Predicting Gravity-Free Glass Shape Using Stress Simulation
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Solution Overview
Problem
Existing methods for measuring the gravity-free shape of glass sheets are cumbersome and limited in size, making it difficult to evaluate the original shape of large or thin sheets, and the accuracy and time of measurement are often questionable.
Innovation Solution
A method that predicts the gravity-free shape by determining the initial shape of a glass sheet, measuring stress values applied when flattened, and using a glass sheet model to simulate the removal of stress, allowing for the calculation of the gravity-free shape using 2D stress data and a nonlinear prediction algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional equipment is used to measure gravity-free shape, then measurement can be performed, but the measurement cannot handle glass sheets having relatively large sizes
Solution Approach 1:
The patent creates a virtual copy (digital model) of the glass sheet's gravity-free shape through computational methods rather than physical measurement. The system calculates the gravity-free shape by inputting current shape data and stress information, generating a predicted original shape that can be stored and referenced without requiring physical access to the entire large glass sheet.
Solution Approach 2:
The patent replaces mechanical measurement equipment with a computational model. Instead of using physical measuring devices that cannot accommodate large sheets, the system uses software algorithms to calculate and predict the gravity-free shape based on input data, substituting mechanical constraints with digital processing capabilities.
2Measurement precision
If glass sheets are cut into pieces for measurement, then measurement can be performed by conventional equipment, but the measurement process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary calculations and predictions during the manufacturing process itself. By continuously calculating and storing the gravity-free shape data as glass sheets are produced, the system eliminates the need for subsequent measurement and stitching operations, preparing all necessary data in advance for quality control and defect detection.
Solution Approach 2:
Instead of physically measuring and stitching together multiple pieces, the system creates a digital copy of the complete glass sheet's gravity-free shape through computational modeling. This virtual replica can be generated instantly from input data without requiring physical manipulation or assembly of measurement results.
3Loss of information
If conventional measurement methods are used, then some measurement data can be obtained, but the time and accuracy of measurement are difficult to verify
Solution Approach 1:
The system incorporates feedback mechanisms where the calculated gravity-free shape is stored in a database and can be referenced against actual measurements or defect reports. This feedback loop allows verification of measurement accuracy over time, as the system can compare predicted shapes with actual outcomes and adjust calculations accordingly.
Solution Approach 2:
The system creates a digital copy of the gravity-free shape that serves as a permanent, verifiable reference. This digital replica can be stored, retrieved, and compared with measurement data or defect information, providing a stable reference that maintains its accuracy and time-verification capabilities without the limitations of physical measurement records.
4Quantity of substance
If gravity-free shape measurement is performed manually or with conventional equipment, then measurement data can be collected, but the process is cumbersome and not suitable for high-volume production
Solution Approach 1:
The patent replaces manual or mechanical measurement processes with automated computational algorithms. The system automatically calculates gravity-free shapes from input data without human intervention, enabling high-volume processing of glass sheets through rapid digital computation rather than cumbersome physical measurement procedures.
Solution Approach 2:
The system creates digital copies of gravity-free shapes that can be generated instantly for each glass sheet. This digital replication process is much faster than physical measurement, allowing the system to handle large volumes of glass sheets quickly by simply processing data through computational models rather than performing repeated manual measurements.
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
Enables rapid and accurate prediction of the gravity-free shape of large and thin glass sheets, improving the evaluation process and enabling quality management by constructing a database of predicted shapes to identify and address defects.
Implementation Method 1
determining stress values applied to the glass sheet at a plurality of locations when the glass sheet is flattened
Implementation Method 2
predicting a shape which the glass sheet model will have when the same stress values are removed, as a gravity-free shape of the glass sheet
Data Source
AI summary
A method of predicting the gravity-free shape of a glass sheet and a method of managing the quality of a glass sheet based on the gravity-free shape of the glass sheet. The initial shape of a glass sheet is determined. When the glass sheet is flattened, values of stress at a plurality of locations in the glass sheet are obtained. A shape that the glass sheet will have when the flattened glass sheet is deformed such that the values of stress are zero is predicted as a stress-induced shape and a gravity-free shape of the glass sheet is predicted by combining the initial shape and the stress-induced shape. Quality management is performed on glass sheets based on gravity-free shapes thereof predicted using the method of predicting the gravity-free shape of a glass sheet.