1 January 1987 Automated Environmental Simulation Model Tor Analyzing Wound Fiber Optic Bobbins
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Proceedings Volume 0842, Fiber Optics Reliability: Benign and Adverse Environments; (1987) https://doi.org/10.1117/12.968183
Event: Cambridge Symposium on Fiber Optics and Integrated Optoelectronics, 1987, Cambridge, MA, United States
The life of optical fibers under stress for an extended period of time is limited by static fatigue caused by stress corrosion in the presence of moisture. In order to predict the life of wound optical fibers, it is necessary to accelerate the aging process by simulating the storage environment (stress, temperature, and humidity) in a short period of time. Existing environmental test systems have been proven useful in the simulation of the storage environment; however, the data is limited due to the manual mode of operation. An automated environmental simulation model is developed to control, collect, process, and analyze optical loss data while measuring temperature and humidity. The environmental conditions for optical fibers wound for various applications are simulated in order to understand the interrelationships between wound fiber parameters including spool composition/design, winding tension, adhesives, and fiber cable design. Experimental investigations are carried out to expose wound optical fiber to simulated environments while monitoring changes in the optical and mechanical characteristics of the fibers. Based on the preliminary results of the data obtained, the automated simulation system is proven acceptable for performing routine modeling and evaluations. The automated system is a valuable instrument to aid in the characterization of optical fibers.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugene Edwards, Eugene Edwards, Paul B. Ruffin, Paul B. Ruffin, } "Automated Environmental Simulation Model Tor Analyzing Wound Fiber Optic Bobbins", Proc. SPIE 0842, Fiber Optics Reliability: Benign and Adverse Environments, (1 January 1987); doi: 10.1117/12.968183; https://doi.org/10.1117/12.968183

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