Suction Element Status Prediction for Reliable Workpiece Removal
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Solution Overview
Problem
Existing automated sheet metal processing machines face downtime and increased manufacturing costs due to damaged or worn suction elements in removal devices, which prevents successful removal of workpieces, reducing autonomy and requiring additional resources.
Innovation Solution
A computer-supported manufacturing method that determines the status of suction elements, selects suitable suction elements based on workpiece geometry, predicts the success of removal, and only proceeds with manufacturing if successful removal is predicted, thereby avoiding unnecessary production delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the processing device operates autonomously without checking suction element status, then productivity increases, but reliability deteriorates due to potential removal failures from damaged suction elements
Solution Approach 1:
The system performs preliminary determination of suction element status and prediction of removal success before the actual manufacturing and removal process. This advance checking allows the system to identify potential removal failures beforehand, enabling preventive measures such as replacing damaged suction elements or adjusting processing schedules, thus maintaining high reliability without compromising productivity
2Reliability
If additional removal devices or operators are provided to handle removal failures, then reliability improves, but device complexity and manufacturing costs increase
Solution Approach 1:
The removal device is equipped with self-diagnostic capabilities through sensors that automatically monitor its own suction element status. The system can independently determine whether suction elements are damaged and predict removal success without external intervention. This self-monitoring and self-assessment capability maintains reliability while avoiding the need for additional removal devices or operators
Solution Approach 2:
The system implements a feedback mechanism where sensor data about suction element status is continuously fed back to the control unit. Based on this feedback, the system can predict removal success and adjust its operations accordingly, creating a closed-loop control system that maintains reliability through intelligent monitoring rather than through redundancy of hardware
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method reduces manufacturing costs and downtime by ensuring that only workpieces with a high likelihood of successful removal are manufactured, maintaining a high degree of autonomy in the manufacturing process.
Implementation Method 1
removal devices which remove finished workpieces from a removal area of the sheet metal processing machine... Corresponding removal devices typically have vacuum suction elements that are designed to pick up a workpiece to be removed
Data Source
AI summary
A computer-supported manufacturing method for manufacturing at least one workpiece according to a manufacturing order using a processing device and for removing the workpiece from the processing device using a removal device having multiple suction elements is provided. The method includes determining a suction element status for the multiple suction elements, determining suction elements among the multiple suction elements that are capable of being used to remove the workpiece based on a workpiece geometry of the workpiece to be removed, predicting a chance of removal success for the workpiece according to the suction element status of the suction elements that are capable of being used for removal, and carrying out the manufacturing order by the processing device upon predicting a successful removal of the workpiece by the removal device.