A method for precisely regulating the performance of a multi-structure modified material based on energy regulation fractal structure

Abstract

This invention discloses a method for precise performance control of multi-structure modified materials based on energy-regulated fractal structures. By constructing a synergistic control logic between energy and fractal structure, integrating various fractal structure modification techniques, and establishing a closed-loop feedback control process, precise control of material properties is achieved. This invention is adaptable to multiple material types, with fractal dimension error controlled within ±0.05 and performance control deviation ≤3%. It solves the problems of low control accuracy and poor adaptability in existing technologies and can be widely applied to performance optimization in fields such as metallic materials, composite materials, and functional materials.

Description

Technical Field

[0001] This invention relates to the field of material performance regulation technology, specifically to a method for precise regulation of the properties of multi-structure modified materials based on energy-regulated fractal structures. Background Technology

[0002] Most existing material performance regulation technologies target single materials or single structural modifications, resulting in low regulation precision and poor adaptability. Fractal structures, as complex structures with self-similar properties, exhibit a significant correlation between their parameters and material properties. However, current technologies cannot achieve coordinated regulation of energy and fractal structures, making it difficult to precisely control fractal structure parameters. This leads to large deviations in performance regulation, failing to meet the demands for high-precision material performance optimization. Furthermore, existing technologies are largely limited to specific structural modification methods, unable to adapt to the regulation needs of multiple material types and diverse scenarios. Summary of the Invention Detailed Implementation

[0004] For 7075 aluminum alloy, the target performance is a 20% increase in tensile strength. The specific steps are as follows: The target performance parameters were obtained, and the target fractal dimension D = 1.68 was found to be matched. Construct the core control logic and establish parameter correlation expressions. (Where k1 and k2 are model correction coefficients, and C is the fundamental constant of the fractal structure), the energy feedback coefficient is set to α = 0.82; The aluminum alloy raw materials were pretreated, and a combination of laser etching and grain refinement was selected as the structural modification method, with the energy input being laser energy and ultrasonic energy. The system performs energy input and structural change operations, and dynamically corrects the energy input through the energy feedback coefficient α during the process to ensure the stability of the fractal structure. Real-time monitoring is conducted using a high-precision microscope and a fractal dimension measuring instrument, and the fractal dimension error is controlled within ±0.05 by real-time calibration using the fractal dimension measuring instrument. Tensile strength was monitored in real time, and after two feedback corrections, the final tensile strength was increased by 20.2%, with a deviation of 1%, achieving the target performance.

[0005] For carbon fiber reinforced epoxy resin composites, the target performance is a 30% increase in thermal conductivity. The specific steps are as follows: Obtain the target performance parameters and match to obtain the target fractal dimension D=1.75; Construct the core control logic and establish parameter correlation expressions. (Where k1 and k2 are model correction coefficients, and C is the fundamental constant of the fractal structure), the energy feedback coefficient is set to α = 0.78; The raw materials of the composite material are pretreated, and a combination of 3D printing and porosity adjustment is adopted to change the structure. The energy input method is electromagnetic energy and chemical energy. The system performs energy input and structural change operations, and dynamically corrects the energy input through the energy feedback coefficient α during the process to ensure the stability of the fractal structure. Real-time monitoring is conducted using a high-precision microscope and a fractal dimension measuring instrument, and the fractal dimension error is controlled within ±0.05 by real-time calibration using the fractal dimension measuring instrument. The thermal conductivity was monitored in real time, and after one feedback correction, the final thermal conductivity was improved by 29.8%, with a deviation of 0.67%, achieving the target performance. Beneficial effects

[0006] The beneficial effects of this invention are as follows: A synergistic regulation logic for energy and fractal structure was constructed, enabling precise control of fractal structure parameters. The fractal dimension error was controlled within ±0.05, and the performance regulation deviation was ≤3%, significantly improving the regulation accuracy. It integrates various fractal structure modification techniques, is adaptable to multiple types of materials, and solves the problem of poor adaptability of existing technologies; A closed-loop feedback control process has been established, which can dynamically correct control parameters and ensure stable and reliable control effects. Attached Figure Description like Figure 1 As shown, the overall material control process of the present invention includes three modules: (1) a logic construction module, which is used to construct the core control logic, parameter association expression and energy feedback coefficient α; (2) a closed-loop control execution module, which is used to receive the parameters or adaptation suggestions output by the logic construction module, and execute raw material pretreatment, energy input, multi-structure change means coordination and fractal structure iterative change; (3) a performance detection and feedback module, which is used to monitor the fractal structure parameters and material performance, execute deviation judgment and correction, and feed back real-time data to the closed-loop control execution module, or output correction parameters / rematching instructions to the logic construction module to form closed-loop control.

Claims

1. A method for precise control of material properties based on energy-regulated fractal structures and multi-structure modification techniques, characterized in that, Includes the following steps: (1) Obtain the target performance parameters of the target material, and match the target fractal structure parameters based on the synergistic control logic of energy and fractal structure; (2) Construct the core control logic and establish parameter correlation expressions. An energy feedback coefficient α is introduced to dynamically correct the energy input parameters, where k1 and k2 are model correction coefficients and C is the fractal structure fundamental constant. (3) Pre-process the raw materials and determine the energy input method and fractal structure modification technology based on the target fractal structure parameters obtained by matching; (4) Perform energy input and fractal structure change operations, and iteratively adjust the fractal structure of the material through the synergistic effect of multiple structure change methods; (5) Monitor fractal structure parameters and material performance parameters in real time to determine whether the target parameters have been achieved; (6) If the target parameters are not reached, the control parameters are corrected through the performance detection and feedback module, and the control operation is re-matched and executed until the target performance is reached.

2. The method according to claim 1, characterized in that, The construction of the core control logic includes: establishing parameter correlation expressions based on the fitting relationship between target performance parameters and fractal structure parameters. Where k1 and k2 are model correction coefficients, and C is the fundamental constant of the fractal structure. The energy input is corrected by the energy feedback coefficient α to achieve the coordinated adaptation of energy and fractal structure.

3. The method according to claim 1, characterized in that, The fractal structure alteration techniques include, but are not limited to, one or more combinations of: laser etching, machining, chemical etching, 3D printing, grain refinement, porosity adjustment, phase interface control, and surface texturing.

4. The method according to claim 1, characterized in that, The energy input methods include one or more of the following: laser energy, ultrasonic energy, electromagnetic energy, chemical energy, and mechanical energy, and the energy input methods are compatible with fractal structure alteration technology.

5. The method according to claim 1, characterized in that, The target fractal structure parameters include the fractal dimension D, and the error of the fractal dimension D is controlled within ±0.

05.

6. The method according to claim 1, characterized in that, The real-time monitoring uses a high-precision microscope and a fractal dimension measuring instrument to collect fractal structure parameters in real time, ensuring the accuracy of control.

7. The method according to claim 1, characterized in that, The target material includes any one of the following: metallic materials, composite materials, functional materials, and ceramic materials.

8. The method according to claim 1, characterized in that, The performance control deviation is ≤3%, enabling precise control of material properties.

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