Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

The critical importance of heat exchangers (HXs) on energy systems has been widely
recognized, which can largely determine the overall efficiency. With the rise of the topology …

The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …

Metal additive manufacturing is gaining immense research attention. Some of these
research efforts are associated with physics, statistical, or artificial intelligence-driven …

Topology optimization (TO) is a method of deriving an optimal design that satisfies a given
load and boundary conditions within a design domain. This method enables effective design …

Topology Optimisation is a broad concept deemed to encapsulate different processes for
computationally determining structural materials optimal layouts. Among such techniques …

Abstract Machine Learning (ML) techniques have been used in an extensive range of
applications in the field of structural and multidisciplinary optimization over the last few …

Structural topology optimization is a compute-intensive process due to several iterations of
simulations required to evaluate the performance of the component during optimization …

The published literature on topology optimization has exploded over the last two decades to
include methods that use shape and topological derivatives or evolutionary algorithms …

In situations requiring high levels of customization and limited production volumes, additive
manufacturing (AM) is a frequently utilized technique with several benefits. To properly …