After heat treatment, the bearing ring needs to be grinded, which is an important part of ensuring bearing accuracy. At the same time, the organization structure of the raw materials becomes denser and the flow linearity becomes better, which can improve the reliability and service life of the bearing. After grinding , The production process of bearing rings is basically completed. This article is reproduced from:

The heat treatment link is the high temperature treatment of the bearing ring after forging and turning, which directly affects the carburization in the bearing ring Uniformity can improve the wear resistance and hardness of the bearing, and is also an important link that affects the reliability and life of the bearing.

The specific production process of the bearing: raw materials-inner and outer ring processing, steel ball or roller processing, cage (stamping or solid) adding Work-bearing assembly-bearing finished products in the bearing production process, the most critical are the following links: For more information, please continue to pay attention to our website, we will serve you wholeheartedly Service! Welcome to pay attention to our website! Pay more attention to needle bearings!. In addition, the quality of the forging process will directly affect the Mechanical roller bearings utilization rate of raw materials, thereby affecting production costs.　　

After the raw material is forged, the bearing is formed Ferrule blank . Forging link Forging link is an important link to ensure the reliability and life of the bearing

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On this basis, the immersion method can be used to prevent rust, that is, the drawn cup needle roller bearing is directly immersed in the anti-rust grease, and the China Clutch Release Bearings surface is adhered with a layer of anti-rust grease. It is necessary to choose an appropriate method for cleaning according to the nature of the rust-proof object and the prevailing conditions.

Of course, it is also related to the surface finish of the drawn cup needle roller bearings. The method to avoid rust caused by hand sweat is that the production personnel should wear gloves, finger cots, or use special tools to pick up the bearing when installing the drawn cup needle roller bearing. The corrosion resistance. Generally, the oxygen concentration is poor and the battery is corroded. The sweat film will cause electrochemical effects on the bearing, corrode the bearing, and produce embroidery.

However, human sweat is inevitable. The corrosion of drawn cup needle roller bearings is due to its own materials, because it is made of bearing steel, so its chemical composition and structure may be oxidized by air to become embroidered. Do not use it at will Hand touch the bearing surface. In addition, the composition and pH value of the solution that touches the surface of the drawn cup needle roller bearing; the temperature and humidity of the environment where the bearing is stored; various environmental media that touch the surface of the bearing will also directly affect the drawn cup needle roller bearing. In order to prevent rusting of drawn cup needle roller bearings, the first thing to pay attention to is to clean the surface of the bearing.

Due to the influence of various connotations and external elements, drawn cup needle roller bearings may show corrosion, so before adopting anti-rust methods, it is necessary to fully understand the specific causes of the problem. The thickness of the oil film can be controlled to prevent The temperature or viscosity of the rust grease is reached. When sweat touches the bearing surface, it will form a layer of sweat film on the bearing surface. Then we can select useful solutions in a targeted manner.

In addition, human hand sweat can cause corrosion of the needle roller bearings in the stamped outer ring, because human sweat is a colorless, transparent or light yellow liquid with a salty taste and weak acidity. Generally, solvent cleaning is more common, chemical treatment cleaning method and mechanical cleaning method. The exterior of the drawn cup needle roller bearing can be dried with filtered dry compressed air after being cleaned and cleaned, perhaps with a drier at 120-170 degrees Celsius, or with clean gauze. In addition to containing sodium, potassium, calcium, and magnesium In addition to salt, it also contains a few organic acids such as urea, lactic acid, and citric acid

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According to the above analysis, under the minimum maximization criterion, Huber M estimation and median estimation are the two most robust and optimal measures; Huber M estimation can reflect the characteristics of statistics, and has continuous, non-decreasing, bounded, and With zero-centered and odd function characteristics, it is difficult to realize in actual data processing; median estimation can reflect the location characteristics, but not the overall data characteristics.

The method of determining the data range is based on the order statistics of the sample, the median is the data center, and the maximum and minimum values ​​are assumed to be discrete values. These data contain discrete data, so the order statistics can't identify discrete data and can't perform robust data processing. This method is to first replace the maximum and minimum values ​​with their adjacent data to obtain new data; then calculate the average of the new data.

The closer the average is to the median, the more robust the data. Based on the above-mentioned data robustness processing ideas, the order statistics of L estimation are used to sort the data. If the average of the new data is closer to the median than the average of the original data, it means that the new data is more robust than the original data. Among them, the simple replacement type is a simple and effective discrete value processing method. This shows that the data is the most robust data.

The closer the average is to the median, the more robust the data; otherwise, the less robust the data. In the process of data robustness processing, there are three types of discrete value processing methods, namely replacement, addition, and simple replacement. Using the principle of Huber m estimation, when the data exceeds a certain range, it is considered as a discrete value, and these data are replaced by the critical value of the data range. However, discrete data has a great influence on the average value of the data, making the average value unstable.

Therefore, combining the two estimation characteristics, combined with the L estimation idea, this chapter proposes a new robust processing method to achieve better performance of the robust processing of experimental data. First, the minimum and maximum values ​​are successively replaced with adjacent data to obtain improved data;. Due to the influence of discrete data, the average value of the data is not robust. Therefore, the closeness of the average to the median can reflect the robustness of the data.

In order to prevent reducing the sample size, the method of processing discrete data adopts the Huber m method. Use this method in turn Mechanical ball bearings manufacturers to get the new data until the average of the new data is closest to the median. The robustness of the median can be used as a criterion for the robustness of the average. Generally speaking, in the process of data robustness processing, there is a significant level requirement. According to the robust statistical theory of modern statistics, the median of the data is robust

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Steel spring drawn cup needle roller clutches. Through what we have introduced to you above, I believe you must now know the structure of one-way needle roller bearings.Understand the structure of one-way needle roller bearings 　　

One-way needle roller bearing is a kind of bearing that can rotate freely in one direction and lock in the other direction. Plastic spring drawn cup needle roller clutch and bearing assembly, sliding bearing or one-way needle roller bearing steel spring drawn cup needle roller clutch and bearing assembly, outer ring part knurled plastic spring drawn cup needle roller clutch and bearing assembly, outside The ring part is knurled.

Plastic spring drawn cup needle roller clutches and bearing components. Plastic spring drawn cup needle roller clutches and bearings. Components, outer ring part, Clutch Release Bearings manufacturers knurled steel spring, stamped outer ring needle roller clutch and bearing assembly, sliding bearing or rolling bearing.

In today's article, I want to take you to understand the structure of one-way needle roller bearings. Steel spring drawn cup needle roller clutches.

The metal shell of a one-way bearing contains a lot of rollers, needles or balls, and the shape of its rolling seat (cavity) makes it only roll in one direction, and it will produce a lot of resistance in the other direction. The structure of one-way needle roller bearing: Structural features of one-way needle roller bearings

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Need to be cautious when selecting needle roller bearings.. Needle roller bearings are one of the most important parts of today's industrial production. 　　

As long as the above factors are fully considered, the appropriate needle roller bearings can be selected through comparison and discussion. Therefore, it is necessary to fully understand the structure and characteristics of the selected needle roller bearing and use the equipment correctly.

The size, direction and nature of the load of the needle roller bearing; The rotation speed and the inner ring is still rotating with the outer ring; The required life of the needle roller bearing;  The ambient temperature of the needle roller bearing; 

Bearing accuracy; the size of the conflict;  noise requirements; vertical and horizontal shafts;  smooth method Mechanical roller bearings and sealing equipment;  equipment and disassembly method; equipment space; 

Machining accuracy, rigidity and raw materials of shaft and bearing seat;  The cost of advertising gusset machine. How to choose the most suitable needle roller bearings is crucial. When selecting needle roller bearings, it is necessary to fully consider the following elements

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Therefore, the robust data processing method is very important.. Vibration is an important performance index of rolling bearings, which comprehensively reflects the manufacturing, installation, lubrication and other factors of the bearing, and affects the dynamic characteristics, life and reliability of the bearing. According to the data robustness principle of modern statistics, the robustness of data is one of the most basic conditions for data analysis-the more robust the data, the more reliable the evaluation results obtained. Reasonable evaluation of the vibration performance variation of rolling bearing bearings has very important application value.

Assessment. It can discover the hidden danger of bearing failure in time and take measures in advance to avoid major safety accidents. These properties have an important impact on the operating performance of the mechanical system. The performance variation of rolling bearings is characterized by the variation rate, which is the ratio of the number of variation data to the total number of data. This chapter organically integrates these two optimal estimates and complements each other's advantages. It is difficult for actual engineering technical problems Mechanical roller bearings to meet this condition and lacks practicality. For this reason, based on the principle of data robustness in modern statistics, this chapter proposes a method for evaluating the variation of the vibration performance of rolling bearings to detect the performance degradation of rolling bearings during service.

The evaluation method of rolling bearing performance variation proposed in this chapter does not need to assume the performance degradation model, distribution law, probability density function and threshold value in advance. In this chapter, the variation of rolling bearing performance refers to the degree of change and degradation of rolling bearing performance during the experiment and service period; the median refers to the absolute value of the rolling bearing vibration data, and then sort it in ascending order to obtain the absolute value sorting sequence , And then according to the median of the absolute value sorting sequence obtained by statistics; the average refers to the average of the improved data sequence obtained according to the Huber M estimation principle; the closeness of the average to the median is the average of the improved data sequence Characterization of the absolute difference from the median of the absolute value sorted sequence.

After robust processing of the actual measured bearing vibration data, the overall intrinsic interval is directly obtained, and then the performance degradation is implemented. Analysis method of rolling bearing vibration characteristic parameters based on phase space. The variation data refers to the data that is not in the overall intrinsic interval; the overall intrinsic interval is the intrinsic reflection of the data and is robust The data distribution interval after processing. In the process of data robustness, the median is the most robust estimate, and the average is not a robust estimate, because the average is easily affected by outliers.

It proposes a robust data processing method that can reflect the location characteristics of the data as well as the overall data situation, and use the liver to evaluate the variability of rolling bearing vibration data. Huber M estimation and median estimation are the two optimal estimations under the principle of minimizing and maximizing data robustly in modern statistics. The evaluation method of the vibration performance variation of rolling bearings proposed in this chapter includes the variation rate and the overall intrinsic interval. The closer the average is to the median, the more robust the data.

In this chapter, the closeness between the average value and the median is used as a judgment element to detect the performance degradation of rolling bearings during service, which is a robust estimation. These methods need to assume in advance specific performance degradation models, distribution laws, probability density functions and thresholds, and do not involve the robustness of rolling bearing vibration data. The median estimate is only a robust data that can reflect the location characteristics of the data, but it cannot reflect the overall data trend.he performance of rolling bearings mainly includes vibration, noise, friction torque, temperature rise, rotation accuracy, etc.

Huber M estimation can reflect the overall data situation, has a critical value, and is centered on the data zero. At present, the methods to study the vibration performance of rolling bearings mainly include time-domain characteristics of bearing vibration signal data and neural network method, spectral analysis method of bearing vibration signal, gray bootstrap method of bearing vibration data, and bearing vibration characteristic analysis method based on Hilbert-Huang. It is an odd function about the symmetry of the zero center

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