An efficient thermal-structural numerical solver for Additive Manufacturing has been developed based on a modified Lagrangian approach to solve the energy conservation equations in differential form. The heat transfer is modeled using the finite differen
The frameworks and empirical studies in extant literature do not account for this. A way to address the temporal aspect of strategic action in platform competition research is the systematic use of modelling and simulation alongside empirical cases. The paper explores the multi-level research agenda ...
It is idealised, and the least accurate description is the homogeneous nature of the classes. In reality, classes are diverse (and you have phenomena like false class consciousness), so this is abstract modelling in the vein of Arrow's "three voters". It's an economic model of liberal ...
Soft robots are primarily composed of soft materials that can allow for mechanically robust maneuvers that are not typically possible with conventional rigid robotic systems. However, owing to the current limitations in simulation, design and control of
In the context of creating digital citizens, Swarm Intelligence can assist in modelling and facilitating intelligent behaviour from a multitude of interacting entities. Agents can share local information and adjust their behaviors based on this shared knowledge, resulting in emergent global strategies that...
This invited review summarizes the progress of numerical simulation studies of PSK/c-Si TSC in terms of the methodology, light harvesting management, and energy yield (EY) aspects. Starting with the physical fundamentals of the methodology, we outline five commonly used software kernels (finite elem...
Spreading of rod-shaped particles in realistic AM settings is simulated using the discrete element method (DEM) to investigate the effects of particle shape and operating conditions on the bed quality, characterised by its surface roughness and solid volume fraction. It is discovered that larger ...
The analysis reported here begins with a presentation of the specifics of the Bayesian data calibration framework we have developed for supporting LF modelling based on field data. This is followed by describing results from the model calibration exercise, and examination of the ability of vector-sp...
{S}}_0\). Of course, this also easily generalizes to a measurement made of a collection of such surface-based data associated with\(N_{\mathcal {S}}\)surfaces\(({\mathcal {S}}_0^i)_{i=1}^{N_{\mathcal {S}}}\)and associated vector fields\(\varvec{e}^i\), for which ...
Collaborations between researchers and practitioners have recently become increasingly popular in education, and educational design research (EDR) may bene