Condition Monitoring of 3D Printer Using Micro Accelerometer
Authors:
Open Access
- 1 February 2021
- conference paper
- Published by IOP Publishing in IOP Conference Series: Materials Science and Engineering
- Vol. 1055 (1) , 012035
Abstract
The unwanted disturbance in the form of vibration causes damages to the components produced and reduces the efficiency of the machine. Analysing and controlling the vibration is very important for moving machines. The working principle of 3D printer is Additive Manufacturing Technique. Thus, for a minute vibration the observable defects are produced. So, it is necessary to analyse the vibrations of the 3D printer. To analyse a machine, it is important to know about the motions produced by the machine, then suitable sensors must be chosen to measure those motions. The condition of the machine can be found using sensor measurement values. A 3D printer produces three types of motions such as point to point motion, zigzag motion and continuous motion. The vibration produced during each of these motions is monitored using the conventional accelerometer, micro accelerometer and the micro flown sensor. The values of micro accelerometer are acquired using Arduino and NI – cDAQ9174. The results from each of these sensors are analysed and compared. From the results, it is clear that during the continuous motion the vibration is very less since it is observed during the soft edges of the components. The vibration is maximum and rhythmic during the zigzag motion due to sudden acceleration and deceleration. The point to point motion is produced while using the support material.Keywords
This publication has 8 references indexed in Scilit:
- Vibration Measurement and Suppression for Laser Galvanometers Using a Micro-electromechanical System-based AccelerometerSensors and Materials, 2018
- Vibration analysis and optimization of a vertical disc stump grinderAdvances in Mechanical Engineering, 2018
- Evaluation of damping estimates by automated Operational Modal Analysis for offshore wind turbine tower vibrationsRenewable Energy, 2018
- Induction Motors Vibration Monitoring Using a Biaxial Optical Fiber AccelerometerIEEE Sensors Journal, 2016
- Aircraft Random Vibration Analysis Using Active Landing GearsJournal of Low Frequency Noise, Vibration and Active Control, 2015
- Vibration fatigue analysis and multi-axial effect in testing of aerospace structuresMechanical Systems and Signal Processing, 2009
- Gearbox Noise and Vibration Prediction and ControlThe International Journal of Acoustics and Vibration, 2009
- Detection of a fatigue crack in a UH-60A planet gear carrier using vibration analysisMechanical Systems and Signal Processing, 2006