Superplastic Behavioral Characteristics of Fine-Grained 5A70 Aluminum Alloy
نویسندگان
چکیده
منابع مشابه
Superplasticity of a fine-grained Mg–1.5 wt% Gd alloy after severe plastic deformation
The strain rate sensitivity (SRS) of Mg–1.5 wt% Gd processed by conventional extrusion and 2 passes of simple shear extrusion (SSE) was investigated by shear punch testing. Shear punch tests were conducted at initial shear strain rates in the range of 0.003–0.3 s-1 and at temperatures in the range of 573–773 K. A fine-grained microstructure with an average grain size of about 2.5 µm, obtained a...
متن کاملSuperplastic Forming of Inconel Alloy 718spf
Superplasticforming (SPF) has become an important manufacturing method for aerospace and fuselage components. The basic reasons for the popularity of this process are reviewed and the compatibilityoffine-grained INCONELB alloy71 8SPF@ to superplasticforming are presented in this paper. The temperature limitations of current aluminum and titanium alloys employed in SPF parts for gas turbine comp...
متن کاملUltra-Fine Grained Dual-Phase Steels
This paper provides an overview on obtaining low-carbon ultra-fine grained dual-phase steels through rapid intercritical annealing of cold-rolled sheet as improved materials for automotive applications. A laboratory processing route was designed that involves cold-rolling of a tempered martensite structure followed by a second tempering step to produce a fine grained aggregate of ferrite and ca...
متن کاملAcoustic Characteristics of Fatigued Aluminum Alloy Using Ultrasonic Shear Waves
Cyclic-tension fatigue of aluminum alloy, Al-4Cu-1Mg, was determined by an analysis of diffracted SH and SV waves, passing through the surface and reflecting the bottom of the specimen, respectively. The internal friction of SV waves begins to increase from fatigue damage ratio(=N/Nf) of 0.5. This suggests increase of movable dislocation. From the analysis of SH waves, the logarithmic damping r...
متن کاملScalable fine-grained behavioral clustering of HTTP-based malware
A large number of today’s botnets leverage the HTTP protocol to communicate with their botmasters or perpetrate malicious activities. In this paper, we present a new scalable system for network-level behavioral clustering of HTTP-based malware that aims to efficiently group newly collected malware samples into malware family clusters. The end goal is to obtain malware clusters that can aid the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Metals
سال: 2019
ISSN: 2075-4701
DOI: 10.3390/met9010062