Product category:
Seals
News Release from: Freudenberg Simrit LP | Subject: Freudenberg Simrit O ring measurement system
Edited by the Engineeringtalk Editorial
Team on 17 August 2007
Sensors automate O-ring application
In many modern applications, O-ring seals are installed automatically on automated assembly lines.
In many modern applications, O-ring seals are installed automatically on automated assembly lines Both the reliable separation and resilience dynamics of O-rings are key variables for short cycle times
This article was originally published on Engineeringtalk on 18 Feb 2003 at 8.00am (UK)
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Freudenberg Simrit uses a newly developed measuring system to analyse these decisive parameters.
The substantiated information provided by these analyses about the resilience dynamics of O-rings with regard to elongation or elongation rate, material, elongation time, dimensions, and temperature can be used to optimise automated assembly lines.
Most O-ring seals are elongated during installation.
On fully automated assembly lines, O-rings must have enough time to recover between the removal of stress after elongation and the next assembly step in order to allow them to fit snugly and securely into the groove base.
This is the only way to prevent the formation of loops that could result in damage to the O-ring or the shearing off of the O-ring during the remainder of the assembly process.
In order to provide accurate information and to make recommendations as to how the automated assembly can be optimised, Freudenberg Simrit developed an optical measuring system that can simulate the various factors that affect resilience under assembly conditions.
Material-specific parameters make it possible to make accurate statements about the resilience dynamics of O-rings and, therefore, about assembly reliability.
To this end, O-ring-specific factors (such as compound, hardness, or dimensions) and assembly-specific parameters (such as number of grippers and the resulting elongation rate and duration of elongation) are taken into account.
The analysis of a variety of factors that affect the resilience dynamics of an O-ring lead to precise assembly recommendations.
This means that cycle times in automated production can be accurately adapted and assembly-related influences minimised.
This in turn optimises assembly reliability and helps to increase the quality of the assembled parts.
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