Adaptive AI-based surrogate modelling via transfer learning for DEM simulation of multi-component segregation.

Segregation of granular materials is a critical challenge in many industries, often aimed at being controlled or minimised. The discrete element method (DEM) offers valuable insights into this phenomenon. However, calibrating DEM models is a crucial, albeit time-consuming, step.

Model-based design of a mechanically intelligent shape-morphing structure.

Soft robotics has significant interest within the industrial applications due to its advantages in flexibility and adaptability. Nevertheless, its potential is challenged by low stiffness and limited deformability, particularly in large-scale application scenarios such as underwater and offshore engineering. The integration of smart materials and morphing structures presents a promising avenue for enhancing the capabilities of soft robotic systems, especially in large deformation and variations in stiffness.

Model-Based Design of Variable Stiffness Soft Gripper Actuated by Smart Hydrogels.

Soft grippers have shown their ability to grasp fragile and irregularly shaped objects, but they often require external mechanisms for actuation, limiting their use in large-scale situations. Their limited capacity to handle loads and deformations also restricts their customized grasping capabilities. To address these issues, a model-based soft gripper with adaptable stiffness was proposed.

Pin-on-Disc Modelling with Mesh Deformation Using Discrete Element Method.

The pin-on-disc test is a standard sliding wear test used to analyse sliding properties, including wear contour and wear volume. In this study, long-term laboratory test performance is compared with a short-term numerical model. A discrete element method (DEM) approach combined with an Archard wear model and a deformable geometry technique is used.

The Effect of Environmental Conditions on the Degradation Behavior of Biomass Pellets.

Biomass pellets provide a pivotal opportunity in promising energy transition scenarios as a renewable source of energy. A large share of the current utilization of pellets is facilitated by intensive global trade operations. Considering the long distance between the production site and the end-user locations, pellets may face fluctuating storage conditions, resulting in their physical and chemical degradation.

Numerical calculations of environmental impacts for deep sea mining activities.

With the expected dramatic increase of mineral resources consumption, deep sea mining (DSM) was proposed as a method supplying the running of world economy by cooperating with or compensating for the terrestrial mining industry. However, its industrialization process is hindered by various reasons including the technological feasibility, economic profitability, and the DSM environmental impacts. The objective of this paper is to calculate the DSM environmental impacts based on a DSM environmental impact framework, which was selected through a systematic literature review in earlier work.

A numerical calculation method of environmental impacts for the deep sea mining industry - a review.

Since the gradual decrease of mineral resources on-land, deep sea mining (DSM) is becoming an urgent and important emerging activity in the world. However, until now there has been no commercial scale DSM project in progress. Together with the reasons of technological feasibility and economic profitability, the environmental impact is one of the major parameters hindering its industrialization.