Industrial Heater Soak Time Correction From Thermal Energy Variation
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Solution Overview
Problem
Industrial heaters face inefficiencies in soak time due to temperature differences between the center and periphery of heating chambers, leading to wasted energy and extended cycle times, especially when partially loaded, and lack automated diagnosis for abnormal heating functions.
Innovation Solution
A temperature control apparatus and method that adjusts soak time based on the variation of thermal energy per unit time, accounting for temperature tolerance and load conditions, and includes self-diagnosis for abnormal heating functions to optimize energy use and productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If the heater is installed at the outer side of the chamber to save space, then the chamber capacity is maximized, but the center of the chamber takes more time to reach the predetermined temperature
Solution Approach 1:
The system performs preliminary measurement of temperature equalization time during a calibration phase with full load, storing this data for later use. This preliminary action allows the system to quickly determine soak time for partial loads without performing real-time measurements, thus saving time during actual heating operations.
Solution Approach 2:
The system dynamically adjusts the soak time based on the actual load amount detected. Instead of using a fixed soak time, the controller calculates the appropriate soak time by comparing the current load with the calibration data, enabling the system to adapt to varying loading conditions and optimize heating time accordingly.
2Stability of the object's composition
If the soak time is set based on full load capacity to ensure center temperature equalization, then temperature uniformity is achieved, but excessive time is wasted when the chamber is partially loaded
Solution Approach 1:
The system dynamically adjusts the soak time based on the actual load amount detected. Instead of using a fixed soak time calibrated for full load, the controller calculates the appropriate soak time by comparing the current load with the calibration data, enabling the system to adapt to varying loading conditions and optimize heating time accordingly.
Solution Approach 2:
The system changes the soak time parameter based on the load condition. By detecting the actual load amount and referencing the calibration data, the system determines an optimized soak time that is proportional to the load, thereby reducing unnecessary soaking time for partial loads while maintaining temperature uniformity.
3Ease of operation
If a fixed soak time is used for all loading conditions, then the process is simple to operate, but energy is wasted when the chamber is partially loaded
Solution Approach 1:
The system performs self-diagnosis by automatically detecting abnormal heating conditions through monitoring the relationship between thermal energy input and temperature change. The controller compares the actual temperature rise with the expected rise based on input energy, and autonomously identifies issues such as heater failure, heat insulation problems, or sensor errors without requiring manual intervention.
Solution Approach 2:
The system uses feedback from temperature sensors and energy input data to monitor heating efficiency. By continuously comparing the expected temperature rise (based on input energy and calibration data) with the actual temperature rise, the system can detect abnormalities and provide feedback for process optimization or maintenance alerts.
4Measurement precision
If the soak time is determined by monitoring thermal energy supply amount, then the temperature equalization time point can be accurately determined, but the system complexity increases
Solution Approach 1:
The system performs preliminary measurement of temperature equalization time during a calibration phase with full load, storing this data for later use. This preliminary action allows the system to quickly determine soak time for partial loads without performing real-time measurements, thus saving time during actual heating operations.
Solution Approach 2:
The system dynamically adjusts the soak time based on the actual load amount detected. Instead of using a fixed soak time, the controller calculates the appropriate soak time by comparing the current load with the calibration data, enabling the system to adapt to varying loading conditions and optimize heating time accordingly.
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 shortens soak time by determining the temperature equalization time point based on thermal energy variation, reducing energy waste and cycle time, and provides automated alerts for abnormal conditions, enhancing productivity and reducing carbon emissions.
Implementation Method 1
a heater inputting thermal energy to heat the interior of the chamber
Implementation Method 2
a control temperature sensor measuring a temperature of the chamber interior
Implementation Method 3
a controller detecting a variation of the thermal energy or a variation of a thermal energy regulating signal
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
Provided is a temperature controllers for an industrial heating apparatus including a chamber accommodating a heating target, a heater inputting thermal energy to heat an interior of the chamber, a control temperature sensor measuring the temperature of the chamber interior, and a controller detecting a variation of the input thermal energy and adjusting a soak time on the basis of the variation of the thermal energy. Accordingly, since a temperature equalization time point prior to a thermal equilibrium time point of the center is determined by reflecting an temperature tolerance in the chamber and a soak time is corrected and since the temperature equalization time point is set on the basis of a full load state in which the variation of the input thermal energy per time is the smallest, the temperature at the center falls within an allowable upper/lower limit range even a partial load state is applied, whereby the temperature control apparatus and method for an industrial heater applicable regardless of amount of a heating target may be provided.