Optical sensor system for monitoring the extent of mixing in thermosetting resins

Tonguy Liu; R. Mohamed; Gerard Franklyn Fernando

doi:10.1117/12.316969

21 July 1998 Optical sensor system for monitoring the extent of mixing in thermosetting resins

Tonguy Liu, R. Mohamed, Gerard Franklyn Fernando

Proceedings Volume 3330, Smart Structures and Materials 1998: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials; (1998) https://doi.org/10.1117/12.316969
Event: 5th Annual International Symposium on Smart Structures and Materials, 1998, San Diego, CA, United States

Abstract

Advance fiber reinforced composites are used extensively for primary and secondary load-bearing applications. In general, the resin systems used in the manufacture of fiber reinforced composites are multi-component. In other words, they generally contain a resin, hardener and a catalyst. The thermal, mechanical and chemical properties of these materials are strongly influenced by the extent of mixing and the cure schedule which is used to cure the resin. This paper presents preliminary results in the deployment of a static resin mixer system to ensure efficient mixing of the resin system. This paper also reports on initial result on the feasibility of using a simple optical fiber-based sensor system to (a) infer the extent of mixing in the multi- component resin, (b) monitor the chemical integrity of the resin. Differential scanning calorimetry was also use to assess the influence of mixing efficiency on the enthalpy of the cure reaction. The technology reported here has significant implication to composite manufacturing processes which involve the use of resin bath. The contribution of the proposed technology to Clean Technology is also discussed.

Citation Download Citation

Tonguy Liu, R. Mohamed, and Gerard Franklyn Fernando "Optical sensor system for monitoring the extent of mixing in thermosetting resins", Proc. SPIE 3330, Smart Structures and Materials 1998: Sensory Phenomena and Measurement Instrumentation for Smart Structures and Materials, (21 July 1998); https://doi.org/10.1117/12.316969

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