Results 171 to 180 of about 2,251,793 (347)

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

Advanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek, Eduard Ortlieb, Caner‐Veli Ince, Julius Peddinghaus, Hendrik Wester, Johanna Uhe, Annika Raatz, Kai Brunotte   +7 more
wiley   +1 more source

Localization and shear bands in high strain-rate plasticity [PDF]

, 2011
A Molinari, AE Tzavaras, AE Tzavaras, AE Tzavaras, C Fressengeas, C Zener, CM Dafermos, DJ Estep, JA Dilellio, JW Walter, KA Hartley, M Bertsch, RJ Clifton, T Katsaounis, TW Wright, TW Wright, TW Wright   +16 more
core   +1 more source

Deformation of Polycrystalline Iron at High Strain Rates

, 1969
Norio Nagata, Susumu Yoshida, Yasuhiro Sekino   +2 more
openalex   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Tensile Properties of Copper as Function of Strain Rate (Study on the Dependence of Mechanical Properties of Metals upon the Strain Rate, 6th Report)

, 1968
Masanobu Ohmori, Yoshitoyo Yoshinaga, Hideyo Maniwa   +2 more
openalex   +2 more sources

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

High Strain Rate Response of Adhesively Bonded Fiber-Reinforced Composite Joints A Computational Study to Guide Experimental Design [PDF]

Adhesively bonded carbon fiber-reinforced epoxy composite laminates are widely used in aerospace applications. During a high energy impact event, these laminates are often subjected to high strain rate loading.
Justusson, Brian, Kidane, Addis, Pang, Jenna, Ravindran, Suraj, Sockalingam, Subramani, Sutton, Michael   +5 more
core   +1 more source

Strain Rate and Temperature Dependence of the Flow Stress of Copper-Manganese Dilute Alloy Single Crystals

, 1968
Norio Nagata, Susumu Yoshida
openalex   +2 more sources

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source

Dependence of the Tensile Properties of Crystalline Polymer on Strain Rate and Temperature I

, 1961
Tatsuro Kawaguchi
openalex   +2 more sources