Induction heating optimization method and system based on numerical simulation
By optimizing the design of the induction heating coil through numerical simulation, the problems of low kiln heating efficiency and temperature control were solved, resulting in a high-efficiency, safe, and controllable kiln system suitable for high-temperature purification or smelting processes.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-08
- Publication Date
- 2026-03-13
AI Technical Summary
Traditional kiln heating methods suffer from low thermal efficiency, difficulty in treating exhaust gas emissions, difficulty in controlling temperature uniformity, complex systems, and safety hazards. Induction heating coil design relies on experience and trial and error, resulting in high costs and long cycles, and can only heat conductive materials.
A numerical simulation-based approach was adopted, which involved establishing a three-dimensional geometric model, setting electromagnetic and thermal field parameters, meshing, running an electromagnetic-thermal coupled solver, optimizing the induction coil design, and integrating a kiln system with a high-frequency power supply, a water-cooled copper crucible, a multi-layer heat-insulating furnace lining, and a high-airtightness sealing structure.
It achieves efficient heating, excellent temperature uniformity, and strong process controllability, significantly reducing R&D costs and time, improving equipment safety, and providing intelligent precision heat treatment solutions.
Smart Images
Figure CN121659653A_ABST
Abstract
Description
Technical Field
[0001] This invention mainly relates to the field of kiln technology, specifically to an induction heating optimization method and system based on numerical simulation. Background Technology
[0002] Currently, kilns primarily utilize a traditional heating method that generates high-temperature flue gas through fuel combustion, transferring heat to the product via convection and radiation. Fuel and combustion air are mixed in a burner and injected into the furnace for combustion. The resulting high-temperature flame and flue gas flow within the furnace, with heat primarily transferred to the product through gas radiation and high-temperature furnace wall / roof radiation, with some heat transfer via convection. This traditional heating method typically has lower operating costs than electric heating (depending on local fuel and electricity prices) and is suitable for processes requiring an oxidizing atmosphere (such as ceramic sintering). However, this heating method often generates combustion exhaust gases, necessitating the installation of exhaust and environmental treatment devices such as incinerators. Heat loss occurs due to the exhaust gases, resulting in relatively low thermal efficiency. Furthermore, maintaining uniform temperature within the furnace is relatively difficult, requiring complex gas / air piping and safety control systems.
[0003] Electric heating is mainly resistance heating, the heating element is easily damaged and the replacement cost is high; the heating speed is relatively slow and depends on the thermal radiation of the heating element and the convection of air in the furnace, and there is a large thermal inertia; it is not suitable for all atmospheres; and the thermal efficiency is low in the low temperature range.
[0004] Therefore, induction heating is used. However, traditional induction heating coil design relies on experience and trial and error, requiring the fabrication of multiple physical coils for testing, which is costly and time-consuming. Furthermore, traditional induction heating has relatively low efficiency and poor heating uniformity, and it can only heat conductive materials: this is its biggest limitation. The initial investment in equipment is also huge, and a supporting cooling system is required. Summary of the Invention
[0005] To address the technical problems existing in the prior art, this invention provides a numerical simulation-based induction heating optimization method and system for accurately optimizing the distribution of magnetic and temperature fields.
[0006] To solve the above-mentioned technical problems, the technical solution proposed by this invention is as follows: A numerical simulation-based optimization method for induction heating includes the following steps: S1. Establish a three-dimensional geometric model including the induction coil, workpiece, and magnetic conductor; define the temperature-dependent electromagnetic and thermophysical properties of the materials of each component in the model; S2. Based on the three-dimensional geometric model, set the electromagnetic parameters and thermal field parameters; S3. Mesh the three-dimensional geometric model established in S1; refine the mesh in the eddy current concentration region determined by the electromagnetic parameters set in S2, and in the region where a large temperature gradient is expected in the thermal field analysis. S4. Run the electromagnetic-thermal sequential coupling solver. Based on the parameters set in S2 and the mesh generated in S3, calculate the transient distribution of the electromagnetic field and temperature field. In each time step, the material properties are dynamically updated according to the current temperature field and iteratively solved. S5. Process the field distribution data obtained from S4, generate visualization results, and extract key performance indicators.
[0007] Preferably, the electromagnetic properties in step S1 include resistivity and permeability; the thermophysical properties include thermal conductivity, specific heat capacity, and density.
[0008] Preferably, the electromagnetic parameters in step S2 include the coil excitation current and frequency; the coil excitation current is a sinusoidal alternating current with an amplitude of 500A and a frequency of 150kHz; the thermal field parameters include the initial temperature, convection and radiation boundary conditions, and cooling conditions. Preferably, in step S3, the induction coil, the water-cooled copper crucible, and the molten sodium chloride area are subjected to mesh densification. The specific strategy is to use a sweeping method to generate a structured mesh: four layers of units are arranged in the width direction, and the unit size in the length and thickness directions is uniformly controlled to 2mm; in addition, three additional layers of mesh are densified in the estimated skin depth layer.
[0009] Preferably, the specific process of step S4 is as follows: First, the eddy current distribution and Joule heating generated by the alternating current are calculated in the electromagnetic analysis module. Then, the heat generation is imported as a volume heat source into the subsequent heat conduction analysis to solve for the temperature field distribution. In this process, all material property parameters are defined as functions of temperature. The material behavior description with temperature changes is realized by using the built-in function tools of ANSYS or by importing external data. In each time step of the coupled calculation, the material parameters of each region are dynamically updated according to the temperature value calculated in the current step, and the electromagnetic-thermal bidirectional iterative solution is performed again until the solution in the time step meets the convergence condition. Then, the updated material properties are passed to the next time step to continue the iterative process. This process is repeated until the preset total simulation time is reached, and finally, multiple key results including electromagnetic field distribution, temperature field evolution, and heat generation rate are output, completing the entire numerical simulation process.
[0010] Preferably, the process further includes step S6. Based on the optimized induction coil geometry and process parameters from S5, a physical induction coil is manufactured and integrated into a kiln system comprising a high-frequency power supply, a water-cooled copper crucible, a multi-layer heat-insulating furnace lining, and a high-airtightness sealing structure.
[0011] This invention also discloses a kiln induction heating system, wherein the induction heating unit employs an induction coil optimized using the method described above; the system further includes: A high-frequency power supply system is used to power the induction coil; Water-cooled copper crucible, used to hold materials to be heated; The furnace body structure includes a multi-layer composite heat-insulating lining and a highly airtight sealing structure to support a vacuum or controlled atmosphere environment. The temperature control system integrates multiple types of temperature sensors and controllers to achieve precise temperature program control.
[0012] Preferably, it also includes a waste gas treatment module for purifying the waste gas generated during the process.
[0013] The present invention also discloses a computer-readable storage medium having a computer program stored thereon, the computer program performing the steps of the method described above when run by a processor.
[0014] The present invention further discloses an induction heating optimization system based on numerical simulation, including a memory and a processor connected to each other. The memory stores a computer program, which executes the steps of the method described above when run by the processor.
[0015] Compared with the prior art, the advantages of the present invention are as follows: This invention, by introducing multiphysics numerical simulation technology, performs parametric modeling and automatic optimization of induction heating coils, fundamentally overcoming the problems of long development cycles and high costs associated with traditional trial-and-error methods. This method can precisely optimize the distribution of magnetic and temperature fields, thereby simultaneously achieving extremely high heating efficiency, excellent temperature uniformity, and superior process controllability. It not only retains the advantages of fast and clean induction heating but also significantly improves equipment safety and reliability, providing an efficient and economical solution for intelligent precision heat treatment.
[0016] The kiln of this invention significantly shortens the new product development cycle, reduces development and trial-and-error costs, and enables the design of products with superior performance and lower energy consumption. It provides precise insights into the process window, enabling the early prediction and avoidance of production defects, achieving high-quality, highly consistent production, and laying the foundation for an intelligent, adaptively controlled "factory of the future," moving towards greater efficiency, precision, intelligence, and greener practices. Attached Figure Description
[0017] Figure 1 The flowchart below shows an embodiment of the numerical simulation-based induction heating optimization method of the present invention.
[0018] Figure 2This is a simulation model diagram of the three-dimensional induction heating electromagnetic-thermal coupling field of the present invention.
[0019] Figure 3 This is a structural diagram of the purification furnace of the present invention in an embodiment.
[0020] Legend: 1. Induction coil; 2. Water-cooled copper crucible; 3. Molten pool. Detailed Implementation
[0021] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.
[0022] like Figure 1 As shown, the induction heating optimization method based on numerical simulation provided in this embodiment of the invention includes the following steps: S1. First, perform geometric modeling to establish accurate three-dimensional models of coils, workpieces, magnetic conductors, etc. Specifically, complete the geometric modeling in the ANSYS simulation environment to build a three-dimensional electromagnetic field simulation model suitable for the induction heating process. Define material properties: Input the electromagnetic properties (resistivity, permeability) and thermophysical properties (thermal conductivity, specific heat capacity, density) of all materials as a function of temperature. Specifically, using molten sodium chloride as the object to be heated, a corresponding three-dimensional induction heating electromagnetic-thermal coupled field simulation model is constructed, the overall structure of which is as follows: Figure 2 As shown, the model mainly consists of three parts: an induction coil 1, a water-cooled copper crucible 2, and a molten pool 3 inside. The induction coil 1 has a total of two turns, with an inner diameter of 154 mm and an outer diameter of 174 mm. The radius of a single coil cross-section is 5 mm, and it occupies a height of 25 mm in the axial direction. It should be noted that the number of turns of the coil is not fixed and can be increased accordingly based on specific experimental conditions, process requirements, and actual heating efficiency needs, demonstrating the flexibility and adaptability of the model design.
[0023] Regarding the setting of key parameters for the model, after preliminary parameter sensitivity analysis and optimization, this invention selected a set of optimal configurations: the material conductivity of induction coil 1 is set to 5.999 × 10⁻⁶. 7 With a relative permeability of 1 and a magnetic field strength of S / m, its axis coincides with the central axis of the water-cooled copper crucible 2 to ensure magnetic field symmetry and reduce calculation errors. The water-cooled copper crucible 2 has a total height of 120mm, an inner diameter of 120mm, and is made of copper with a conductivity of 3.999 × 10⁻⁶. 7 S / m, and the relative permeability is also 1.
[0024] The molten chloride salt at the bottom of the crucible is cylindrical with a base radius of 58 mm and a height of 50 mm. Its electrical conductivity is set to 1350 S / m and its relative magnetic permeability to be 1. These parameters are determined based on the actual physical properties of the molten salt under high-temperature conditions.
[0025] S2. Multiphysics Parameter Settings: Based on the model established in S1, set the electromagnetic field parameters, including the coil excitation current and frequency; and set the thermal field parameters, including the initial temperature, convection and radiation boundary conditions, and cooling conditions. Regarding the excitation conditions, a sinusoidal alternating current with an amplitude of 500A and a frequency of 150kHz is applied to the upper end of induction coil 1, while the lower end is set as the current return terminal, forming a closed loop. Considering that the skin effect generated under high-frequency alternating current excitation will significantly affect the distribution of the electromagnetic field and the generation of the heat source, and has a key impact on the accuracy of the induction heating process, the mesh of the relevant region must be refined. To accurately simulate the attenuation behavior of the electromagnetic field in free space, a cubic air domain with a size of 1m×1m×1m is set around the model, and discretized using free hexahedral elements. The outer boundary condition of this region is set as a free space boundary to simulate an infinite space and avoid electromagnetic wave reflection from interfering with the internal field.
[0026] In ANSYS, for coupled problems involving the interaction of electromagnetic and temperature fields, the physical environment method in sequential coupling analysis is used for solution. The advantage of this method is that it can handle the governing equations of the electromagnetic and thermal fields separately, and achieve the coupling effect through data transfer between the two physical fields.
[0027] S3. Adaptive mesh generation: The geometric model established in S1 is meshed, and the mesh is refined in the eddy current concentration region determined by the electromagnetic field parameters set in S2, and in the region where the expected temperature gradient is large in the thermal field analysis. This invention specifically implements mesh refinement for the induction coil 1, the water-cooled copper crucible 2, and the molten sodium chloride region. The specific strategy is to generate a structured mesh using a sweeping method: four layers of units are arranged in the width direction, and the unit size in the length and thickness directions is uniformly controlled to 2mm.
[0028] Furthermore, to accurately capture the exponential decay characteristics of the induced current within the skin depth range, three additional mesh layers were added within the estimated skin depth layer. This measure significantly improves the accuracy of electromagnetic parameter identification and heat source calculation while maintaining computational efficiency, thereby ensuring high reliability of the simulation results.
[0029] S4. Coupled Field Calculation: Run the electromagnetic-thermal sequential coupled solver. Based on the parameters set in S2 and the mesh generated in S3, calculate the transient distribution of the electromagnetic field and temperature field. In each time step, the material properties are dynamically updated according to the current temperature field and iteratively solved. Specifically, the electromagnetic analysis module first calculates the eddy current distribution and Joule heating generated by the alternating current. Then, the heat generation is imported as a volume heat source into the subsequent heat conduction analysis to solve for the temperature field distribution. During this process, all material properties (such as electrical conductivity, thermal conductivity, and specific heat capacity) are defined as functions of temperature. The material behavior as a function of temperature is described using ANSYS's built-in functions or imported data. At each time step of the coupled calculation, the system dynamically updates the material parameters of each region based on the temperature value calculated in the current step, and performs a new electromagnetic-thermal bidirectional iterative solution until the solution for that time step meets the convergence condition.
[0030] The program then passes the updated material properties to the next time step, continuing the iterative process. This cycle repeats until the preset total simulation time is reached, ultimately outputting several key results, including electromagnetic field distribution, temperature field evolution, and heat generation rate, completing the entire numerical simulation process.
[0031] S5. Results Analysis and Design Optimization: Process the field distribution data obtained from S4, generate visualization results such as temperature cloud maps, magnetic field distribution maps, and animations, and extract data such as temperature-time curves, energy efficiency, and hardened layer depth of key points for quantitative analysis. The induction heating technology of this invention has the advantages of extremely fast heating speed, high thermal efficiency, vacuum / atmosphere protection, cleanliness, and electromagnetic stirring (melting). Numerical simulation technology is applied to find the optimal coil geometry and process parameters in S2, targeting temperature uniformity, heating efficiency, or specific heating modes. Numerical simulation can accurately visualize the distribution of magnetic field lines, guiding the shape design and placement of the magnetic conductor, ensuring that magnetic field energy is efficiently utilized in the area requiring heating, and reducing magnetic leakage.
[0032] S6. Manufacturing and Integration (System Construction): This solution utilizes finite element analysis software to construct an accurate three-dimensional electromagnetic-thermal coupling simulation model. Through multiphysics simulation, the induction heating process is systematically optimized and parameters are designed, thereby guiding the structural and process development of the actual heating furnace. The optimized induction heating technology is integrated into the kiln system, providing a new technical approach and engineering support for improving the kiln's energy efficiency, temperature control accuracy, and heating uniformity.
[0033] This invention aims to address several inherent problems of traditional kiln heating methods, including low thermal efficiency, difficulty in exhaust gas emission and treatment, difficulty in controlling temperature uniformity, system complexity, and potential safety hazards. Specifically, addressing the long-standing reliance on experience-based design and repeated trial-and-error in induction heating technology, this invention proposes a systematic solution that deeply integrates numerical simulation technology with induction heating, enabling the early prediction and optimization of coil design and process parameters.
[0034] This invention designs an induction heating kiln system specifically for high-temperature purification or smelting processes. Its core components include: an induction coil 1 optimized through simulation; a water-cooled copper crucible 2 serving as a material container, balancing thermal management and structural stability; a multi-layer composite heat-insulating furnace lining and a highly airtight sealing structure, supporting vacuum and various atmospheric environments; a high-precision temperature control system integrating multiple sensors (thermocouple + infrared); and an integrated waste gas treatment module to achieve environmentally friendly emissions.
[0035] This invention uses molten sodium chloride as the heating object and establishes a three-dimensional electromagnetic-thermal coupling model. Through detailed parameter settings (such as conductivity, magnetic field boundary conditions, and mesh refinement strategies), it achieves accurate simulation of the heating process of this type of conductive medium, providing reliable predictions for actual processes.
[0036] This invention also discloses a kiln induction heating system, comprising: A high-frequency power supply system is used to supply power to the induction coil 1; Water-cooled copper crucible 2, used to contain the material to be heated; The furnace body structure includes a multi-layer composite heat-insulating lining and a highly airtight sealing structure to support a vacuum or controlled atmosphere environment. The induction heating unit includes a specially designed induction coil 1, a matching water-cooled copper crucible 2, and a molten pool 3 for containing materials; wherein the induction coil 1 is optimized and designed using the method described above; The temperature control system integrates multiple types of temperature sensors and controllers to achieve precise temperature program control.
[0037] This invention uses molten sodium chloride as the heating medium and employs numerical simulation to accurately predict and control its electromagnetic and thermal behavior, significantly improving thermal energy utilization efficiency and process controllability. This demonstrates the advanced nature and reliability of simulation-driven design in the development of modern thermal equipment.
[0038] Specifically, Figure 3The structural design of the purification furnace is showcased. This equipment belongs to a class of special industrial furnaces used for high-temperature purification processes. Its overall structure adopts a double-layer water-cooled wall shell, which can effectively isolate the internal high temperature from the external environment, ensuring the safety and stability of the furnace's external structure under long-term high-temperature conditions. The furnace lining uses a multi-layer composite structure, including a high-performance ceramic fiber insulation layer and high-temperature resistant refractory materials, significantly reducing heat loss and resisting thermal shock and chemical corrosion. To meet the atmospheric environment required for the preparation of high-purity materials, the purification furnace is equipped with a highly airtight sealing system, supporting high vacuum mode and controllable atmosphere switching function. It can introduce inert or reactive protective gases such as argon, nitrogen, or hydrogen, which effectively prevents the oxidation of materials during high-temperature processing and also helps to promote the chemical reduction and volatilization removal of impurities.
[0039] The heating system employs an induction heating device optimized based on numerical simulation. It directly generates eddy current heating within a conductive crucible or material using an electromagnetic field, achieving efficient, clean, and precisely temperature-controlled heat source output. The temperature control system integrates multiple temperature measurement methods: including dual-core tungsten-rhenium thermocouples for extreme high-temperature regions, K-type thermocouples for medium- and low-temperature ranges, and a non-contact infrared thermometer. Combined with a high-precision PID controller, this forms a closed-loop control system capable of accurately executing preset complex temperature process curves, achieving programmable control of the heating and cooling processes.
[0040] The material carrier uses a water-cooled copper crucible 2 as the core container for holding raw materials. Its excellent thermal conductivity and structural strength are suitable for handling high-temperature molten materials, and the wall temperature is maintained by an active water cooling mechanism to prevent the crucible itself from participating in the reaction.
[0041] To address the volatile impurities and reaction exhaust gases generated during the process, the system also integrates a waste gas treatment module, including condensation, adsorption, and neutralization units, which can purify the exhaust gases to meet environmental emission requirements, reflecting the comprehensive design concept of the equipment in terms of high efficiency and greenness.
[0042] This invention, by introducing multiphysics numerical simulation technology, performs parametric modeling and automatic optimization of induction heating coils, fundamentally overcoming the problems of long development cycles and high costs associated with traditional trial-and-error methods. This method can precisely optimize the distribution of magnetic and temperature fields, thereby simultaneously achieving extremely high heating efficiency, excellent temperature uniformity, and superior process controllability. It not only retains the advantages of fast and clean induction heating but also significantly improves equipment safety and reliability, providing an efficient and economical solution for intelligent precision heat treatment.
[0043] The kiln of this invention, based on numerical simulation-based induction heating, addresses the challenges of combustion exhaust gases, which necessitate the installation of exhaust and environmental treatment devices such as incinerators. This results in heat loss due to exhaust gases, leading to relatively low thermal efficiency. Furthermore, maintaining uniform temperature within the kiln is challenging, requiring complex gas / air piping and safety control systems. This invention significantly shortens new product development cycles, reduces development and trial-and-error costs, and enables the design of products with superior performance and lower energy consumption. It provides precise insights into the process window, enabling the prediction and avoidance of production defects, achieving high-quality, highly consistent production, and laying the foundation for intelligent, adaptive control of the "factory of the future," moving towards greater efficiency, precision, intelligence, and environmental friendliness.
[0044] This invention also discloses a computer-readable storage medium storing a computer program thereon, which, when run by a processor, executes the steps of the method described above. Further embodiments of this invention disclose an induction heating optimization system based on numerical simulation, comprising an interconnected memory and a processor, wherein the memory stores a computer program that, when run by a processor, executes the steps of the method described above. The medium and system of this invention, corresponding to the methods described above, also possess the advantages described above.
[0045] The present invention can implement all or part of the processes in the methods of the above embodiments, or it can be implemented by hardware related to computer program instructions. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above method embodiments. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable storage medium includes: any entity or device capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. The memory is used to store computer programs and / or modules. The processor implements various functions by running or executing the computer programs and / or modules stored in the memory, and by calling data stored in the memory. The memory may include high-speed random access memory, as well as non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital (SD) cards, flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.
[0046] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should be considered within the scope of protection of the present invention.
Claims
1. A numerical simulation-based optimization method for induction heating, characterized in that, Including the following steps: S1. Establish a three-dimensional geometric model including the induction coil (1), the workpiece and the magnetic conductor; define the temperature-dependent electromagnetic and thermophysical properties of the materials of each component in the model; S2. Based on the three-dimensional geometric model, set the electromagnetic parameters and thermal field parameters; S3. Mesh the three-dimensional geometric model; refine the mesh in the eddy current concentration region determined by the electromagnetic parameters set in S2, and in the region where a large temperature gradient is expected in the thermal field analysis. S4. Run the electromagnetic-thermal sequential coupling solver. Based on the parameters set in S2 and the mesh generated in S3, calculate the transient distribution of the electromagnetic field and temperature field. In each time step, the material properties are dynamically updated according to the current temperature field and iteratively solved. S5. Process the field distribution data obtained from S4, generate visualization results, and extract key performance indicators.
2. The induction heating optimization method based on numerical simulation according to claim 1, characterized in that, The electromagnetic properties in step S1 include resistivity and permeability; the thermophysical properties include thermal conductivity, specific heat capacity, and density.
3. The induction heating optimization method based on numerical simulation according to claim 1, characterized in that, The electromagnetic parameters in step S2 include the coil excitation current and frequency; the coil excitation current is a sinusoidal alternating current with an amplitude of 500A and a frequency of 150kHz; the thermal field parameters include the initial temperature, convection and radiation boundary conditions, and cooling conditions.
4. The induction heating optimization method based on numerical simulation according to claim 1, 2, or 3, characterized in that, In step S3, the induction coil (1), the water-cooled copper crucible (2) and the molten sodium chloride area are meshed. The specific strategy is to use the sweep method to generate a structured mesh: four layers of units are arranged in the width direction, and the unit size in the length and thickness directions is uniformly controlled to 2mm; in addition, three more layers of mesh are added in the estimated skin depth layer.
5. The induction heating optimization method based on numerical simulation according to claim 1, 2, or 3, characterized in that, The specific process of step S4 is as follows: First, the eddy current distribution and Joule heating generated by the alternating current are calculated in the electromagnetic analysis module. Then, the heat generation is imported as a volume heat source into the subsequent heat conduction analysis to solve for the temperature field distribution. In this process, all material property parameters are defined as functions of temperature. The material behavior description with temperature variation is realized by using the built-in function tools of ANSYS or imported data from external sources. In each time step of the coupled calculation, the material parameters of each region are dynamically updated according to the temperature value calculated in the current step, and the electromagnetic-thermal bidirectional iterative solution is performed again until the solution in that time step meets the convergence condition. The updated material properties are then passed to the next time step to continue the iteration process; This process is repeated until the preset total simulation time is reached, and finally, several key results, including electromagnetic field distribution, temperature field evolution, and heat generation rate, are output, completing the entire numerical simulation process.
6. The induction heating optimization method based on numerical simulation according to claim 1, 2, or 3, characterized in that, It also includes step S6. Based on the geometry and process parameters of the induction coil (1) optimized in S5, a physical induction coil (1) is manufactured and integrated into a kiln system that includes a high-frequency power supply, a water-cooled copper crucible (2), a multi-layer heat-insulating furnace lining, and a high airtight sealing structure.
7. A kiln induction heating system, characterized in that, The induction heating unit employs an induction coil (1) optimized by the method described in any one of claims 1-6; the system further includes: A high-frequency power supply system is used to power the induction coil (1); Water-cooled copper crucible (2) is used to contain the material to be heated; The furnace body structure includes a multi-layer composite heat-insulating lining and a highly airtight sealing structure to support a vacuum or controlled atmosphere environment. The temperature control system integrates multiple types of temperature sensors and controllers to achieve precise temperature program control.
8. The kiln induction heating system according to claim 7, characterized in that, It also includes a waste gas treatment module, which is used to purify the waste gas generated during the process.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program, when run by a processor, performs the steps of the method as described in any one of claims 1-6.
10. A numerical simulation-based induction heating optimization system, comprising an interconnected memory and a processor, wherein the memory stores a computer program, characterized in that, The computer program, when run by a processor, performs the steps of the method as described in any one of claims 1-6.