作者:
Rahul GuptaSanjay SrivastavaG.V. Preetham KumarSanjay K. PanthiPh.D Research Scholar
Department of Material Science & Metallurgical Engineering Maulana Azad National Institute of Technology Bhopal 462003 India Associate Professor
Department of Material Science & Metallurgical Engineering Maulana Azad National Institute of Technology Bhopal 462003 India Assistant Professor
Department of Metallurgical & Materials Engineering National Institute of Technology Karnataka Surathkal Mangalore 575025 India Scientist
Computer Simulation & Design Center Advanced Materials and Processes Research Institute (AMPRI) Near Habibganj Naka Hoshangabad Road Bhopal 462064 India
In this work, the change in mechanical properties, microstructure and wear rate of high leaded tin bronze material was studied after multidirectional forging (MDF) process. The total equivalent strain of 0.75 was appl...
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In this work, the change in mechanical properties, microstructure and wear rate of high leaded tin bronze material was studied after multidirectional forging (MDF) process. The total equivalent strain of 0.75 was applied during MDF process result in the improvement of ultimate tensile strength, yield strength, hardness and wear rate along with maintained ductility with the increase in the number of MDF pass. The initial average grain size of 120 nm was refined to the final grain size of 37 nm. The transmission electron microscope, scanning electron microscope and optical microscope was used for the microstructure study of the undeformed, MDForged and wear worn surfaces.
In this paper we describe research being conducted on a mixed reality simulation called MEteor that is designed for informal physics learning in science centers. MEteor is a 30 x 10 foot floor area where participants ...
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High Performance Computing (HPC) systems are nowadays more and more heterogeneous. Different processor types can be found on a single node including accelerators such as Graphics Processing Units (GPUs). To cope with ...
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ISBN:
(纸本)9781467362184
High Performance Computing (HPC) systems are nowadays more and more heterogeneous. Different processor types can be found on a single node including accelerators such as Graphics Processing Units (GPUs). To cope with the challenge of programming such complex systems, this work presents a domain-specific approach to automatically generate code tailored to different processor types. Low-level CUDA and OpenCL is generated from a high-level description of a geometric multigrid algorithm written in a Domain-Specific Language (DSL) instead of writing hand-tuned code for GPU accelerators. By decoupling the algorithm from its schedule, the proposed approach allows to generate efficient stencil codes. Our results show that competitive performance compared to hand-tuned codes can be achieved and that more than 25 frames per second for 16.8 Megapixel images are obtained for full High Dynamic Range (HDR) compression of 2D medical data sets.
Holding huge amount of spectators simultaneously during sports and recreational events, the problem of outdoor stadiums is increasingly focusing on how to improve evacuation performance. At first, the prescriptive cod...
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Holding huge amount of spectators simultaneously during sports and recreational events, the problem of outdoor stadiums is increasingly focusing on how to improve evacuation performance. At first, the prescriptive codes related to stadium evacuation were compared, and the characteristics and movements of stadium crowd were studied to build more reliable evacuation simulation scenarios. Next, the design variations of most congested merging points in outdoor stadiums, which involve gangway intersections, vomitory access and stairway access underneath the stands were investigated. Finally, we used a CA model to simulate the evacuation processes in different cases. By analyzing the output value of egress time, waiting time and total cost through the journey, evacuation performances of different design strategies were compared and discussed.
This paper presents a neural network (NN) approach to determining the optimal form design of personal digital assistants (PDAs) that best matches a given set of product images perceived by consumers. 32 representative...
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How to create highly-reputable designs and hot-selling products is an essential issue on product design. This paper presents an experimental study to explore the relationship between the consumers' perceptions and...
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How to create highly-reputable designs and hot-selling products is an essential issue on product design. This paper presents an experimental study to explore the relationship between the consumers' perceptions and...
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How to create highly-reputable designs and hot-selling products is an essential issue on product design. This paper presents an experimental study to explore the relationship between the consumers' perceptions and product form elements, using one linear quantitative technique (i.e. the grey model) and one nonlinear quantitative technique (i.e. the neural network model). Thirty representative personal digital assistants (PDAs) and six design form elements of PDAs are identified as samples in an experimental study to illustrate how these techniques work. The performance evaluation result shows that the NN model is better to be used to construct a form design database for helping product designers comprehend consumers' perceptions, thus supporting form design decisions in a new PDA product development process.
Particle deposition in the small bronchial tubes (generations six through twelve) is strongly influenced by the vortex-dominated secondary flows that are induced by axial curvature of the tubes. In this paper, we empl...
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