Numerical modeling of dual phase microstructure behavior under deformation conditions on the basis of digital material representation

Development of a digital material representation (DMR) model of dual phase steel is presented within the paper. Subsequent stages involving generation of a reliable representation of microstructure morphology, assignment of material properties to component phases and incorporation of the model into the commercial finite element software are described within the paper. Different approaches used to recreate dual phase morphology in a digital manner are critically assessed. However, particular attention is placed on innovative identification of phase properties at the micro scale by using micro-pillar compression tests. The developed DMR model is finally applied to model influence of micro scale features on failure initiation and propagation under loading conditions.

Uncertainty handling using neural network-based prediction intervals for electrical load forecasting

The complexity and level of uncertainty present in operation of power systems have significantly grown due to penetration of renewable resources. These complexities warrant the need for advanced methods for load forecasting and quantifying uncertainties associated with forecasts. The objective of this study is to develop a framework for probabilistic forecasting of electricity load demands. The proposed probabilistic framework allows the analyst to construct PIs (prediction intervals) for uncertainty quantification. A newly introduced method, called LUBE (lower upper bound estimation), is applied and extended to develop PIs using NN (neural network) models. The primary problem for construction of intervals is firstly formulated as a constrained single-objective problem. The sharpness of PIs is treated as the key objective and their calibration is considered as the constraint. PSO (particle swarm optimization) enhanced by the mutation operator is then used to optimally tune NN parameters subject to constraints set on the quality of PIs. Historical load datasets from Singapore, Ottawa (Canada) and Texas (USA) are used to examine performance of the proposed PSO-based LUBE method. According to obtained results, the proposed probabilistic forecasting method generates well-calibrated and informative PIs. Furthermore, comparative results demonstrate that the proposed PI construction method greatly outperforms three widely used benchmark methods. © 2014 Elsevier Ltd.

Numerical investigation of influence of the Martensite Volume Fraction on dp steels fracture behavior on the basis of digital material representation model

Development of the methodology for creating reliable digital material representation (DMR) models of dual-phase steels and investigation of influence of the martensite volume fraction on fracture behavior under tensile load are the main goals of the paper. First, an approach based on image processing algorithms for creating a DMR is described. Then, obtained digital microstructures are used as input for the numerical model of deformation, which takes into account mechanisms of ductile fracture. Ferrite and martensite material model parameters are evaluated on the basis of micropillar compression tests. Finally, the model is used to investigate the impact of the martensite volume fraction on the DP steel behavior under plastic deformation. Results of calculations are presented and discussed in the paper.

Incorporating new technology into the delivery of property education

Property education has changed substantially in Australia in recent years. Whilst there has been an increase in the number of courses being offered in property education, the profile of a typical student has also changed. Property students are under increasing pressure to balance study and work due to the higher cost of living and the associated cost of education. This in turn has placed pressure on the education system to deliver property in a manner which meets the needs of the industry and the students. At the same time, there has been a marked increase in the use of technology in the business and corporate world which has resulted in increased efficiencies. This paper critiques the potential for a property education course to embrace new technology rather than 100% face-to-face teaching and only paper-based assignments. The focus is placed on the delivery of material and the interaction between the students, the lecturing staff and the wider community. Using the new Deakin property course as a case study approach, the emphasis is placed on pushing the boundaries of the conventional property education process, including the delivery of property lectures, assignment submission and assessment, as well as the overall communication process. The findings conclude that by embracing technology in a property course, there can be a 'win-win' scenario for the students, the staff and the industry stakeholders. Whilst different property courses embrace varying levels of technology, it seems inevitable that we must continue to evolve the delivery of property education in order to become efficient and effective over the long-term.

The unstable print: Material challenges in printmaking and the moving image

The past few years have seen an emergence of printmakers motivated by moving-image technology to use print as performative creative practice; in film and animation, as installation and in various processes of thinking and production. Notions of movement and change that could be said to identify much of our contemporary world reflect the interests of a number of printmakers who utilize printmaking characteristics of multiplicity and reproduction by integrating the digital and the handmade within the moving-image. There seems to be a restlessness by some artists who wish to explore an unbounded, experimental approach to printmaking; perhaps it is a natural progression for printmakers to relate their processes of thinking and production to concepts of frame-by-frame production – to additive and subtractive methods, multiple imagery and the reproduced or copy. But what happens when printmaking that has entered the realm of multimedia technology returns to the physical, material print? This paper presents and discusses printmaking as moving image, and in particular the practice of printmaking that utilizes the copy and multiplicity while exploiting qualities of change through, for example, organic non-archival materials. Drawing from my own print projects and practice as well as the work of other Australian printmakers, the paper asks: can the physical print convincingly perform, not only represent, movement and change as analog experience through its materiality, and how is it to be valued within printmaking conventions concerned with longevity and permanence?

Electrospun poly(vinyl alcohol)/phase change material fibers: morphology, heat properties, and stability

A phase change material (PCM) from a mixture of plant oils was incorporated into electrospun poly(vinyl alcohol) (PVA) nanofibers using an emulsion electrospinning technique. Effects of PCM and PVA content in the emulsions on nanofiber morphology, heat properties, and phase change stability were examined. Higher PCM loadings in the nanofibers led to increased fiber diameter, gouged fiber surfaces, and higher heat enthalpies. The fibers maintained their morphological integrity even if the PCM melted. They showed reliable heat-regulating performance which can undergo at least 100 cycles of phase change. Such PCM fibers may be used for the development of thermoregulating fabrics or in passive heat storage devices.

A review of the relationships between implication, negation and aggregation functions from the point of view of material implication

Implication and aggregation functions play important complementary roles in the field of fuzzy logic. Both have been intensively investigated since the early 1980s, revealing a tight relationship between them. However, the main results regarding this relationship, published by Fodor and Demirli DeBaets in the 1990s, have been poorly disseminated and are nowadays somewhat obsolete due to the subsequent advances in the field. The present paper deals with the translation of the classical logical equivalence p → q = ¬pvq, often called material implication, to the fuzzy framework, which establishes a one-to-one correspondence between implication functions and disjunctors (the class of aggregation functions that extend the Boolean disjunction to the unit interval). The construction of implication functions from disjunctors via negation functions, and vice versa, is reviewed, stressing the properties of disjunctors (respectively, implication functions) that ensure certain properties of implication functions (disjunctors).

Reducing the effect of wave dispersion in a timber pole based on transversely isotropic material modelling

Round timbers are used for telecommunication and power distribution networks, jetties, piles, short span bridges etc. To assess the condition of these cylindrical shape timber structures, bulk and elementary wave theory are usually used. Even though guided wave can represents the actual wave behaviour, a great deal complexity exists to model stress wave propagation within an orthotropic media, such as timber. In this paper, timber is modelled as transversely isotropic material without compromising the accuracy to a great extent. Dispersion curves and mode shapes are used to propose an experimental set up in terms of the input frequency and bandwidth of the signal, the orientation of the sensor and the distance between the sensors in order to reduce the effect of the dispersion in the output signal. Some example based on the simulated signal is also discussed to evaluate the proposed experimental set up.

The role of Transaction Cost Economics in information technology outsourcing research : a meta-analysis of the choice of contract type

Two recent reviews report that the empirical findings in information technology outsourcing (ITO) research are frequently inconsistent with the prevailing dominant analytical framework of transaction cost economics (TCE). While employing similar methodologies, the two reviews propose different strategies to resolve the inconsistencies. One is to improve the methodological rigor, specifically, the operationalization of TCE constructs. The other is to abandon TCE in favor of a new analytical framework. This paper presents a meta-analysis of the empirical findings on the choice of contract type as a function of task uncertainty. The results support both strategies. Refining the operationalization of TCE constructs, specifically of task uncertainty, would have improved the reliability of findings on TCE-based relationships between task uncertainty and the choice of contract type. However, independent of such methodological improvements, TCE is of limited relevance in recent ITO research for predicting the choice of contract type. Generalizing these findings, we conclude that ITO research requires a new analytical framework to further develop the theory of ITO and to provide sound guidance to the ITO industry.

Synthesis of a porous sheet-like V₂O₅-CNT nanocomposite using an ice-templating 'bricks-and-mortar' assembly approach as a high-capacity, long cyclelife cathode material for lithium-ion batteries

Tailoring the nanostructures of electrode materials is an effective way to enhance their electrochemical performance for energy storage. Herein, an ice-templating "bricks-and-mortar" assembly approach is reported to make ribbon-like V2O5 nanoparticles and CNTs integrated into a two-dimensional (2D) porous sheet-like V2O5-CNT nanocomposite. The obtained sheet-like V2O5-CNT nanocomposite possesses unique structural characteristics, including a hierarchical porous structure, 2D morphology, large specific surface area and internal conducting networks, which lead to superior electrochemical performances in terms of long-term cyclability and significantly enhanced rate capability when used as a cathode material for LIBs. The sheet-like V2O5-CNT nanocomposite can charge/discharge at high rates of 5C, 10C and 20C, with discharge capacities of approximately 240 mA h g-1, 180 mA h g-1, and 160 mA h g-1, respectively. It also retains 71% of the initial discharge capacity after 300 cycles at a high rate of 5C, with only 0.097% capacity loss per cycle. The rate capability and cycling performance of the sheet-like V2O5-CNT nanocomposite are significantly better than those of commercial V2O5 and most of the reported V2O5 nanocomposite.

In situ prepared V2O5/graphene hybrid as a superior cathode material for lithium-ion batteries

Developing synthetic methods for graphene based cathode materials, with low cost and in an environmentally friendly way, is necessary for industrial production. Although the precursor of graphene is abundant on the earth, the most common precursor of graphene is graphene oxide (GO), and it needs many steps and reagents for transformation to graphite. The traditional approach for the synthesis of GO needs many chemicals, thus leading to a high cost for production and potentially great amounts of damage to the environment. In this study, we develop a simple wet ball-milling method to construct a V2O5/graphene hybrid structure in which nanometre-sized V2O5 particles/aggregates are well embedded and uniformly dispersed into the crumpled and flexible graphene sheets generated by in situ conversion of bulk graphite. The combination of V2O5 nanoparticles/aggregates and in situ graphene leads the hybrid to exhibit a markedly enhanced discharge capacity, excellent rate capability, and good cycling stability. This study suggests that nanostructured metal oxide electrodes integrated with graphene can address the poor cycling issues of electrode materials that suffer from low electronic and ionic conductivities. This simple wet ball-milling method can potentially be used to prepare various graphene based hybrid electrodes for large scale energy storage applications.

Australasian partnership in a first-year engineering course: Deakin University and Wuhan University of Science and Technology

This paper presents the results of domestic Chinese undergraduate engineering course taught by international Australasian teaching staff. The project is a part of a teaching collaboration between Deakin University and Wuhan University of Science and Technology. The cohort of students from Wuhan was a freshman undergraduate engineering course in mechanical engineering. The particular subject was a freshman engineering-materials course taught in English. The course covered an introduction to material-science principles and practices. A survey was used for evaluating student perceptions. It is aimed that this study will help academics from Deakin University to better understand student experiences, and to identify the current challenges and barriers faced in student learning. Analysis of the survey has shown that 90% of students agreed that they were motivated to learn and achieve the learning goals through this collaborative program. Around 90% of students found that group-based practical activities were helpful in achieving learning goals. Overall, 90% of students strongly agreed they were satisfied with the method of teaching.

Utilization and efficacy of internet-based eHealth technology in gastroenterology: a systematic review.

OBJECTIVE: While there have been several reviews exploring the outcomes of various eHealth studies, none have been gastroenterology-specific. This paper aims to evaluate the research conducted within gastroenterology which utilizes internet-based eHealth technology to promote physical and psychological well-being. MATERIAL AND METHODS: A systematic literature review of internet-based eHealth interventions involving gastroenterological cohorts was conducted. Searched databases included: EbSCOhost Medline, CINAHL, and PsycINFO. Inclusion criteria were studies reporting on eHealth interventions (both to manage mental health problems and somatic symptoms) in gastroenterology, with no time restrictions. Exclusion criteria were non-experimental studies, or studies using only email as primary eHealth method, and studies in language other than English. RESULTS: A total of 17 papers were identified; seven studies evaluated the efficacy of a psychologically oriented intervention (additional two provided follow-up analyses exploring the original published data) and eight studies evaluated disease management programs for patients with either irritable bowel syndrome, inflammatory bowel disease (IBD) or celiac disease. Overall, psychological eHealth interventions were associated with significant reductions in bowel symptoms and improvement in quality of life (QoL) that tended to continue up to 12 months follow up. The eHealth disease management was shown to generally improve QoL, adherence, knowledge about the disease, and reduce healthcare costs in IBD, although the studies were associated with various methodological problems, and thus, this observation should be confirmed in well-designed interventional studies. CONCLUSIONS: Based on the evidence to date, eHealth internet-based technology is a promising tool that can be utilized to both promote and enhance gastrointestinal disease management and mental health.