Sfu Ball Screws Load Efficiency Characteristics

sfu ball screws load efficiency characteristics

First, the core influence factor of efficiency performance

sfu ball screws transmission efficiency is essentially determined by the load - friction - temperature rise triangular relationship:

Material hardness: GCr15SiMn bearing steel (HRC62-64) reduces the coefficient of friction by 22% compared with ordinary 45# steel, and improves the efficiency by about 3% in medium load;

Preloading method: double-nut elastic preload is 50% lower than the efficiency degradation rate of single-nut shim preload, and maintains more than 92% of efficiency after 100,000 cycles;

Lubrication status: microcapsules with slow-release lubrication can reduce friction heat by 15% under heavy load to avoid the efficiency caused by temperature rise. Lubrication: microcapsule slow-release lubrication can reduce frictional heat by 15% under heavy load, avoiding the sudden drop of efficiency caused by temperature rise.

Typical load range efficiency measurement data

1. Light load working condition

Efficiency characteristics: stable at 92%-95%, close to the ideal transmission efficiency

Application Scenario: Semiconductor wafer handling platform (load ≤ 2kN)

Measurement case: SFU1605 runs continuously for 8 hours under a load of 1.5kN with an efficiency of 94.3%, and a temperature rise of only 8℃. 2. Medium load working condition Efficiency peak

2. Medium load working condition

Peak efficiency: 96% at 50% load

Key advantage: asymmetric raceway design makes the ball contact stress distribution uniform, and the efficiency is 2.5% higher than that of competitors

Equipment matching: high-speed sorting line for 3C products (load 3-5kN)

3. Heavy load working conditions

Efficiency performance: 93% at 80% load, down to 90% at 100% load

Technical breakthrough: helix angle optimization + oil cooling system combination, so that the efficiency of heavy load is 4% higher than the traditional solution

Typical application: automotive die casting machine clamping mechanism (load ≥ 30kN)

4. Shock load condition

Instantaneous efficiency: efficiency can fluctuate to 85%-90% at the moment of impact

Protective design: double nuts + anti-loosening slot structure, which shortens the recovery time of efficiency by 60% after impact

Test data: 5000N Test data: 5000N impact load, efficiency degradation ≤3% after 1000 cycles

Light load high precision scenarios: SFU1204-SFU2005, C5 preload rating, prioritizing nano-coating to reduce start-up resistance;

Medium-duty general-purpose scenario: SFU2510-SFU3210, with oil lubrication system to fully utilize the efficiency peak interval;

Heavy-duty impact scenarios: SFU4020-SFU6332, with cooling system and reinforced preload structure.

Fourth, industry comparison and efficiency advantage verification

In an automotive parts press fitting equipment test, SFU5020 in 35kN load (78% of the rated value) continued to run for 2000 hours, the efficiency stabilized at 92.8%, while competitors with the same specifications of the efficiency of the product decayed to 87.5%, and due to the high temperature need to shut down to cool down 4 times / day, our products to achieve 24 hours of continuous and trouble-free operation.

Five. Efficiency Optimization Implementation Guidelines

Preload Calibration: Use torque wrench to adjust the preload in 10% increments according to the load, and the recommended preload for medium load condition is 8%-12% of the rated load;

Lubrication Cycle Management: Supplementary lubrication for every 500 hours of light load, and mandatory oil injection for every 200 hours of heavy load;

Temperature Monitoring: Starting the oil cooling system when the temperature exceeds 70℃ can maintain the efficiency degradation at ≤1%/hour.

Through dynamic load matching and structural optimization, SFU Ball Screws can achieve double breakthroughs in efficiency and life span in semiconductor, automotive, medical and other fields. It is recommended to apply for a free load test in combination with the working conditions of the equipment to obtain a customized efficiency optimization plan.