Can Orientation Verification Using Imaging Sensors and Vacuum Removal
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Solution Overview
Problem
The manufacturing of beverage cans often results in orientation issues during the washing and drying processes, leading to adhesion problems with decorative ink and lacquer due to residual cleaning solution, which are not detected until after filling, causing waste and defects.
Innovation Solution
Implementing imaging sensors to monitor can orientation on a production line and automatically remove improperly oriented cans using a vacuum bridge by cutting off negative pressure, ensuring consistent orientation and preventing collateral defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If imaging sensors and automatic removal mechanisms are implemented to detect and remove improperly oriented cans, then manufacturing precision and quality control are improved, but device complexity increases
Solution Approach 1:
The imaging sensor detects improper can orientation early in the washing process before ink and lacquer are applied. This preliminary detection prevents defects from occurring in the first place, rather than detecting them after they occur during filling or pasteurization. The system takes preliminary action to identify and remove at-risk cans before they can develop adhesion problems.
Solution Approach 2:
The vacuum bridge serves as an intermediary mechanism between the imaging sensor detection system and the can removal action. It provides a controlled method to remove improperly oriented cans from the production line without disrupting the entire manufacturing process. The vacuum bridge acts as a mediator that translates detection data into physical removal action.
2Manufacturing precision
If all cans are thoroughly washed and dried to prevent adhesion issues, then ink adhesion quality is improved, but productivity decreases due to slower processing
Solution Approach 1:
Instead of applying uniform washing and drying treatment to all cans, the system identifies specific cans with improper orientation that require attention. The vacuum bridge selectively removes only those at-risk cans from the main production flow, allowing properly oriented cans to continue through the process at normal speed. This localized quality control maintains high throughput while ensuring defect prevention.
Solution Approach 2:
The system performs preliminary identification of improperly oriented cans before they enter the washing and drying stages. By detecting orientation issues early, the system can prevent defective cans from undergoing unnecessary washing and drying, thereby maintaining high production speed for good cans while preventing defects in at-risk cans through selective removal.
3Manufacturing precision
If cleaning solution spray force is increased to improve washing effectiveness, then cleaning quality is improved, but the likelihood of knocking cans over increases
Solution Approach 1:
The imaging sensor provides real-time feedback on can orientation during the washing process. When a can is detected to have overturned or is at risk of overturning, this feedback information is used to trigger the vacuum bridge removal mechanism. The feedback loop allows the system to respond dynamically to orientation changes, maintaining cleaning effectiveness while compensating for the increased risk of overturning caused by higher spray forces.
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
Prevents defects by ensuring proper can orientation, minimizing waste and equipment damage, and maintaining high-quality control standards throughout the manufacturing process.
Implementation Method 1
cutting off negative pressure, ensuring consistent orientation and preventing collateral defects
Implementation Method 2
monitoring, using at least one imaging sensor, a plurality of objects on a production line
Data Source
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AI summary
A method of monitoring an orientation of objects on a production line may include monitoring, using at least one imaging sensor, a plurality of objects on a production line. The method may include detecting that one object of the plurality of objects is in an improper orientation on the production line based on data from the at least one imaging sensor. The method may include automatically removing the one object from the production line upon detecting that the one object is in an improper orientation.