Experimental evaluation of curl and tensile properties of advanced high strength sheet steels

The response of HSLA steel, 590R, and dual-phase steel, DP-600, to non-uniform deformation imposed in a laboratory Bending-Under-Tension (BUT) test apparatus was evaluated. Samples were deformed with both low and high back tension forces at bend angles of 45 and 90 degrees, and evaluated to determine the ""side-wall curl,"" i.e., the curvature in the sheet section in contact with the die. The results indicate that there are no consistent differences between the two steels, 590R and DP-600. It was found that back tension, tensile strength and sheet thickness were the primary factors affecting curl. The bend angle has an influence on curl, with the curl radius at a 90ø bend angle being greater than the curl radius at a 45\mD bend angle.

Advanced virtual engineering educational program for engineering research and teaching excellence

In this paper, an advanced virtual engineering educational program developed at University of South Australia for both on-campus and off-shore students will be studied. This extensive training program is based on a comprehensive online tutorial and comprises both face-to-face and online learning. The program provides a tailored evaluation format to ensure that all postgraduate students, including course work and research students, will have appropriate exposure to updated learning skills and research resources. Although the internet (WWW) is the primary resource being used in this educational program, other resources such as video conference, video taping, and face-to-face lecturing have also played a role in promoting engineering teaching and research excellence. The feedback from students in recent years has been very encouraging, showing increased information literacy skills and improved researching abilities. As off campus class numbers have increased, further development of the program to meet their requirement has been a priority.

An advanced virtual engineering educational program for engineering research and teaching excellence.

In this paper, an advanced virtual program in engineering education developed at the University of South Australia for both on-campus and offshore students is described. This extensive training program is based on a comprehensive online tutorial and comprises both face-to-face and online learning. The program provides a tailored evaluation format to ensure that all postgraduate students, including those doing coursework and research, will have appropriate exposure to updated learning skills and research resources. Although the internet is the primary resource used in this educational program, other resources, such as videoconferencing, video-taping and face-to-face lecturing, have also played a role in promoting engineering teaching and research excellence. The feedback from students in recent years has been very encouraging, and students have shown increased information literacy skills and improved researching abilities. As off-campus class numbers have increased, further development of the program to meet their requirements has been a priority.

Advanced technology and economies of scale in the cement industry

The thesis examines sources of economies of scale for the manufacture and distribution of Portland cement. Using cost models, it is shown that recent advances in technology have increased the economies of scale for efficient clinker production significantly, and to a lesser degree for finish grinding operations and bulk distribution.

Advanced modelling of forming high strength steels

The thesis presents a novel approach in the multiscale modelling of Advanced High Strength Steels for prediction of the microstructural effects in forming processes. The results are compared with that of experiments and finite element method. The method is proved to be suitable for complexities in the multiphase AHSS.

Examination of the relationship between advanced manufacturing technologies (AMTs) and workforce development activities : implications for organisational performance

This study examines the relationship among organisational performance, advanced manufacturing technologies and workforce development activities. A model of this relationship is proposed with the workplace needs acting as a mediator between technology and workforce development activities. This survey examined the technology and developmental practices of manufacturing companies in Hong Kong.

Does multidisciplinary care enhance the management of advanced breast cancer? : evaluation of advanced breast cancer multidisciplinary team meetings

Purpose: To assess the contribution of the advanced breast cancer (ABC) multidisciplinary team meetings (MDMs) to patient care and clinical outcomes.

Methods: Members of ABC MDMs at two health services completed questionnaires in November 2007. The questionnaire asked about the performance of the MDMs and their contribution to improvement in patient care in five domains: medical management, psychosocial care, palliative care, care in the community, and benefits for team members. A final section covered the perceived value and importance of the MDM in patient management. Descriptive statistics (frequencies, mean, and standard deviation) were used to summarize the performance, improvement, and importance scores.

Results: A total of 27 multidisciplinary team members (73%) completed the questionnaire. The MDM performed best in medical management (mean performance score out of 5 [M] = 3.78) and palliative care (M = 3.77). These were also the areas that were most improved through the MDM. Benefits to team members and care in the community (both M = 3.05) ranked lowest by both measures. The MDM provided the most benefit for patient management in the areas of "awareness of services available" (M = 4.32), "efficiency of referrals" (M = 4.27) and "supportive care for patients" (M=4.27). "Awareness of services available," "psychological care for patients," and "continuity of care" were considered the most important (M = 4.64).

Conclusion: The study provides evidence that MDMs make an important contribution to the logistical and medical management of patients with advanced breast cancer.

Formability and forming of advanced steels

The thesis identified how advanced high strength steels perform compared to conventional steels in terms of weight reduction and crash performance for automotive bodies. The novel production method of low pressure tube hydroforming was applied to form these advanced steels to reduce the press tonnage and fluid pressure compared to the conventional high pressure process. In addition analytical models were developed to predict the force and pressure in the low pressure process.

Characterization of the bake-hardening behavior of transformation induced plasticity and dual-phase steels using advanced analytical techniques

The bake-hardening (BH) behavior of TRansformation Induced Plasticity (TRIP) and Dual-Phase (DP) steels after intercritical annealing (IA) has been studied using transmission electron microscopy, X-ray diffraction and three dimensional atom probe tomography. It was found for the DP steel that carbon can segregate to dislocations in the ferrite plastic deformation zones where there is a high dislocation density around the "asquenched" martensite. The carbon pinning of these dislocations, in turn, increases the yield strength after aging. It was shown that bake-hardening also leads to rearrangement of carbon in the martensite leading to the formation of rod-like low temperature carbides in the DP steel. Segregation of carbon to microtwins in retained austenite of the TRIP steel was also evident. These factors, in combination with the dislocation rearrangement in ferrite through the formation of cells and microbands in the TRIP steel after pre-straining, lead to the different bake-hardening responses of the two steels.

Effect of manufacturing process on the final properties of advanced high strength steels for automotive applications

The performance of multiphase steels with high strength and improved toughness or ductility, such as intercritically annealed dual-phase (DP) and transformation-induced plasticity (TRIP) steels, is of key importance to the automotive industry. In this work we have considered the entire manufacturing process and the effects of this on the final product performance. These steels are formed to produce the required final shape and then the car is paint baked. In this work we also consider the effect of cold working and bake hardening on the fatigue life of the components.

Nano-scale analysis of nano-bainite formed in advanced high strength steels

The effect of composition and processing schedule on the microstructure of C-Mn-Si-Mo-(Al)-(Nb) steels containing nano-bainite was studied using transmission electron microscopy (TEM) and atom probe tomography (APT). The major phase formed in all steels was nano-bainite. However, the steels with lower carbon and alloying addition content subjected to TMP had better mechanical properties than high alloyed steel after isothermal treatment. The presence of ferrite in the microstructure can improve not only ductility but lead to the formation of retained austenite with optimum chemical stability.

Advanced graph mining methods for protein analysis

As one of the primary substances in a living organism, protein defines the character of each cell by interacting with the cellular environment to promote the cell’s growth and function [1]. Previous studies on proteomics indicate that the functions of different proteins could be assigned based upon protein structures [2,3]. The knowledge on protein structures gives us an overview of protein fold space and is helpful for the understanding of the evolutionary principles behind structure. By observing the architectures and topologies of the protein families, biological processes can be investigated more directly with much higher resolution and finer detail. For this reason, the analysis of protein, its structure and the interaction with the other materials is emerging as an important problem in bioinformatics. However, the determination of protein structures is experimentally expensive and time consuming, this makes scientists largely dependent on sequence rather than more general structure to infer the function of the protein at the present time. For this reason, data mining technology is introduced into this area to provide more efficient data processing and knowledge discovery approaches.

Unlike many data mining applications which lack available data, the protein structure determination problem and its interaction study, on the contrary, could utilize a vast amount of biologically relevant information on protein and its interaction, such as the protein data bank (PDB) [4], the structural classification of proteins (SCOP) databases [5], CATH databases [6], UniProt [7], and others. The difficulty of predicting protein structures, specially its 3D structures, and the interactions between proteins as shown in Figure 6.1, lies in the computational complexity of the data. Although a large number of approaches have been developed to determine the protein structures such as ab initio modelling [8], homology modelling [9] and threading [10], more efficient and reliable methods are still greatly needed.

In this chapter, we will introduce a state-of-the-art data mining technique, graph mining, which is good at defining and discovering interesting structural patterns in graphical data sets, and take advantage of its expressive power to study protein structures, including protein structure prediction and comparison, and protein-protein interaction (PPI). The current graph pattern mining methods will be described, and typical algorithms will be presented, together with their applications in the protein structure analysis.

The rest of the chapter is organized as follows: Section 6.2 will give a brief introduction of the fundamental knowledge of protein, the publicly accessible protein data resources and the current research status of protein analysis; in Section 6.3, we will pay attention to one of the state-of-the-art data mining methods, graph mining; then Section 6.4 surveys several existing work for protein structure analysis using advanced graph mining methods in the recent decade; finally, in Section 6.5, a conclusion with potential further work will be summarized.