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Showing 15 of 15 academic articles

Impact of biomass ash content on biocomposite properties

Xianhui Zhao, Oluwafemi Oyedeji, Erin Webb, Sanjita Wasti et al. • Composites Part C: Open Access (2022)

Owing to its low cost and sustainable nature, lignocellulosic biomass has been utilized for reinforcing polymers, but it is crucial to understand the impact of high-ash concentrations in biomass on composite strength and processing. Biomass...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jcomc.2022.100319

3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys

Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang et al. • Virtual and Physical Prototyping (2025)

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified,...

DOAJ Open Access (DOAJ) DOI: 10.1080/17452759.2025.2524524

Compression and Tensile Testing of L-PBF Ti-6Al-4V Lattice Structures with Biomimetic Porosities and Strut Geometries for Orthopedic Implants

Dimitri P. Papazoglou, Amy T. Neidhard-Doll, Margaret F. Pinnell, Dathan S. Erdahl et al. • Metals (2024)

In an effort to contribute to the ongoing development of ASTM standards for additively manufactured metal lattice specimens, particularly within the field of medicine, the compressive and tensile mechanical properties of biomimetic lattice ...

DOAJ Open Access (DOAJ) DOI: 10.3390/met14020232

High-temperature dielectric characterisation in the S-band using a solar simulator heated re-entrant microwave cavity and multiphysics modelling

Baptiste Henriot, Jesse Allens Touoyem Talla, Olivier Tantot, Nicolas Delhote et al. • Materials Research Express (2026)

This study presents a comprehensive system for the high-temperature microwave characterisation of dielectric materials. This system addresses the current scarcity of reliable dielectric data above 1000 °C, particularly under concentrated so...

DOAJ Open Access (DOAJ) DOI: 10.1088/2053-1591/ae86bb

Forecasting Warping Deformation Using Multivariate Thermal Time Series and K-Nearest Neighbors in Fused Deposition Modeling

Donghwan Song, Adrian Matias Chung Baek, Jageon Koo, Moise Busogi et al. • Applied Sciences (2020)

Over the past decades, additive manufacturing has rapidly advanced due to its advantages in enabling diverse material usage and complex design production. Nevertheless, the technology has limitations in terms of quality, as printed products...

DOAJ Open Access (DOAJ) DOI: 10.3390/app10248951

Exploring fibre addition methods and mechanical properties of fibre-reinforced 3D printed concrete: A review

Syed Bustan Fatima Warsi, Biranchi Panda, Pankaj Biswas • Developments in the Built Environment (2023)

3D Concrete Printing (3DCP) is a growing field of sustainable technology that offers an avenue for rapid industrialisation of the construction industry. Over the years, many non-structural elements have been fabricated by 3D printing, thus ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dibe.2023.100295

Developing a Framework for Using Molecular Dynamics in Additive Manufacturing Process Modelling

Panagiotis Stavropoulos, Vasiliki Christina Panagiotopoulou • Modelling (2022)

Additive Manufacturing (AM), or else Smart Manufacturing, has been an intrinsic concept in Industry 4.0, offering flexibility and material efficiency. Certain limitations prevent AM from being used in the industrial setting extensively, des...

DOAJ Open Access (DOAJ) DOI: 10.3390/modelling3010013

Effect of chemical treatment on the mechanical and thermal performance of flax fiber reinforced aluminium 6082 laminate: a machine learning-enhanced investigation

M. Vinod, B. S. Nithyananda, Shrishail B. Sollapur, Satish Gajbhiv et al. • Scientific Reports (2026)

Abstract This work examined the role of alkaline and epoxy-based surface chemical treatments on the mechanical and thermal properties of flax fiber reinforced Aluminum Alloy 6082 hybrid Fiber Metal Laminates (FMLs), integrated with machine ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-58852-w

Exploring a Novel Material and Approach in 3D-Printed Wrist-Hand Orthoses

Diana Popescu, Mariana Cristiana Iacob, Cristian Tarbă, Dan Lăptoiu et al. • Journal of Manufacturing and Materials Processing (2024)

This article proposes the integration of two novel aspects into the production of 3D-printed customized wrist-hand orthoses. One aspect involves the material, particularly Colorfabb varioShore thermoplastic polyurethane (TPU) filament with ...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmmp8010029

4D printing of semi-crystalline crosslinked polymer networks with two-way shape-memory effect

Lorenzo Bonetti, Daniele Natali, Stefano Pandini, Massimo Messori et al. • Materials & Design (2024)

This paper introduces a novel approach to 4D printing tailored structures with reversible two-way shape-memory effect (SME) through material extrusion technology. To this aim, methacrylated poly(ε-caprolactone) (PCL) was synthesized and eva...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.matdes.2024.112725

Toward Automated Structural Design for Controlled Vibration Characteristics Using Topology Optimization and Computer Vision in Space Missions

Musaddiq Al Ali, Masatoshi Shimoda, Marc Naguib • Applied Sciences (2024)

This study explores the integration of computer vision with topology optimization for additive manufacturing, with a focus on maximizing eigenfrequency in a design domain. Utilizing custom-developed photogrammetry software, high-resolution ...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14156786

Learning metal microstructural heterogeneity through spatial mapping of diffraction latent space features

Mathieu Calvat, Chris Bean, Dhruv Anjaria, Hyoungryul Park et al. • npj Computational Materials (2025)

Abstract To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced representation of metal microstructures that surpasses the limitations of current physics-b...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-025-01770-8

Machine Learning‐Driven Biomaterials Evolution

Ady Suwardi, Fuke Wang, Kun Xue, Ming‐Yong Han et al. • Advanced Materials (2021)

Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to achieve desired biological responses. While there is constant evolution and innovation in materials with time, biomaterials research has been ham...

OPENALEX DOI: https://doi.org/10.1002/adma.202102703