TY - GEN
T1 - Design of Efficient Orienting Machinery System for Oil Bottle Position Selection Line with Fuzzy Logic Control
AU - Aliffianto, Lutfir Rahman
AU - Budiprayitno, Slamet
AU - Priananda, Ciptian Weried
AU - Wicaksono, Ilham Agung
AU - Adhim, Fauzi Imaduddin
AU - Wardhana, Mochamad Raihan Dwi
AU - Rahayu, Lucky Putri
AU - Musthofa, Arif
AU - Suwondo, Heru
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In the oil filling production process, there are obstacles at the oil bottle position orientation selection stage, namely the position of the oil bottle which is still upside down or dropped. The cause of the obstacle is when detecting the orientation of the bottle with a tilted or dropped position, and also the unstable speed of the conveyor. These problems can affect the next production process, resulting in maintenance on the machine and production targets not being achieved. In solving this problem, an oil bottle position orientation detection is built with fuzzy logic control, the detection uses a combination of 3 infrared sensors. The placement of the three infrared sensors adjusts the shape of the bottle in order to detect the orientation of the bottle position, fuzzy logic control is obtained through the voltage output of the three sensors combined so that it can classify the orientation of the bottle position whether upside down, down, or in the same direction. If the orientation of the bottle position is detected to be upside down, it will move the stepper motor as a bottle orienting, and if the orientation of the bottle position is detected to have fallen, it will move the servo motor as a bottle sorter. Designing a system with fuzzy logic control can reduce the presence of inverted or dropped bottle positions, and also the tilted bottle position does not affect the detection of bottle position orientation. Assuming the entry of the bottle is intentionally upside down and falling, the orienting system can achieve 42% success and the sorting system can achieve 90% success, therefore the system can reduce the occurrence of maintenance caused by the position of the bottle upside down or falling.
AB - In the oil filling production process, there are obstacles at the oil bottle position orientation selection stage, namely the position of the oil bottle which is still upside down or dropped. The cause of the obstacle is when detecting the orientation of the bottle with a tilted or dropped position, and also the unstable speed of the conveyor. These problems can affect the next production process, resulting in maintenance on the machine and production targets not being achieved. In solving this problem, an oil bottle position orientation detection is built with fuzzy logic control, the detection uses a combination of 3 infrared sensors. The placement of the three infrared sensors adjusts the shape of the bottle in order to detect the orientation of the bottle position, fuzzy logic control is obtained through the voltage output of the three sensors combined so that it can classify the orientation of the bottle position whether upside down, down, or in the same direction. If the orientation of the bottle position is detected to be upside down, it will move the stepper motor as a bottle orienting, and if the orientation of the bottle position is detected to have fallen, it will move the servo motor as a bottle sorter. Designing a system with fuzzy logic control can reduce the presence of inverted or dropped bottle positions, and also the tilted bottle position does not affect the detection of bottle position orientation. Assuming the entry of the bottle is intentionally upside down and falling, the orienting system can achieve 42% success and the sorting system can achieve 90% success, therefore the system can reduce the occurrence of maintenance caused by the position of the bottle upside down or falling.
KW - Fuzzy Logic
KW - Orienting System
KW - Sorting System
UR - http://www.scopus.com/inward/record.url?scp=85186515795&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA60881.2023.10427823
DO - 10.1109/ICAMIMIA60881.2023.10427823
M3 - Conference contribution
AN - SCOPUS:85186515795
T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
SP - 942
EP - 947
BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Y2 - 14 November 2023 through 15 November 2023
ER -