Oil-water cooler

Abstract

The invention relates to the field of oil-water coolers, and discloses an oil-water cooler, which comprises: a heat exchange core material, which is a graphene aluminum-based composite material; and a heat exchange module with a micro-nano structure is arranged on the surface. The graphene aluminum-based composite material is adopted as a heat exchange core material of the oil-water cooler, so that the heat conduction performance and the overall heat exchange efficiency of the cooler are effectively improved. By optimizing the interface bonding process of the aluminum-based material and the graphene, the graphene is uniformly dispersed in the aluminum matrix, and meanwhile, it is ensured that heat conduction channels in the material are more continuous and dense, so that the thermal resistance loss of the material is remarkably reduced. The equivalent thermal conductivity of the composite material is greatly improved through the high thermal conductivity of graphene, and compared with a traditional aluminum-based material, the heat exchange efficiency is improved by 30% or above. Besides, the mechanical property of the composite material is strictly designed and verified, and the composite material can run for a long time under high-temperature and high-pressure working conditions and is not prone to deformation or fracture, so that the stability and durability of the cooler in a complex industrial environment are guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of oil-water coolers, in particular to an oil-water cooler. Background Art

[0002] As a common heat exchange equipment, oil-water cooler is widely used in machinery, energy, chemical industry and other fields. Its main function is to reduce the heat generated during equipment operation through heat transfer between cooling water and oil, ensuring efficient operation and safety of the system. Traditional oil-water coolers have certain limitations in heat exchange performance, structural design and intelligent level, and it is difficult to meet the modern industry's demand for efficient, intelligent and reliable thermal management. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides an oil-water cooler, which solves the problem that traditional oil-water coolers have certain limitations in heat exchange performance, structural design and intelligence level, and are difficult to meet the needs of modern industry for efficient, intelligent and reliable thermal management.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an oil-water cooler, comprising:

[0005] Heat exchange core material, the material is a graphene aluminum-based composite material;

[0006] A heat exchange module having a micro-nano structure on its surface, wherein the micro-nano structure includes micron-scale grooves and nanopores;

[0007] The cooling water flow channel and the oil flow channel are respectively arranged on both sides of the heat exchange module;

[0008] The intelligent control system includes a real-time monitoring module, a dynamic adjustment module and a fault diagnosis module, which are used to monitor the temperature, flow and pressure difference data of the cooler, adjust the cooling water flow, and diagnose and warn of operating faults.

[0009] Preferably, the graphene aluminum-based composite material is prepared by the following steps:

[0010] Aluminum alloy was used as the matrix, and aluminum powder with a particle size of 10–50 μm was selected;

[0011] Adding graphene oxide with a volume fraction of 5% to 15%;

[0012] Aluminum powder and graphene oxide were mixed by high-energy ball milling, with a ball-to-powder ratio of 10:1 and a ball-to-powder ratio of 4–6 hours.

[0013] The mixed material was sintered by vacuum hot pressing at 600–650°C.

[0014] Preferably, the thermal conductivity of the graphene aluminum-based composite material satisfies the following range:

[0015]

[0016] Among them, k m is the thermal conductivity of aluminum matrix, k f is the thermal conductivity of graphene, is the volume fraction of graphene oxide.

[0017] Preferably, the micro-nano structure of the heat exchange module includes:

[0018] Micrometer-scale grooves with a depth of 50–100 μm and a pitch of 200–300 μm;

[0019] Nanoporous structures with pore sizes of 50–100 nm were prepared by an electrochemical anodization process.

[0020] Preferably, the micro-nano structure surface of the heat exchange module is coated with a super hydrophobic coating, and the coating is a polytetrafluoroethylene (PTFE) coating, which has high temperature resistance, corrosion resistance and anti-fouling properties.

[0021] Preferably, the real-time monitoring module of the intelligent control system includes:

[0022] Temperature sensors to monitor the inlet and outlet temperatures of cooling water and oil;

[0023] Flow sensor for monitoring cooling water flow Q w and oil flow Q o ;

[0024] The differential pressure sensor is used to monitor the inlet and outlet pressure difference ΔP inside the cooler.

[0025] Preferably, the intelligent control system calculates the heat exchange amount by the heat conservation formula:

[0026]

[0027] in:

[0028] is the cooling water mass flow rate;

[0029] C p is the specific heat capacity of cooling water;

[0030] ΔT=T in -T out is the cooling water inlet and outlet temperature difference.

[0031] Preferably, the dynamic adjustment module realizes dynamic adjustment of cooling water flow based on PID control algorithm, and the PID control formula is:

[0032]

[0033] in:

[0034] u(t) is the pump speed control signal;

[0035] e(t)=T set -T out is the temperature error;

[0036] K p , K i , K d are the proportional, integral, and differential coefficients respectively.

[0037] Preferably, the dynamic adjustment module also includes an AI prediction model based on a long short-term memory network (LSTM) for predicting the future temperature demand T of the cooler. pred :

[0038] T pred =f(T in ,Q w ,t);

[0039] Among them, f is a nonlinear prediction function, which is trained based on historical temperature data and real-time flow data.

[0040] Preferably, the fault diagnosis module includes:

[0041] Pressure difference abnormal detection rules, when ΔP>ΔP pax When the blockage alarm is triggered;

[0042] Temperature difference abnormal detection rules, when ΔT>ΔT min When the heat exchange is insufficient, the alarm is triggered;

[0043] Fault log recording function is used to record and upload fault data to the cloud for historical analysis.

[0044] Working principle: The core material is made of graphene aluminum-based composite material, whose high thermal conductivity is the basis for efficient heat exchange of the cooler; the aluminum matrix provides good mechanical strength and basic thermal conductivity, and the introduction of graphene oxide significantly improves the overall thermal conductivity of the composite material, and realizes rapid heat conduction and dissipation by enhancing thermal conductivity; among them, the high thermal conductivity of graphene enables the material to quickly transfer heat from the high temperature area to the low temperature area, reducing thermal resistance; the micro-nano structure design of the heat exchange module increases the surface area of ​​the heat exchange module, enhances the heat exchange capacity, and can form a capillary effect to promote the contact between the fluid and the surface, further improving the heat exchange efficiency, and the surface of the heat exchange module is coated with polytetrafluoroethylene. The fluoroethylene coating is not only resistant to high temperatures and corrosion, but also reduces surface contamination and fluid adhesion, and improves heat exchange stability. The heat exchange process through the fluid heat exchange mechanism of the cooling water and oil flow channels relies on the synergistic effect of the micro-nano structure to make the heat exchange between cooling water and oil more efficient. PID control accurately maintains the optimal heat exchange state of the cooler by adjusting the speed of the cooling water pump. It uses an artificial intelligence prediction model based on the long short-term memory network (LSTM) to predict future temperature requirements through historical temperature data and real-time flow data, and adjust the cooling water flow in advance. When the pressure difference exceeds the set threshold, a blockage alarm is triggered, and when the temperature difference is lower than the set threshold, an insufficient heat exchange alarm is triggered.

[0045] The present invention provides an oil-water cooler having the following beneficial effects:

[0046] 1. The present invention uses graphene aluminum-based composite materials as the core heat exchange material of the oil-water cooler, which effectively improves the thermal conductivity and overall heat exchange efficiency of the cooler. By optimizing the interface bonding process between aluminum-based materials and graphene, graphene is evenly dispersed in the aluminum matrix, while ensuring that the heat conduction channels inside the material are more continuous and dense, thereby significantly reducing the thermal resistance loss of the material. The high thermal conductivity of graphene greatly improves the equivalent thermal conductivity of the composite material, and compared with traditional aluminum-based materials, the heat exchange efficiency is improved by more than 30%. In addition, the mechanical properties of the composite material have been strictly designed and verified, and it can operate for a long time under high temperature and high pressure conditions, and is not easy to deform or break, thereby ensuring the stability and durability of the cooler in complex industrial environments.

[0047] 2. The present invention further enhances the heat exchange performance by introducing micro-nano structures on the surface of the heat exchange module. These structures include the synergistic effect of micron-scale grooves and nanopores, which can effectively increase the heat exchange surface area, and by optimizing the turbulent state of the surface fluid, the heat exchange between cooling water and oil is more sufficient. Combined with the super-hydrophobic coating coated on the surface, it not only improves the anti-fouling ability and reduces the impact of oil adhesion on the heat exchange efficiency, but also significantly enhances the corrosion resistance of the heat exchange surface. This surface treatment technology extends the service life of the cooler and reduces the maintenance frequency. It is particularly suitable for equipment running under high load and can maintain efficient and stable heat exchange effects for a long time. Through the combination of improved material performance and structural optimization, the present invention has achieved a comprehensive breakthrough in heat exchange efficiency, durability and environmental adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A perspective view of the present invention;

[0049] Figure 2 It is a schematic diagram of the material of the present invention;

[0050] Figure 3 It is a framework diagram of the intelligent control system of the present invention.

[0051] Among them, 1. heat exchange module; 101. shell; 102. micron-level groove; 103. nanopore; 2. cooling water flow channel; 3. oil flow channel; 4. intelligent control system; 401. real-time monitoring module; 402. dynamic adjustment module; 403. fault diagnosis module. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Example:

[0054] Please see attached Figure 1 - Attachment Figure 3 , an embodiment of the present invention provides an oil-water cooler, comprising:

[0055] The core material of heat exchange is graphene aluminum-based composite material;

[0056] A heat exchange module with a micro-nano structure on the surface, the micro-nano structure includes micron-scale grooves and nanopores;

[0057] The cooling water flow channel and the oil flow channel are respectively arranged on both sides of the heat exchange module;

[0058] Intelligent control system, including real-time monitoring module, dynamic adjustment module and fault diagnosis module, used to monitor the temperature, flow and pressure difference data of the cooler, adjust the cooling water flow, and diagnose and warn of operating faults;

[0059] The core material is a graphene aluminum-based composite material, whose high thermal conductivity is the basis for efficient heat exchange of the cooler. The aluminum matrix provides good mechanical strength and basic thermal conductivity, and the introduction of graphene oxide significantly improves the overall thermal conductivity of the composite material. By enhancing thermal conductivity, rapid heat conduction and dissipation are achieved. The high thermal conductivity of graphene enables the material to quickly transfer heat from high-temperature areas to low-temperature areas, reducing thermal resistance. Through the micro-nano structure design of the heat exchange module, the surface of the heat exchange module is designed with micron-scale grooves with a depth of 50-100μm and a spacing of 200-300μm. The groove increases the surface area of ​​the heat exchange module and enhances the heat exchange capacity. The surface is designed with nanopores with a diameter of 50-100nm, which are prepared by electrochemical anodizing process. These nanopores can form a capillary effect, promote the contact between the fluid and the surface, and further improve the heat exchange efficiency. The polytetrafluoroethylene (PTFE) coating on the surface of the heat exchange module is not only resistant to high temperature and corrosion, but also reduces surface contamination and fluid adhesion, and improves the heat exchange stability. Through the fluid heat exchange mechanism of the cooling water and oil flow channel, the cooling water flows through one side of the heat exchange module and absorbs the heat in the oil. The heat transfer driven by temperature difference is formed. The oil flows through the other side of the heat exchange module, and the excess heat in the running equipment is transferred to the cooling water, thereby achieving cooling. The heat exchange process relies on the synergistic effect of the micro-nano structure to make the heat exchange between cooling water and oil more efficient. Through the setting of the intelligent control system, the temperature sensor in the real-time monitoring module can monitor the inlet and outlet temperatures of cooling water and oil in real time, the flow sensor can monitor the flow of cooling water and oil, and the pressure difference sensor can detect the pressure difference between the inlet and outlet of the cooler to determine whether the system is blocked or the heat exchange is abnormal. Then the dynamic adjustment module adjusts the cooling water flow in real time based on the PID control algorithm. The PID control accurately maintains the optimal heat exchange state of the cooler by adjusting the speed of the cooling water pump. The artificial intelligence prediction model based on the long short-term memory network is used to predict future temperature requirements through historical temperature data and real-time flow data, and adjust the cooling water flow in advance. Fault detection is performed through the fault diagnosis module. When the pressure difference exceeds the set threshold, a blockage alarm is triggered. When the temperature difference is lower than the set threshold, an insufficient heat exchange alarm is triggered. The fault information is uploaded to the cloud through the log function for historical analysis and maintenance.

[0060] The graphene aluminum matrix composite material is prepared by the following steps:

[0061] Aluminum alloy was used as the matrix, and aluminum powder with a particle size of 10–50 μm was selected;

[0062] Adding graphene oxide with a volume fraction of 5% to 15%;

[0063] Aluminum powder and graphene oxide were mixed by high-energy ball milling, with a ball-to-powder ratio of 10:1 and a ball-to-powder ratio of 4–6 hours.

[0064] The mixed material was sintered by vacuum hot pressing at 600–650°C.

[0065] The thermal conductivity of graphene aluminum-based composite materials meets the following range:

[0066]

[0067] Among them, k m is the thermal conductivity of aluminum matrix, k f is the thermal conductivity of graphene, is the volume fraction of graphene oxide.

[0068] The micro-nano structure of the heat exchange module includes:

[0069] Micrometer-scale grooves with a depth of 50–100 μm and a pitch of 200–300 μm;

[0070] Nanoporous structures with pore sizes of 50–100 nm were prepared by an electrochemical anodization process.

[0071] The micro-nano structure surface of the heat exchange module is coated with a super hydrophobic coating, which is a polytetrafluoroethylene (PTFE) coating with high temperature resistance, corrosion resistance and anti-fouling properties.

[0072] The real-time monitoring module of the intelligent control system includes:

[0073] Temperature sensors to monitor the inlet and outlet temperatures of cooling water and oil;

[0074] Flow sensor for monitoring cooling water flow Q w and oil flow Q o ;

[0075] The differential pressure sensor is used to monitor the inlet and outlet pressure difference ΔP inside the cooler.

[0076] The intelligent control system calculates the heat exchange amount through the heat conservation formula:

[0077]

[0078] in:

[0079] is the cooling water mass flow rate;

[0080] C p is the specific heat capacity of cooling water;

[0081] ΔT=T in -T out is the cooling water inlet and outlet temperature difference.

[0082] The dynamic adjustment module realizes dynamic adjustment of cooling water flow based on PID control algorithm. The PID control formula is:

[0083]

[0084] in:

[0085] u(t) is the pump speed control signal;

[0086] e(t)=T set -T out is the temperature error;

[0087] K p , K i , K d are the proportional, integral, and differential coefficients respectively.

[0088] The dynamic adjustment module also includes an AI prediction model based on a long short-term memory network (LSTM) to predict the future temperature demand T of the cooler. pred :

[0089] T pred =f(T in ,Q w ,t);

[0090] Among them, f is a nonlinear prediction function, which is trained based on historical temperature data and real-time flow data.

[0091] The fault diagnosis module includes:

[0092] Pressure difference abnormal detection rules, when ΔP>ΔP pax When the blockage alarm is triggered;

[0093] Temperature difference abnormal detection rules, when ΔT>ΔT min When the heat exchange is insufficient, the alarm is triggered;

[0094] Fault log recording function is used to record and upload fault data to the cloud for historical analysis.

[0095] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Oil-water cooler, characterized in that: include: Heat exchange core material, the material is a graphene aluminum-based composite material; A heat exchange module having a micro-nano structure on its surface, wherein the micro-nano structure includes micron-scale grooves and nanopores; The cooling water flow channel and the oil flow channel are respectively arranged on both sides of the heat exchange module; The intelligent control system includes a real-time monitoring module, a dynamic adjustment module and a fault diagnosis module, which are used to monitor the temperature, flow and pressure difference data of the cooler, adjust the cooling water flow, and diagnose and warn of operating faults.

2. The oil-water cooler according to claim 1, characterized in that: The graphene aluminum-based composite material is prepared by the following steps: Aluminum alloy was used as the matrix, and aluminum powder with a particle size of 10–50 μm was selected; Adding graphene oxide with a volume fraction of 5% to 15%; Aluminum powder and graphene oxide were mixed by high-energy ball milling, with a ball-to-powder ratio of 10:1 and a ball-to-powder ratio of 4–6 hours. The mixed material was sintered by vacuum hot pressing at 600–650°C.

3. The oil-water cooler according to claim 2, characterized in that: The thermal conductivity of the graphene aluminum-based composite material meets the following range: Among them, k m is the thermal conductivity of aluminum matrix, k f is the thermal conductivity of graphene, is the volume fraction of graphene oxide.

4. The oil-water cooler according to claim 1, characterized in that: The micro-nano structure of the heat exchange module includes: Micrometer-scale grooves with a depth of 50–100 μm and a pitch of 200–300 μm; Nanoporous structures with pore sizes of 50–100 nm were prepared by an electrochemical anodization process.

5. The oil-water cooler according to claim 4, characterized in that: The micro-nano structure surface of the heat exchange module is coated with a super-hydrophobic coating, which is a polytetrafluoroethylene (PTFE) coating and has high temperature resistance, corrosion resistance and anti-fouling properties.

6. The oil-water cooler according to claim 1, characterized in that: The real-time monitoring module of the intelligent control system includes: Temperature sensors to monitor the inlet and outlet temperatures of cooling water and oil; Flow sensor for monitoring cooling water flow Q w and oil flow Q o ; The differential pressure sensor is used to monitor the inlet and outlet pressure difference AP inside the cooler.

7. The oil-water cooler according to claim 6, characterized in that: The intelligent control system calculates the heat exchange amount by the heat conservation formula: in: is the cooling water mass flow rate; C p is the specific heat capacity of cooling water; ΔT=T in -T out is the cooling water inlet and outlet temperature difference.

8. The oil-water cooler according to claim 1, characterized in that: The dynamic adjustment module realizes dynamic adjustment of cooling water flow based on PID control algorithm. The PID control formula is: in: u(t) is the pump speed control signal; e(t)=T set -T out is the temperature error; K p , K i , K d are the proportional, integral, and differential coefficients respectively.

9. The oil-water cooler according to claim 8, characterized in that: The dynamic adjustment module also includes an AI prediction model based on a long short-term memory network (LSTM) to predict the future temperature demand T of the cooler. pred : T pred =f(T in ,Q w ,t); Among them, f is a nonlinear prediction function, which is trained based on historical temperature data and real-time flow data.

10. The oil-water cooler according to claim 1, characterized in that: The fault diagnosis module comprises: Pressure difference abnormal detection rules, when ΔP>ΔP pax When the blockage alarm is triggered; Temperature difference abnormal detection rules, when ΔT>ΔT min When the heat exchange is insufficient, the alarm is triggered; Fault log recording function is used to record and upload fault data to the cloud for historical analysis.

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