Location

La Jolla, CA

Start Date

1-1-1993 12:00 PM

Description

Monitoring and control of the integrity and properties of materials at all stages of structural life, from cradle to retirement, is a growing NDE field. A typical system consists of a sensor, data acquisition, processing and control setup with a host personal computer. For composites, the stage of cure is the only time when an adequate actuation can easily affect the cause of unacceptable characteristics or possibly eliminate the formation of defects. Real-time monitoring of the cure process of plastic-reinforced composites can prevent overbleeding, minimize trapped volatiles, alert of vacuum leak, indicate cure rate and optimize the material properties. For many years, the process of curing composites has been an empirical science and has evolved through a trial-and-error approach. In recent years, significant progress has been made towards understanding the process as a result of data accumulation and progress in mathematical modelling of the composite cure process. Computer science is increasingly applied to support the process analysis using artificial intelligence and knowledge base systems.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

12A

Chapter

Chapter 4: Sensors and New Techniques

Section

Electromagnetic Sensors

Pages

1039-1046

DOI

10.1007/978-1-4615-2848-7_133

Language

en

File Format

application/pdf

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Jan 1st, 12:00 PM

Sensors for cure monitoring of composite materials

La Jolla, CA

Monitoring and control of the integrity and properties of materials at all stages of structural life, from cradle to retirement, is a growing NDE field. A typical system consists of a sensor, data acquisition, processing and control setup with a host personal computer. For composites, the stage of cure is the only time when an adequate actuation can easily affect the cause of unacceptable characteristics or possibly eliminate the formation of defects. Real-time monitoring of the cure process of plastic-reinforced composites can prevent overbleeding, minimize trapped volatiles, alert of vacuum leak, indicate cure rate and optimize the material properties. For many years, the process of curing composites has been an empirical science and has evolved through a trial-and-error approach. In recent years, significant progress has been made towards understanding the process as a result of data accumulation and progress in mathematical modelling of the composite cure process. Computer science is increasingly applied to support the process analysis using artificial intelligence and knowledge base systems.