A performance measurement method for unequal tooth pitch of metal worm and plastic helical gear

Abstract

The present invention discloses a performance measurement method for unequal tooth pitches of a metal worm and a plastic helical gear, comprising the following steps: mounting the metal worm and the plastic helical gear on a vibration table, simulating a high-frequency vibration environment to measure tooth pitch changes, and analyzing tooth pitch consistency and pressure distribution; setting a standard vibration frequency of the vibration table, loading a driving mechanism and loads of different numbers, measuring transmission error data under different loads, and evaluating noise performance, as well as deformation distribution and transmission characteristics under dynamic working conditions; evaluating the high-temperature resistance of the gear in a high-temperature test chamber; pre-processing the obtained tooth pitch data, pressure distribution, deformation data, and deformation data, extracting key characteristic parameters and inputting them into an established performance analysis model to evaluate the service life of the gear. Each test provides specific performance indications, thereby achieving a comprehensive performance evaluation of unequal tooth pitch gears, improving the comprehensiveness of the test, and ensuring stability and reliability in practical applications.

Description

Technical Field

[0001] The present invention relates to the technical field of gear measurement, and in particular to a performance measurement method for unequal tooth pitches of a metal worm and a plastic helical gear. Background Art

[0002] Traditional gears with equal pitch designs are prone to wear, deformation, and noise in certain applications, particularly under high loads, high vibration, and high temperatures. Unequal pitch designs, by varying the pitch, evenly distribute the load between teeth, significantly improving the gear's wear resistance and transmission efficiency. The unequal pitch design of a metal worm and plastic helical gear combines the strength of metal with the flexibility of plastic, enabling applications requiring high vibration and noise reduction, as well as efficient transmission. This technological advancement provides reliable assurance for the stable operation of many mechanical transmission devices in harsh environments.

[0003] The existing measurement technology for gear performance mainly focuses on the measurement of basic parameters of equal-pitch gears, including pitch, circular runout, backlash, etc. Traditional measurement methods rely on mechanical contact measurement and simple non-contact optical measurement, and focus more on basic parameters under static working conditions. However, these methods have significant limitations when faced with unequal-pitch designs of metal worms and plastic helical gears. First, ordinary contact measurement methods are difficult to obtain accurate data under vibration and high-temperature environments, resulting in large measurement errors. Secondly, traditional measurement methods lack the ability to measure dynamic loads and multiple parameters simultaneously, and cannot accurately reflect transmission errors and gear deformation characteristics. Furthermore, existing measurement methods cannot provide comprehensive gear performance evaluation indicators under multiple working conditions, resulting in insufficient prediction of gear service life.

[0004] In view of this, it is necessary to improve the measurement technology of related gear performance in the existing technology to solve the technical problems of incomplete measurement of unequal pitch performance and poor measurement accuracy. Summary of the Invention

[0005] The purpose of the present invention is to provide a performance measurement method for unequal tooth pitch of a metal worm and a plastic helical gear to solve the above technical problems.

[0006] To achieve this object, the present invention adopts the following technical solutions:

[0007] A method for measuring the performance of unequal tooth pitches of a metal worm and a plastic helical gear, comprising:

[0008] The metal worm and plastic helical gear were mounted on a vibration table to simulate a high-frequency vibration environment. A laser interferometer was used to measure the pitch change and record the pitch data at different vibration frequencies and amplitudes. A pressure sensor was used to measure the contact pressure and analyze the pitch consistency and pressure distribution.

[0009] Set the standard vibration frequency of the vibration table, load the drive mechanism and different groups of loads, use encoders and angle sensors to measure the transmission error data under different loads, and use a noise meter to record the noise level of each group of loads to evaluate the noise performance;

[0010] Use dynamic laser scanning technology to monitor gear deformation data under different loads and analyze the deformation distribution and transmission characteristics of unequal pitch designs under dynamic working conditions;

[0011] The metal worm and plastic helical gear were placed in a high-temperature test chamber to simulate high-temperature working conditions. High-temperature pressure sensors and strain gauges were used to measure contact pressure and tooth root bending pressure. The pressure changes at different temperatures were recorded to evaluate the high-temperature resistance of the gears.

[0012] The obtained pitch data, pressure distribution, deformation data and deformation data are preprocessed, and key characteristic parameters are extracted and input into the established performance analysis model to evaluate the service life of the gear.

[0013] Optionally, the metal worm and the plastic helical gear are mounted on a vibration table to simulate a high-frequency vibration environment, a laser interferometer is used to measure the pitch change, and pitch data at different vibration frequencies and amplitudes are recorded. A pressure sensor is used to measure the contact pressure and analyze the pitch consistency and pressure distribution, specifically including:

[0014] The metal worm and the plastic helical gear are mounted on a vibration table, and the high-frequency vibration parameters of the vibration table are set by a control system to simulate a high-frequency vibration environment; the high-frequency vibration parameters include vibration frequency and amplitude;

[0015] Use a laser interferometer to measure the tooth pitch of the gear meshing part, obtain the tooth pitch data under different high-frequency vibration parameters, record the tooth pitch changes of each tooth position, and use the data acquisition system to plot the recorded tooth pitch changes into a high-frequency vibration parameter-tooth pitch change curve;

[0016] Use a pressure sensor to measure the contact pressure data between the metal worm and the plastic helical gear in a high-frequency vibration environment, and record the peak and fluctuation of the pressure.

[0017] Optionally, the method further includes measuring contact pressure data between the metal worm and the plastic helical gear in a high-frequency vibration environment using a pressure sensor and recording peak and fluctuation conditions of the pressure.

[0018] The acquired pitch data and contact pressure data are preliminarily processed to remove noise and outliers;

[0019] By comparing the pitch changes of different tooth positions, the stability of the unequal pitch design is evaluated, the mean and standard deviation of the pitch changes are calculated, and the pitch consistency is evaluated based on the standard deviation;

[0020] Through time domain and frequency domain analysis of pressure data, the pressure concentration area and pressure distribution law are determined, and the dynamic response characteristics of the gear in a high-frequency vibration environment are evaluated to analyze and obtain the pressure distribution.

[0021] Optionally, the vibration table is set at a standard vibration frequency, loaded with a drive mechanism and different groups of loads, and the transmission error data under different loads is measured using an encoder and an angle sensor. The noise level of each group of loads is recorded using a noise meter to evaluate the noise performance, specifically including:

[0022] Setting a standard vibration frequency of the vibration table, preparing a driving mechanism and different sets of loads, each set of loads being detachably connected to the driving end of the driving mechanism;

[0023] Using an encoder to record first angle data of the driving mechanism, using an angle sensor to measure second angle data under the current load condition, and calculating transmission error data based on the difference between the first angle data and the second angle data;

[0024] Monitor transmission error data in real time and record transmission error curves under different load conditions through the data acquisition system.

[0025] Optionally, the real-time monitoring of transmission error data and recording of transmission error curves under different load conditions by a data acquisition system further include:

[0026] By comparing the transmission error curves under different load conditions, the impact of unequal pitch design on transmission smoothness is evaluated, and the mean and standard deviation of the transmission error are calculated;

[0027] Using a noise meter to measure the operating noise of the transmission system under each set of load conditions, and recording the noise data; the noise data includes the noise spectrum and sound pressure level;

[0028] By analyzing the noise data in the time and frequency domains, the main frequency components and sound pressure levels of the noise are determined, and the impact of the unequal tooth pitch design on the noise characteristics is evaluated to assess the noise performance.

[0029] Optionally, dynamic laser scanning technology can be used to monitor gear deformation data under different loads and analyze the deformation distribution and transmission characteristics of unequal pitch designs under dynamic working conditions, including:

[0030] During the transmission error measurement process, the dynamic laser scanning equipment is started to monitor the deformation of the gear under different load conditions in real time, and the deformation data of the tooth top, tooth middle and tooth root are recorded;

[0031] The deformation data curves under different load conditions are recorded by the data acquisition system, and the acquired deformation data are preliminarily processed to remove noise and outliers;

[0032] Analyze the deformation distribution of the tooth top, tooth middle, and tooth root, and evaluate the deformation characteristics of the unequal pitch design under dynamic working conditions by comparing the deformation data curves under different load conditions;

[0033] Combined with the corresponding transmission error data, the transmission characteristics of the unequal pitch design are comprehensively analyzed.

[0034] Optionally, the metal worm and the plastic helical gear are placed in a high-temperature test chamber to simulate high-temperature working conditions, and the contact pressure and tooth root bending pressure are measured using a high-temperature pressure sensor and a strain gauge. The pressure changes at different temperatures are recorded to evaluate the high-temperature resistance of the gear, specifically including:

[0035] Select a high-temperature test chamber, install the drive mechanism, metal worm, and plastic helical gear in the chamber, and load the gears with the rated load;

[0036] Set the temperature range and heating rate of the high temperature test chamber, gradually increase the temperature, and simulate the high temperature working conditions of the gear operation;

[0037] Use high-temperature pressure sensors to measure the contact pressure between gears in real time under different temperature conditions and record gear contact pressure data;

[0038] Use high-temperature strain gauges to measure the bending pressure of the tooth root under different temperature conditions and record the tooth root bending pressure data;

[0039] The changes in gear contact pressure data and tooth root bending pressure data under different temperature conditions are analyzed. By comparing the pressure data, the compressive performance and bending strength of the unequal pitch design under high temperature conditions are evaluated, and its high temperature resistance is evaluated.

[0040] Optionally, the obtained pitch data, pressure distribution, deformation data and deformation data are pre-processed to extract key characteristic parameters and input them into the established performance analysis model to evaluate the service life of the gear, specifically including:

[0041] Preprocessing the acquired pitch data, pressure distribution data, deformation data, and noise data to form a data packet; the preprocessing includes data cleaning, outlier removal, and noise reduction;

[0042] Extracting key characteristic parameters from the preprocessed data packet, wherein the key characteristic parameters include pitch change rate, contact pressure peak, tooth root bending pressure, deformation amplitude and noise level, to form a characteristic data set;

[0043] The relationship model among pitch, pressure, deformation and noise is established using correlation analysis method.

[0044] Optionally, a correlation analysis method is used to establish a relationship model between pitch, pressure, deformation and noise, followed by:

[0045] Combined with the established relationship model, a multivariate statistical analysis method is used to preliminarily establish a performance prediction model for the transmission system and analyze the contribution of each characteristic parameter to the performance prediction model.

[0046] Introducing machine learning algorithms, adjusting model parameters through cross-validation and error analysis to optimize the performance prediction model;

[0047] Key characteristic parameters are extracted and input into the optimized performance prediction model to evaluate the service life of the gear.

[0048] Compared with the existing technology, the present invention has the following beneficial effects: through multiple tests under high-frequency vibration, different loads and high-temperature environments, a comprehensive performance evaluation of unequal-pitch gears is achieved. Each test provides specific performance indicators. At the same time, through comprehensive analysis of various test data, a highly realistic and comprehensive performance analysis model is established, which can accurately predict the service life of the gears, improve the comprehensiveness of the test, and ensure stability and reliability in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] The structures, proportions, sizes, etc. depicted in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not intended to limit the conditions under which the present invention can be implemented and therefore have no substantive technical significance. Any structural modifications, changes in proportional relationships, or adjustments in size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and objectives that can be achieved by the present invention.

[0051] Figure 1 This is a flow chart of a method for measuring the performance of unequal tooth pitches of a metal worm and a plastic helical gear according to this embodiment;

[0052] Figure 2 This is a second flow chart of the method for measuring the performance of unequal tooth pitches of a metal worm and a plastic helical gear according to this embodiment;

[0053] Figure 3 This is the third flow chart of the method for measuring the unequal pitch performance of a metal worm and a plastic helical gear according to this embodiment. DETAILED DESCRIPTION

[0054] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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 making creative work are within the scope of protection of the present invention.

[0055] In the description of the present invention, it should be understood that the terms "upper," "lower," "top," "bottom," "inner," "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate the description of the present invention and simplify the description. They are not intended to indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on the present invention. It should be noted that when a component is considered to be "connected" to another component, it may be directly connected to the other component or there may be a centrally located component.

[0056] The technical solution of the present invention will be further described below with reference to the accompanying drawings and through specific implementation methods.

[0057] Combine Figures 1 to 3 As shown, an embodiment of the present invention provides a method for measuring the performance of unequal tooth pitches of a metal worm and a plastic helical gear, comprising:

[0058] S1: Mount the metal worm and plastic helical gear on a vibration table to simulate a high-frequency vibration environment. Use a laser interferometer to measure the pitch change and record the pitch data at different vibration frequencies and amplitudes. Use a pressure sensor to measure the contact pressure and analyze the pitch consistency and pressure distribution.

[0059] A metal worm and a plastic helical gear were mounted on a vibration table to simulate a high-frequency vibration environment. A laser interferometer was used to measure pitch variation and record pitch data at different vibration frequencies and amplitudes. Simultaneously, a pressure sensor was used to measure contact pressure and analyze pitch consistency and pressure distribution. This step aims to evaluate the pitch variation and pressure distribution of the gears under high-frequency vibration conditions to ensure their stability and reliability under actual operating conditions. By collecting and analyzing data under different vibration conditions, potential issues with unequal pitch designs can be identified and provide foundational data support for subsequent steps.

[0060] S2: Set the standard vibration frequency of the vibration table, load the drive mechanism and different groups of loads, use encoders and angle sensors to measure the transmission error data under different loads, and use a noise meter to record the noise level of each group of loads to evaluate the noise performance;

[0061] The vibration table is set to a standard vibration frequency, loaded with the drive mechanism and various load groups. Transmission error data is measured under various load conditions using an encoder and angle sensor, while the noise level for each load group is recorded using a noise meter. By evaluating transmission error and noise performance, the impact of unequal tooth pitch design on the smoothness and noise characteristics of the transmission system can be analyzed. This step aims to verify the smoothness and noise resistance of the gear transmission under various load conditions to ensure that it performs as expected in real-world applications.

[0062] S3 uses dynamic laser scanning technology to monitor the deformation data of gears under different loads and analyzes the deformation distribution and transmission characteristics of unequal pitch designs under dynamic working conditions.

[0063] The goal of this step is to gain a detailed understanding of the gear's deformation behavior under different loads and dynamic conditions, providing data support for optimizing gear design. By accurately monitoring and analyzing deformation data, potential weaknesses in the gear under dynamic conditions can be identified and recommendations for improvement can be made.

[0064] S4, placing the metal worm and plastic helical gear in a high-temperature test chamber to simulate high-temperature working conditions, using high-temperature pressure sensors and strain gauges to measure contact pressure and tooth root bending pressure, recording pressure changes at different temperatures, and evaluating the gear's high-temperature resistance.

[0065] By evaluating the high temperature resistance of gears, the stability and reliability of gears in high temperature environments can be ensured. The purpose of this step is to verify the gears' ability to withstand extreme high temperature conditions and ensure their long life and high reliability in high temperature applications.

[0066] S5, pre-processing the obtained pitch data, pressure distribution, deformation data and deformation data, extracting key characteristic parameters and inputting them into the established performance analysis model to evaluate the service life of the gear.

[0067] Gear life is assessed through a comprehensive analysis of pitch data, pressure distribution, deformation data, and deformation data. The specific process involves feature parameter extraction, correlation analysis, multivariate statistical analysis, and machine learning modeling. Ultimately, a performance prediction model is established, which is then verified and optimized through experiments to evaluate and predict gear life. This step aims to establish a comprehensive performance model through comprehensive analysis of multiple performance data points, accurately predict gear life, and propose further optimization design recommendations to ensure gear stability and reliability in practical applications.

[0068] The present invention achieves a comprehensive performance evaluation of unequal-pitch gears through multiple tests under high-frequency vibration, different loads, and high-temperature environments. Each test provides specific performance indicators. At the same time, through comprehensive analysis of various test data, a highly realistic and comprehensive performance analysis model is established, which can accurately predict the service life of the gears, improve the comprehensiveness of the test, and ensure stability and reliability in practical applications.

[0069] In this embodiment, it is specifically explained that step S1 specifically includes:

[0070] S11, install the metal worm and the plastic helical gear on the vibration table, set the high-frequency vibration parameters of the vibration table through the control system to simulate a high-frequency vibration environment; the high-frequency vibration parameters include vibration frequency and amplitude; ensure the accuracy and tightness of the installation position to avoid loosening or displacement during the test.

[0071] S12, using a laser interferometer to measure the tooth pitch of the gear meshing part, obtain the tooth pitch data under different high-frequency vibration parameters, record the tooth pitch change of each tooth position, and plot the recorded tooth pitch change into a high-frequency vibration parameter-tooth pitch change curve through a data acquisition system;

[0072] The pitch change of each tooth position is recorded and plotted into a high-frequency vibration parameter-pitch change curve through the data acquisition system. The purpose of this step is to accurately capture the pitch change of the gear under high-frequency vibration conditions.

[0073] S13, using a pressure sensor to measure the contact pressure data between the metal worm and the plastic helical gear in a high-frequency vibration environment, recording the peak and fluctuation of the pressure;

[0074] The purpose of this step is to evaluate the stress conditions of the gear under high-frequency vibration conditions and provide basic data for analyzing the pressure distribution of unequal pitch designs.

[0075] S14, preliminarily processing the acquired pitch data and contact pressure data to remove noise and outliers, thereby ensuring the validity and accuracy of the data.

[0076] S15, evaluating the stability of the unequal pitch design by comparing the pitch changes of different tooth positions, calculating the mean and standard deviation of the pitch changes, and evaluating the pitch consistency based on the standard deviation;

[0077] The stability of the unequal-pitch design is assessed by comparing the pitch variation at different tooth positions. The mean and standard deviation of the pitch variation are calculated, and the pitch consistency is assessed based on the standard deviation. The purpose of this step is to statistically evaluate the stability and consistency of the unequal-pitch design under high-frequency vibration conditions to determine whether it meets the design requirements.

[0078] S16, through time domain and frequency domain analysis of pressure data, determine the pressure concentration area and pressure distribution law, evaluate the dynamic response characteristics of the gear in a high-frequency vibration environment, and analyze and obtain the pressure distribution.

[0079] By analyzing the pressure data in the time and frequency domains, we can identify areas of pressure concentration and pressure distribution patterns, evaluate the dynamic response characteristics of the gear under high-frequency vibration, and analyze the pressure distribution. The purpose of this step is to deeply analyze the contact pressure data and understand the dynamic stress distribution of the gear under high-frequency vibration conditions, providing a reference for optimized design.

[0080] In this embodiment, it is specifically described that step S2 specifically includes:

[0081] S21. Set the vibration table's standard vibration frequency, prepare the drive mechanism and different sets of loads, each of which is detachably connected to the drive end of the drive mechanism. Ensure that the vibration table can stably simulate vibration conditions under different operating conditions. Prepare different sets of loads and load them separately into the drive system to ensure load uniformity and stability.

[0082] S22, using an encoder to record the first angle data of the driving mechanism, using an angle sensor to measure the second angle data under the current load conditions, and calculating the transmission error data based on the difference between the first angle data and the second angle data; through precise angle measurement and error calculation, the transmission accuracy of the gear transmission system under different load conditions is evaluated.

[0083] S23 monitors transmission error data in real time and records transmission error curves under different load conditions through the data acquisition system; obtains the dynamic transmission error performance of the transmission system under different load conditions to ensure data continuity and accuracy.

[0084] S24, by comparing the transmission error curves under different load conditions, evaluate the impact of unequal pitch design on transmission smoothness and calculate the mean and standard deviation of the transmission error;

[0085] By comparing the transmission error curves under different load conditions, we can evaluate the impact of the unequal pitch design on transmission smoothness. We also calculate the mean and standard deviation of the transmission error to quantify the smoothness of the transmission system. The goal of this step is to statistically evaluate the smoothness of the unequal pitch design under different load conditions and determine whether it meets the design requirements.

[0086] S25. Measure the operating noise of the transmission system under each set of load conditions using a noise meter and record the noise data, including the noise spectrum and sound pressure level. Evaluate the noise characteristics of the transmission system under different load conditions to ensure that it has good noise resistance in actual operation.

[0087] S26, through time domain and frequency domain analysis of noise data, determine the main frequency components and sound pressure levels of the noise, evaluate the impact of unequal tooth pitch design on noise characteristics, and evaluate noise performance.

[0088] By analyzing noise data in the time and frequency domains, we determine the primary frequency components and sound pressure levels, assess the impact of unequal pitch on noise characteristics, and ultimately evaluate noise performance. This step aims to provide a thorough analysis of noise data, understand the noise behavior of gears under varying load conditions, and provide a basis for design optimization.

[0089] In this embodiment, it is specifically explained that step S3 specifically includes:

[0090] S31, during the transmission error measurement process, starts the dynamic laser scanning equipment to monitor the deformation of the gear under different load conditions in real time, and records the deformation data of the tooth top, tooth middle and tooth root; through high-precision dynamic laser scanning technology, the deformation behavior of the gear under actual working conditions is captured to ensure the real-time and accuracy of the data, which is directly related to the gear's load-bearing capacity and fatigue life.

[0091] S32, recording deformation data curves under different load conditions through a data acquisition system, and performing preliminary processing on the acquired deformation data to remove noise and outliers;

[0092] After obtaining deformation data, preliminary processing is necessary, including removing noise and outliers generated during testing. This preprocessing improves the accuracy of data analysis and ensures the quality of the data used in subsequent analysis phases. The recorded deformation data curves can provide feedback for gear design, indicating possible weaknesses and areas for improvement.

[0093] S33, analyzes the deformation distribution of the tooth top, tooth middle, and tooth root. By comparing the deformation data curves under different load conditions, the deformation characteristics of the unequal pitch design under dynamic working conditions are evaluated.

[0094] Analyzing the distribution of deformation experienced by different gear components (tooth tips, tooth midpoints, and tooth roots) is a key step in evaluating gear design quality. By comparing deformation data curves under different load conditions, we can assess the performance of unequal-pitch designs under dynamic conditions, such as stability and reliability under varying loads. This analysis helps reveal design strengths and weaknesses and confirms whether the design meets its intended operating environment and load conditions.

[0095] S34, combined with the corresponding transmission error data, comprehensively analyze the transmission characteristics of the unequal pitch design.

[0096] Combined with the corresponding transmission error data, the transmission characteristics of the unequal pitch design are comprehensively analyzed. By analyzing the relationship between deformation and transmission error, potential design issues can be identified, allowing for improved overall system performance through design optimization. This analysis is a key step in linking experimental data with gear performance predictions.

[0097] In this embodiment, it is specifically explained that step S4 specifically includes:

[0098] For S41, select a high-temperature test chamber, install the drive mechanism, metal worm, and plastic helical gear in the chamber, and load the gears with the rated load. Ensure that the test environment simulates actual high-temperature operating conditions and that the gears operate under the rated load to provide accurate test data.

[0099] The high-temperature test chamber selected is a key piece of equipment for the experiment. Its function is to provide a controlled high-temperature environment to simulate the extreme operating conditions of the metal worm and plastic helical gear in actual operation. During the experimental operation, it is necessary to ensure that the drive mechanism and gear combination are properly installed and that the rated loads carried by the gears simulate the loads in actual application. This step ensures that the performance of the materials and structures under the expected operating conditions can be accurately evaluated in subsequent testing, ensuring the reliability of the measured data.

[0100] S42, sets the temperature range and heating rate of the high temperature test chamber, gradually increases the temperature, and simulates the high temperature working condition of the gear operation.

[0101] The temperature range and heating rate of a high-temperature test chamber are crucial, as they directly affect the thermal response and mechanical properties of gear materials. Simulating a gradually increasing temperature allows for more detailed observation and recording of material property changes with temperature, thereby capturing critical points or specific behaviors. Furthermore, temperature control accuracy directly impacts the accuracy of subsequent analytical data and the repeatability of experimental results.

[0102] S43, using a high-temperature pressure sensor to measure the contact pressure between gears in real time under different temperature conditions, and recording the gear contact pressure data;

[0103] The operation of measuring contact pressure using a high-temperature pressure sensor at different temperatures. High-temperature environments place higher demands on sensor materials and performance. Selecting the right high-temperature pressure sensor is crucial to ensure instrument stability and measurement accuracy under extreme conditions. Contact pressure data is crucial for analyzing gear load distribution, wear condition, and failure potential.

[0104] S44, using high temperature strain gauges to measure the bending pressure of tooth roots under different temperature conditions and record the tooth root bending pressure data;

[0105] High-temperature strain gauges are used to measure the bending stress at the tooth root, where gears are most susceptible to fatigue and failure. Strain gauges must be able to operate stably at high temperatures to ensure reliable measurement data. Bending stress data can not only be used to assess the bending strength of gears in high-temperature environments but also provide a reference for gear design optimization and material selection.

[0106] S45, analyze the changes in gear contact pressure data and tooth root bending pressure data under different temperature conditions. By comparing the pressure data, evaluate the compressive performance and bending strength of the unequal pitch design under high temperature conditions, and evaluate its high temperature resistance.

[0107] Analyzing the changes in contact pressure and tooth root bending pressure data is a comprehensive evaluation of the data from the previous steps. By comparing and analyzing the effects of temperature on gear contact pressure and tooth root bending pressure, the performance of the unequal pitch design under high temperature conditions can be evaluated, including the design's compressive performance and bending strength.

[0108] In this embodiment, it is specifically explained that step S5 specifically includes:

[0109] S51, pre-processing the obtained pitch data, pressure distribution data, deformation data and noise data to form a data packet; the pre-processing includes data cleaning, outlier removal and noise reduction;

[0110] The raw data obtained requires preprocessing to ensure the quality and accuracy of subsequent analysis. Data cleaning involves eliminating invalid data, missing values, and obvious errors during the testing process. Outlier removal eliminates non-representative data points caused by equipment failure, operator error, or extreme conditions, while noise reduction aims to improve data quality to prevent misinterpretation of subsequent analysis results.

[0111] S52, extracting key characteristic parameters from the preprocessed data packet, wherein the key characteristic parameters include pitch change rate, contact pressure peak, tooth root bending pressure, deformation amplitude, and noise level, to form a characteristic data set;

[0112] Key characteristic parameters are extracted from the preprocessed data to form a feature dataset. These characteristic parameters include, but are not limited to, pitch change rate, contact pressure peak, tooth root bending pressure, deformation amplitude, and noise level, which are important indicators for evaluating gear performance. By extracting these key characteristic parameters, the behavioral characteristics of the transmission system can be more systematically captured, leading to more effective evaluation and prediction of system performance.

[0113] S53, using the correlation analysis method to establish the relationship model between pitch, pressure, deformation and noise;

[0114] Using correlation analysis methods, we explore the interrelationships between pitch, pressure, deformation, and noise, thereby establishing mathematical models of their relationships. These models help us understand how these parameters interact to influence the overall performance of the gear system. These models provide a deeper understanding, enabling optimization of specific performance indicators.

[0115] S54, combining the established relationship model and using a multivariate statistical analysis method to preliminarily establish a performance prediction model for the transmission system, and analyzing the contribution of each characteristic parameter to the performance prediction model;

[0116] Based on the relational model, we attempt to construct a performance prediction model for the transmission system using multivariate statistical analysis. The goal of this step is to quantify the contribution of different characteristic parameters to the overall system performance (e.g., efficiency, stability, and lifespan). This analysis is essential for determining which parameters are critical for performance optimization.

[0117] S55, introduces machine learning algorithms, adjusts model parameters through cross-validation and error analysis to optimize the performance prediction model;

[0118] Machine learning algorithms are introduced, cross-validation is used to test the model's generalization capabilities, and error analysis is used to optimize model parameters. Machine learning algorithms can identify complex patterns in data, improving the accuracy and reliability of performance prediction models. Continuous adjustment and verification during this process are key steps to ensure that the prediction model reflects real-world conditions and makes accurate predictions.

[0119] S56, extracting key characteristic parameters and inputting them into the optimized performance prediction model to evaluate the service life of the gear.

[0120] The extracted key characteristic parameters are input into an optimized performance prediction model to assess the gear's service life. This model, powered by a robust data foundation and sophisticated algorithms, predicts potential gear failure modes and lifespan under various operating conditions, a crucial factor in guiding actual product design and operation. These predictions enable more precise maintenance planning, preventing failures before they occur, thereby improving production efficiency and reducing costs.

[0121] Finite element analysis (FEA) and computer simulation techniques were used to simulate and verify the optimized design, evaluating its stress distribution, deformation characteristics, and transmission efficiency under extreme operating conditions. Experiments confirmed the simulation results to ensure the reliability and feasibility of the optimized design. Based on the optimized model and simulation results, a comprehensive performance evaluation of the transmission system under different operating conditions was conducted to predict its service life and provide further improvement suggestions to ensure the system's stability and durability in actual applications.

[0122] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for measuring the performance of unequal pitch of metal worm and plastic helical gear, characterized in that: include: The metal worm and plastic helical gear were mounted on a vibration table to simulate a high-frequency vibration environment. A laser interferometer was used to measure the pitch change and record the pitch data at different vibration frequencies and amplitudes. A pressure sensor was used to measure the contact pressure and analyze the pitch consistency and pressure distribution. Set the standard vibration frequency of the vibration table, load the drive mechanism and different groups of loads, use encoders and angle sensors to measure the transmission error data under different loads, and use a noise meter to record the noise level of each group of loads to evaluate the noise performance; Dynamic laser scanning technology is used to monitor gear deformation data under different loads and analyze the deformation distribution and transmission characteristics of unequal pitch designs under dynamic working conditions. Specifically, the following are included: During the transmission error measurement process, the dynamic laser scanning equipment is started to monitor the deformation of the gear under different load conditions in real time, and the deformation data of the tooth top, tooth middle and tooth root are recorded; The deformation data curves under different load conditions are recorded by the data acquisition system, and the acquired deformation data are preliminarily processed to remove noise and outliers; Analyze the deformation distribution of the tooth top, tooth middle, and tooth root, and evaluate the deformation characteristics of the unequal pitch design under dynamic working conditions by comparing the deformation data curves under different load conditions; Combined with the corresponding transmission error data, the transmission characteristics of the unequal pitch design are comprehensively analyzed; The metal worm and plastic helical gear were placed in a high-temperature test chamber to simulate high-temperature working conditions. High-temperature pressure sensors and strain gauges were used to measure the contact pressure and tooth root bending pressure. The pressure changes at different temperatures were recorded to evaluate the high-temperature resistance of the gears. Specifically, the following were performed: Select a high-temperature test chamber, install the drive mechanism, metal worm, and plastic helical gear in the chamber, and load the gears with the rated load; Set the temperature range and heating rate of the high temperature test chamber, gradually increase the temperature, and simulate the high temperature working conditions of the gear operation; Use high-temperature pressure sensors to measure the contact pressure between gears in real time under different temperature conditions and record gear contact pressure data; Use high-temperature strain gauges to measure the bending pressure of the tooth root under different temperature conditions and record the tooth root bending pressure data; Analyze the changes in gear contact pressure data and tooth root bending pressure data under different temperature conditions. By comparing the pressure data, evaluate the compressive performance and bending strength of the unequal pitch design under high temperature conditions, and evaluate its high temperature resistance. The obtained pitch data, pressure distribution, deformation data and noise data are pre-processed to extract key characteristic parameters and input them into the established performance analysis model to evaluate the service life of the gear, including: Preprocessing the acquired pitch data, pressure distribution data, deformation data, and noise data to form a data packet; the preprocessing includes data cleaning, outlier removal, and noise reduction; Extracting key characteristic parameters from the preprocessed data packet, wherein the key characteristic parameters include pitch change rate, contact pressure peak, tooth root bending pressure, deformation amplitude and noise level, to form a characteristic data set; Use correlation analysis method to establish the relationship model between pitch, pressure, deformation and noise; Combined with the established relationship model, a multivariate statistical analysis method is used to preliminarily establish a performance prediction model for the transmission system and analyze the contribution of each characteristic parameter to the performance prediction model. Introducing machine learning algorithms, adjusting model parameters through cross-validation and error analysis to optimize the performance prediction model; Key characteristic parameters are extracted and input into the optimized performance prediction model to evaluate the service life of the gear.

2. The method for measuring the unequal pitch performance of a metal worm and a plastic helical gear according to claim 1, characterized in that: The metal worm and the plastic helical gear are mounted on a vibration table to simulate a high-frequency vibration environment. A laser interferometer is used to measure the pitch change, and the pitch data at different vibration frequencies and amplitudes are recorded. A pressure sensor is used to measure the contact pressure and analyze the pitch consistency and pressure distribution. Specifically, the following steps are performed: The metal worm and the plastic helical gear are mounted on a vibration table, and the high-frequency vibration parameters of the vibration table are set by a control system to simulate a high-frequency vibration environment; the high-frequency vibration parameters include vibration frequency and amplitude; Use a laser interferometer to measure the tooth pitch of the gear meshing part, obtain the tooth pitch data under different high-frequency vibration parameters, record the tooth pitch changes of each tooth position, and use the data acquisition system to plot the recorded tooth pitch changes into a high-frequency vibration parameter-tooth pitch change curve; Use a pressure sensor to measure the contact pressure data between the metal worm and the plastic helical gear in a high-frequency vibration environment, and record the peak and fluctuation of the pressure.

3. The method for measuring the unequal pitch performance of a metal worm and a plastic helical gear according to claim 2, characterized in that: The method uses a pressure sensor to measure the contact pressure data between the metal worm and the plastic helical gear in a high-frequency vibration environment, and records the peak and fluctuation of the pressure. The method also includes: The acquired pitch data and contact pressure data are preliminarily processed to remove noise and outliers; By comparing the pitch changes of different tooth positions, the stability of the unequal pitch design is evaluated, the mean and standard deviation of the pitch changes are calculated, and the pitch consistency is evaluated based on the standard deviation; Through time domain and frequency domain analysis of pressure data, the pressure concentration area and pressure distribution law are determined, and the dynamic response characteristics of the gear in a high-frequency vibration environment are evaluated to analyze and obtain the pressure distribution.

4. The method for measuring the unequal pitch performance of a metal worm and a plastic helical gear according to claim 1, characterized in that: The vibration table is set to a standard vibration frequency, loaded with a drive mechanism and different groups of loads, and the transmission error data under different loads is measured using an encoder and an angle sensor. The noise level of each group of loads is recorded using a noise meter to evaluate the noise performance, specifically including: Setting a standard vibration frequency of the vibration table, preparing a driving mechanism and different sets of loads, each set of loads being detachably connected to the driving end of the driving mechanism; Using an encoder to record first angle data of the driving mechanism, using an angle sensor to measure second angle data under the current load condition, and calculating transmission error data based on the difference between the first angle data and the second angle data; Monitor transmission error data in real time and record transmission error curves under different load conditions through the data acquisition system.

5. The method for measuring the unequal pitch performance of a metal worm and a plastic helical gear according to claim 4, characterized in that: The real-time monitoring of transmission error data and recording of transmission error curves under different load conditions by a data acquisition system further include: By comparing the transmission error curves under different load conditions, the impact of unequal pitch design on transmission smoothness is evaluated, and the mean and standard deviation of the transmission error are calculated; Using a noise meter to measure the operating noise of the transmission system under each set of load conditions, and recording the noise data; the noise data includes the noise spectrum and sound pressure level; By analyzing the noise data in the time and frequency domains, the main frequency components and sound pressure levels of the noise are determined, and the impact of the unequal tooth pitch design on the noise characteristics is evaluated to assess the noise performance.

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