53rd Annual Reliability & Maintainability Symposium (RAMS), 2007

Energetic Material/Systems Prognostics

David K. Han
Michael G. Pecht
Davinder K. Anand
Robert Kavetsky

Prognostics Health Management Group
Center for Advanced Life Cycle Engineering (CALCE)
Department of Mechanical Engineering
University of Maryland
College Park, MD 20742


The US military and weapons industries require their weapon systems to be reliable. As inexpensive miniaturized sensors and affordable simulation tools have become available, the prognostics method has begun to attract the attention of engineers seeking a new way to increase and optimize system reliability. This paper presents the tools
currently available and being developed for prognostics of military energetic systems. Key elements of the study were assessments of available energetic material models, as well as current and future sensors for monitoring the health of energetic systems. A roadmap for developing prognostic methodologies is proposed.

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