Turbine blade surface layer slurry with low natural vibration frequency dispersity and production process

Abstract

The invention relates to the technical field of turbine blade manufacturing, and particularly discloses turbine blade surface layer slurry with low natural vibration frequency dispersity and a production process, the geometrical shape and size of a turbine blade are determined through a modeling technology so as to reduce the natural vibration frequency dispersity, single-factor experiment and multi-factor experiment design are carried out on the surface layer slurry, and the surface layer slurry with the low natural vibration frequency dispersity is obtained. The optimal viscosity, silicon content, pH value and cobalt aluminate powder adding amount are determined, and the performance requirements of the shell, such as wet strength, dry strength and collapsibility, are ensured. In the alloy smelting process, by accurately controlling the power and time of induction heating, precise control over the alloy melt temperature is achieved, grains are refined, the performance consistency of turbine blades is improved, by comprehensively analyzing surface layer slurry parameters and power adjustment in alloy smelting, the performance of the turbine blades is evaluated, the low natural vibration frequency dispersity is ensured, and the performance consistency of the turbine blades is improved. And the overall performance and reliability of the turbine blade are improved.

Description

Technical Field

[0001] The invention relates to the technical field of turbine blade manufacturing, and in particular to a turbine blade surface layer slurry with low natural frequency dispersion and a production process. Background Art

[0002] With the rapid development of automobile technology, turbocharging technology has a broader development stage in automobiles. Engines using turbochargers have lower fuel consumption, greater power, and are more energy-saving and environmentally friendly, making them a hot topic in the engine market. With the gradual emphasis on new policies on energy conservation and emission reduction in automobiles, turbocharging technology has become more mature. At present, some advanced countries abroad have made great progress in the efficiency of turbochargers and matching engines, and turbocharging technology has become more and more perfect. At present, the utilization rate of turbochargers and matching engines in some advanced developed countries abroad have been greatly improved. The adoption rate of turbochargers for medium and heavy-duty engines has reached 100%, and the adoption rate of turbochargers for small and medium-sized vehicles has reached 80%. Turbocharging technology is also being used more and more in automotive diesel engines and gasoline engines.

[0003] At present, turbocharging technology is becoming more and more mature, especially in the application of internal combustion engines, and its performance and many other advantages have attracted widespread attention. In order to increase the output of internal combustion engines, turbochargers have become an important auxiliary device favored by many automobile manufacturers. However, the high failure rate of turbochargers caused by vibration and other reasons has become an urgent problem that automobile manufacturers need to solve. The purpose of this project is to study the use of efficient modeling technology, advanced manufacturing technology, etc., to design and develop a turbine blade product with low natural frequency dispersion and high strength, so as to solve the shortcomings of products on the market and improve the market competitiveness of the company's products.

[0004] The existing turbine blade manufacturing technology has the following major problems: due to the uncertainty of the ratio of the surface slurry and the alloy smelting process, the natural frequency dispersion of the turbine blades is large, which will reduce the operating stability and reliability of the turbine; in order to improve the performance of the turbine blades, expensive raw materials and technologies are usually required, which increases the manufacturing cost; due to the imprecise parameter control in the manufacturing process, the performance consistency of the turbine blades is poor, which makes it difficult to meet the requirements of high-performance turbines. Summary of the invention

[0005] The purpose of the present invention is to provide a turbine blade surface slurry with low natural frequency dispersion and a production process, and to determine the geometric shape and size of the turbine blade through modeling technology to ensure that the designed turbine blade has a suitable geometric shape and size to reduce the natural frequency dispersion; then, the surface slurry is prepared according to the optimized formula, and the optimal viscosity, silicon content, pH value and cobalt aluminate powder addition amount are determined through single-factor experiments and multi-factor experimental designs to ensure the performance requirements of the shell, such as wet strength, dry strength, disintegration, etc., while also considering the fluidity of the slurry, hardening speed and other factors; then, in the alloy smelting process, by precisely controlling the induction The heating power and time can achieve precise control of the alloy melt temperature. By gradually cooling the alloy melt, the cooling rate is reduced, thereby slowing down the growth of grains. By maintaining a specific temperature for a long time, more time and conditions are provided for the nucleating agent, which promotes the formation of more crystal nuclei and ultimately refines the grains. Finally, the performance of the turbine blades is evaluated by comprehensively analyzing the surface slurry parameters and the power regulation during alloy smelting. The heating parameters are adjusted by the deviation ratio, the turbine blade performance score is calculated, and compared with the preset turbine blade performance score threshold to ensure low natural frequency dispersion and improve the overall performance and reliability of the turbine blades.

[0006] Specifically, within the production cycle, in one production process, according to the ingredients of the surface layer slurry, the original viscosity a, the original silicon content b, the original pH value c and the original cobalt aluminate powder addition amount d are obtained respectively; the actual viscosity a1, the actual silicon content b1, the actual pH value c1 and the actual cobalt aluminate powder addition amount d1 after the stirring process are obtained; the original viscosity a is calculated by ratio with the actual viscosity a1 to obtain the viscosity deviation ratio Fa; the original silicon content b is calculated by ratio with the actual silicon content b1 to obtain the silicon content deviation ratio Fb; the original pH value c is calculated by ratio with the actual pH value c1 to obtain the pH value deviation ratio Fc; the original cobalt aluminate powder addition amount d is calculated by ratio with the actual cobalt aluminate powder addition amount d1 to obtain the cobalt aluminate powder addition amount deviation ratio Fd; the viscosity deviation ratio Fa affects the initial heating The power and heating power in the melting stage, the silicon content deviation ratio Fb affects the heating power in the uniform heating stage, and the pH value deviation ratio and the cobalt aluminate powder addition deviation ratio Fc jointly affect the holding time; the actual initial heating power, melting stage heating power, uniform heating stage heating power and holding time are calculated by the formula; the turbine blade performance score is calculated by the formula; the turbine blade performance score is compared with the preset turbine blade performance score threshold; if the turbine blade performance score is greater than or equal to the preset turbine blade performance score threshold, it means that the surface layer slurry ratio and the alloy smelting power are well designed, and the corresponding turbine blade performance is good; if the turbine blade performance score is less than the preset turbine blade performance score threshold, it means that the surface layer slurry ratio and the alloy smelting power are poorly designed, and the corresponding turbine blade performance is poor.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A production process for turbine blade surface slurry with low natural frequency dispersion includes the following steps: S1: determining a process route through modeling technology and designing a turbine blade;

[0009] S2: Single factor experiment and multi-factor experimental design were conducted on the viscosity, silicon content, pH value and amount of cobalt aluminate powder added in the facing slurry;

[0010] S3: Based on the surface slurry parameter ratio, during the alloy smelting process, the power and time of induction heating are controlled, the melt temperature is controlled, and the cooling rate is controlled to refine the grains;

[0011] S4: Comprehensive analysis of surface slurry parameters and power regulation during alloy smelting to evaluate turbine blade performance.

[0012] As a further solution of the present invention: In S1, the process route includes: product design: product design is performed by modeling technology;

[0013] Process research and development: Based on the selected equipment and in combination with the various requirements of the turbine product appearance, determine the technical details of the R&D product;

[0014] Process determination: The basic process is verified according to the inspection requirements of gas turbine blades through a variety of inspection methods to verify the various performances of the R&D products; the basic process is fine-tuned and re-tested according to the laboratory test results;

[0015] Molding process test: According to the current process, cast products and formulate molding process; develop machines and molds that meet the requirements of molding process; molding test, according to the process requirements, carry out molding process test.

[0016] As a further solution of the present invention: In S2, the single factor experimental process is:

[0017] While keeping other parameters fixed, change the viscosity and observe its effect on the slurry properties. Also, while keeping other parameters fixed, change the silicon content and observe its effect on the slurry properties. While keeping other parameters fixed, change the pH value and observe its effect on the slurry properties. While keeping other parameters fixed, change the addition amount and observe its effect on the slurry properties.

[0018] As a further solution of the present invention: In S2, the multi-factor experimental process is:

[0019] Orthogonal experimental design is used to consider the changes in multiple parameters at the same time to find the optimal combination. Through multi-factor experiments, the interaction between viscosity, silicon content, pH value and the amount of cobalt aluminate powder added can be considered at the same time. Based on the results of multi-factor experiments, a mathematical model is established using the response surface method to predict the slurry performance under different parameter combinations. Through model optimization, the best parameter combination is found.

[0020] As a further solution of the present invention: In S3, the temperature of the alloy melt is precisely controlled by accurately controlling the power and time of induction heating; the cooling rate of the alloy melt is reduced by gradually cooling the temperature, thereby slowing down the growth rate of the grains; by maintaining a specific temperature for a long time, more time and conditions are provided for the nucleating agent, thereby promoting the formation of more crystal nuclei; and grain refinement is achieved by controlling the number and growth rate of crystal nuclei.

[0021] As a further solution of the present invention: the adjustment process of the heating power is:

[0022] By formula P C = k*M to calculate the initial heating power P C , where k is the preset heating coefficient and M is the mass of the alloy raw material;

[0023] By formula P M =P C -β*(T D -T K ) Calculate the heating power P in the melting stage M , where β is the preset power adjustment factor, T D is the current temperature, T K is the melting point of the alloy;

[0024] By formula P U =P M -α*(T D -T S ) Calculate the heating power P in the uniform heating stage U , where α is the preset power adjustment factor, T S It is the set temperature for uniform heating.

[0025] As a further solution of the present invention: the heat preservation time calculation process is:

[0026] By formula t h =C*V to calculate the holding time t h , C is the preset insulation coefficient, and V is the volume of the alloy melt.

[0027] As a further solution of the present invention: In S4, the comprehensive analysis process is:

[0028] After the stirring process, the actual viscosity a1, the actual silicon content b1, the actual pH value c1 and the actual amount of cobalt aluminate powder added d1 are obtained; the original viscosity a is calculated by ratio with the actual viscosity a1 to obtain the viscosity deviation ratio Fa; the original silicon content b is calculated by ratio with the actual silicon content b1 to obtain the silicon content deviation ratio Fb; the original pH value c is calculated by ratio with the actual pH value c1 to obtain the pH value deviation ratio Fc; the original cobalt aluminate powder addition amount d is calculated by ratio with the actual cobalt aluminate powder addition amount d1 to obtain the cobalt aluminate powder addition amount deviation ratio Fd;

[0029] The viscosity deviation ratio Fa affects the initial heating power and the heating power in the melting stage, the silicon content deviation ratio Fb affects the heating power in the uniform heating stage, and the pH value deviation ratio and the cobalt aluminate powder addition deviation ratio Fc jointly affect the holding time.

[0030] As a further solution of the present invention: obtaining the set initial heating power P C , Heating power P during melting stage M , Heating power P in uniform heating stage U and holding time t h ;

[0031] By formula P C1 =k*M*F a Calculate the actual initial heating power P C1 ;

[0032] By formula P M1 =P C -β*(T D -T K )*Fa to calculate the actual heating power P in the melting stage M1 ;

[0033] By formula P U1 =P M -α*(T D -T S )*Fb to calculate the actual uniform heating stage heating power P U1 ;

[0034] By formula t h1 =C*V*Fc*Fd to calculate the actual holding time t h1 ;

[0035] By formula The turbine blade performance fraction θ is calculated.

[0036] A production process for turbine blade surface layer slurry with low natural frequency dispersion. The turbine blade surface layer slurry with low natural frequency dispersion is prepared by the above-mentioned production process.

[0037] Beneficial effects of the present invention:

[0038] (1) The present invention significantly improves the natural frequency stability of turbine blades by comprehensively considering the ratio of the surface slurry and the alloy smelting process. First, in the design stage, the geometric shape and size of the turbine blade are determined by modeling technology to reduce the dispersion of the natural frequency. This design ensures that the turbine blade has more consistent physical properties during the manufacturing process, thereby reducing the natural frequency fluctuation caused by shape and size differences. Secondly, by conducting single-factor experiments and multi-factor experimental designs on the surface slurry, the optimal viscosity, silicon content, pH value and cobalt aluminate powder addition amount are determined. The selection of these parameters not only takes into account the performance requirements of the shell, such as wet strength, dry strength, and collapsibility, but also takes into account factors such as the fluidity and hardening speed of the slurry, thereby ensuring the uniformity and consistency of the shell. In addition, by accurately controlling the heating power and time during the alloy smelting process, the temperature of the alloy melt is accurately controlled. This control helps to refine the grains and reduce the unevenness of the grain size, thereby reducing the dispersion of the natural frequency caused by differences in grain structure. Combining these measures, the present invention effectively improves the natural frequency stability of the turbine blades, ensuring the ability of the turbine blades to operate reliably for a long time in a high temperature and high pressure environment;

[0039] (2) The present invention effectively reduces the manufacturing cost of turbine blades by optimizing the ratio of the surface layer slurry and the alloy smelting process. In terms of the ratio of the surface layer slurry, the optimal viscosity, silicon content, pH value and amount of cobalt aluminate powder added are determined through single-factor experiments and multi-factor experimental designs. The selection of these parameters enables the surface layer slurry to meet the performance requirements of the shell while avoiding excessive use of expensive raw materials, thereby reducing the cost of raw materials. In terms of the alloy smelting process, precise control of the temperature of the alloy melt is achieved by precisely controlling the heating power and time. This precise temperature control not only helps to refine the grains, but also reduces the scrap rate caused by improper temperature control and reduces material waste. In addition, by controlling the cooling rate, the grains are further refined and the utilization rate of the alloy material is improved. In general, the present invention not only improves the performance of turbine blades by optimizing the ratio of the surface layer slurry and the alloy smelting process, but also reduces the cost in the manufacturing process and improves the economic benefits.

[0040] (3) The present invention significantly improves the overall performance of the turbine blade by comprehensively considering the ratio of the surface slurry and the alloy smelting process. First, by accurately controlling the ratio of the surface slurry, it is ensured that the shell has good physical properties, such as wet strength, dry strength, and disintegration, which are directly related to the durability and service life of the turbine blade. Secondly, by controlling the heating power and time during the alloy smelting process, the temperature of the alloy melt is accurately controlled, the grains are refined, and the mechanical properties of the alloy material are improved. This effect of refining the grains helps to improve the fatigue resistance and corrosion resistance of the turbine blade and extend the service life of the turbine blade. In addition, by comprehensively analyzing the surface slurry parameters and the power regulation in the alloy smelting, the turbine blade performance is evaluated and the turbine blade is ensured to have good self-vibration frequency consistency. This consistency is crucial to the overall operation of the turbine because it helps to reduce the vibration and noise of the turbine during operation and improves the efficiency and reliability of the turbine. In summary, the present invention effectively improves the overall performance of the turbine blade and enhances the operating stability and economy of the turbine by optimizing the ratio of the surface slurry and the alloy smelting process. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Figure 1 This is a flowchart of the specific steps of the production process of a turbine blade surface slurry with low natural frequency dispersion of the present invention;

[0043] Figure 2 It is a flowchart of the production process of turbine blade surface slurry with low natural frequency dispersion of the present invention and the turbine blade performance judgment and annotation process;

[0044] Figure 3 The present invention is a flowchart of the production process of turbine blade surface slurry with low natural frequency dispersion. DETAILED DESCRIPTION

[0045] 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.

[0046] See also Figure 1 As shown, the present invention is a production process of turbine blade surface slurry with low natural frequency dispersion, comprising the following steps:

[0047] S1: Design turbine blades by determining geometry and dimensions using modeling techniques;

[0048] S2: Single factor experiment and multi-factor experimental design were conducted on the viscosity, silicon content, pH value and amount of cobalt aluminate powder added in the facing slurry;

[0049] S3: Based on the surface slurry parameter ratio, during the alloy smelting process, the power and time of induction heating are controlled, the melt temperature is controlled, and the cooling rate is controlled to refine the grains;

[0050] S4: Comprehensive analysis of surface slurry parameters and power regulation during alloy smelting to evaluate turbine blade performance.

[0051] Example 2

[0052] See also Figure 3 As shown, on the basis of Example 1, product design is carried out through modeling technology to ensure that the designed turbine blades have suitable geometric shapes and sizes to reduce the dispersion of natural frequency; on the basis of selected equipment, the technical details of the R&D product are determined in combination with the appearance and performance requirements of the turbine blades; through the trial operation of different workpieces, a basic process that meets the R&D technical standards is finally formed; the basic process verifies the various performances of the R&D product through a variety of detection methods in accordance with the detection requirements of gas turbine turbine blades; fine-tunes are made according to the laboratory test results, and then tested until they fully meet the requirements; according to the current process, the product is cast and the molding process is formulated; machines and molds that meet the molding process requirements are developed; molding process tests are carried out according to the process requirements, and test samples are produced; and the various performances of the test samples are verified through a variety of detection methods.

[0053] The surface slurry is prepared according to the optimized formula, where the surface slurry includes viscosity: according to the process requirements, the ideal range of viscosity is determined. Too high viscosity will make the slurry difficult to flow and difficult to apply evenly; too low viscosity may cause the slurry to sag, affecting the thickness uniformity of the shell; silicon content: silicon content affects the hardening degree of the slurry and the strength of the final shell. Too high or too low silicon content will affect the performance of the shell; pH value: pH value affects the chemical stability of the slurry. Too low or too high pH value will cause the slurry to be unstable and affect the hardening effect; the amount of cobalt aluminate powder added: as a nucleating agent, the amount added directly affects the degree of grain refinement. Too much or too little will affect the performance of the final product.

[0054] A single-factor experiment was conducted on the surface layer slurry. While keeping other parameters fixed, the viscosity was changed to observe its effect on the slurry performance. While keeping other parameters fixed, the silicon content was changed to observe its effect on the slurry performance. While keeping other parameters fixed, the pH value was changed to observe its effect on the slurry performance. While keeping other parameters fixed, the addition amount was changed to observe its effect on the slurry performance.

[0055] A multi-factor experimental design was carried out on the facing slurry. The orthogonal experimental design was used to consider the changes of multiple parameters at the same time to find the optimal combination. Through multi-factor experiments, the interaction between viscosity, silicon content, pH value and the amount of cobalt aluminate powder added can be considered at the same time. Based on the results of the multi-factor experiments, a mathematical model was established using the response surface method to predict the slurry performance under different parameter combinations. Through model optimization, the best parameter combination was found.

[0056] Taking the experimental results into consideration, the optimal viscosity, silicon content, pH value and amount of cobalt aluminate powder added were determined.

[0057] It should be noted that: the response surface method is an existing technology; these parameters should be able to meet the performance requirements of the shell, such as wet strength, dry strength, collapsibility, etc., and factors such as the fluidity and hardening speed of the slurry should also be considered.

[0058] Example 3

[0059] On the basis of Example 2, based on the parameter ratio of the surface slurry, during the alloy smelting process, the temperature of the alloy melt is accurately controlled by precisely controlling the power and time of induction heating; the cooling rate of the alloy melt is reduced by gradually cooling the temperature, thereby slowing down the growth rate of the grains; by maintaining a specific temperature for a long time, more time and conditions are provided for the nucleating agent, thereby promoting the formation of more nuclei; grain refinement is achieved by controlling the number and growth rate of nuclei, and more nuclei mean finer grains.

[0060] Specific:

[0061] The alloy raw materials are heated to a molten state using an induction heating furnace. During the smelting process, the power and time of induction heating are adjusted in stages according to a predetermined heating curve to ensure that the temperature of the alloy melt rises evenly to the set value; after the alloy melt reaches a certain temperature, the heating power is reduced to keep the melt at this temperature for a period of time to provide more time and conditions for the nucleating agent to form crystal nuclei; by adjusting the holding time and temperature, the nucleating agent is ensured to be evenly distributed in the melt and promote the formation of more crystal nuclei; after the crystal nuclei are formed, the heating power is continued to be slowly reduced to gradually cool the melt; the cooling rate is controlled to ensure that the growth rate of the grains is slowed down, thereby refining the grains; when the alloy melt is cooled to the casting temperature, it is cast into a preheated mold; the grains are further refined by controlling the mold temperature and the casting speed;

[0062] Among them, the adjustment process of heating power is:

[0063] By formula P C = k*M to calculate the initial heating power P C , where k is the preset heating coefficient and M is the mass of the alloy raw material;

[0064] By formula P M =P C -β*(T D -T K ) Calculate the heating power P in the melting stage M , where β is the preset power adjustment factor, T D is the current temperature, T K is the melting point of the alloy;

[0065] By formula P U =P M -α*(T D -T S ) Calculate the heating power P in the uniform heating stage U , where α is the preset power adjustment factor, T S is the set temperature for uniform heating;

[0066] The calculation process of holding time is:

[0067] By formula t h =C*V to calculate the holding time t h , C is the preset insulation coefficient, and V is the volume of the alloy melt.

[0068] It should be noted that during the entire heating process, the temperature of the melt needs to be continuously monitored to ensure that the temperature rises evenly to the set value and maintains a constant temperature during the crystal nucleus formation stage. According to the actual temperature changes, the heating power is adjusted in time to ensure the temperature control accuracy. Generally speaking, the longer the insulation time, the more crystal nuclei are formed and the finer the grains.

[0069] Example 4

[0070] See also Figure 2 As shown, based on Example 2 and Example 3, the effects of viscosity, silicon content, pH value, amount of cobalt aluminate powder added, initial heating power, heating power in the melting stage, heating power in the uniform heating stage and holding time on the performance of turbine blades were evaluated;

[0071] Specific:

[0072] Within the production cycle, in one production process, according to the ingredients of the surface layer slurry, the original viscosity a, the original silicon content b, the original pH value c and the original cobalt aluminate powder addition amount d are obtained respectively; the actual viscosity a1, the actual silicon content b1, the actual pH value c1 and the actual cobalt aluminate powder addition amount d1 after the stirring process are obtained; the original viscosity a is calculated by ratio with the actual viscosity a1 to obtain the viscosity deviation ratio Fa; the original silicon content b is calculated by ratio with the actual silicon content b1 to obtain the silicon content deviation ratio Fb; the original pH value c is calculated by ratio with the actual pH value c1 to obtain the pH value deviation ratio Fc; the original cobalt aluminate powder addition amount d is calculated by ratio with the actual cobalt aluminate powder addition amount d1 to obtain the cobalt aluminate powder addition amount deviation ratio Fd;

[0073] The viscosity deviation ratio Fa affects the initial heating power and the heating power in the melting stage, the silicon content deviation ratio Fb affects the heating power in the uniform heating stage, and the pH value deviation ratio and the cobalt aluminate powder addition deviation ratio Fc jointly affect the holding time;

[0074] Get the set initial heating power P C , Heating power P during melting stage M , Heating power P in uniform heating stage U and holding time t h ;

[0075] By formula P C1 =k*M*F a Calculate the actual initial heating power P C1 ;

[0076] By formula P M1 =P C -β*(T D -P K )*Fa to calculate the actual heating power P in the melting stage M1 ;

[0077] By formula P U1 =P M -α*(T D -T S )*Fb to calculate the actual uniform heating stage heating power P U1 ;

[0078] By formula t h1 =C*V*Fc*Fd to calculate the actual holding time t h1 ;

[0079] By formula The turbine blade performance fraction θ is calculated;

[0080] comparing the turbine blade performance score θ with a preset turbine blade performance score threshold;

[0081] If the turbine blade performance score θ is greater than or equal to the preset turbine blade performance score threshold, it means that the surface layer slurry ratio and the alloy smelting power are well designed, and the corresponding turbine blade performance is good;

[0082] If the turbine blade performance score θ is less than the preset turbine blade performance score threshold, it means that the surface layer slurry ratio and the alloy smelting power are poorly designed, and the corresponding turbine blade performance is poor;

[0083] It should be noted that the turbine blade performance score θ is obtained through comprehensive analysis of the surface slurry ratio and the alloy melting power, which can effectively evaluate the dispersion of the blade's natural frequency and improve the overall natural frequency level of the blade.

[0084] Example 5

[0085] A production process for turbine blade surface layer slurry with low natural frequency dispersion. The turbine blade surface layer slurry with low natural frequency dispersion is prepared by the above-mentioned production process.

[0086] The working principle of the present invention: by comprehensively considering the ratio of the surface slurry and the alloy smelting process, the stability and consistency of the natural frequency of the turbine blades can be achieved. First, the geometric shape and size of the turbine blades are determined by modeling technology to ensure that the designed turbine blades have suitable geometric shapes and sizes to reduce the dispersion of the natural frequency; then, the surface slurry is prepared according to the optimized formula, and the optimal viscosity, silicon content, pH value and cobalt aluminate powder addition are determined through single-factor experiments and multi-factor experimental designs to ensure the performance requirements of the shell, such as wet strength, dry strength, disintegration, etc., while also considering factors such as the fluidity and hardening speed of the slurry; then, during the alloy smelting process, the temperature of the alloy melt is accurately controlled by precisely controlling the power and time of the induction heating, and the cooling rate of the alloy melt is reduced by gradually cooling it, thereby slowing down the temperature. The rate of grain growth is determined by maintaining a specific temperature for a long time to provide more time and conditions for the nucleating agent, which promotes the formation of more nuclei and ultimately refines the grains. Finally, the performance of the turbine blade is evaluated by comprehensively analyzing the surface slurry parameters and power regulation during alloy smelting. The heating parameters are adjusted by deviation ratio, and the turbine blade performance score is calculated and compared with the preset turbine blade performance score threshold to ensure low natural frequency dispersion and improve the overall performance and reliability of the turbine blade. Specifically, within the production cycle, in a production process, according to the ingredients of the surface slurry, the original viscosity a, original silicon content b, original pH value c and original cobalt aluminate powder addition amount d are obtained respectively; the stirring The actual viscosity a1, actual silicon content b1, actual pH value c1 and actual cobalt aluminate powder addition amount d1 after the process; the original viscosity a is calculated by ratio with the actual viscosity a1 to obtain the viscosity deviation ratio Fa; the original silicon content b is calculated by ratio with the actual silicon content b1 to obtain the silicon content deviation ratio Fb; the original pH value c is calculated by ratio with the actual pH value c1 to obtain the pH value deviation ratio Fc; the original cobalt aluminate powder addition amount d is calculated by ratio with the actual cobalt aluminate powder addition amount d1 to obtain the cobalt aluminate powder addition amount deviation ratio Fd; the viscosity deviation ratio Fa affects the initial heating power and the heating power in the melting stage, the silicon content deviation ratio Fb affects the heating power in the uniform heating stage, and the pH The value deviation ratio and the cobalt aluminate powder addition deviation ratio Fc jointly affect the holding time; the actual initial heating power, melting stage heating power, uniform heating stage heating power and holding time are calculated by the formula; the turbine blade performance score is calculated by the formula; the turbine blade performance score is compared with the preset turbine blade performance score threshold; if the turbine blade performance score is greater than or equal to the preset turbine blade performance score threshold, it means that the surface layer slurry ratio and the alloy melting power are well designed, and the corresponding turbine blade performance is good; if the turbine blade performance score is less than the preset turbine blade performance score threshold, it means that the surface layer slurry ratio and the alloy melting power are poorly designed, and the corresponding turbine blade performance is poor.

[0087] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A production process for turbine blade surface slurry with low natural frequency dispersion, characterized in that: The following steps are involved: S1: Determine the process route and design turbine blades through modeling technology; S2: Single factor experiment and multi-factor experimental design were conducted on the viscosity, silicon content, pH value and amount of cobalt aluminate powder added in the facing slurry; S3: Based on the surface slurry parameter ratio, during the alloy smelting process, the power and time of induction heating are controlled, the melt temperature is controlled, and the cooling rate is controlled to refine the grains; S4: Comprehensive analysis of surface slurry parameters and power regulation during alloy smelting to evaluate turbine blade performance.

2. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 1 is characterized in that: In S1, the process route includes: Product design: product design is carried out through modeling technology; Process research and development: Based on the selected equipment and in combination with the various requirements of the turbine product appearance, determine the technical details of the R&D product; Process determination: The basic process is verified according to the inspection requirements of gas turbine blades through a variety of inspection methods to verify the various performances of the R&D products; the basic process is fine-tuned and re-tested according to the laboratory test results; Molding process test: According to the current process, cast products and formulate molding process; develop machines and molds that meet the molding process requirements; molding test, according to the process requirements, carry out molding process test.

3. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 1 is characterized in that: In S2, the single factor experimental process is: While keeping other parameters fixed, change the viscosity and observe its effect on the slurry properties. Also, while keeping other parameters fixed, change the silicon content and observe its effect on the slurry properties. While keeping other parameters fixed, change the pH value and observe its effect on the slurry properties. While keeping other parameters fixed, change the addition amount and observe its effect on the slurry properties.

4. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 1 is characterized in that: In S2, the multi-factor experimental process is: Orthogonal experimental design is used to consider the changes in multiple parameters at the same time to find the optimal combination. Through multi-factor experiments, the interaction between viscosity, silicon content, pH value and the amount of cobalt aluminate powder added can be considered at the same time. Based on the results of multi-factor experiments, a mathematical model is established using the response surface method to predict the slurry performance under different parameter combinations. Through model optimization, the best parameter combination is found.

5. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 1 is characterized in that: In S3, the temperature of the alloy melt is precisely controlled by precisely controlling the power and time of induction heating; the cooling rate of the alloy melt is reduced by gradually lowering the temperature, thereby slowing down the growth of the grains; by maintaining a specific temperature for a long time, more time and conditions are provided for the nucleating agent, prompting the formation of more crystal nuclei; and grain refinement is achieved by controlling the number and growth rate of crystal nuclei.

6. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 5 is characterized in that: The adjustment process of heating power is: By formula P C = k*M to calculate the initial heating power P C , where k is the preset heating coefficient and M is the mass of the alloy raw material; By formula P M =P C -β*(T D -T K ) Calculate the heating power P in the melting stage M , where β is the preset power adjustment factor, T D is the current temperature, T K is the melting point of the alloy; By formula P U =P M -α*(T D -T S ) Calculate the heating power P in the uniform heating stage U , where α is the preset power adjustment factor, T S It is the set temperature for uniform heating.

7. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 1 is characterized in that: The calculation process of holding time is: By formula t h =C*V to calculate the holding time t h , C is the preset insulation coefficient, and V is the volume of the alloy melt.

8. The method for removing hypophosphorous acid from chemical plating wastewater by integrated high-efficiency oxidation according to claim 1, characterized in that: In S4, the comprehensive analysis process is: After the stirring process, the actual viscosity a1, the actual silicon content b1, the actual pH value c1 and the actual amount of cobalt aluminate powder added d1 are obtained; the original viscosity a is calculated by ratio with the actual viscosity a1 to obtain the viscosity deviation ratio Fa; the original silicon content b is calculated by ratio with the actual silicon content b1 to obtain the silicon content deviation ratio Fb; the original pH value c is calculated by ratio with the actual pH value c1 to obtain the pH value deviation ratio Fc; the original cobalt aluminate powder addition amount d is calculated by ratio with the actual cobalt aluminate powder addition amount d1 to obtain the cobalt aluminate powder addition amount deviation ratio Fd; The viscosity deviation ratio Fa affects the initial heating power and the heating power in the melting stage, the silicon content deviation ratio Fb affects the heating power in the uniform heating stage, and the pH value deviation ratio and the cobalt aluminate powder addition deviation ratio Fc jointly affect the holding time.

9. The production process of a turbine blade surface slurry with low natural frequency dispersion according to claim 1 is characterized in that: Get the set initial heating power P C , Heating power P in melting stage M , Heating power P in uniform heating stage U and holding time t h ; By formula P C1 =k*M*F a Calculate the actual initial heating power P C1 ; By formula P M1 =P C -β*(T D -T K )*Fa to calculate the actual heating power P in the melting stage M1 ; By formula P U1 =P M -α*(T D -T S )*Fb to calculate the actual uniform heating stage heating power P U1 ; By formula t h1 =C*V*Fc*Fd to calculate the actual holding time t h1 ; By formula The turbine blade performance fraction θ is calculated.

10. A process for producing turbine blade surface slurry with low natural frequency dispersion, characterized in that: The turbine blade surface layer slurry with low natural frequency dispersion is prepared by the production process described in any one of claims 1-9.

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