September 28, 2021
September 28, 2021
Presenter: Amrita Basak, PhD
The Pennsylvania State University
Topic: Deep Neural Network Based Fatigue Damage Detection of Aluminum Alloys
Time: 5 p.m. to 6 p.m. EST
Abstract: Fatigue damage is one of the most common causes of failures in aerospace structural components. While numerical modeling and laboratory-scale experimentation provide much insight into the physics of failure evolution, it is extremely challenging to account for all variability a component may be subjected to during on-field operation. Human-supervised continuous monitoring of such components using sensors, therefore, provide a much-needed alternative for reliable operation of these components. By leveraging the concepts in deep learning, such human supervision can be assisted with an automated pre-trained deep network for damage detection. To that end, in this talk, I will introduce two distinct deep neural network (DNN) architectures for fatigue damage detection using ultrasonic time-series data obtained from a custom-fatigue testing apparatus. The first DNN, called a feature-based network, is built by using predefined features viz. frequency domain amplitude and autocorrelation from the ultrasonic data as the inputs. The second DNN, called a feature-less network, uses the ultrasonic data as-is without any pre-processing. The feature-less network is observed to outperform the feature-based network indicating that traditional signal features are inadequate in capturing the complex interactions between the ultrasonic sensors and the material of investigation. The results demonstrate the efficacy of DNNs in detecting the health of the specimens with more than 95% accuracy.
Bio: Dr. Amrita Basak is an assistant professor of mechanical engineering at The Pennsylvania State University – University Park. She received a Ph.D. in Mechanical Engineering from the Georgia Institute of Technology. She holds two master’s degrees – one in Aerospace Engineering from Georgia Tech and the second one in Chemical Engineering from the Indian Institute of Technology Kanpur. She received her undergraduate degree in Chemical Engineering from Jadavpur University, Kolkata, India. In between her academic stints, she spent a considerable amount of time in the industry including General Electric, Intel Corporation, and Robert Bosch. At Penn State, Dr. Basak’s research group focuses on processing different metallic, polymeric, and ceramic materials to understand their properties. She is a coambassador of the “Women in 3D Printing (Wi3DP)” chapter at Penn State.
For questions contact: Dr. Tuğrul Özel at firstname.lastname@example.org or 848-445-1099.