How To Select Koyo Bearing Type
How To Select Koyo Bearing Type
2021年12月12日
Selection Points Of Nsk Bearing Type
Selection Points Of Nsk Bearing Type
2021年12月12日

Selection Method Of Koyo Bearing Type

 

Each Koyo bearing series has different characteristics

Because of its different design, which makes it suitable for a specific application range. For example, deep groove ball bearings can bear medium radial and axial loads with low running friction, and can produce high-precision and low-noise products. Therefore, they are suitable for small or medium-sized motors. Spherical roller bearings can bear extremely heavy loads and can be self-aligning.These characteristics make it suitable for engineering applications. Because in these applications the load is very heavy, and the heavy load will cause deformation and misalignment.

 

However, when selecting Koyo bearings, it is often necessary to consider a variety of factors to weigh their weight, so there is no “general principle”. Some characteristics do not just depend on the type of Koyo bearing. For example, the rigidity of a configuration consisting of angular contact ball bearings or tapered roller bearings also depends on the preload selected; As another example, the speed limit of Koyo bearing is determined by various factors such as bearing accuracy, components around the bearing and cage design.

Selection Method Of Koyo Bearing Type
In cylindrical roller bearings, the new design has greater axial load capacity than the traditional design.

However, despite the above shortcomings, it can still help to select Koyo bearings. In addition, we should also see that the selection of Koyo bearings is also affected by the total cost of the selected Koyo bearing configuration and whether the market can supply. When designing the configuration of Koyo bearing, we must pay attention to its key points, such as load bearing and Koyo bearing life, friction, limit speed, bearing internal clearance or preload, lubrication, sealing, etc., which can be considered according to the relevant data of this model.