Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Karl David Dearn has a total of 205 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Dimple‐Encoded Reprogrammable Origami

    by Qun Zhang, Weicheng Huang, Amir Hajiyavand, Hyunyoung Kim, Claire Dancer, Karl Dearn, Mingchao Liu

    Programmable folding of elastic sheets typically relies on predefined flexible creases or active materials‐enabled hinges, which lack intrinsic bistability and limit reprogrammability within a single structure. Here, we present a dimple‐encoded origami platform that converts bistable dimple snapping into dimple‐encoded hinge bands with prescribed folding angles in a continuous sheet. This interaction‐enabled mechanism enables the design of distributed hinge networks through the arrangement and selective inversion of dimples. We establish folding‐angle design charts that can be directly used to select local dimple arrangements for a target folding angle, forming a practical hinge‐angle library without altering the underlying unit geometry. Using this approach, a single dimpled sheet can be reprogrammed to realize multiple distinct configurations, such as triangle, square, and pentagon shapes. We further extend the method to flat‐to‐3D morphing of polyhedral origami and validate the results through experiments and finite element simulations. As demonstrations, we realize self‐supporting cubic shells with enhanced impact resistance and partially deployable cube configurations that remain stable upon opening, highlighting their potential for protective enclosures and deployable architectural structures. The proposed strategy provides a fabrication‐friendly route to reprogrammable shape‐morphing and adaptive mechanical systems.

  • Open Access

    Lubricity and tribological performance of 2-methylfuran and 2-methyltetrahydrofuran blended with diesel

    by Alexander Howe, Piyamon Poapongsakorn, Manju D Tanwar, Ali M Al-Qahtani, Omid Doustdar, Karl D Dearn

    The implementation of biofuel additives for gasolinegasoline and diesel engines to improve their combustion properties has been investigated comprehensively. TheseThese blended fuels improve fuel performance by increasing oxygen content, enhancing octane number, and reducing greenhousegreenhouse gas emissions. This paper will study the lubricity and tribological properties of diesel blended with MF and MTHF (2,2-methylfuran / Diesel and 2,2-methyltetrahydrofuran / Diesel). The results will be assessed using a modified version of ASTM D6079, using a high-frequency reciprocating test rig. It's known that blending up to 30% of MF and MTHF with diesel improves engine efficiency. However, increasing the blend ratio to 30% doesdoes not resultresult in a significant enhancement of lubricity performance. It was found that 5% MF blends reduce the wear scar size by over 50% and significantly reduce the friction coefficient. Higher MF concentrations did not yield a noticeable improvement, so the optimal blend ratio is 5%. This was attributed to the planar aromatic molecular structure of MF.. In contrast, MTHF, an aliphatic molecule, adoptsadopts a boat conformation, which significantly increases steric hindrance in its blends, leadingleading to poor tribological properties. The wear mechanisms for MF differ at 5%-10%, 20%, and 30%. Further development of this research should gather information from surface analyses, such as surface topography, high-magnification SEM, and FTIR, to understand wear mechanisms and study the tribofilm properties resulting from the testing.

  • Open Access

    Hydrodynamic lubrication effects in textured PEEK surfaces for friction reduction

    by Christopher W. Harris, Omid Doustdar, Arvin Taghizadeh Tabrizi, Ali M. Al-Qahtani, Amir M. Hajiyavand, Karl D. Dearn

    The tribology of dimple-shaped textures is investigated within a reciprocating polymeric sliding couple of Invibio poly-ether-ether-ketone (grade 450G). A novel theoretical model was developed for this aim, describing hydrodynamic pressure and frictional force due to surface modifications. Experiments show reduced friction across all textures compared to un-textured surfaces. The parameters of texture depth (5–20 µm) and diameter (50–200 µm) were isolated to analyse the effect of each independently. The diameter showed good agreement with the model; however, depth showed variation at the extremities of the parameters examined. The experimental friction force captured over a single stroke was compared to the instantaneous theoretical friction force, and good agreement was found in the form of the friction trace within the hydrodynamic region of a reciprocating stroke. The texture parameter combination of 50 µm diameter and 20 µm depth showed the most significant reduction in friction at 48.7%.


  • Open Access

    Sustainable textiles through electrospinning: addressing environmental challenges

    by Nicole Sharples, Omid Doustdar, Miguel Carmona‐Cabello, Shayan Abrishami, Jose M. Herreros, Ali Sadaghiani, Karl D. Dearn


  • Open Access

    A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images

    by Chenyang Wang, Qiufeng Yi, Ali Aflakian, Jiaqi Ye, Theodoros Arvanitis, Karl D. Dearn, Amir Hajiyavand

    Ovarian cancer, a leading cause of cancer-related deaths among women, comprises distinct subtypes each requiring different treatment approaches. This paper presents a deep-learning framework for classifying ovarian cancer subtypes using Whole Slide Imaging (WSI). Our method contains three stages: image tiling, feature extraction, and multi-instance learning. Our approach is trained and validated on a public dataset from 80 distinct patients, achieving up to 89,8% accuracy with a notable improvement in computational efficiency. The results demonstrate the potential of our framework to augment diagnostic precision in clinical settings, offering a scalable solution for the accurate classification of ovarian cancer subtypes.


  • Open Access

    Comparison of mechanical and physical behaviors of carbon/basalt/epoxy hybrid composite rod with carbon/glass/epoxy hybrid composite rod used in ACCC conductor core

    by Pooya Parvizi, Milad Jalilian, Karl D. Dearn

    The demand for increased distribution capacity in transmission lines has led to the growing use of hybrid composite rods as the reinforcing core of Aluminum Conductor Composite Core overhead conductors, known as ACCC. These rods usually consist of a carbon fiber‐reinforced epoxy matrix composite core surrounded by an outer shell made of a glass fiber‐reinforced epoxy matrix composite. The outer shell composite can be reinforced with basalt fibers, which are being used more frequently due to their favorable properties. In this research, mechanical properties such as flexural strength, physical properties including density and electrical resistance, and thermal behavior of carbon/basalt/epoxy (CBE) and also carbon/glass/epoxy (CGE) hybrid composite rods fabricated by the pultrusion process have been investigated. The CBE composite exhibited approximately 4% higher mean flexural strength than CGE. Additionally, the CBE composite showed higher thermal stability, as indicated by Thermogravimetric Analysis (TGA). The CGE composite has about 4% higher density than the CGE composite, leading to higher mass per unit length of the resultant ACCC conductor. Finally, the fracture surfaces of hybrid composite rods have been studied using scanning electron microscopy (SEM). The results indicate the better mechanical and thermal properties of carbon/basalt/epoxy hybrid composite rods. Highlights: Growing use of hybrid composite rods in ACCC overhead conductors. Hybrid composite rods have a carbon fiber core and glass‐reinforced outer shell. Basalt fibers increasingly used to reinforce the outer shell composite. Pultrusion process used for producing the hybrid composite rods. Fracture surfaces of hybrid composite rods studied using SEM.


  • Open Access

    Pathways to Decarbonization of Deep-Sea Shipping: An Aframax Case Study

    by Salman Farrukh, Mingqiang Li, Georgios D. Kouris, Dawei Wu, Karl Dearn, Zacharias Yerasimou, Pavlos Diamantis, Kostas Andrianos

    Deep-sea decarbonization remains an enigma as the world scrambles to reduce global emissions. This study looks at near-term decarbonization solutions for deep-sea shipping. Pathways are defined, which are appealing to ship owners and major world economies alike. The economic and environmental viability of several of the most advanced near-term technologies for deep-sea decarbonization are revealed. The environmental analysis suggests the necessity of new emission intensity metrics. The economic analysis indicates that the carbon tax could be a great motivator to invest in decarbonization technologies. Standalone decarbonization technologies can provide a maximum of 20% emissions reduction. Hence, to meet IMO 2050 targets of 50% emissions reduction, several solutions need to be utilized in tandem. This study reaches the conclusion that alternative fuels are the crucial step to achieve a net zero carbon economy, although bunkering, infrastructure, and economic hurdles need to be overcome for the widespread implementation of carbon-neutral fuels.


  • Open Access

    Harnessing water fleas for water reclamation: A nature-based tertiary wastewater treatment technology

    by Muhammad Abdullahi, Iestyn Stead, Sophie Bennett, Rafael Orozco, Mohamed Abou-Elwafa Abdallah, Sara Jabbari, Lynne E. Macaskie, Alexandra Tzella, Stefan Krause, Bushra Al-Duri, et al.