Water-based abrasive particle two-phase flow turbulent flow regulation improvement system and method

Abstract

The present application relates to the technical field of turbulent flow regulation, and discloses a water-based abrasive particle two-phase flow turbulent flow regulation improvement system and method, which comprises a mixing device configured to mix silicon carbide abrasive particles with a water-based liquid into a fluid and control the flow rate of the output fluid; a sensor assembly comprising a flow rate sensor, an online densimeter and a temperature sensor, the sensor assembly being arranged on a metal flow channel; and a control module connected with the mixing device and the sensor assembly, the control module being used to collect real-time information of the sensor assembly and control the flow rate of the output fluid of the mixing device according to the real-time information, the control module comprising a collection unit, a processing unit, an adjustment unit and a judgment unit. The integrated sensors of the present application can monitor the flow rate, density and temperature in real time, ensure the optimal state of the fluid parameters, quickly adjust the flow rate to meet different polishing requirements, optimize the grinding process, reduce the waste of abrasive particles and lower the production cost. Meanwhile, the temperature monitoring prevents the equipment from overheating and ensures safety.

Description

Technical Field

[0001] This invention relates to the field of turbulence control technology, and more specifically, to a water-based abrasive two-phase flow turbulence control and improvement system and method. Background Technology

[0002] Solid-liquid two-phase flow polishing technology utilizes liquid carrying abrasive grains to create turbulence within the internal channels of a metal, achieving efficient polishing through the impact and friction of the abrasive grains on the internal surface. This method primarily relies on the combination of hard abrasive grains such as silicon carbide with a water-based polishing medium. The fluid generates turbulence within the channels, causing the abrasive grains to distribute evenly and comprehensively polish complex geometric surfaces. This polishing method overcomes the limitations of traditional mechanical polishing in internal channels and complex geometric structures, making it particularly suitable for the high-precision internal surface treatment requirements in fields such as aerospace, automotive manufacturing, and medical devices.

[0003] In existing metal flow channel polishing technologies, the lack of precise control over fluid parameters leads to low polishing efficiency and significant abrasive waste. Furthermore, the absence of real-time monitoring and dynamic flow rate adjustment capabilities makes it impossible to effectively address diverse polishing needs, impacting polishing results and quality, and limiting the flexibility and safety of the polishing process.

[0004] Therefore, it is necessary to provide a water-based abrasive two-phase flow turbulence control and improvement system and method to solve the problems of inaccurate fluid parameter control during metal flow channel polishing in the prior art, which leads to low polishing efficiency, serious abrasive waste, and lack of real-time monitoring and dynamic adjustment of flow rate, thus affecting polishing effect and safety. Summary of the Invention

[0005] In view of this, the present invention proposes a water-based abrasive two-phase flow turbulence control and improvement system and method, which aims to solve the problems in the prior art where the fluid parameter control is not precise during the polishing process of metal flow channels, resulting in low polishing efficiency, serious abrasive waste, and lack of real-time monitoring and dynamic adjustment of flow rate, which affects the polishing effect and safety.

[0006] On the one hand, this invention proposes a water-based abrasive two-phase flow turbulence control and improvement system, comprising:

[0007] The mixing device is configured to mix silicon carbide abrasive particles with a water-based liquid to form a fluid, and to control the flow rate of the output fluid;

[0008] The sensor assembly includes a flow rate sensor, an online density meter, and a temperature sensor, and the sensor assembly is disposed on the metal flow channel;

[0009] A control module is connected to the mixing device and sensor assembly. The control module is used to collect real-time information from the sensor assembly and control the flow rate of the fluid output from the mixing device based on the real-time information. The control module includes a data acquisition unit, a processing unit, an adjustment unit, and a judgment unit.

[0010] The acquisition unit is configured to acquire metal flow channel information and determine the initial flow rate of the output fluid of the mixing device based on the metal flow channel information; the acquisition unit is also configured to acquire the flow rate value of the flow rate sensor, the concentration of silicon carbide abrasive particles in the metal flow channel, and the temperature of the metal flow channel when polishing the metal flow channel;

[0011] The processing unit is configured to calculate the difference between the flow rate value and the initial flow rate, calculate the similarity between the difference and historical data based on the difference, and adjust the initial flow rate based on the similarity. When the processing unit determines that there is no data in the historical data with a similarity greater than a similarity threshold to the difference, the processing unit uses the historical flow rate corresponding to the historical difference with the maximum similarity as the first flow rate and controls the mixing device to output fluid at the first flow rate.

[0012] The adjustment unit is configured to collect the concentration of silicon carbide abrasive particles in the fluid at a first flow rate, calculate the abrasive impact energy based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel, and adjust the first flow rate based on the abrasive impact energy to obtain a second flow rate.

[0013] The judgment unit is configured to collect temperature data of the metal flow channel at the second flow rate based on the temperature sensor, and determine whether to adjust the second flow rate based on the temperature data to obtain the final flow rate.

[0014] Furthermore, the acquisition unit is configured to acquire metal flow channel information, and when determining the initial flow velocity of the output fluid of the mixing device based on the metal flow channel information, it includes:

[0015] The initial flow velocity of the output fluid of the mixing device is calculated using the following formula:

[0016] V0 = C × D / (L × H);

[0017] In the above formula, V0 represents the initial flow velocity of the output fluid, C represents the friction loss correction coefficient, and the value of C is 0.8-1.2. D represents the diameter of the metal flow channel, L represents the length of the metal flow channel, and H represents the hardness value of the metal flow channel.

[0018] Furthermore, the processing unit is configured to calculate the difference between the flow velocity value and the initial flow velocity, and when calculating the similarity between the difference and historical data based on the difference, it includes:

[0019] The similarity between the difference and historical data is calculated using the following formula:

[0020] S im(ΔV,ΔVh)=1 / (1+∣ΔV-ΔVh∣);

[0021] In the above formula, Sim(ΔV,ΔVh) represents the similarity between the current difference and the historical data, ΔV represents the current velocity difference, ΔVh represents the historical velocity difference, and |ΔV-ΔVh| represents the absolute difference between the current velocity difference and the historical velocity difference.

[0022] Furthermore, when the processing unit adjusts the initial flow rate based on similarity, it includes:

[0023] When there is data in the historical data that has a similarity greater than the similarity threshold with the difference, the historical flow rate corresponding to the maximum similarity value is selected as the second flow rate, and the mixing device is controlled to output fluid at the second flow rate;

[0024] When the similarity between the historical data and the difference is less than or equal to the similarity threshold, the processing unit uses the historical flow rate corresponding to the maximum similarity value as the first flow rate and controls the mixing device to output fluid at the first flow rate.

[0025] Furthermore, the adjustment unit is configured to collect the concentration of silicon carbide abrasive particles in the fluid at a first flow rate, and when calculating the abrasive impact energy based on the silicon carbide abrasive particle concentration and the metal flow channel diameter, it includes:

[0026] E = 1 / 2(Cρπ(D / 2)) 2 ·L)·(V0 / D) 2 ;

[0027] In the above formula, E represents the abrasive impact energy, C represents the concentration of silicon carbide abrasive particles in the fluid at the first flow rate, ρ represents the fluid density, D represents the diameter of the metal flow channel, L represents the length of the metal flow channel, and V0 represents the initial flow rate of the output fluid.

[0028] Furthermore, when the adjustment unit adjusts the first flow rate according to the abrasive impact energy, it includes:

[0029] The adjustment unit compares the abrasive impact energy with a first preset abrasive impact energy and a second preset abrasive impact energy, respectively, and determines an adjustment coefficient based on the comparison result to adjust the first flow rate. The first preset abrasive impact energy is less than the second preset abrasive impact energy.

[0030] Furthermore, when adjusting the first flow rate based on the comparison results by determining the adjustment coefficient, the process includes:

[0031] When the abrasive impact energy is less than or equal to the first preset abrasive impact energy, the adjustment unit determines a first adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity;

[0032] When the abrasive impact energy is greater than the first preset abrasive impact energy and less than or equal to the second preset abrasive impact energy, the adjustment unit determines a second adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity.

[0033] When the abrasive impact energy is greater than the second preset abrasive impact energy, the adjustment unit determines a third adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity;

[0034] The first adjustment factor is greater than the second adjustment factor, and the second adjustment factor is greater than the third adjustment factor.

[0035] Furthermore, the determination unit is configured to collect temperature data of the metal flow channel at the second flow rate based on the temperature sensor, and to determine whether to adjust the second flow rate based on the temperature data, including:

[0036] The judgment unit compares the temperature data with the temperature threshold and determines whether to adjust the second flow rate based on the comparison result.

[0037] When the temperature data is greater than the temperature threshold, the judgment unit determines to adjust the second flow rate to obtain the final flow rate;

[0038] When the temperature data is less than or equal to the temperature threshold, the determination unit determines that the second flow rate will not be adjusted and uses the second flow rate as the final flow rate.

[0039] Furthermore, when the determination unit determines to adjust the second flow rate, it includes:

[0040] The judgment unit obtains a temperature difference value based on the temperature data and the temperature threshold. The temperature difference value is the difference between the temperature data and the temperature threshold. The judgment unit determines a flow rate adjustment coefficient based on the temperature difference value to adjust the second flow rate and obtain the final flow rate. The flow rate adjustment coefficient is inversely proportional to the temperature difference value, and the flow rate adjustment coefficient takes a value of 0-1.

[0041] Compared with existing technologies, the advantages of this invention are as follows: By precisely controlling the mixing of silicon carbide abrasive grains and water-based liquids, this invention significantly improves the efficiency of metal channel polishing. Integrated sensor components monitor flow rate, density, and temperature in real time, ensuring optimal fluid parameters under various operating conditions. The control module, through real-time data processing, can quickly adjust the output fluid flow rate to meet different polishing requirements, thereby achieving a more uniform and efficient grinding effect. In particular, by calculating the abrasive impact energy and dynamically adjusting the flow rate, the system can optimize the grinding process under different metal channel diameters and abrasive concentrations. This flexibility not only improves polishing quality but also reduces abrasive waste and lowers production costs. Furthermore, the application of temperature sensors monitors channel temperature changes, further ensuring equipment safety and preventing damage or performance degradation due to overheating. In summary, this invention possesses high efficiency, economy, and safety.

[0042] On the other hand, this application also provides a method for improving turbulence control in water-based abrasive two-phase flow, including:

[0043] Silicon carbide abrasive particles are mixed with water-based liquid to form a fluid, and the flow rate of the output fluid is controlled.

[0044] A sensor assembly is installed on the metal flow channel, the sensor assembly including a flow rate sensor, an online density meter and a temperature sensor;

[0045] Collect metal flow channel information, and determine the initial flow rate of the output fluid of the mixing device based on the metal flow channel information; collect the flow rate value of the flow rate sensor, the concentration of silicon carbide abrasive particles in the metal flow channel, and the temperature of the metal flow channel when polishing the metal flow channel;

[0046] Calculate the difference between the flow velocity value and the initial flow velocity, calculate the similarity between the difference and historical data based on the difference, and adjust the initial flow velocity based on the similarity; when it is determined that there is no data in the historical data with a similarity greater than the similarity threshold to the difference, use the historical flow velocity corresponding to the historical difference with the maximum similarity as the first flow velocity and output the fluid at the first flow velocity;

[0047] The concentration of silicon carbide abrasive particles in the fluid at a first flow rate is collected. The abrasive particle impact energy is calculated based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel. The first flow rate is adjusted based on the abrasive particle impact energy to obtain a second flow rate.

[0048] Based on the temperature data of the metal flow channel collected by the temperature sensor at the second flow rate, it is determined whether to adjust the second flow rate to obtain the final flow rate.

[0049] It is understood that the water-based abrasive two-phase flow turbulence control and improvement system and method provided in this application have the same beneficial effects, which will not be elaborated here. Attached Figure Description

[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0051] Figure 1 A functional block diagram of the water-based abrasive two-phase flow turbulence control and improvement system provided in this embodiment of the invention;

[0052] Figure 2 A flowchart of a water-based abrasive two-phase flow turbulence control and improvement method provided in an embodiment of the present invention. Detailed Implementation

[0053] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0054] In some embodiments of this application, see Figure 1 As shown, this embodiment provides a water-based abrasive two-phase flow turbulence control and improvement system, including:

[0055] The mixing device is configured to mix silicon carbide abrasive particles with a water-based liquid to form a fluid, and to control the flow rate of the output fluid;

[0056] The sensor assembly includes a flow rate sensor, an online density meter, and a temperature sensor, and the sensor assembly is mounted on the metal flow channel;

[0057] The control module is connected to the mixing device and sensor components. The control module is used to collect real-time information from the sensor components and control the flow rate of the fluid output from the mixing device based on the real-time information. The control module includes a data acquisition unit, a processing unit, an adjustment unit, and a judgment unit.

[0058] The acquisition unit is configured to acquire information about the metal flow channel and determine the initial flow rate of the output fluid of the mixing device based on the information about the metal flow channel; the acquisition unit is also configured to acquire the flow rate value of the flow rate sensor, the concentration of silicon carbide abrasive particles in the metal flow channel, and the temperature of the metal flow channel when polishing the metal flow channel.

[0059] The processing unit is configured to calculate the difference between the flow rate value and the initial flow rate, calculate the similarity between the difference and historical data based on the difference, and adjust the initial flow rate based on the similarity. When the processing unit determines that there is no data in the historical data with a similarity greater than the similarity threshold, the processing unit uses the historical flow rate corresponding to the historical difference with the maximum similarity as the first flow rate and controls the mixing device to output fluid at the first flow rate.

[0060] The adjustment unit is configured to collect the concentration of silicon carbide abrasive particles in the fluid at the first flow rate, calculate the abrasive impact energy based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel, and adjust the first flow rate based on the abrasive impact energy to obtain the second flow rate;

[0061] The judgment unit is configured to collect temperature data of the metal flow channel at the second flow rate based on the temperature sensor, and determine whether to adjust the second flow rate based on the temperature data to obtain the final flow rate.

[0062] Understandably, the system includes a mixing device to effectively mix silicon carbide abrasive particles with a water-based liquid to control the flow rate of the output fluid. Sensor components collect flow rate, density, and temperature information in real time to ensure stability and reliability during the polishing process. The control module is the core of the system, possessing functions for data acquisition, processing, adjustment, and judgment. The acquisition unit determines the initial flow rate and monitors the actual flow rate and the concentration of silicon carbide abrasive particles within the flow channel. The processing unit adjusts the initial flow rate in real time by calculating the flow rate difference and the similarity to historical data to optimize the grinding effect. The adjustment unit further precisely adjusts the flow rate based on the calculation of abrasive impact energy to meet different polishing requirements. Finally, the judgment unit combines data from the temperature sensor to ensure temperature suitability at different flow rates, ultimately obtaining the optimal flow rate.

[0063] This invention significantly improves the efficiency of metal channel polishing by precisely controlling the mixing of silicon carbide abrasive grains and water-based liquids. Integrated sensor components monitor flow rate, density, and temperature in real time, ensuring optimal fluid parameters under various operating conditions. The control module, through real-time data processing, can quickly adjust the output fluid flow rate to meet different polishing requirements, thereby achieving a more uniform and efficient grinding effect. In particular, by calculating the abrasive impact energy and dynamically adjusting the flow rate, the system can optimize the grinding process under different metal channel diameters and abrasive concentrations. This flexibility not only improves polishing quality but also reduces abrasive waste and lowers production costs. Furthermore, the application of temperature sensors monitors channel temperature changes, further ensuring equipment safety and preventing damage or performance degradation due to overheating. In summary, this invention possesses high efficiency, economy, and safety.

[0064] In some embodiments of this application, the acquisition unit is configured to acquire metal flow channel information, and when determining the initial flow rate of the output fluid of the mixing device based on the metal flow channel information, it includes:

[0065] The initial flow velocity of the output fluid from the mixing device is calculated using the following formula:

[0066] V0 = C × D / (L × H);

[0067] In the above formula, V0 represents the initial flow velocity of the output fluid, C represents the friction loss correction coefficient, and the value of C is 0.8-1.2. D represents the diameter of the metal flow channel, L represents the length of the metal flow channel, and H represents the hardness value of the metal flow channel.

[0068] It is understood that in some embodiments of this application, the acquisition unit calculates the initial flow velocity of the output fluid of the mixing device using a formula, combining the friction loss correction coefficient, channel diameter, length, and hardness value to effectively consider the geometry and material properties of the channel, thereby ensuring the fluidity and stability of the fluid during the polishing process. The friction loss correction coefficient is set between 0.8 and 1.2, giving the system a certain degree of flexibility to adapt to different working conditions and material properties. By accurately calculating the initial flow velocity, the system can optimize the polishing effect, improve grinding efficiency, reduce energy consumption, and extend equipment life. This not only improves the accuracy and consistency of the polishing process but also provides a reliable data basis for subsequent flow velocity adjustments, contributing to more efficient metal processing. Specifically, the rougher the inner surface of the metal channel or the greater the curvature of the metal channel, the larger C is, to compensate for additional friction losses.

[0069] In some embodiments of this application, the processing unit is configured to calculate the difference between the flow rate value and the initial flow rate, and when calculating the similarity between the difference and historical data, it includes:

[0070] The similarity between the difference and historical data is calculated using the following formula:

[0071] S im(ΔV,ΔVh)=1 / (1+∣ΔV-ΔVh∣);

[0072] In the above formula, Sim(ΔV,ΔVh) represents the similarity between the current difference and the historical data, ΔV represents the current velocity difference, ΔVh represents the historical velocity difference, and |ΔV-ΔVh| represents the absolute difference between the current velocity difference and the historical velocity difference.

[0073] In some embodiments of this application, when the processing unit adjusts the initial flow rate based on similarity, it includes:

[0074] When there is data in the historical data whose similarity to the difference is greater than the similarity threshold, the historical flow rate corresponding to the maximum similarity is selected as the second flow rate, and the mixing device is controlled to output fluid at the second flow rate.

[0075] When the similarity between historical data and the difference is less than or equal to the similarity threshold, the processing unit uses the historical flow rate corresponding to the maximum similarity as the first flow rate and controls the mixing device to output fluid at the first flow rate.

[0076] Understandably, in some embodiments of this application, the processing unit effectively assesses the relationship between the current flow rate and historical flow rates by calculating the similarity between the flow rate difference and historical data. The absolute difference is used to quantify the closeness of the current and historical flow rate differences, thus providing a scientific basis for flow rate adjustment. When there are records in the historical data with a similarity higher than a set threshold, the system can automatically select the historical flow rate with the highest similarity as the new flow rate output, thereby optimizing the polishing effect. If there is no corresponding historical data, the system uses the historical flow rate corresponding to the highest similarity as the benchmark to ensure the stability and reliability of the fluid output. This similarity calculation and adaptive adjustment not only improves the system's response speed and polishing quality but also enhances the system's adaptability under different working conditions, ultimately achieving a highly efficient and energy-saving metal processing process.

[0077] In some embodiments of this application, the adjustment unit is configured to collect the concentration of silicon carbide abrasive particles in the fluid at a first flow rate, and when calculating the abrasive impact energy based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel, it includes:

[0078] E = 1 / 2(Cρπ(D / 2)) 2 ·L)·(V0 / D) 2 ;

[0079] In the above formula, E represents the abrasive impact energy, C represents the concentration of silicon carbide abrasive particles in the fluid at the first flow rate, ρ represents the fluid density, D represents the diameter of the metal flow channel, L represents the length of the metal flow channel, and V0 represents the initial flow rate of the output fluid.

[0080] In some embodiments of this application, when the adjustment unit adjusts the first flow velocity based on the abrasive impact energy, it includes:

[0081] The adjustment unit compares the abrasive impact energy with the first preset abrasive impact energy and the second preset abrasive impact energy respectively, and determines the adjustment coefficient based on the comparison result to adjust the first flow velocity. The first preset abrasive impact energy is less than the second preset abrasive impact energy.

[0082] In some embodiments of this application, when adjusting the first flow velocity based on the adjustment coefficient determined by the comparison results, the following steps are included:

[0083] When the abrasive impact energy is less than or equal to the first preset abrasive impact energy, the adjustment unit determines the first adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity.

[0084] When the abrasive impact energy is greater than the first preset abrasive impact energy and less than or equal to the second preset abrasive impact energy, the adjustment unit determines the second adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity.

[0085] When the abrasive impact energy is greater than the second preset abrasive impact energy, the adjustment unit determines the third adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity;

[0086] The first adjustment factor is greater than the second adjustment factor, and the second adjustment factor is greater than the third adjustment factor.

[0087] Understandably, the adjustment unit optimizes the flow rate by calculating the abrasive impact energy. This energy is related to factors such as silicon carbide abrasive concentration, fluid density, channel diameter, and initial flow rate. By comparing the calculated abrasive impact energy with a preset energy range, the flow rate is intelligently adjusted. When the abrasive impact energy is too low, the adjustment unit applies a first adjustment coefficient to increase the flow rate, ensuring effective polishing. When the energy is within a moderate range, a second adjustment coefficient is used for fine adjustments. If the energy is too high, a third adjustment coefficient is used to reduce the flow rate to avoid over-polishing or damage to the workpiece. This graded adjustment mechanism can flexibly respond to different working conditions, effectively control the polishing process, optimize polishing efficiency and quality, reduce material loss, and improve overall processing accuracy and consistency.

[0088] In some embodiments of this application, the determining unit is configured to collect temperature data of the metal flow channel at the second flow rate based on a temperature sensor, and to determine whether to adjust the second flow rate based on the temperature data, including:

[0089] The judgment unit compares the temperature data with the temperature threshold and determines whether to adjust the second flow rate based on the comparison result.

[0090] When the temperature data is greater than the temperature threshold, the judgment unit determines to adjust the second flow rate to obtain the final flow rate.

[0091] When the temperature data is less than or equal to the temperature threshold, the judgment unit determines that the second flow rate will not be adjusted and will use the second flow rate as the final flow rate.

[0092] In some embodiments of this application, when the determining unit determines that the second flow rate should be adjusted, it includes:

[0093] The judgment unit obtains the temperature difference based on the temperature data and the temperature threshold. The temperature difference is the difference between the temperature data and the temperature threshold. The judgment unit determines the flow rate adjustment coefficient based on the temperature difference to adjust the second flow rate and obtain the final flow rate. The flow rate adjustment coefficient is inversely proportional to the temperature difference and the flow rate adjustment coefficient takes a value of 0-1.

[0094] Understandably, the judgment unit compares temperature data collected by a temperature sensor with a set temperature threshold to determine whether to adjust the second flow rate. When the temperature data exceeds the threshold, the system determines that the flow rate needs to be adjusted to ensure the safety and effectiveness of the polishing process; otherwise, the current flow rate is maintained. Furthermore, the judgment unit calculates the temperature difference and determines a flow rate adjustment coefficient based on this difference, making it inversely proportional to the temperature difference. This ensures that at higher temperatures, the flow rate adjustment coefficient decreases, thereby reducing the flow rate and preventing overheating that could damage the material. This flexible adjustment mechanism not only optimizes the stability of the polishing process but also effectively extends the equipment's lifespan, reduces the failure rate, and improves overall processing efficiency and quality.

[0095] On the other hand, see Figure 2 As shown, this application also provides a method for improving turbulence control in water-based abrasive two-phase flow, applied to the aforementioned water-based abrasive two-phase flow turbulence control and improvement system, comprising the following steps:

[0096] S100: Mix silicon carbide abrasive particles with water-based liquid to form a fluid, and control the flow rate of the output fluid;

[0097] S200. A sensor assembly is installed on the metal flow channel. The sensor assembly includes a flow rate sensor, an online density meter, and a temperature sensor.

[0098] S300: Collect metal flow channel information and determine the initial flow rate of the output fluid of the mixing device based on the metal flow channel information; collect the flow rate value of the flow rate sensor, the concentration of silicon carbide abrasive particles in the metal flow channel, and the temperature of the metal flow channel when polishing the metal flow channel;

[0099] S400: Calculate the difference between the flow velocity value and the initial flow velocity, calculate the similarity between the difference and historical data, and adjust the initial flow velocity according to the similarity; when it is determined that there is no data in the historical data with a similarity greater than the similarity threshold, the historical flow velocity corresponding to the historical difference with the maximum similarity is used as the first flow velocity and the fluid is output at the first flow velocity.

[0100] S500: Collect the concentration of silicon carbide abrasive particles in the fluid at the first flow rate, calculate the abrasive impact energy based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel, and adjust the first flow rate based on the abrasive impact energy to obtain the second flow rate;

[0101] S600: Based on the temperature sensor, the temperature data of the metal flow channel at the second flow rate is collected, and the temperature data is used to determine whether to adjust the second flow rate to obtain the final flow rate.

[0102] Understandably, the water-based abrasive two-phase flow turbulence control improvement method provided in this application optimizes the fluid polishing process through a systematic approach. First, silicon carbide abrasives are mixed with a water-based liquid to ensure fluid uniformity and stability. Then, multiple sensors are arranged on the metal flow channel to monitor flow rate, density, and temperature in real time, providing support for subsequent data analysis. After collecting information from the metal flow channel, the flow rate difference is calculated and compared with historical data to adjust the output flow rate to adapt to the current working conditions. This dynamic adjustment ensures the effectiveness and safety of the polishing process. The flow rate is further optimized by calculating the impact energy of the abrasive particles to achieve the best polishing effect. Finally, temperature data is used to determine whether flow rate adjustment is necessary, making the entire process more refined and intelligent. The advantages of this method are improved polishing efficiency, reduced equipment failure risk, and ensured workpiece surface quality, thus achieving a dual improvement in economic benefits and processing quality.

[0103] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0104] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0105] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A water-based abrasive two-phase flow turbulence control and improvement system, characterized in that, include: The mixing device is configured to mix silicon carbide abrasive particles with a water-based liquid to form a fluid, and to control the flow rate of the output fluid; The sensor assembly includes a flow rate sensor, an online density meter, and a temperature sensor, and the sensor assembly is disposed on the metal flow channel; A control module is connected to the mixing device and sensor assembly. The control module is used to collect real-time information from the sensor assembly and control the flow rate of the fluid output from the mixing device based on the real-time information. The control module includes a data acquisition unit, a processing unit, an adjustment unit, and a judgment unit. The acquisition unit is configured to acquire metal flow channel information and determine the initial flow rate of the output fluid of the mixing device based on the metal flow channel information; the acquisition unit is also configured to acquire the flow rate value of the flow rate sensor, the concentration of silicon carbide abrasive particles in the metal flow channel, and the temperature of the metal flow channel when polishing the metal flow channel; The processing unit is configured to calculate the difference between the flow rate value and the initial flow rate, calculate the similarity between the difference and historical data based on the difference, and adjust the initial flow rate based on the similarity. When the processing unit determines that there is no data in the historical data with a similarity greater than a similarity threshold to the difference, the processing unit uses the historical flow rate corresponding to the historical difference with the maximum similarity as the first flow rate and controls the mixing device to output fluid at the first flow rate. The adjustment unit is configured to collect the concentration of silicon carbide abrasive particles in the fluid at a first flow rate, calculate the abrasive impact energy based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel, and adjust the first flow rate based on the abrasive impact energy to obtain a second flow rate. The judgment unit is configured to collect temperature data of the metal flow channel at the second flow rate based on the temperature sensor, and determine whether to adjust the second flow rate based on the temperature data to obtain the final flow rate.

2. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 1, characterized in that, The acquisition unit is configured to acquire metal flow channel information, and when determining the initial flow velocity of the output fluid of the mixing device based on the metal flow channel information, it includes: The initial flow velocity of the output fluid of the mixing device is calculated using the following formula: V0 = C × D / (L × H); In the above formula, V0 represents the initial flow velocity of the output fluid, C represents the friction loss correction coefficient, and the value of C is 0.8-1.

2. D represents the diameter of the metal flow channel, L represents the length of the metal flow channel, and H represents the hardness value of the metal flow channel.

3. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 2, characterized in that, The processing unit is configured to calculate the difference between the flow velocity value and the initial flow velocity, and when calculating the similarity between the difference and historical data based on the difference, it includes: The similarity between the difference and historical data is calculated using the following formula: Sim(ΔV,ΔVh)=1 / (1+∣ΔV-ΔVh∣); In the above formula, Sim(ΔV,ΔVh) represents the similarity between the current difference and the historical data, ΔV represents the current velocity difference, ΔVh represents the historical velocity difference, and |ΔV-ΔVh| represents the absolute difference between the current velocity difference and the historical velocity difference.

4. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 3, characterized in that, When the processing unit adjusts the initial flow rate based on similarity, it includes: When there is data in the historical data that has a similarity greater than the similarity threshold with the difference, the historical flow rate corresponding to the maximum similarity value is selected as the second flow rate, and the mixing device is controlled to output fluid at the second flow rate; When the similarity between the historical data and the difference is less than or equal to the similarity threshold, the processing unit uses the historical flow rate corresponding to the maximum similarity value as the first flow rate and controls the mixing device to output fluid at the first flow rate.

5. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 4, characterized in that, The adjustment unit is configured to collect the concentration of silicon carbide abrasive particles in the fluid at a first flow rate, and to calculate the abrasive impact energy based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel, including: E=1 / 2(Cρπ(D / 2) 2 ·L)·(V0 / D) 2 ; In the above formula, E represents the abrasive impact energy, C represents the concentration of silicon carbide abrasive particles in the fluid at the first flow rate, ρ represents the fluid density, D represents the diameter of the metal flow channel, L represents the length of the metal flow channel, and V0 represents the initial flow rate of the output fluid.

6. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 5, characterized in that, When the adjustment unit adjusts the first flow velocity according to the abrasive impact energy, it includes: The adjustment unit compares the abrasive impact energy with a first preset abrasive impact energy and a second preset abrasive impact energy, respectively, and determines an adjustment coefficient based on the comparison result to adjust the first flow rate. The first preset abrasive impact energy is less than the second preset abrasive impact energy.

7. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 6, characterized in that, When adjusting the first flow rate by determining the adjustment coefficient based on the comparison results, the following steps are included: When the abrasive impact energy is less than or equal to the first preset abrasive impact energy, the adjustment unit determines a first adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity; When the abrasive impact energy is greater than the first preset abrasive impact energy and less than or equal to the second preset abrasive impact energy, the adjustment unit determines a second adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity. When the abrasive impact energy is greater than the second preset abrasive impact energy, the adjustment unit determines a third adjustment coefficient to adjust the first flow velocity to obtain the second flow velocity; The first adjustment factor is greater than the second adjustment factor, and the second adjustment factor is greater than the third adjustment factor.

8. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 7, characterized in that, The determination unit is configured to collect temperature data of the metal flow channel at the second flow rate based on the temperature sensor, and to determine whether to adjust the second flow rate based on the temperature data, including: The judgment unit compares the temperature data with the temperature threshold and determines whether to adjust the second flow rate based on the comparison result. When the temperature data is greater than the temperature threshold, the judgment unit determines to adjust the second flow rate to obtain the final flow rate; When the temperature data is less than or equal to the temperature threshold, the determination unit determines that the second flow rate will not be adjusted and uses the second flow rate as the final flow rate.

9. The water-based abrasive two-phase flow turbulence control and improvement system according to claim 8, characterized in that, When the determination unit determines that the second flow rate should be adjusted, it includes: The judgment unit obtains a temperature difference value based on the temperature data and the temperature threshold. The temperature difference value is the difference between the temperature data and the temperature threshold. The judgment unit determines a flow rate adjustment coefficient based on the temperature difference value to adjust the second flow rate and obtain the final flow rate. The flow rate adjustment coefficient is inversely proportional to the temperature difference value, and the flow rate adjustment coefficient takes a value of 0-1.

10. A method for improving turbulence control in water-based abrasive two-phase flow, applied to the water-based abrasive two-phase flow turbulence control system as described in any one of claims 1-9, characterized in that, include: Silicon carbide abrasive particles are mixed with water-based liquid to form a fluid, and the flow rate of the output fluid is controlled. A sensor assembly is installed on the metal flow channel, the sensor assembly including a flow rate sensor, an online density meter and a temperature sensor; Collect metal flow channel information, and determine the initial flow rate of the output fluid of the mixing device based on the metal flow channel information; collect the flow rate value of the flow rate sensor, the concentration of silicon carbide abrasive particles in the metal flow channel, and the temperature of the metal flow channel when polishing the metal flow channel; Calculate the difference between the flow velocity value and the initial flow velocity, calculate the similarity between the difference and historical data based on the difference, and adjust the initial flow velocity based on the similarity; when it is determined that there is no data in the historical data with a similarity greater than the similarity threshold to the difference, use the historical flow velocity corresponding to the historical difference with the maximum similarity as the first flow velocity and output the fluid at the first flow velocity; The concentration of silicon carbide abrasive particles in the fluid at a first flow rate is collected. The abrasive particle impact energy is calculated based on the silicon carbide abrasive particle concentration and the diameter of the metal flow channel. The first flow rate is adjusted based on the abrasive particle impact energy to obtain a second flow rate. Based on the temperature data of the metal flow channel collected by the temperature sensor at the second flow rate, it is determined whether to adjust the second flow rate to obtain the final flow rate.

Images