Aluminum Wheel Cast Blank Center Depth Detection
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Solution Overview
Problem
The low-pressure cast aluminum wheel industry faces challenges in achieving consistent wheel center depth due to random casting tolerances, leading to poor cap groove dimensions and increased manufacturing costs, as direct delivery of cast blanks to automatic machining units results in low acceptability rates and high labor intensity.
Innovation Solution
A device comprising a roller way tray, position sensor, CCD camera, programmable controller, laser distance measurement sensor, servo-cylinders, and motors is used to detect the wheel center depth of aluminum wheel cast blanks, allowing for classification into near-to-upper or near-to-lower limit groups and adjusting machining programs accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cast wheel blanks are directly delivered to automatic machining units without detection, then production efficiency is maintained, but the acceptability rate of machined products decreases due to random casting tolerances
Solution Approach 1:
The system performs preliminary detection of wheel center depth before machining using a laser distance measurement sensor and CCD camera. The detection occurs in advance during the conveying process, allowing the system to identify blanks with extreme values and route them to appropriate machining units with adjusted programs, thereby preventing dimension deviations before machining occurs.
Solution Approach 2:
The system changes the machining parameters (cutting depth, positioning reference) based on the detected wheel center depth values. By adjusting machining parameters according to the detected parameter variations in cast blanks, the system compensates for casting tolerances and ensures consistent cap groove dimensions regardless of the initial blank variations.
2Manufacturing precision
If manual inspection and sorting of cast blanks is implemented, then machining precision is improved, but labor intensity increases and production efficiency decreases
Solution Approach 1:
The system replaces manual inspection and sorting operations with an automated detection system comprising laser distance measurement sensors, CCD cameras, and a programmable controller. This substitution eliminates the need for manual measurement and classification of cast blanks, significantly reducing labor intensity while maintaining high detection accuracy and production flow efficiency.
Solution Approach 2:
The system enables self-service by automatically detecting, classifying, and routing cast blanks based on their wheel center depth measurements. The programmable controller autonomously determines which machining unit should process each blank and adjusts machining programs accordingly, eliminating the need for human operators to manually inspect and sort blanks.
3Manufacturing precision
If automatic detection and classification of wheel center depth is implemented, then product acceptability rate increases, but device complexity increases
Solution Approach 1:
The detection system is designed with multi-functionality to justify its complexity. The same system performs multiple tasks: detecting wheel center depth, identifying extreme values, classifying blanks into different groups, controlling roller way trays for sorting, and adjusting machining programs. This universal approach consolidates multiple functions into one integrated system, making the complexity worthwhile by significantly improving product acceptability.
Solution Approach 2:
The programmable controller serves as an intermediary that coordinates between the detection sensors, the conveying system, and the machining units. It processes detection data, determines classification categories, generates control signals for roller way trays, and adjusts machining programs, thereby managing system complexity through centralized intelligent control rather than requiring complex mechanical sorting mechanisms.
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 solution enables accurate detection and classification of wheel center depth, reducing the impact of casting tolerances on machining dimensions, increasing product acceptability rates, and reducing operator labor intensity by ensuring high-quality and quantity production.
Implementation Method 1
a laser distance measurement sensor (7), wherein: the frame (4) is suspended above the roller way tray (1)
Implementation Method 2
a position sensor (3)... enabling the machining position reference plane (9) of the wheel cast blank (2) in contact with the position sensor (3)
Implementation Method 3
actuating the CCD camera (5) that is mounted on the frame (4) to collect an image of the wheel cast blank (2)
Data Source
AI summary
The invention relates to a device and method for detecting the wheel center depth of an aluminum wheel cast blank, the device includes a roller way tray, a position sensor, a frame, a CCD camera, a programmable controller and a laser distance measurement sensor, an upper servo-cylinder, a motor support, a servo-motor and a lower servo-cylinder. The invention has the following advantages: the method for automatically detecting and identifying the wheel center depth of an aluminum wheel cast blank is utilized for the identification and classification of wheel cast blanks, so as to reduce the influence of large casting dimension tolerance on the machining dimension tolerance, increase the acceptability rate of products from the automatic machining unit, ensure that the production line automatically runs with high quality and quantity and also reduce the labor intensity of operators.