Improved Foreign Object Damage Performance for 3D Woven Ceramic Matrix Composites

Period of Performance: 01/01/2014 - 12/31/2014


Phase 2 STTR

Recipient Firm

Materials Research and Design, Inc.
300 East Swedesford Road
Wayne, PA 19087
Firm POC
Principal Investigator

Research Institution

University of Akron
284 Polsky Building
Akron, OH 44325
Institution POC


As the power density of advanced engines increases, the need for new materials that are capable of higher operating temperatures, such as ceramic matrix composites (CMCs), is critical for turbine hot-section static and rotating components. Such advanced materials have demonstrated the promise to significantly increase the engine temperature capability relative to conventional super alloy metallic blades. They also show the potential to enable longer life, reduced emissions, growth margin, reduced weight and increased performance relative to super alloy blade materials.MR & D is proposed a program focused on improving the impact resistance of CMCs using 3D woven reinforcement. This approach was shown in the Phase I program to hold promise for increased performance is of specific interest to Rolls Royce as a candidate material for vanes and blades in their turbine engines. MR & D will expand the capability of its analysis tool which was developed during the Phase I program by incorporating failure criteria tailored for 3D woven preforms as well as executing analyses to predict the exact locations of the fiber tows after weaving.Along with impact testing, an expansive testing program to characterize multiple 3D fiber architectures will be executed. The impact testing and associated non-destructive evaluation will be conducted at the University of Akron using state-of-the-art techniques to record the damage caused by the projectile in real time as well as detailed post-test evaluation. Material characterization tests will be conducted at Southern Research Institute and The Ohio State University. All of the data resulting from this extensive test program will enhance the analytical tools accuracy and utility.