Correlating Fluorescence and Stress/Strain for Spiropyran Mechanosensors

When designing mechanical components, they commonly undergo multiple modeling phases for stress determination using analytical or numerical methods like the Finite Element Method (FEM). This is followed by experimental validation performed via stress mapping to identify and account for possible mechanical failure within the design phase. Among...

Digital Twin of Torpedo Ladle Car

Torpedo ladle cars play a role in transporting hot metal within steel plants, and optimizing their operation is crucial for reducing energy consumption and CO2 emissions.This study investigates the feasibility of developing a digital twin for simulating the thermal management of torpedo ladle cars at Tata Steel by combining reduced-order models...

Design of Ferritic-Bainitic High Strength Steels: A Physical Metallurgy Guided Machine Learning

Bainite steels are in high demand in many application areas owing to their outstanding mechanical properties, mainly due to the presence of a combination of fine bainite plates and retained austenite. Understanding the complicated mechanism of bainite transformation is crucial to creating an optimum design. Researchers have addressed this...

A Finite Element Analysis of Viscoelastic Behavior in Spinodoid Metamaterials

Recent advancements in additive manufacturing have led to significant progress in the field of metamaterials, wherein the introduction of microscopic features affects the material properties on a macroscale. Common examples of these materials are truss-based and plate-based structures. However, these lattices bear inherent susceptibility to...

Data-Driven Material Characterisation of Multicomponent Atherosclerotic Arteries

Cardiovascular diseases continue to be the primary cause of death worldwide, where the buildup of plaque within arterial walls, known as atherosclerosis, is a major contributor to various acute cardiovascular events. Determining the material properties and the resulting stress distributions is crucial in the risk assessment of atherosclerotic...

Joining techniques for internal bonding of components into carbon fibre-reinforced polymer structures with limited access

Hall spars, a leading innovator in the composite mast-building industry with a long history of successful projects, provided a challenge which is the inspiration of this thesis. This thesis aims to contribute to the challenge: Joining techniques for the internal bonding of carbon fibre-reinforced polymer components into carbon fibre-reinforced...

Constitutive modeling and characterization of C/C-SiC CMC material

Ceramic matrix composites (CMCs) are advanced materials that consist of a ceramic matrix reinforced with a high-strength, high-stiffness material, such as carbon fibers. They offer excellent thermal and chemical stability while exhibiting low weight and exceptional mechanical properties. A novel CMC material is the C/C-SiC produced with 2/2...

Data-driven inverse design of growth-based Voronoi meta-materials

Metamaterials derive their properties from microstructure rather than from bulk material properties. This opens property spaces that are difficult, or impossible, to access with traditional methods. However, exploring this vast design space remains challenging because classical techniques can be computationally inefficient. Recent years has seen...

Combining spectral and lateral information during the evaluation of hyperspectral data

Hyperspectral techniques have found application for the investigation of objects and samples in many scientific fields. Data evaluation approaches commonly either process them as stacks of randomly ordered spectra or as flat images. This thesis aims at combining both, lateral and spectral, aspects of hyperspectral data during data evaluation....