TY - GEN
T1 - Retrofitting of Conventional Lathe Machine to Computer Numerically Controlled (CNC) Machine With Bluetooth and Mobile Application Capabilities
AU - Sowah, Robert A.
AU - Asare-Dartey, Jacqueline D.
AU - Acakpovi, Amevi
AU - Osei, Gifty
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Computer Numerically Controlled (CNC) machines play an integral and irreplaceable role in manufacturing industries. It not only realizes rapid industrial production but also saves manpower and material resources. Conventional machining tools, such as the manually operated lathe machine, are inefficient. They are quite challenging for commercial purposes due to low production capability, hence the need for CNC machines to enhance industrial automation productivity. Currently, many conventional lathe machines are used in industries in the country. The need to migrate the manual operations of these machines to full or semi-automation status is of utmost importance. It is required to convert these machines to semi-automatic lathes by retrofitting to grow the country's development in the machining industry. Converting the manual lathe into a semi-automatic lathe requires three significant modifications: electronics, mechanics, and hydraulic components. In this paper, we propose a computer numerically controlled automation system for converting the conventional lathe machine, by developing mobile and web applications to perform automation tasks. The conversion process was carried out on a mini center lathe machine at the Ghana Atomic Energy Commission at Kwabenya in Accra. Firstly, unnecessary components such as the gearbox and handwheels were removed and mounts for the various motors for the automation tasks were added to the machine as part of the mechanical system component modification. The electronic component modification involved installing stepper motors for the lathe machine's X, Y, and Z axes. The Arduino microcontroller controlled the motors via the motor drive systems. At the end of the conversion, the newly retrofitted machine could machine a designed part successfully when the machining instruction in G-code format was sent to the microcontroller. Instructions were decoded and executed successfully.
AB - Computer Numerically Controlled (CNC) machines play an integral and irreplaceable role in manufacturing industries. It not only realizes rapid industrial production but also saves manpower and material resources. Conventional machining tools, such as the manually operated lathe machine, are inefficient. They are quite challenging for commercial purposes due to low production capability, hence the need for CNC machines to enhance industrial automation productivity. Currently, many conventional lathe machines are used in industries in the country. The need to migrate the manual operations of these machines to full or semi-automation status is of utmost importance. It is required to convert these machines to semi-automatic lathes by retrofitting to grow the country's development in the machining industry. Converting the manual lathe into a semi-automatic lathe requires three significant modifications: electronics, mechanics, and hydraulic components. In this paper, we propose a computer numerically controlled automation system for converting the conventional lathe machine, by developing mobile and web applications to perform automation tasks. The conversion process was carried out on a mini center lathe machine at the Ghana Atomic Energy Commission at Kwabenya in Accra. Firstly, unnecessary components such as the gearbox and handwheels were removed and mounts for the various motors for the automation tasks were added to the machine as part of the mechanical system component modification. The electronic component modification involved installing stepper motors for the lathe machine's X, Y, and Z axes. The Arduino microcontroller controlled the motors via the motor drive systems. At the end of the conversion, the newly retrofitted machine could machine a designed part successfully when the machining instruction in G-code format was sent to the microcontroller. Instructions were decoded and executed successfully.
KW - Bluetooth
KW - CNC machine
KW - Computer-Aided Manufacturing
KW - g-code
KW - mobile application
KW - task automation
UR - http://www.scopus.com/inward/record.url?scp=85217836651&partnerID=8YFLogxK
U2 - 10.1109/ICAST61769.2024.10856505
DO - 10.1109/ICAST61769.2024.10856505
M3 - Conference contribution
AN - SCOPUS:85217836651
T3 - IEEE International Conference on Adaptive Science and Technology, ICAST
BT - Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024
PB - IEEE Computer Society
T2 - 9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024
Y2 - 24 October 2024 through 26 October 2024
ER -