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Tough love

ARS (São Paulo), 2005
O texto a seguir apresenta a contribuição de Yve-Alain Bois ao colóquio “Hubert Damisch, l’art au travail”, organizado em homenagem ao autor de Théorie du nuage, em Paris, pelo Institut National d’Histoire de l’Art, nos dias 8 e 9 de novembro de 2013. O relato rememora o convívio de Bois com Hubert Damisch e Roland Barthes, autores cujos seminários ele
openaire   +5 more sources

Shape optimisation of rim structure of aluminium alloy car wheels based on 90° impact test

Scientific Reports
Automotive wheels are critical components for vehicular safety, with the rim subjected primarily to radial bending loads during operation. Balancing rim thickness and structural integrity under these loading conditions is imperative.
Guangdong Zhang, Shike Tao, Yangyang Zhou, Zhen Ye, Jianjun Lu, Risheng Li, Shihui Li, Linzhen Zhou, Tong Deng   +8 more
doaj   +1 more source

Review on Quantum Mechanically Guided Design of Ultra-Strong Metallic Glasses

Frontiers in Materials, 2020
Quantum mechanically guided materials design has been used to predict the mechanical property trends in crystalline materials. Thereby, the identification of composition-structure-property relationships is enabled. However, quantum mechanics based design
Simon Evertz, Volker Schnabel, Mathias Köhler, Ines Kirchlechner, Paraskevas Kontis, Yen-Ting Chen, Rafael Soler, B. Nagamani Jaya, Christoph Kirchlechner, Denis Music, Baptiste Gault, Baptiste Gault, Jochen M. Schneider, Dierk Raabe, Gerhard Dehm   +14 more
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Numerical simulation on 90° impact test of aluminium alloy wheel with the effect of tyre

Scientific Reports
Car wheels are crucial to automobile safety, requiring a rigorous test before production. A 90° impact test simulates the frontal impact and its influences on the wheel structure, replicating dynamic driving conditions.
Guangdong Zhang, Shike Tao, Yangyang Zhou, Jianjun Lu, Risheng Li, Shihui Li, Linzhen Zhou, Tong Deng   +7 more
doaj   +1 more source

Experimental Investigation on Toughness of SFRC and Bond Behavior with Reinforcing Bars

Buildings
Steel-fiber reinforced concrete (SFRC) has the advantages of high strength, durability, and crack prevention ability. Studies on the compressive strength, tensile strength and flexural behavior of SFRC have been carried out by many researchers.
Hongmei Zhang, Zizhao Tang, Jinguang Li, Zheming Hu, Qian Feng   +4 more
doaj   +1 more source

Robocasting of a Water‐Based Biopolymer/WO3 Nanopowder Paste as a Precursor to Tungsten Carbide Lattices

Advanced Engineering Materials, EarlyView.
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis, Manasi Shah, Sanketh Gombi, Rodrigo Martinez‐Duarte   +3 more
wiley   +1 more source

Algorithms to Estimate the Ductile to Brittle Transition Temperature, Upper Shelf Energy, and Their Uncertainties for Steel Using Charpy V-Notch Shear Area and Absorbed Energy Data

Metals, 2023
Toughness and the transition from ductile to brittle behavior are long-standing concerns for applications of ferritic steel such as line-pipe. Three algorithms have been developed to fit a hyperbolic tangent curve to any Charpy V-notch dataset and ...
Nathaniel T. Switzner, Joel Anderson, Lanya Ali Ahmed, Michael Rosenfeld, Peter Veloo   +4 more
doaj   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source