Results 51 to 60 of about 35,342 (237)

Toughness and microstructural factors of Ti6Al4V alloy

open access: yesMaterials Science and Engineering, 1986
Abstract The instrumented Charpy impact test, the dynamic fracture toughness test and the static fracture toughness test using the DC electrical potential method were carried out on Ti6Al4V alloys. Ti6Al4V alloys with various microstructures were used to investigate the relation between microstructural factors, including fractographic ...
Mitsuo NIINOMI   +2 more
openaire   +2 more sources

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

open access: yesAdvanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias   +4 more
wiley   +1 more source

Eradicating Brittleness of Ti-6Al-4V/Cu Dissimilar Brazed Joint using a Nb Diffusion Barrier [PDF]

open access: yesArchives of Metallurgy and Materials
Directly brazing titanium (Ti) alloy and copper (Cu) using silver (Ag) based filler alloy has been recognized to be of limited success owing to the embrittlement of intermetallic compounds (IMCs) presented at joint interface. In the current investigation,
F.L. Wang, L. Bai, H. Yin
doaj   +1 more source

Assessment of Ti-6Al-4V particles as a reinforcement for AZ31 magnesium alloy-based composites to boost ductility incorporated through friction stir processing

open access: yesJournal of Magnesium and Alloys, 2022
Poor ductility is the primary concern of magnesium matrix composites (MMCs) inflicted by non-deformable ceramic particle reinforcements. Metal particles which melt at elevated temperature can be used as reinforcement to improve the deformation ...
Isaac Dinaharan   +3 more
doaj   +1 more source

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng   +8 more
wiley   +1 more source

Evaluation of corrosion behavior of bioceramics coated commercially pure titanium and Ti-6Al-4V alloy

open access: yesJournal of Baghdad College of Dentistry, 2014
Background: This study report the corrosion behavior of commercially pure titanium and Ti-6Al-4V alloy samples without coating and with hydroxyapatite, partial stabilized zirconia and mixture of partial stabilized zirconia and hydroxyapatite coating and ...
Hanan Ali   +2 more
doaj  

Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures

open access: yesAdvanced Science, EarlyView.
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong   +16 more
wiley   +1 more source

CREEP BEHAVIOR OF TI-6AL-4V WITH MARTENSITIC AND EQUIAXED STRUCTURES AT 600°C [PDF]

open access: yesTecnologia em Metalurgia, Materiais e Mineração, 2013
Ti-6Al-4V presents important properties as high specific strength, corrosion and creep resistance and metallurgical stability and it has been used in aerospace and aeronautical industries in some applications that requires high temperatures resistance.
Luciana Aparecida Narciso da Silva Briguent   +4 more
doaj   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

open access: yesAdvanced Intelligent Systems, EarlyView.
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese   +4 more
wiley   +1 more source

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