Door closer spring and damping coefficients.

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SUMMARY

The discussion centers on the use of door closers as a spring damper system for a golf club test rig at the University of Nottingham. Participants note that the spring constants for door closers typically range from 5-20 N·m/rad. The challenge faced is obtaining specific damping coefficients, as manufacturers are reluctant to share data, fearing misuse. A suggestion is made to conduct empirical tests on existing door closers to gather real-world data, which is deemed more practical than relying on manufacturer specifications.

PREREQUISITES
  • Understanding of mechanical systems and dynamics
  • Familiarity with spring-damper systems
  • Basic knowledge of experimental design and data collection
  • Experience with measuring torque and damping coefficients
NEXT STEPS
  • Research methods for measuring damping coefficients in mechanical systems
  • Explore the design and functionality of various door closers
  • Learn about empirical testing techniques for mechanical components
  • Investigate alternative spring-damper systems suitable for testing golf clubs
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Mechanical engineers, product designers, and researchers involved in sports equipment testing and development.

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I am designing a test rig for golf clubs at the university of nottinghamm, and due to a large spending spree, don't have much of my budget left. As a result of which, I was hoping to use a door closer as a spring damper system.

Does anyone have any idea of rough values of the damping coefficients of these devices, the spring constants seem to be somewhere in the range of 5-20 N.M/rad. We have tried emailing and ringing manufacturers but they all think that we are trying to use the data for industrial espionage and tell us to buy some units and put them in test rig. This is quite impractical and time consuming. Anyone able to help?
 
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Can you test some of the units that are in service right there in your institution? Just move your test rig into the hallway and conduct your test. There is nothing like real data that you measure yourself.
 

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