Response of the al Σ5 〈001〉 left {310} symmetric tilt grain boundary to the shear deformation simulated by molecular dynamics

In the present study, shear response of the Al [001] symmetrical tilting Σ5 (310) grain boundary (GB) was investigated by a three dimensional bicrystal at 500~750 K. It was found that the GB gradually rotated around the [001] tilt axis during the shear deformation due to the combination of surface strain, GB sliding and GB coupled motion. These rotated grain boundaries were Σ5 asymmetrical or symmetrical tilt grain boundaries and led to the normal stress σxx in the bicrystal system. It was also found that the response of the grain boundary to the shear deformation was closely related to the temperatures. At lower temperature (500~650 K), further shear deformation was mediated by crack initiation or dislocation release which is closely related to the local stress condition and temperature etc. The lattice dislocations emitted from GB were identified as pure edge dislocations with Burgers vectors of 〈110〉/2. Interestingly, they have the [001] line direction and glide on the left curly bracket110right curly bracket planes. The reaction between grain boundary and lattice dislocations has been carefully discussed with its role in the shear deformation. At higher temperatures (above 700 K), after a short while of perfect coupling at the early stage the grain boundary quickly rotated and the two grains smoothly slid away from each other in the way of viscous grain boundary sliding under the shear deformation. 2014 by American Scientific Publishers

A dual deformation mechanism of grain boundary at different stress stages

Molecular dynamics (MD) simulation with embedded-atom method (EAM) potential was carried out to study the structure and shear response of an asymmetric tilt grain boundary in copper bicrystal. A non-planar structure with dissociated intrinsic stacking faults was observed in the grain boundary. Simulation results show that this type of structure can significantly increase the ductility of the simulation sample under shear deformation. A dual deformation mechanism of the grain boundary was observed; the grain boundary can be a source of dislocation emission and migrate itself at different stress stages. The result of this study can provide further information to understand the grain boundary mediated plasticity in nanocrystalline materials

Microstructure and mechanical properties of AA5005/AA6061 laminated composite processed by accumulative roll bonding

ULTRAFINE-GRAINED (UFG) materials have been gathering much interest for the last two decades as the materials have extraordinary mechanical properties such as high strength, low temperature superplastisity, and high corrosion resistance. Severe plastic deformation (SPD) is the most widely used method to produce UFG materials. Accumulative roll bonding (ARB) has become one of the most important SPD techniques since it was first introduced by Saito et al.[1] As the same equipment as in conventional rolling is used, ARB is considered to be one of the most promising methods for manufacturing UFG sheet materials

Friction and anti-wear property of aqueous tri-block copolymer solutions in metal forming

Friction and anti-wear property of aqueous symmetrical tri-block normal PEOm-PPOn-PEOm and reverse PPOn-PEOm-PPOn copolymer solutions have been studied. The study focuses on the effect of the solution bulk temperatures and the copolymer block structures. It was found that the concentration and the length of the copolymer blocks affect the solution cloud points, friction and anti-wear property. When solution was supplied at bulk temperature above their cloud point, aqueous copolymer solutions were not able to develop effective adsorbed film resulting in high friction and severe wear. When the bulk temperatures were below the cloud point, the anti-wear property improved significantly and the dynamic friction is lower than that when the temperatures were above the cloud point. This demonstrates the importance of the supply temperature of this type of lubricant in metal forming. However by adding ethyl phosphate ester to the copolymer solutions further improved friction reducing property of the solutions was observed and the friction and anti-wear property of the lubricant become insensitive to bulk temperature. In the effort to understand the lubrication mechanism of the aqueous solutions, wear tracks were studied using scanning electron microscope (SEM) and atomic force microscope (AFM), and the surface wetting ability via contact angle measurements

Influence of loading conditions during tensile testing on acoustic emission

The Acoustic Emission (AE) monitoring technique is widely used in mechanical and material research for detection of plastic deformation, fracture initiation and crack growth. However, the influence of AE features (such as signal amplitude, frequency, rise time and duration) on the fracture parameters (such as brittle or ductile mode of propagation and fracture propagation speed) is not completely understood. In this paper, the effect of loading conditions on fracture behavior was studied using AE monitoring during tensile testing of an aluminum alloy specimen. The fracture development was observed using a high speed video camera and was analyzed using the finite element method. The hardware and software produced by Physical Acoustics Corporation (USA) was used. Variations in AE parameters were analyzed and correlated to the stress-Strain curves obtained during testing. It is shown that the strain rate and the presence of a crack (modeled by a notch on the sample), affect the fracture mode (brittle or ductile) and a relative amount of the mode dependent AE signatures

Circular domain features based condition monitoring for low speed slewing bearing

This paper presents a novel application of circular domain features calculation based condition monitoring method for low rotational speed slewing bearing. The method employs data reduction process using piecewise aggregate approximation (PAA) to detect frequency alteration in the bearing signal when the fault occurs. From the processed data, circular domain features such as circular mean, circular variance, circular skewness and circular kurtosis are calculated and monitored. It is shown that the slight changes of bearing condition during operation can be identified more clearly in circular domain analysis compared to time domain analysis and other advanced signal processing methods such as wavelet decomposition and empirical mode decomposition (EMD) allowing the engineer to better schedule the maintenance work. Four circular domain features were shown to consistently and clearly identify the onset (initiation) of fault from the peak feature value which is not clearly observable in time domain features. The application of the method is demonstrated with simulated data, laboratory slewing bearing data and industrial bearing data from Coal Bridge Reclaimer used in a local steel mill

Excellent melt lubrication of alkali metal polyphosphate glass for high temperature applications

A new class of high temperature lubricant of inorganic alkali metal polyphosphate was developed for hot metal forming, which involved a fundamental knowledge of melt lubrication. At elevated temperature a 55% reduction in friction and a 50% decrease in wear were achieved by the presence of the molten polyphosphate lubrication, as well as the excellent anti-oxidation capability at the rubbing steel/steel interface, which closely correlated with the tribo-induced hierarchical structure at the rubbing interface. This inorganic polyphosphate lubricant can be called a smart polymeric material, which will be an eco-friendly alternative for high temperature applications. This journal i

Analysing the merit of latent variables over traditional objective attributes for traveller mode choice using RPL model

In real life, the attributes that influence individual choice may be complex. The traditional objective attributes can be incorporated easily into choice models. However, there are also latent preference heterogeneities that are of ten overlooked by the traditional thinkers of transport planners. This paper deals with this issue firstly by testing the adequacy of objective attributes representing latent variables (LVs). It then quantifies the effect of LVs over objective attributes on traveller mode choice using the random parameter logit (RPL) model. Understanding these attributes is essential if transport agencies are to understand traveller behaviour when determining effective transport policies. This paper emphasises travellers\u27 LVs along with objective attributes during the mode choice process as a method by which the utility of the traveller can be maximised. Thus the issue of utility function is raised and evaluated using a discrete choice experiment, i.e. RPL model. An empirical study was carried out in the context of traveller behaviour in the Sydney Statistical Division (SSD). We consider six LVs and thirteen objective attributes to analyse the importance/merits of LVs over objective attributes in traveller mode choice. The results show that indicators of LVs and traveller choice attributes are found to be significant, while objective attributes show a very minimal (0% to 10% on average) capacity to reflect LVs in traveller choice processes. LVs are found to be more influential than objective attributes on the mode choice made by travellers and our results also show that hybrid RPL is superior to traditional RPL models that ignore the effect of LVs. Our results support the contention that latent factors are important in traveller mode choice in ways that are relevant to transportation planners and policy-makers. Although possibly not directly susceptible to policy intervention, a better understanding of these relationships is useful for decision makers and transportation planners when designing and developing sustainable transportation policies or projects for the city dwellers

A new insight into ductile fracture of ultrafine-grained Al-Mg alloys

It is well known that when coarse-grained metals undergo severe plastic deformation to be transformed into nano-grained metals, their ductility is reduced. However, there are no ductile fracture criteria developed based on grain refinement. In this paper, we propose a new relationship between ductile fracture and grain refinement during deformation, considering factors besides void nucleation and growth. Ultrafine-grained Al-Mg alloy sheets were fabricated using different rolling techniques at room and cryogenic temperatures. It is proposed for the first time that features of the microstructure near the fracture surface can be used to explain the ductile fracture post necking directly. We found that as grains are refined to a nano size which approaches the theoretical minimum achievable value, the material becomes brittle at the shear band zone. This may explain the tendency for ductile fracture in metals under plastic deformation.The authors gratefully acknowledge the financial support from the Vice-Chancellor’s Fellowship Grant and URC small grant at the University of Wollongong

A new insight into ductile fracture of ultrafine-grained Al-Mg alloys

It is well known that when coarse-grained metals undergo severe plastic deformation to be transformed into nano-grained metals, their ductility is reduced. However, there are no ductile fracture criteria developed based on grain refinement. In this paper, we propose a new relationship between ductile fracture and grain refinement during deformation, considering factors besides void nucleation and growth. Ultrafine-grained Al-Mg alloy sheets were fabricated using different rolling techniques at room and cryogenic temperatures. It is proposed for the first time that features of the microstructure near the fracture surface can be used to explain the ductile fracture post necking directly. We found that as grains are refined to a nano size which approaches the theoretical minimum achievable value, the material becomes brittle at the shear band zone. This may explain the tendency for ductile fracture in metals under plastic deformation