Download or read book Data-Driven Strategies for Engineering Design and Diagnostics written by Susheel Dharmadhikari and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dissertation explores data-driven methods for design and diagnostics, specifically in the areas of fatigue crack detection and pin fin design optimization. In terms of diagnostics, detecting fatigue damage is crucial for structural health monitoring, but it can be challenging to identify the emergence of fatigue-induced cracks during operation. This dissertation investigates fatigue damage detection using a novel imaging setup and two types of sensors, viz., ultrasonics and force-displacement. The study achieves successful damage detection with over 95% accuracy by applying deep neural networks. Additionally, the study explores the use of transfer and mixed-learning frameworks that can adapt a pre-trained deep neural network to different specimens with varying notch geometries. With the help of force-displacement sensor data and a random forests-based classifier, it is shown that fatigue damage can also be reliably identified with global information. Regarding data-driven design, the dissertation addresses the problem of pin-fin design, which has been the focus of consistent research in the past. With the emergence of additive manufacturing technologies, the design problem has expanded to include complex geometries for improved heat transfer and reduced pressure drop. The dissertation applies Gaussian processes-based surrogate models and Bayesian optimization to design new concepts for pin-fins. To facilitate a larger design space exploration, an automated simulation framework is developed, which integrates Python, MATLAB, and ANSYS into a single software for iterative simulations. The study also includes global and local sensitivity analyses to understand the impact of design features on the objective.