Induction Annealing Control Using Light Emission Feedback
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Solution Overview
Problem
Existing induction annealing technologies face challenges in precisely controlling heat application for brass cartridge cases, as they are labor-intensive and unsuitable for mixed batches from different manufacturers, and temperature estimation methods are inaccurate due to varying emissivity.
Innovation Solution
An induction annealing apparatus with a light sensor and controller that monitors visible and near-visible infrared light emitted by the cartridge cases to determine the Draper point, controlling heating time based on this emission, and optionally sorting cases into groups based on heating time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If inductive heating apparatus is calibrated for each type of brass case, then annealing precision is improved, but labor intensity increases
Solution Approach 1:
The system uses the brass case itself to provide calibration information by measuring its heating characteristics during the annealing process. The microprocessor monitors temperature rise rate and uses this self-provided data to automatically determine case type and adjust parameters, eliminating the need for manual calibration of each case type.
Solution Approach 2:
The system dynamically changes heating parameters based on real-time measurement of the case's thermal response. By monitoring the rate of temperature rise and adjusting power delivery accordingly, the system adapts to different case types without manual intervention, maintaining precision while reducing labor.
2Ease of operation
If thermal radiation detection is used to estimate temperature, then non-contact measurement is achieved, but accuracy decreases due to varying emissivity
Solution Approach 1:
The system uses feedback from the heating process itself - measuring the rate of temperature rise during active heating - to infer case type and calibration parameters. This feedback mechanism provides accurate identification without relying on emissivity-based radiation measurements, combining non-contact operation with high precision.
Solution Approach 2:
The system uses the heating process as an intermediary to obtain measurement data. Rather than directly measuring temperature through radiation (which suffers from emissivity variations), the system measures the heating rate as an intermediate parameter that uniquely identifies case type and enables accurate temperature control.
3Reliability
If annealing time is extended to ensure sufficient heating, then annealing completeness is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts heating parameters in real-time based on the measured heating rate. By continuously monitoring temperature rise and adapting power delivery, the system delivers exactly the energy needed for complete annealing without excess, optimizing both reliability and energy efficiency.
Solution Approach 2:
The system replaces fixed-time mechanical control with intelligent, measurement-based control. The microprocessor uses real-time temperature monitoring to determine when annealing is complete, substituting predetermined time-based heating with adaptive control that minimizes energy consumption while ensuring completeness.
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
Achieves precise and automated annealing control, ensuring consistent temperature application and efficient sorting of brass cartridge cases, reducing labor and improving process accuracy.
Implementation Method 1
induction coil for heating at least a portion of the object
Implementation Method 2
Inductive heating can be used to transfer sufficient energy to the brass neck to cause the required heating
Implementation Method 3
Objects at a temperature greater than 0 degrees Kelvin (absolute zero) emit thermal (electromagnetic) radiation
Implementation Method 4
monitoring for a change in the light emitted by the object, for example the visible light emitted by the object (or light in the near-visible infrared range)
Data Source
AI summary
An apparatus for induction annealing an object is disclosed. The apparatus comprises an induction coil for heating at least a portion of the object and an alternating current source electrically connected or selectively connectable to the induction coil. The apparatus further comprises a light sensor and a controller. The controller controls the time during which the object is heated by the induction coil based on detection, by the light sensor, of visible and/or near-visible infrared light emitted by the object.