Automatic Wheel Detecting Device Coaxiality Monitoring
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Solution Overview
Problem
In the wheel production process, existing technologies fail to automatically detect machining marks in spoke back cavities and accurately monitor coaxiality deviations between the inner and outer sides of wheels, leading to potential balance and runout issues that can go unnoticed until late in the production process.
Innovation Solution
An automatic wheel detecting device with a double-layer height adjustment system, featuring visual sensors and a tensioning mechanism that allows for precise detection of machining marks and coaxiality deviations, enabling real-time monitoring and alarm triggering for out-of-tolerance conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual detection methods are used for machining marks and coaxiality, then device complexity is reduced, but detection precision and automation level deteriorate
Solution Approach 1:
The patent replaces manual mechanical detection with an automated visual detection system. A visual sensor (camera) captures images of machining marks and center holes, while a control system processes these images to automatically detect mark presence, locate center holes, and measure coaxiality. This substitution of mechanical/manual operations with optical and computational systems resolves the contradiction by achieving high detection precision through automation while managing device complexity through integrated software control.
Solution Approach 2:
The detection system performs self-calibration and automatic measurement without requiring manual intervention. The visual sensor automatically captures images, the control system processes the images to identify features, and the system autonomously calculates coaxiality deviations. This self-service capability maintains high detection precision while reducing the operational complexity of manual measurement procedures.
2Adaptability or versatility
If fixed position detection is used, then device complexity is reduced, but adaptability to different wheel diameters deteriorates
Solution Approach 1:
The patent implements a movable platform that can adjust its position vertically and horizontally, allowing the visual sensor to adapt to different wheel diameters and mark positions. The platform's mobility enables dynamic repositioning to accommodate various wheel sizes, resolving the contradiction between adaptability and device complexity by using controlled mechanical movement rather than multiple fixed detection stations.
Solution Approach 2:
The movable platform serves multiple functions: it positions the visual sensor for different wheel diameters, adjusts the detection angle, and maintains optimal imaging distance. This multi-functionality achieves adaptability across various wheel types while managing device complexity by consolidating adjustment capabilities into a single integrated platform rather than requiring separate mechanisms for each function.
3Measurement precision
If single-layer adjustment system is used, then device complexity is reduced, but detection precision for different wheel positions deteriorates
Solution Approach 1:
The adjustment system is divided into two independent layers: the movable platform handles coarse position adjustment for different wheel diameters, while the rotating frame with adjustable visual sensor handles fine positioning for precise mark detection. This segmentation allows each layer to specialize in specific adjustment tasks, achieving high detection precision while managing overall device complexity through modular design.
Solution Approach 2:
The patent adds a rotational dimension to the adjustment system through the rotating frame. While the movable platform provides vertical and horizontal translation, the rotating frame adds angular adjustment capability, allowing the visual sensor to precisely locate marks at different angular positions. This dimensional expansion achieves comprehensive detection precision without requiring overly complex multi-axis mechanical systems.
Data Source
AI summary
The disclosure discloses an automatic wheel detecting device. The device can automatically detect marks of spoke back cavities and the inner side coaxiality and the outer side coaxiality of wheels, the wheels with marks being missed are identified in time, the values of the inner side coaxiality and the outer side coaxiality of the wheels on a production line are monitored in time, if the values are out of tolerance, an alarm is given out in time, and the device can be used for automatic production.