Shaft system connection optimization method of vertical speed reducer

Abstract

The invention discloses a vertical speed reducer shaft system connection optimization method, which constructs a closed-loop optimization method of'fault statistics, modeling simulation, coupling design and experimental verification '. The defects of the existing rigid flange and the plum coupling are fundamentally positioned and overcome. The fault statistics in the step S1 provides actual data support for subsequent optimization, and blind design is avoided; the modeling simulation in the step S2 accurately determines a failure mechanism by comparing the states before and after improvement; coupling design in the step S3 is based on a failure mechanism, and optimization pertinence is ensured; and S4, verifying the effectiveness of the guarantee scheme through experiments. The overall method can remarkably reduce vibration transmission and stress concentration, improve the reliability of the vertical speed reducer and reduce the operation and maintenance cost.

Description

Technical Field

[0001] This invention relates to the field of mechanical transmission devices in nuclear power plants, and in particular to an optimization method for shaft connection of a vertical reducer. Background Technology

[0002] In industrial settings such as CFI systems in nuclear power plants, vertical gearboxes are critical power transmission devices. Their structure consists of three gearboxes, forming a multi-stage worm-wheel series mechanism. The worm wheel of the second-stage gearbox is the power output end, driving a coaxial pinion to rotate and transmitting power to the drum-shaped filter screen via a large gear meshing with the pinion. Two identical first-stage gearboxes are mounted at the upper and lower ends of the worm shaft of the second-stage gearbox. The lower first-stage gearbox is equipped with two low-speed motors (one in operation and one on standby), while the upper first-stage gearbox is equipped with one medium / high-speed motor. When any motor starts, all three gearboxes operate synchronously, with the remaining motors following suit. Each motor is fixed to the corresponding first-stage gearbox housing via a tapered flange, and a portion of the motor's weight is unloaded by elastic supports.

[0003] In existing technologies, the motor and primary gearbox housing of vertical reducers are generally connected by rigid flanges, and the shaft system uses a lamellar coupling to transmit power. This connection method has significant drawbacks, specifically: vibration and load transmission issues: the weight, vibration, and sway of the motor are directly transmitted to the gearbox through the rigid flange, causing stress concentration in the bearings, worm gears, and other components inside the gearbox, which can easily lead to fatigue damage; the rigid connection cannot accommodate the axial, radial, and angular relative movements between the motor and the gearbox, subjecting the gearbox to additional three-dimensional loads and further increasing the risk of failure.

[0004] The performance of the plum blossom coupling is insufficient: Although the plum blossom coupling belongs to the category of flexible couplings, it cannot adapt to the special working conditions of vertical reducers. First, its rubber elastic blocks are subjected to three-dimensional loads for a long time, which makes them prone to aging and deformation, leading to coupling failure. Second, the structural design cannot meet the requirements of frequent start-stop and dynamic displacement between the motor and the gearbox. Third, the transmission efficiency is low, and vibration and noise are easily generated under high-speed or heavy-load conditions, which eventually leads to failures such as bearing damage, worm gear breakage, and worm wheel wear in the reducer. This not only reduces the reliability of the equipment, but also significantly increases the investment of operation and maintenance resources in scenarios such as nuclear power plants. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an optimization method for shaft connection of a vertical reducer.

[0006] The technical solution adopted by this invention to solve its technical problem is: to construct an optimization method for shaft system connection of a vertical reducer, which includes the following steps: S1. Collect vibration amplitude and frequency data of faulty parts of the vertical reducer and worm shaft torque data. Based on the fault problems of the vertical reducer, conduct fault statistics and derive a theoretical analysis report based on the fault statistics results. S2. Based on the Lagrange equation, for the two states before and after the improvement of the connection method between the gearbox and the motor, respectively, a static and multibody dynamic model of the system including the gearbox, drum mesh, drive gear, drive shaft and motor is established, numerical simulation calculation is performed, and the mechanical properties of the entire mechanical model are simulated and analyzed. The multidimensional vibration amplitude and direction of the gearbox under normal and abnormal operating conditions are obtained through simulation analysis. Time domain and frequency domain analysis are performed to obtain the transmission path, influence law and fault generation mechanism of vibration response. S3. Based on the fault generation mechanism obtained in step S2, select and design the coupling structure to obtain an optimized design scheme; S4. Based on the theoretical analysis report obtained in step S1 and the optimized design scheme obtained in step S3, build a connection test platform that can simulate actual working conditions, so as to verify the effectiveness and reliability of the optimized design scheme through experiments.

[0007] In some embodiments, the faults of the vertical reducer in step S1 include bearing damage, worm gear breakage, and worm wheel wear.

[0008] In some embodiments, the data related to the faulty component collected in step S1 may also include the temperature data and the load data borne by the faulty component. The faulty components include the bearing and the worm gear.

[0009] In some embodiments, in step S1, the fault statistics of the system are as follows: fault data of the gearbox is collected, the occurrence frequency and fault interval time of each fault type of different gearboxes are counted, and the occurrence rate of each fault type is calculated.

[0010] In some embodiments, in step S2, the two states are: the state before the improvement where the gearbox and the motor are connected by a rigid flange and a plum blossom coupling, and the state after the improvement where the gearbox and the motor are connected by an optimized connection structure.

[0011] In some embodiments, in step S2, the time-domain and frequency-domain analysis includes: performing time-domain analysis on the variation of multidimensional vibration amplitude and direction with time to determine the peak occurrence time and duration of vibration; Frequency domain analysis was performed on the frequency distribution characteristics of multidimensional vibrations to determine the dominant vibration frequency and the proportion of each frequency component. By combining time-domain and frequency-domain analysis, the transmission path of vibration response from the motor to the internal components of the gearbox is determined, as well as the influence of different operating conditions on the vibration transmission law.

[0012] In some embodiments, in step S2, the simulation analysis of the mechanical properties of the entire mechanical model is to analyze the stress distribution, strain, and load transfer efficiency of the system under different working conditions. The stress distribution analysis determines the maximum stress value and its location based on the stress concentration areas of the worm shaft and bearings in the gearbox. The load transfer efficiency analysis is used to evaluate the transmission losses of vibration and torque between the motor, coupling, and gearbox.

[0013] In some embodiments, when selecting a coupling in step S3, the axial compensation capability, radial compensation capability, and angular compensation capability of various couplings are analyzed, and a coupling type whose compensation capability meets the relative motion requirements of the gearbox and the motor is selected. The relative motion requirements include accommodating axial, radial, and angular displacements caused by vibration between the motor and the gearbox.

[0014] In some embodiments, in step S4, the connection experimental platform includes a data acquisition module and a loading module; The data acquisition module is used to collect vibration, torque, and temperature data of the gearbox, coupling, and motor during the experiment. The loading module is used to simulate different load conditions of the CFI gearbox in actual operation, including rated load, overload load, and variable load.

[0015] In some embodiments, step S5 is also included: based on the experimental verification results of step S4, after confirming that the new connection design meets the actual application requirements, the improved connection scheme between the gearbox and the motor is installed and debugged on the vertical gearbox, and the operating data after application is monitored.

[0016] Implementing this invention offers the following advantages: The vertical reducer shaft connection optimization method constructs a closed-loop optimization approach encompassing "fault statistics - modeling and simulation - coupling design - experimental verification." Through a systematic process rather than simply replacing components, it fundamentally identifies and resolves the defects of existing rigid flanges and perforated couplings. Fault statistics in step S1 provide practical data support for subsequent optimization, avoiding blind design; modeling and simulation in step S2 accurately determine the fault mechanism by comparing the states before and after improvement; coupling design in step S3 is based on the fault mechanism, ensuring targeted optimization; and experimental verification in step S4 guarantees the effectiveness of the solution. The overall method can significantly reduce vibration transmission and stress concentration, improve the reliability of the vertical reducer, and reduce operation and maintenance costs. Attached Figure Description

[0017] To more clearly illustrate the technical solution of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort. In the drawings: Figure 1 This is a schematic diagram of the overall process of the vertical reducer shaft connection optimization method in some embodiments of the present invention. Detailed Implementation

[0018] To provide a clearer understanding of the technical features, objectives, and effects of this invention, specific embodiments are now described in detail with reference to the accompanying drawings. In the following description, it should be understood that the orientations or positional relationships indicated by terms such as "front," "rear," "upper," "lower," "left," "right," "longitudinal," "horizontal," "vertical," "horizontal," "top," "bottom," "inner," "outer," "head," and "tail" are based on the orientations or positional relationships shown in the accompanying drawings, and are constructed and operated in a specific orientation. They are only for the convenience of describing this technical solution and do not indicate that the device or element referred to must have a specific orientation; therefore, they should not be construed as limitations on this invention.

[0019] It should also be noted that, unless otherwise explicitly specified and limited, terms such as "installation," "connection," "linking," "fixing," and "setting" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. When an component is referred to as being "on" or "below" another component, the component can be located "directly" or "indirectly" on the other component, or there may be one or more intermediary components. The terms "first," "second," "third," etc., are only for the convenience of describing this technical solution and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, features defined with "first," "second," "third," etc., may explicitly or implicitly include one or more of that feature. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.

[0020] Please see Figure 1 This is a method for optimizing the shaft connection of a vertical reducer in some embodiments of the present invention, which includes the following steps: S1. Collect vibration amplitude and frequency data of faulty parts of the vertical reducer and worm shaft torque data. Based on the fault problems of the vertical reducer, conduct fault statistics and derive a theoretical analysis report based on the fault statistics results. S2. Based on the Lagrange equation, for the two states before and after the improvement of the connection method between the gearbox and the motor, respectively, a static and multibody dynamic model of the system including the gearbox, drum mesh, drive gear, drive shaft and motor is established, numerical simulation calculation is performed, and the mechanical properties of the entire mechanical model are simulated and analyzed. The multidimensional vibration amplitude and direction of the gearbox under normal and abnormal operating conditions are obtained through simulation analysis. Time domain and frequency domain analysis are performed to obtain the transmission path, influence law and fault generation mechanism of vibration response. S3. Based on the fault generation mechanism obtained in step S2, select and design the coupling structure to obtain an optimized design scheme; S4. Based on the theoretical analysis report obtained in step S1 and the optimized design scheme obtained in step S3, build a connection test platform that can simulate actual working conditions, so as to verify the effectiveness and reliability of the optimized design scheme through experiments.

[0021] Understandably, this gearbox is specifically a CFI gearbox. The shaft connection optimization method for this vertical gearbox constructs a closed-loop optimization approach encompassing "fault statistics - modeling and simulation - coupling design - experimental verification." Through a systematic process rather than simply replacing components, it fundamentally locates and resolves the defects of existing rigid flanges and perforated couplings. Step S1, fault statistics, provides practical data support for subsequent optimization, avoiding blind design; step S2, modeling and simulation, accurately determines the fault mechanism by comparing the states before and after improvement; step S3, coupling design, is based on the fault mechanism, ensuring targeted optimization; and step S4, experimental verification, guarantees the effectiveness of the solution. The overall method can significantly reduce vibration transmission and stress concentration, improve the reliability of the vertical gearbox, and reduce operation and maintenance costs.

[0022] The faults in the vertical reducer identified in step S1 include bearing damage, worm gear breakage, and worm wheel wear. These are clearly the core failure modes of the vertical reducer. By focusing on these key faults, the fault statistics in step S1 become more targeted, avoiding interference from irrelevant fault data. This ensures that subsequent modeling and simulation, as well as coupling design, revolve around these core issues, improving optimization efficiency and accuracy.

[0023] The data collected in step S1 related to the faulty components also includes temperature data and load data of the faulty components; the faulty components include bearings and worm gears. In addition to vibration amplitude, frequency, and worm gear shaft torque, temperature and load data of the faulty components are added, and the faulty components are clearly identified as bearings and worm gears. Temperature data reflects the thermal aging or overload condition of the components, while load data quantifies the actual stress state of the components. Combining these two data makes the fault statistics more comprehensive, avoiding misjudgments of fault mechanisms due to relying solely on vibration and torque, and providing more accurate input parameters for modeling and simulation in step S2, thus improving the accuracy of fault mechanism analysis.

[0024] In step S1, the system's fault statistics involve collecting fault data from the gearboxes, statistically analyzing the frequency and interval of each fault type for different gearboxes, and calculating the incidence rate of each fault type. By statistically analyzing the frequency, interval, and incidence rate of each fault type in different gearboxes, quantitative analysis of fault data is achieved, thereby identifying high-frequency and high-severity fault types. Simultaneously, statistical data from multiple gearboxes avoids random errors from a single device, ensuring the generalizability of fault patterns and providing a reliable practical basis for subsequent optimization design.

[0025] In step S2, there are two states: the state before improvement, where the gearbox and motor are connected by a rigid flange and a perforated coupling; and the state after improvement, where the gearbox and motor are connected by an optimized connection structure. These two states can be directly compared in the modeling and simulation of step S2. By comparing the vibration transmission, stress distribution, and load efficiency under the two states, the optimization effect of the improved scheme can be intuitively verified.

[0026] In step S2, the time-domain and frequency-domain analysis includes: performing time-domain analysis on the changes in multidimensional vibration amplitude and direction over time to determine the peak occurrence time and duration of the vibration; performing frequency-domain analysis on the frequency distribution characteristics of the multidimensional vibration to determine the dominant vibration frequency and the proportion of each frequency component; and combining time-domain and frequency-domain analysis to determine the transmission path of the vibration response from the motor to the internal components of the gearbox, as well as the influence of different operating conditions on the vibration transmission law. Time-domain analysis can capture the dynamic changes of vibration, while frequency-domain analysis can locate the dominant vibration source. The combination of the two can accurately trace the vibration transmission path and the influence of operating conditions, avoiding the ambiguity of the fault mechanism caused by relying solely on single-domain analysis.

[0027] In step S2, the mechanical properties of the entire mechanical model are simulated and analyzed to assess the stress distribution, strain, and load transfer efficiency of the system under different operating conditions. Stress distribution analysis determines the maximum stress value and its location based on the stress concentration areas of the worm shaft and bearings in the gearbox. Load transfer efficiency analysis evaluates the transmission losses of vibration and torque between the motor, coupling, and gearbox. Stress distribution analysis can locate stress concentration at the step of the worm shaft, providing a specific target for reducing stress in this area in the coupling design. Load transfer efficiency analysis quantifies the transmission losses of vibration and torque, avoiding focusing solely on vibration while neglecting torque transmission efficiency. The combination of these two analyses makes the mechanical property analysis in step S2 more comprehensive, ensuring that the optimized scheme does not affect power transmission performance while reducing vibration, balancing reliability and practicality.

[0028] In step S3, the selection of couplings also includes analyzing the axial, radial, and angular compensation capabilities of various couplings to select a coupling type whose compensation capabilities meet the relative motion requirements of the gearbox and motor. Relative motion requirements include accommodating axial, radial, and angular displacements caused by vibration between the motor and gearbox. By analyzing the axial, radial, and angular compensation capabilities of the couplings, it is ensured that the selected coupling can adapt to the actual relative motion between the motor and gearbox, avoiding the coupling bearing additional loads due to its inability to compensate for displacement. Furthermore, clarifying that relative motion requirements include axial, radial, and angular displacements avoids premature coupling failure caused by focusing only on axial compensation while neglecting angular displacement, ensuring long-term stable operation of the coupling.

[0029] In step S4, the experimental platform is connected to a data acquisition module and a loading module. The data acquisition module is used to collect vibration, torque, and temperature data of the gearbox, coupling, and motor during the experiment. The loading module is used to simulate different load conditions of the CFI gearbox in actual operation, including rated load, overload load, and variable load. The data acquisition module can comprehensively collect key parameters such as vibration, torque, and temperature during the experiment, ensuring that the experimental data covers all fault-related characteristics and avoiding inaccurate verification results due to missing data. The loading module can simulate actual operating conditions such as rated, overload, and variable load. The combination of the two allows the experimental platform to comprehensively verify the effectiveness and reliability of the optimization scheme under different operating conditions, preventing the scheme from failing due to changes in operating conditions in actual applications.

[0030] The vertical reducer shaft connection optimization method also includes step S5. Based on the experimental verification results of step S4, after confirming that the new connection design meets the practical application requirements, the improved connection scheme between the gearbox and the motor is installed and debugged on the vertical reducer, and the operating data after application is monitored. Through installation, debugging, and operating data monitoring, the optimized scheme is transformed from laboratory verification to practical application: installation and debugging can solve the adaptation problem of the solution in actual assembly. Operating data monitoring can verify the long-term reliability of the scheme and avoid potential problems that cannot be found in short-term laboratory experiments. At the same time, the operating data can serve as the basis for subsequent iterative optimization, forming a continuous improvement cycle.

[0031] In a specific embodiment, in step S1, the vertical gearboxes in scenarios such as nuclear power plants are inspected. For CFI system gearboxes, vibration sensors, torque sensors, temperature sensors, and load sensors are used to collect data on the vibration amplitude and frequency, worm shaft torque, component temperature, and load on faulty components such as bearings and worm gears. For common faults in multiple CFI gearboxes, such as bearing damage, worm gear breakage, and worm wheel wear, system fault statistics are performed. The frequency of occurrence and fault interval for each fault type in different gearboxes are calculated, and the incidence rate of each fault type is determined. Based on the fault statistics, various operating conditions of the gearboxes are summarized, including normal operation, frequent start-stop, high-speed, and heavy-load conditions. The correlation between different operating conditions and fault types is clarified, and a theoretical analysis report containing fault characteristics and operating condition correlations is finally generated.

[0032] In step S2, based on the Lagrange equations, system models are established for two different connection methods between the gearbox and the motor. Before improvement: the gearbox and motor are connected using a rigid flange and a perforated coupling; after improvement: the gearbox and motor are connected using a connection structure to be optimized. The model includes all key components, including the gearbox, drum grille, drive gear, drive shaft, and motor. Simultaneously, a static model and a multibody dynamics model of the system are established. Numerical simulation calculations can be performed using multibody dynamics simulation software such as ADAMS to simulate and analyze the mechanical properties of the entire mechanical model, and to analyze the stress distribution, strain, and load transfer efficiency of the system under different operating conditions.

[0033] Simulations were used to obtain the multidimensional (axial, radial, and angular) vibration amplitude and direction of the gearbox under normal and abnormal operating conditions, and time-domain and frequency-domain analyses were performed. Time-domain analysis was conducted to determine the peak vibration time and duration of the multidimensional vibration amplitude and direction. Frequency-domain analysis was performed to determine the dominant vibration frequency and the proportion of each frequency component. Combining the time-domain and frequency-domain analysis results, the transmission path of vibration response from the motor to the internal components of the gearbox was clarified, and the influence of different operating conditions on the vibration transmission law was analyzed. Ultimately, the root mechanism of the fault was determined, such as vibration concentration transmission to the bearing leading to wear, and worm gear stress exceeding the limit leading to fracture.

[0034] In step S3, based on the fault generation mechanism determined in step S2, the connection structure between the gearbox and the motor is optimized. Coupling selection is performed: the axial, radial, and angular compensation capabilities of various couplings, such as diaphragm couplings, flexible pin couplings, and universal couplings, are analyzed. A coupling type with compensation capabilities that meet the relative motion requirements of the gearbox and motor is selected, adaptable to the axial, radial, and angular displacements caused by vibration between the motor and the gearbox. Finally, an optimized coupling design scheme is formed.

[0035] In step S4, based on the theoretical analysis report of step S1 and the optimized design scheme of step S3, a connection experimental platform capable of simulating actual working conditions is constructed. The experimental platform includes a data acquisition module and a loading module. The data acquisition module collects vibration, torque, and temperature data of the gearbox, coupling, and motor during the experiment. The loading module uses hydraulic loading or motor loading to simulate different load conditions of the CFI gearbox during actual operation, including rated load, overload load, and variable load. Multi-condition experimental tests are conducted through the experimental platform, such as normal operation, frequent start-stop operation, high-speed operation, and heavy-load operation. Experimental data is collected and compared with simulation data to verify the effectiveness and reliability of the optimized design scheme.

[0036] In step S5, based on the experimental verification results of step S4, after confirming that the new connection design meets the practical application requirements, the improved connection scheme between the gearbox and the motor is installed and debugged on the vertical gearbox. After installation and debugging, the operating data after application is continuously monitored to verify the long-term reliability of the scheme.

[0037] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for optimizing the shaft connection of a vertical reducer, characterized in that, Including the following steps: S1. Collect vibration amplitude and frequency data of faulty parts of the vertical reducer and worm shaft torque data. Based on the fault problems of the vertical reducer, conduct fault statistics and derive a theoretical analysis report based on the fault statistics results. S2. Based on the Lagrange equation, for the two states before and after the improvement of the connection method between the gearbox and the motor, respectively, a static and multibody dynamic model of the system including the gearbox, drum mesh, drive gear, drive shaft and motor is established, numerical simulation calculation is performed, and the mechanical properties of the entire mechanical model are simulated and analyzed. The multidimensional vibration amplitude and direction of the gearbox under normal and abnormal operating conditions are obtained through simulation analysis. Time domain and frequency domain analysis are performed to obtain the transmission path, influence law and fault generation mechanism of vibration response. S3. Based on the fault generation mechanism obtained in step S2, select and design the coupling structure to obtain an optimized design scheme; S4. Based on the theoretical analysis report obtained in step S1 and the optimized design scheme obtained in step S3, build a connection test platform that can simulate actual working conditions, so as to verify the effectiveness and reliability of the optimized design scheme through experiments.

2. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, The faults of the vertical reducer mentioned in step S1 include bearing damage, worm gear breakage, and worm wheel wear.

3. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, The data related to the faulty component collected in step S1 also includes the temperature data and the load data borne by the faulty component. The faulty components include the bearing and the worm gear.

4. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, In step S1, the fault statistics of the system are as follows: fault data of the gearbox is collected, the occurrence frequency and fault interval time of each fault type of different gearboxes are counted, and the occurrence rate of each fault type is calculated.

5. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, In step S2, the two states are: the state before the improvement where the gearbox and motor are connected by a rigid flange and a plum blossom coupling, and the state after the improvement where the gearbox and motor are connected by an optimized connection structure.

6. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, In step S2, the time-domain and frequency-domain analysis includes: performing time-domain analysis on the changes in multidimensional vibration amplitude and direction over time to determine the peak occurrence time and duration of the vibration; Frequency domain analysis was performed on the frequency distribution characteristics of multidimensional vibrations to determine the dominant vibration frequency and the proportion of each frequency component. By combining time-domain and frequency-domain analysis, the transmission path of vibration response from the motor to the internal components of the gearbox is determined, as well as the influence of different operating conditions on the vibration transmission law.

7. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, In step S2, the simulation analysis of the mechanical properties of the entire mechanical model is to analyze the stress distribution, strain, and load transfer efficiency of the system under different working conditions. The stress distribution analysis determines the maximum stress value and its location based on the stress concentration areas of the worm shaft and bearings in the gearbox. The load transfer efficiency analysis is used to evaluate the transmission losses of vibration and torque between the motor, coupling, and gearbox.

8. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, In step S3, when selecting a coupling, the axial compensation capability, radial compensation capability, and angular compensation capability of various couplings are analyzed, and a coupling type whose compensation capability meets the relative motion requirements of the gearbox and the motor is selected. The relative motion requirements include accommodating axial, radial, and angular displacements caused by vibration between the motor and the gearbox.

9. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, In step S4, the connection experimental platform includes a data acquisition module and a loading module; The data acquisition module is used to collect vibration, torque, and temperature data of the gearbox, coupling, and motor during the experiment. The loading module is used to simulate different load conditions of the CFI gearbox in actual operation, including rated load, overload load, and variable load.

10. The method for optimizing the shaft connection of a vertical reducer according to claim 1, characterized in that, It also includes step S5, based on the experimental verification results of step S4, confirming that the new connection design meets the actual application requirements, and then installing and debugging the improved connection scheme between the gearbox and the motor on the vertical gearbox, and monitoring the operating data after application.

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