Panuntun, Mathius Wagyantoro Resi Bagus and Sofyan, Edi and Berchmans, Hanny J. (2018) Accelerometer-Based System to Evaluate The Wear of Lathe Cutting Tool and The Correlation to Surface Quality. Masters thesis, Swiss German University.
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Abstract
Lathe machine is one of the rotary based motion machine which is purposed to cut and shape work piece which has cylindrical shape. It has a principal work where the work piece is rotated in a spindle then the cutting tool move linearly to cut the work piece. Lathe machine has a specific cutting tool to process the cylindrical work piece. Therefore, cutting tool condition is important to be considered more because the wear of a cutting tool is a critical phenomenon which influences the quality of the machined part. But for sensing and monitoring the wear of cutting tool, exspensive sensor or equipment is required. Therefore, the author try to create a system to evaluate the wear of cutting tool, focused on lathe cutting tool, ISO 6. Digital Accelerometer ADXL345 has been chosen as the sensor, then for the microcontroller, Arduino Uno is used. The work principal of the system which created by author is evaluating the wear of lathe tool by sensing its vibration during the cutting process, record its vibration on SD Card, then do the vibration analysis. The goal is to find the correlation between vibration, tool wear, and surface quality of the work piece. Finally, author can find the correlation between those aspects by using the accelerometer-based system and do several experiment trials.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | ADXL345 Accelerometer; Vibration; Arduino; Tool Wear |
Subjects: | S Agriculture > S Agriculture (General) > S698.5 Plant material cutting machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL589.2 Accelerometers |
Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
Depositing User: | Astuti Kusumaningrum |
Date Deposited: | 25 Sep 2020 16:19 |
Last Modified: | 25 Sep 2020 16:19 |
URI: | http://repository.sgu.ac.id/id/eprint/814 |
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