Vehicle Door Hinge Positioning Using Deflection Prediction
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Solution Overview
Problem
Conventional methods for mounting vehicle doors are inefficient due to unpredictable distances and steps between the door and the vehicle body, leading to significant time consumption and potential quality deterioration as operators repeatedly adjust hinge positions to find an optimal installation.
Innovation Solution
A system and method that predicts door deflection and gap/step differences using weight data and position range data to generate positioning data for the hinge unit, allowing for pre-advanced setting of door positions, thereby improving production quality and reducing costs and time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If operators repeatedly adjust hinge positions to determine optimal door position, then positioning accuracy is improved, but production time increases significantly
Solution Approach 1:
The system performs preliminary calculations of door deflection and body deflection based on weight data and position range data before actual door installation. The control unit computes gap prediction values and step difference prediction values in advance, allowing operators to directly install the door at the predicted optimal position without repeated adjustments, thus resolving the contradiction between positioning accuracy and production time
Solution Approach 2:
The patent replaces the manual trial-and-adjustment mechanical process with an automated computational system. The control unit uses prediction algorithms to calculate optimal hinge positions based on weight data, eliminating the need for operators to physically adjust hinge positions multiple times, thereby substituting mechanical adjustment with computational prediction
2Strength
If door weight is increased to improve durability, then door strength is improved, but door deflection increases affecting positioning accuracy
Solution Approach 1:
The control unit receives weight data of the door and uses it as input for calculating door deflection and body deflection. This feedback mechanism allows the system to adjust the predicted optimal position based on the actual door weight, compensating for the increased deflection caused by heavier doors and maintaining positioning accuracy despite improved door strength
Solution Approach 2:
The system changes the parameter of door weight from a fixed design parameter to a variable input that directly influences the positioning calculation. By incorporating weight data into the deflection calculation, the system adapts the optimal position prediction to account for variations in door weight, allowing heavier doors to be positioned accurately despite increased deflection
Data Source
AI summary
A system for controlling manufacturing of a vehicle door can set a position of the door by predicting a deflection thereof. The system includes a control unit detecting weight data of the door by vehicle model and position range data, generating a door deflection amount and a body deflection amount based on the weight data and the position range data, detecting a gap prediction value and a step difference prediction value according to the door deflection amount and the body deflection amount, and generating a result list including positioning data of the hinge unit if the gap prediction value and the step difference prediction value exist within a quality reference range, and a prediction unit configured to predict the gap prediction value and the step difference prediction value at which the body and the door are spaced apart based on the door deflection amount and the body deflection amount.