This research presents the study of screw fixing errors using electrical signals analysis. By measuring the electrical signals of an electric screwdriver installed in the automatic screw tightening robot. The measured electrical signal values were analyzed in order to determine the signal pattern for each type of screw tightening. In addition, the relationship equation between the torque and the electrical signals by using statistical analysis was examined to find the representative equation, which was then coded in the microcontroller to collect data and display torque values of the automatic screw tightening robot. The experimental results showed that the electrical signal can be classified whether the screw tightening is abnormal or not. And can identify the type of abnormal screw tightening. Additionally, for determining the relationship equation between the torque and the electrical signal, therefore, it is preferable to use electric current for determining the screw tightening torque. When comparing the accuracy and precision of the digital torque meter and the torque measuring device using Arduino. The results show that the Arduino has less accuracy and precision than the digital torque meter. But it has the advantage of being cheap and able to collect data and display torque values while the automatic screw tightening robot performs the screw tightening.
Keywords
Screwing, Torque Measurement, Electrical Signal Analysis, Automatic Screw Tightening Robot
THE JOURNAL OF INDUSTRIAL TECHNOLOGY
Published by : Research and Academic Supports Division College of Industrial Technology, King Mongkut’s University of Technology North Bangkok Contributions welcome at : http://j.cit.kmutnb.ac.th/en/
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