All Outputs (646)

Introduction (2023)
Book Chapter
Harper, L., & Clifford, M. (2023). Introduction. In Design and Manufacture of Structural Composites (3-17). Elsevier. https://doi.org/10.1016/b978-0-12-819160-6.00009-3

Fibre-reinforced polymer composites are acknowledged to offer some of the highest specific properties (stiffness, strength) of any engineering materials, but this chapter takes a look at why these materials are not more widely adopted for general str... Read More about Introduction.

Design and Manufacture of Structural Composites (2023)
Book
Harper, L., & Clifford, M. (Eds.). (2023). Design and Manufacture of Structural Composites. Elsevier. https://doi.org/10.1016/c2018-0-05165-8

Design and Manufacture of Structural Composites provides an overview of the main manufacturing challenges encountered when processing fibre-reinforced composite materials. Composites are unique in that the material is created at the same time as the... Read More about Design and Manufacture of Structural Composites.

Cost, rate, and robustness (2023)
Book Chapter
Hancock, S., & Harper, L. (2023). Cost, rate, and robustness. In Design and Manufacture of Structural Composites (447-471). Elsevier. https://doi.org/10.1016/B978-0-12-819160-6.00022-6

This chapter outlines the most important considerations for the economic evaluation of composites, as assessing both cost and performance in parallel is critical for designing and manufacturing efficient applications. The cost of raw materials is oft... Read More about Cost, rate, and robustness.

Two-dimensional to three-dimensional dry fibre preforming (2023)
Book Chapter
Chen, S., & Harper, L. (2023). Two-dimensional to three-dimensional dry fibre preforming. In Design and Manufacture of Structural Composites (101-123). Elsevier. https://doi.org/10.1016/B978-0-12-819160-6.00005-6

Preforming is the process of converting two-dimensional (2D) intermediate fibre products, such as fabrics and mats, into complex three-dimensional (3D) shapes to resemble the geometry of the final component. Preforming is a necessary step for all liq... Read More about Two-dimensional to three-dimensional dry fibre preforming.

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, Article 108420. https://doi.org/10.1016/j.jobe.2023.108420

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

Inverse design of shape-morphing structures based on functionally graded composites (2023)
Conference Proceeding
Kansara, H., Liu, M., He, Y., & Tan, W. (2023). Inverse design of shape-morphing structures based on functionally graded composites. In B. Falzon, & C. McCarthy (Eds.), Proceedings of the 23rd International Conference on Composite Materials

Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning (2023)
Journal Article
Torayev, A., Abadia, J. J. P., Martínez-Arellano, G., Cuesta, M., Chaplin, J. C., Larrinaga, F., …Ratchev, S. (2023). Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning. Procedia CIRP, 120, 986-991. https://doi.org/10.1016/j.procir.2023.09.112

In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing configurations are those that minim... Read More about Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning.

Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics (2023)
Journal Article
Rigby, S. P., & Alsayah, A. (2024). Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics. Energies, 17(1), Article 211. https://doi.org/10.3390/en17010211

This paper reviews and evaluates work on the structural complexity of the potential carbon dioxide storage sites in the North Sea, including the nature of the reservoir structures, the reservoir rocks, the presence of inter-layers, faults, and fractu... Read More about Storage Sites for Carbon Dioxide in the North Sea and Their Particular Characteristics.

Nano-Scale Engineering of Heterojunction for Alkaline Water Electrolysis (2023)
Journal Article
Chen, Y., Xu, Z., & Chen, G. Z. (2024). Nano-Scale Engineering of Heterojunction for Alkaline Water Electrolysis. Materials, 17(1), Article 199. https://doi.org/10.3390/ma17010199

Alkaline water electrolysis is promising for low-cost and scalable hydrogen production. Renewable energy-driven alkaline water electrolysis requires highly effective electrocatalysts for the hydrogen evolution reaction (HER) and the oxygen evolution... Read More about Nano-Scale Engineering of Heterojunction for Alkaline Water Electrolysis.

Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications (2023)
Conference Proceeding
Riccio, J., Karamanakos, P., Degano, M., Gerada, C., & Zanchetta, P. (2023). Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications. In 2023 IEEE Energy Conversion Congress and Exposition (ECCE) (4995-5002). https://doi.org/10.1109/ECCE53617.2023.10362110

This paper introduces a novel geometric approach to significantly reduce the computational burden of modulated predictive controllers while maintaining the same steady-state performance and satisfactory dynamic behavior. The proposed geometric method... Read More about Reduced Computational Burden of Modulated Model-Predictive Control for Synchronous Reluctance Motor Drive Applications.

Design and Controllability Trade-Off in Dual Three-Phase Winding PMSMs (2023)
Conference Proceeding
Zhu, S., Qayyum, N., Ernest, E., Paciura, K., Zou, T., & Gerada, C. (2023). Design and Controllability Trade-Off in Dual Three-Phase Winding PMSMs. In 2023 IEEE Energy Conversion Congress and Exposition (ECCE) (4147-4154). https://doi.org/10.1109/ecce53617.2023.10361990

Designing and controlling dual three-phase motor poses significant challenges. The conventional mathematical model of such motors only considers fundamental components, thereby failing to capture the complete characteristics of the motors. In this st... Read More about Design and Controllability Trade-Off in Dual Three-Phase Winding PMSMs.

Light environment control for reducing energy loss and increasing crop yield in plant factories (2023)
Journal Article
Zou, H., Li, C., Zhang, A., Zhang, X., Chen, X., Wang, F., …Zhang, S. (2024). Light environment control for reducing energy loss and increasing crop yield in plant factories. Solar Energy, 268, Article 112281. https://doi.org/10.1016/j.solener.2023.112281

Energy utilization for plant lighting is one of the primary constraints of the development of plant factories. Most researchers overlook the impact of energy attenuation during the propagation process on energy efficiency utilization, and the redistr... Read More about Light environment control for reducing energy loss and increasing crop yield in plant factories.

Collagen-like Osteoclast-Associated Receptor (OSCAR)-Binding Motifs Show a Co-Stimulatory Effect on Osteoclastogenesis in a Peptide Hydrogel System (2023)
Journal Article
Vitale, M., Ligorio, C., Richardson, S. M., Hoyland, J. A., & Bella, J. (2023). Collagen-like Osteoclast-Associated Receptor (OSCAR)-Binding Motifs Show a Co-Stimulatory Effect on Osteoclastogenesis in a Peptide Hydrogel System. International Journal of Molecular Sciences, 25(1), Article 445. https://doi.org/10.3390/ijms25010445

Osteoclastogenesis, one of the dynamic pathways underlying bone remodelling, is a complex process that includes many stages. This complexity, while offering a wealth of therapeutic opportunities, represents a substantial challenge in unravelling the... Read More about Collagen-like Osteoclast-Associated Receptor (OSCAR)-Binding Motifs Show a Co-Stimulatory Effect on Osteoclastogenesis in a Peptide Hydrogel System.

Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data (2023)
Journal Article
Zhang, R., Zhou, T., Ye, H., & Darkwa, J. (2024). Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data. Energy and Buildings, 304, Article 113854. https://doi.org/10.1016/j.enbuild.2023.113854

In the context of growing concerns over energy consumption and sustainability, accurate modelling of occupancy patterns within residential buildings is critical. In this study, a novel stochastic occupancy model is introduced for simulating human beh... Read More about Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data.

A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services (2023)
Journal Article
Rehman, H. U., Mo, F., Chaplin, J. C., Zarzycki, L., Jones, M., & Ratchev, S. (2024). A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services. Journal of Manufacturing Systems, 72, 424-436. https://doi.org/10.1016/j.jmsy.2023.12.004

The increasing demand for personalized products and cost-effectiveness has highlighted the necessity of integrating intelligence into production systems. This integration is crucial for enabling intelligent control that can adapt to variations in fea... Read More about A modular artificial intelligence and asset administration shell approach to streamline testing processes in manufacturing services.

Building Information Modeling and Lean Construction (2023)
Book Chapter
Koskela, L., Talebi, S., Tezel, A., & Tzortzopoulos, P. (2023). Building Information Modeling and Lean Construction. In Building Information Modeling: Shared Modeling, Mutual Data, the New Art of Building (121-146). Wiley. https://doi.org/10.1002/9781394264933.ch6

The recognition of the connection between building information modeling (BIM) and Lean Construction is relatively recent. This chapter provides an overview and analysis on the connection between BIM and Lean. It discusses the contributions of BIM to... Read More about Building Information Modeling and Lean Construction.

Exploring the Utilisation of Natural Biosorbents for Effective Methylene Blue Removal (2023)
Journal Article
Güleç, F., Williams, O., Samson, A., Kostas, E., Stevens, L. A., & Lester, E. (2023). Exploring the Utilisation of Natural Biosorbents for Effective Methylene Blue Removal. Applied Sciences, 14(1), Article 81. https://doi.org/10.3390/app14010081

This paper presents a comprehensive analysis of the adsorbent capacity of five distinctly different biosorbents derived from untreated biomasses. The optimal adsorption capacity of seaweed (Laminaria digitata), horse chestnut husk, hazelnut husk, rap... Read More about Exploring the Utilisation of Natural Biosorbents for Effective Methylene Blue Removal.

A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape (2023)
Journal Article
Fuentes-Peñailillo, F., Ortega-Farías, S., Acevedo-Opazo, C., Rivera, M., & Araya-Alman, M. (2024). A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape. Sensors, 24(1), Article 25. https://doi.org/10.3390/s24010025

The Scholander-type pressure chamber to measure midday stem water potential (MSWP) has been widely used to schedule irrigation in commercial vineyards. However, the limited number of sites that can be evaluated using the pressure chamber makes it dif... Read More about A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape.

Evaluation of ammonia-gasoline co-combustion in a modern spark ignition research engine (2023)
Journal Article
Ambalakatte, A., Geng, S., Cairns, A., Harrington, A., Hall, J., & Bassett, M. (2023). Evaluation of ammonia-gasoline co-combustion in a modern spark ignition research engine. Carbon Neutrality, 2(1), Article 35. https://doi.org/10.1007/s43979-023-00075-3

Ammonia (NH3) is emerging as a potential favoured fuel for longer range decarbonised heavy transport, particularly in the marine sector, predominantly due to highly favourable characteristics as an effective hydrogen carrier. This is despite generall... Read More about Evaluation of ammonia-gasoline co-combustion in a modern spark ignition research engine.

Correction to “Apoferritin-Encapsulated Jerantinine A for Transferrin Receptor Targeting and Enhanced Selectivity in Breast Cancer Therapy” (2023)
Journal Article
Abuzaid, H., Abdelrazig, S., Ferreira, L., Collins, H. M., Kim, D., Lim, K., …Bradshaw, T. D. (2024). Correction to “Apoferritin-Encapsulated Jerantinine A for Transferrin Receptor Targeting and Enhanced Selectivity in Breast Cancer Therapy”. ACS Omega, 9(1), Article 2012. https://doi.org/10.1021/acsomega.3c09291

Neil R. Thomas was added as an author. The change in authorship is reflected in the authorship of this Correction.