Results 61 to 70 of about 46,974 (218)
Effect of the Ti-6Al-4V alloy specimens crystal lattice curvature within surface layers on fatigue failure mechanisms [PDF]
In the present work the role of the crystal lattice curvature in fatigue failure of Ti-6Al-4V alloy specimens was discussed. The effect of the specimens ultrasonic treatment and further electrolytic hydrogenation on their fatigue properties was revealed.
Бордулёв, Юрий Сергеевич +2 more
core +2 more sources
Comparisons of interface microstructure and mechanical behavior between Ti/Al and Ti-6Al-4V/Al bimetallic composites [PDF]
The microstructure, interface thickness, element distribution and interfacial mechanical behavior of Ti-6Al-4V/Al couples prepared by an insert moulding method were investigated in depth in this paper.
Xin-yu Nie +2 more
doaj
Synthesizing Ti–Ni Alloy Composite Coating on Ti–6Al–4V Surface from Laser Surface Modification
In this work, a Ni-alloy Deloro-22 was laser-deposited on a Ti–6Al–4V bar substrate with multiple sets of laser processing parameters. The purpose was to apply laser surface modification to synthesize different combinations of ductile TiNi and hard Ti2Ni
Yitao Chen +2 more
doaj +1 more source
Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures
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
Experimental investigation of process parameters for WEDM of Ti-6Al-4V/TiN composites
Ti-6Al-4V alloys are difficult-machine materials. These alloys are extensively used in medicine, chemical units, marine and food industries, and particularly in the aerospace industry. Machinability of Ti-6Al-4V in wire electric discharge machining (WEDM)
Urtekin Levent
doaj +1 more source
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
Eradicating Brittleness of Ti-6Al-4V/Cu Dissimilar Brazed Joint using a Nb Diffusion Barrier [PDF]
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
بررسی رفتار خوردگی ایمپلنت Ti-6Al-4V پوشش داده شده با نانولایه تانتالوم برای کاربردهای پزشکی [PDF]
در این تحقیق نانولایه تانتالوم با ضخامت nm200 به روش رسوب فیزیکی بخار (PVD) با پرتو الکترونی بر روی سطح زیرلایه Ti-6Al-4V به منظور بهبود خواص سطحی و خوردگی پوشش داده شد.
محبوبه محمودی +2 more
doaj +1 more source
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
Herein, AlCoCrFeNi2.1 is selected to produce lattice structures by selective laser melting. The as‐printed lattice structures consist of numerous colonies of nanosized eutectic lamellar structures which are bent and interwind with each other to form a woven microstructure. The unique microstructure leads to unprecedented effective metal strength, yield
Zhiyong Ji +6 more
wiley +1 more source

