Segmenting delaminations in carbon fiber reinforced polymer composite CT using convolutional neural networks

2016 ◽  
Author(s):  
Daniel Sammons ◽  
William P. Winfree ◽  
Eric Burke ◽  
Shuiwang Ji
Keyword(s):  
Neural Networks ◽  
Carbon Fiber ◽  
Polymer Composite ◽  
Convolutional Neural Networks ◽  
Fiber Reinforced Polymer ◽  
Carbon Fiber Reinforced Polymer ◽  
Fiber Reinforced ◽  
Reinforced Polymer ◽  
Carbon Fiber Reinforced

Fatigue Testing Method of Test Coupon and Structurally Equivalent Samples of Carbon Fiber Reinforced Polymer for Gas Turbine Engine Parts and Assemblies

2018 ◽  
Vol 284 ◽  
pp. 43-47
Author(s):  
M.S. Nikhamkin ◽  
N.A. Sazhenkov ◽  
D. Samodurov
Keyword(s):  
Carbon Fiber ◽  
Gas Turbine ◽  
Polymer Composite ◽  
Fiber Reinforced Polymer ◽  
Carbon Fiber Reinforced Polymer ◽  
Fatigue Properties ◽  
Fiber Reinforced ◽  
Test Coupon ◽  
Reinforced Polymer ◽  
Carbon Fiber Reinforced

The carbon fiber reinforced polymer composite are widely used in industry as major structural materials. They represent the greatest interest for the production of gas turbine engines parts because of their high specific strength. But before adaptation these materials into the structure, it is necessary to conduct a number of tests, both on test coupon and on structurally equivalent samples for determining physical, in particular, fatigue properties of these materials. However, the high cost of manufacturing coupons for such tests has a negative impact on the adaptation of carbon fiber reinforced polymer composite into the composition of final products. In this paper it is presented a method for fatigue tests of test coupon and structurally equivalent samples of carbon fiber reinforced polymer, aimed at reducing the consumption of coupons which are necessary for obtaining fatigue properties. Based on the developed method, a series of carbon fiber coupons was tested and the fatigue limit was obtained. At the same time, the use of coupons was minimized.

Sign in / Sign up

Export Citation Format

Share Document