the figure below:

The sensor measures the round-trip time between the outburst of ultrasound and the reception of the echo. With the known round-trip times and speed of sound of = 343 m/s, the ultrasonic device determines the distance that the sound traveled based on the fundamental definition of velocity

Determining the precision of the data gathering sensor is essential in experiments as sensors often drift over time and give incorrect readings due to circumstances such as temperature, humidity, and component fatigue.

Objectives

  • To generate an experimental set up to observe the laws of physics
  • To test the precision of the ultrasonic sensor
  • To train in scientific method of observation
  • To acquire experience handling of electronics equipment
  • To collect scientific data
  • To compute reliable results and draw valid conclusions from data

Deliverables

  • Complete the Course Project PowerPoint Deliverable
  • Include a picture of experiment set up for the course project
  • Include screenshot of serial monitor showing your name
  • Generate table of data
  • Conduct analysis of data
  • Answer questions to draw valid conclusions from data