Predictive Process Adjustment by Detecting System Status of Vacuum Gripper in Real Time during Pick-Up Operations
In manufacturing systems, pick-up operations by vacuum grippers may fail owing to manufacturing errors in an object's surface that are within the allowable tolerance limits. In such situations, manual interference is required to resume system operation, which results in considerable loss of tim...
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| Veröffentlicht in: | Processes 2021-04, Vol.9 (4), p.634, Article 634 |
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| creator | Baek, Sujeong Kim, Dong Oh |
| description | In manufacturing systems, pick-up operations by vacuum grippers may fail owing to manufacturing errors in an object's surface that are within the allowable tolerance limits. In such situations, manual interference is required to resume system operation, which results in considerable loss of time as well as economic losses. Although vacuum grippers have many advantages and are widely used in the industry, it is highly difficult to directly monitor the current machine status and provide appropriate recovery feedback for stable operation. Therefore, this paper proposes a method to detect the success or failure of a suction operation in advance by analyzing the amount of outlet air pressure in the Venturi line. This was achieved by installing an air pressure sensor on the Venturi line to predict whether the current suction action will be successful. Through empirical experiments, it was found that downward movements in the z-axis of the vacuum gripper can easily rectify a faulty gripper suction operation. Real-time monitoring results verified that predictive process adjustment of the pick-up operation can be performed by modifying the z-position of the vacuum gripper. |
| doi_str_mv | 10.3390/pr9040634 |
| format | Article |
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In such situations, manual interference is required to resume system operation, which results in considerable loss of time as well as economic losses. Although vacuum grippers have many advantages and are widely used in the industry, it is highly difficult to directly monitor the current machine status and provide appropriate recovery feedback for stable operation. Therefore, this paper proposes a method to detect the success or failure of a suction operation in advance by analyzing the amount of outlet air pressure in the Venturi line. This was achieved by installing an air pressure sensor on the Venturi line to predict whether the current suction action will be successful. Through empirical experiments, it was found that downward movements in the z-axis of the vacuum gripper can easily rectify a faulty gripper suction operation. 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In such situations, manual interference is required to resume system operation, which results in considerable loss of time as well as economic losses. Although vacuum grippers have many advantages and are widely used in the industry, it is highly difficult to directly monitor the current machine status and provide appropriate recovery feedback for stable operation. Therefore, this paper proposes a method to detect the success or failure of a suction operation in advance by analyzing the amount of outlet air pressure in the Venturi line. This was achieved by installing an air pressure sensor on the Venturi line to predict whether the current suction action will be successful. Through empirical experiments, it was found that downward movements in the z-axis of the vacuum gripper can easily rectify a faulty gripper suction operation. 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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute |
| subjects | Control charts Decomposition Economic impact Empirical analysis Engineering Engineering, Chemical Failure analysis Fault diagnosis Grippers Manufacturing Power plants Pressure sensors Principal components analysis Product life cycle Real time Real time operation Science & Technology Sensors Statistical process control Suction Technology Vacuum |
| title | Predictive Process Adjustment by Detecting System Status of Vacuum Gripper in Real Time during Pick-Up Operations |
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