Manipulating the stiffness of post-buckled beams using topology optimization

Vibration energy harvesters can help in different areas. These vary from supplying power to medical implants or wireless sensors that can aid in predicting natural disasters. However, the problem is that they are not able to generate power across a large bandwidth of frequencies. Bistable energy harvesters can solve this problem when these are...

Simulated Morphogenesis using Ghost Layer Optimization for Additive Manufacturing

Morphogenesis of living organisms could be used as inspiration to digitally augment the reinforcement of structures. The design space in terms of fiber orientation was enlarged to facilitate more complex patches with improved performance that can be 3D printed using a ghost ply optimisation. Simulations performed on optimized open-hole tensile...

Topology Optimization and Physics-Informed Neural Networks for Metamaterial Optics Design

The development of optical metamaterials in recent years has enabled the design of novel optical devices with exciting properties and applications ranging across many fields, including in scientific instrumentation for space missions. This in<br/>turn has led to demand for computational methods which can produce efficient device designs....

Model Order Reduction Methods for Topology Optimization

Topology optimization is a branch of mechanical engineering in which the topology of a structure is created and optimized to certain conditions and restrictions. In the last few decades, the demand for highly accurate and complex models of these structures has increased and it has a big effect on the computational power needed. To ease the...

Actuator optimization for flatness correction of deformed surfaces

By 2030, the global semiconductor industry is projected to hit the valuation of becoming a trillion dollar industry. Advancements in electronic devices have gave rise to tougher requirements thereby requiring the manufacturers to push the limits of consistency. This has lead to a need to enhance the accuracy of the chip manufacturing process....

Deep Generative Designs: A Deep Learning Framework for Optimized Shell Structures

In an urban context that needs to be constantly adapted to global crises, population movements, climate change and economic crises, designers and engineers strive to configure solutions that respond to multiple criteria. Within this framework, the concept of generative design is gaining more and more ground in the construction field, allowing...

Topology Optimization of Masonry Structures

Designing structures that are more sustainable is a relevant topic within the construction industry. By choosing materials that have a low embodied energy value and optimizing the structures that can be constructed by these materials, one could potentially minimize the economical and environmental footprint of a structural design.<br/><br/>As...