Integrated Temperature Deviation Tracking for Slab Defect Detection
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Solution Overview
Problem
Current continuous manufacturing processes, such as continuous steel casting, face challenges in detecting defects due to harsh environments and limitations in data collection, leading to difficulties in identifying temperature deviations that indicate defects, which can result in human error and missed defects.
Innovation Solution
The system tracks temperature data over time to calculate integrated temperature deviations at specific locations on the material surface, using multiple sensors aligned with the material's movement direction, and displays these deviations to help operators identify defects in real-time, allowing for corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to collect temperature data at different locations, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The mold is divided into multiple sensor locations, with at least two sensors positioned at different locations along the direction of material travel. Each sensor independently measures temperature at its specific location, enabling precise detection of localized temperature variations that indicate defects.
Solution Approach 2:
The system adds the time dimension to temperature measurement by tracking temperature data over time at each sensor location. This temporal dimension allows the system to detect consistent moving temperature drops that correspond to defects on the material surface, transforming static temperature snapshots into dynamic defect detection capability.
2Ease of operation
If raw temperature data is displayed directly, then data collection simplicity is maintained, but defect detection reliability decreases
Solution Approach 1:
The system introduces an intermediary processing layer that transforms raw temperature data into integrated temperature deviation values. This intermediary representation combines multiple sensor readings over time and presents them in a simplified visual format that highlights defect locations, making defect detection reliable while maintaining ease of operation.
Solution Approach 2:
The system provides visual feedback to operators by displaying integrated temperature deviation data that clearly indicates defect locations. This feedback mechanism allows operators to quickly identify and respond to defects without being overwhelmed by raw data complexity.
3Ease of manufacture
If thermocouples are used for temperature measurement, then ease of manufacture is improved, but measurement precision deteriorates due to electromagnetic interference and contact problems
Solution Approach 1:
The system replaces traditional thermocouple-based mechanical contact measurement with a non-contact or minimally invasive sensing approach. This substitution eliminates electromagnetic interference and contact problems that plague thermocouples, while maintaining ease of installation in the mold structure.
4Measurement precision
If sensors are placed tightly together in close proximity, then measurement precision is improved, but heat transfer through the mold is disrupted
Solution Approach 1:
Sensors are strategically positioned at specific locations within the mold where temperature measurement is most critical for defect detection. The sensor density and placement are optimized to capture relevant thermal patterns without excessively disrupting overall heat transfer through the mold structure.
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 approach simplifies complex sensor data into clear, actionable information, enabling operators to detect defects more accurately and take timely corrective actions, reducing human error and improving defect detection in continuous manufacturing processes.
Implementation Method 1
Recently, Fiber Bragg Grating (FBG) temperature measurement systems have been placed into molds. FBG molds can measure very high density temperatures across the entire length and width of the mold, without disrupting heat transfer, and with better accuracy.
Implementation Method 2
Current techniques for temperature measurement inside the mold typically involve monitoring the average heat flux based on the amount of heat absorbed by cooling water or based on embedded thermocouples in the copper walls of the mold.
Data Source
AI summary
Systems, methods, and apparatuses are provided herein that track an integrated deviation of a physical property of a material that corresponds to a variation or defect in the material. In one embodiment, molten steel begins to solidify and move past an instrumented region of a mold. Sensors in the mold can detect a deviation in temperature of the instrumented region of the mold that signifies a variation or defect in the surface of the slab material as it solidifies. The systems, methods, and apparatuses track the integrated temperature deviation to more clearly visualize defects that may otherwise not be detectable by simply observing the temperatures of the mold and slab material in real time.