Results 11 to 20 of about 1,255 (146)
This study aims to explore the feasibility of using a structure inspired by the features of horsetail and human spine as the potential helmet liner, targeting at mitigation of acceleration‐induced injuries. A parametric study is conducted to investigate the effect of individual geometrical variables in the design, indicating its capability to reduce ...
Bing Leng+3 more
wiley +1 more source
A metallic implant's higher stiffness compared to the surrounding bone leads to stress shielding problems, causing bone density reduction and bone growth interference in pediatric patients. 3D‐printed triply periodic minimal surface structures present a promising engineering solution.
Ali Ebrahimzadeh Dehaghani+4 more
wiley +1 more source
Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach+8 more
wiley +1 more source
Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern+3 more
wiley +1 more source
Incorporating nanosized silver into titanium for antimicrobial materials exploits the metastable miscibility gap between silver and titanium. Silver nanoparticles are synthesized via pulsed laser ablation in liquid. Silver addition refines the microstructure, increases hardness by 30%, and reduces Staphylococcus capitis microbial adhesion by 70%, with ...
Hamed Shokri+4 more
wiley +1 more source
Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch+2 more
wiley +1 more source
Current Trends and Future Perspective for Cold Spray Metal‐Ceramic Composites
The use of cold spray (CS) technology for creating cermet deposits, combining ceramic and metallic components, is advancing rapidly. Cermets offer excellent temperature handling and erosion resistance for diverse applications. This review outlines the current state of the art, focusing on the deposition dynamics and strategies to optimize the ...
Romario A. Wicaksono+2 more
wiley +1 more source
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker+5 more
wiley +1 more source
Characterizations of the expanse of processes parameter combinations that can be used to minimize cracking and porosity while optimizing crystallization and hardness are used to assess laser processing of four glass‐forming alloys. The set of viable alloys for laser additive manufacturing is not the same as for suction casting; some alloys are common ...
Soumya Mohan+3 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source