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Qin, Xusen (author)
Neural networks have made significant progress in domains like image recognition and natural language processing. However, they encounter the challenge of catastrophic forgetting in continual learning tasks, where they sequentially learn from distinct datasets. Learning a new task can lead to forgetting important information from previous tasks,...
master thesis 2024
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Spoelstra, Linde (author)
Mycelium based composites (MBC) have revolutionised the field of material production, where a living fungus is employed to overgrow and bind lignocellulosic substrate materials together. Their bio-based nature, low embodied energy, and biodegradability, mark their great potential to reduce the increasing pressure conventional materials put on...
master thesis 2023
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Hu, T. (author)
This research explores the integration of Neural Architecture Search with Optical Neural Networks to optimize the efficiency and performance in traditional visual image classification tasks. The study introduces a new approach that applies Neural Architecture Search, a technique traditionally used to optimize the performance of Artificial Neural...
master thesis 2023
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van Linn, Joseph (author)
Snow is a natural hazard to human life and infrastructure. This motivates current research efforts to understand the granular material. The material point method models snow as a continuum. Application length scales range from the microstructural level to full scale avalanches. This conventional numerical method relies on solely spatially local...
master thesis 2023
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HARIHARAN, RAJNEESH (author)
Delamination is a significant failure mode that has been the subject of extensive research in laminated structures. The interface in assembly structures often represents the susceptibly weak link and necessitates careful consideration to guarantee structural stability. It is of utmost significance to understand the behaviour of the delamination...
master thesis 2023
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Chauhan, Aditya (author)
The superior nature of long fiber reinforced thermoplastics (LFTs) in terms of properties such as specific modulus, strength, and excellent impact resistance, along with their lightweight properties, ease of processability and recyclability make them one of the most competitive materials leading to their growth in various fields of applications....
master thesis 2022
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Geschiere, Joran (author)
The accuracy of hot press forming process simulations with unidirectional fiber reinforced thermoplastics is not at the desired level. Fundamental knowledge about the interactions between adjacent plies is needed to enhance predictive quality. Several mechanisms can be distinguished during hot press forming of composites. This thesis focuses on...
master thesis 2022
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Gongatti, Manoj Reddy Gongati (author)
The two most common Post Consumer Recycled (PCR) plastics, isotactic polypropylene (iPP) and high density polyethylene (HDPE), differ in composition and mechanical behavior when compared to their virgin counterparts. This thesis focuses on understanding and modeling the mechanical performance of these two PCR plastics separately. Within this...
master thesis 2022
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BABU, ADITYA (author)
Bio-based composites have been a viable material choice in aerospace, automobile and construction industries over the past few decades. From day-to-day products like spoons and chairs to the construction of rocket parts, bio-based composites find their applications due to their mechanically enhanced, cost-effective and lightweight structures,...
master thesis 2022
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Mudunuru, Nanditha (author)
Designing and modeling compatibilized polymer blends require accurate interface model. In addition, it is possible that crazing occurs during failure of the interfaces leading to large deformation prior to complete failure and therefore must be accounted for by the interface model.<br/><br/>A preliminary literature review showed that existing...
master thesis 2022
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Norder, Lucas (author)
Conventional Topology Optimization (TO) enables the inverse design of nanophotonic structures by specifying the objective and constraints without a predefined topological concept. Yet, extreme scenarios such as the design of a...
master thesis 2022
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Guo, Tiancheng (author)
Polymers have a long history of development and their application widely supports the normal operation of industry and society. Yet, the environmental consequences of using virgin plastics demand new sustainable solutions. In this quest, being capable of predicting the mechanical behavior of post-consumer recycled plastics is essential to...
master thesis 2022
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Srivastava, Sudiksh (author)
The existing drug development process is economically and scientifically challenging. It fails to efficiently emulate human physiology in-vitro with the current pre-clinical studies which includes in-vitro cell culture models and animal testing. Organ-on-Chip (OoC) technology aims to recreate an in-vivo like micro environment to investigate drug...
master thesis 2021
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Suryanarayanan, Surya Narayanan (author)
Inverse design with topology optimization has followed the same computational<br/>graph for decades. The unknown material density is distributed within a domain,<br/>a computational analysis predicts the response of that design and its derivative<br/>with respect to the unknown, and this information is used by a chosen gradient­<br/>based...
master thesis 2021
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van Dam, Daniël (author)
Suspended microchannel resonators are a kind of mechanical resonator with an embedded microchannel inside. This is done as for some samples it is convenient or even necessary to put the sample into a fluid. The sample can then travel through the channel and its mass can be determined. The channel also simplifies placement of the samples compared...
master thesis 2021
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van der Schelling, Martin (author)
Algorithmic optimization is a viable tool for solving complex materials engineering issues. In this study, a data-scarce Bayesian optimization model was developed to research the composition of bio-based composites. The proof-of-concept program adjusts the natural materials' weight ratios to optimize towards user-defined mechanical properties....
master thesis 2021
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Kasprzyk, Szymon (author)
Metamaterials are a relatively new group of materials whose behaviour strongly depends on the design of their internal structure. They can be employed in a wide range of applications, one of which is presented in this thesis. As cardiovascular diseases account for around 30% of deaths worldwide the research done in the field of Materials Science...
master thesis 2020
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Turan, O.T. (author)
Various engineering applications rely on efficient, high performance materials to overcome design challenges. This high performance can be achieved by engineering micro-heterogenous materials also known as composites. Since the behavior of composites relies heavily on micro-scale interactions between different components, modeling...
master thesis 2020
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Kuś, Gaweł (author)
The data-driven approach shows great potential for designing new materials with unprecedented properties by using machine learning and optimization. Recently, a data-driven framework was successfully applied to design a unit cell of metamaterial achieving super-compressibility, despite being built out of brittle base material. The key element of...
master thesis 2019
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Tjensvoll, Knut (author)
Numerical simulations have become an essential part of design in every field of engineering, and the boundaries of technology are pushed further out every year. In structural engineering, the desire to design structures that have complex shapes or that are simply cheaper and more efficient, has necessitated the use of complex numerical...
master thesis 2019
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