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Computational modeling of metal additive manufacturing – Complete Phd and Masters Thesis

Computational modeling of metal additive manufacturing – Complete Phd and Masters Thesis

[ad_1] Introduction Additive manufacturing, also known as 3D printing, is a revolutionary technology that has transformed the manufacturing industry. Metal additive manufacturing, in particular, has gained significant attention due to its ability to produce complex…

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Multifunctional materials for self-sensing structures – Complete Phd and Masters Thesis

Multifunctional materials for self-sensing structures – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development of multifunctional materials for self-sensing structures. These materials have the ability to not only carry structural loads, but also to sense…

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Metamaterials for acoustic cloaking – Complete Phd and Masters Thesis

Metamaterials for acoustic cloaking – Complete Phd and Masters Thesis

[ad_1] Introduction Metamaterials have revolutionized the field of engineering and physics by providing unprecedented control over the propagation of waves, leading to groundbreaking applications such as invisibility cloaking. Acoustic cloaking is one such application that…

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Nanocomposites for EMI shielding – Complete Phd and Masters Thesis

Nanocomposites for EMI shielding – Complete Phd and Masters Thesis

[ad_1] Introduction Nanocomposites have emerged as a promising material for various applications due to their unique properties and potential for enhancing performance characteristics. One such application is in electromagnetic interference (EMI) shielding, where nanocomposites have…

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Advanced tribological coatings for harsh environments – Complete Phd and Masters Thesis

Advanced tribological coatings for harsh environments – Complete Phd and Masters Thesis

[ad_1] Introduction Tribology is the study of friction, wear, and lubrication of interacting surfaces in relative motion, and is essential for the performance and reliability of mechanical systems. In harsh environments such as high temperatures,…

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Machine vision for autonomous navigation – Complete Phd and Masters Thesis

Machine vision for autonomous navigation – Complete Phd and Masters Thesis

[ad_1] Introduction Machine vision is a rapidly growing field that encompasses the ability of machines to visually perceive the surrounding environment and make autonomous decisions based on the captured image data. Autonomous navigation in particular…

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Multiphysics modeling of fuel cells – Complete Phd and Masters Thesis

Multiphysics modeling of fuel cells – Complete Phd and Masters Thesis

[ad_1] Introduction Fuel cells are electrochemical devices that convert chemical energy directly into electrical energy, providing a clean and efficient alternative to traditional combustion-based power generation systems. Multiphysics modeling plays a crucial role in understanding…

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Advanced heat pipes for thermal management – Complete Phd and Masters Thesis

Advanced heat pipes for thermal management – Complete Phd and Masters Thesis

[ad_1] Introduction Advanced heat pipes have become increasingly important for thermal management in a wide range of applications, including electronics cooling, aerospace systems, and energy systems. As thermal management requirements become more demanding in these…

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Advanced cooling systems for electric vehicle batteries – Complete Phd and Masters Thesis

Advanced cooling systems for electric vehicle batteries – Complete Phd and Masters Thesis

[ad_1] Introduction The increasing demand for electric vehicles (EVs) as a sustainable transportation solution has led to the rapid advancement of battery technology. However, one of the major challenges facing EV batteries is overheating, which…

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Machine learning in computational materials science – Complete Phd and Masters Thesis

Machine learning in computational materials science – Complete Phd and Masters Thesis

[ad_1] Introduction Machine learning has revolutionized the field of computational materials science, allowing researchers to analyze and predict material properties with unprecedented accuracy and efficiency. By leveraging algorithms and statistical models, machine learning techniques can…

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