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Effect of process parameters on deformation behavior of AA 5052 sheets in stretch flanging process

Materials Today: Proceedings 2017年第8期4卷 9316-9326页

作者： Yogesh Dewang M.S. Hora S.K. Panthi Department of Mechanical Engineering Lakshmi Narain College of Technology Bhopal 462021 India Department of Civil Engineering Maulana Azad National Institute of Technology Bhopal 462003 India Computer Simulation & Design Centre Advanced Materials Processes and Research InstituteBhopal462024 India

Aluminum alloys are widely used in manufacturing of aircrafts and in automotive industry. In this paper aluminum alloy 5052 of 0.5 mm thickness was utilized to investigate deformation behavior in stretch flanging process. The effect of process parameters such as initial flange length, punch-die clearance and blank-holding force were investigated using FE simulation and experimentation. The results show that the circumferential strain and radial strain increases with increase in initial flange length and blank-holding force and decreases with increase in punch-die clearance. Experimental investigations were also carried out to validate FE simulation results. A very good agreement was obtained between FE simulation results and experimental in terms of punch load and edge crack location and propagation.

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YouPower: An open source platform for community-oriented smart grid user engagement

YouPower: An open source platform for community-oriented sma...

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IEEE International Conference on Networking, Sensing and Control

作者： Yilin Huang Hanna Hasselqvist Giacomo Poderi Sanja Šćepanović Filip Kis Cristian Bogdan Martijn Warnier Frances Brazier Section Systems Engineering and Simulation Delft University of Technology The Netherlands Media Technology and Interaction Design KTH Royal Institute of Technology Sweden Department of Information Engineering and Computer Science University of Trento Italy Department of Computer Science Aalto University Finland

This paper presents YouPower, an open source platform designed to make people more aware of their energy consumption and encourage sustainable consumption with local communities. The platform is designed iteratively in collaboration with users in the Swedish and Italian test sites of the project to improve the design and increase active user participation. The community-oriented design is composed of parts that link energy data to energy actions, provide comparisons at different levels, generate dynamic time-of-use signals, offer energy conservation suggestions, and support social sharing. The goal is to bridge people's attitude-behavior gap in energy consumption and to facilitate the behavior change process towards sustainable energy consumption that is implementable in people's daily life. Preliminary results show that community-oriented energy intervention has the potential to improve user engagement significantly.

关键词： Production Smart grids Electronic mail Energy consumption Real-time systems Buildings Home appliances

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Keep Your Friends Close and Your Colleagues Nearby: The Hidden Ties That Improve STEM Education

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Change 2019年第1期51卷 42页

作者： Mestre, Jose P. Herman, Geoffrey L. Tomkin, Jonathan H. West, Matthew Jose P. Mestre (mestre@illinois.edu). A theoretical nuclear physicist by training Mestre’s research focuses on the learning of physics contributing in areas such as the acquisition and use of knowledge by experts and novices transfer of learning problem solving and instructional design. He has offered Congressional testimony on The Science of Learning has published numerous articles and books and is a Fellow of the American Physical Society.http://***/0000-0003-2110-1954 Geoffrey L. Herman (glherman@illinois.edu). Herman has a Ph.D. in Electrical and Computer Engineering and is a Teaching Assistant Professor in Computer Science and a Research Assistant Professor in the Department of Curriculum & Instruction at the University of Illinois. His research focuses on how students learn engineering and computing concepts and studying processes for creating systemic instructional change in college settings. Previously he was a postdoctoral researcher in Engineering Education at Purdue University.http://***/0000-0002-9501-2295 Jonathan H. Tomkin (tomkin@illinois.edu). Tomkin is a mathematically based geoscientist with two research focus areas: first he uses models and large data sets to determine how climates glaciers tectonics and landscapes interact. Second he explores how new technological and organizational approaches can improve STEM education. He produced the first geoscience MOOC is the editor of an open-source textbook and has published widely in both geoscience and STEM education. Matthew West (mwest@illinois.edu). Matthew West is an Associate Professor of Mechanical Science and Engineering at the University of Illinois with research interests in scientific computing that include time integration of deterministic and stochastic systems distributed computation and particle methods for simulation and estimation. In education he researches computer-based assessment and the development of innovative teaching cultures. Professor West is a University of Illinois Distinguished Teacher-Scholar and Colleg

A science department on the campus of the University of Illinois has received numerous national awards for excellence in undergraduate teaching. The secret to their success? For nearly two decades, they have collaboratively used evidence-based instructional practices (EBIP) in their introductory level courses. Despite these successes and efforts to spread their EBIP, no other departments followed this department's lead. Then, suddenly six years ago, many instructors from other departments began adopting EBIP in their classrooms. This article asks what was the catalyst for this change? Why had previous attempts at institutional change failed? The authors answer these questions by analyzing their efforts to transform the teaching practices in large-enrollment science and engineering introductory courses on their campus.

关键词： STEM Education Evidence Based Practice Teaching Methods Undergraduate Study College Faculty Educational Change Communities of Practice Mentors School CultureIllinois

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Influence of Blank Holding Force on Stretch Flange Forming of Aluminum Alloy

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Materials Today: Proceedings 2015年第4期2卷 1934-1941页

作者： Yogesh Dewang M.S. Hora S.K. Panthi Research Scholar Department of Mechanical EngineeringMaulana Azad National Institute of Technology Bhopal 462051 India Professor Department of Civil EngineeringMaulana Azad National Institute of Technology Bhopal 462051 India Scientist Computer Simulation & Design CentreAdvanced Materials Processes and Research Institute Bhopal 462064 India

The effect of blank holding force on the stretch flanging process was investigated using finite element simulation and experimental analysis. Finite element model was used to study the effect of blank holding forces on punch load and forming kinematics. An aluminum alloy 5052 sheet of 0.5 mm thickness was employed for this work. Blank holding force has a great effect on punch load and significant influence on forming kinematics. Validation of FEM results were obtained by conducting experiments. A very good agreement was obtained between FEM simulation results in terms of punch load and final shape which shows the accuracy of present finite element model.

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Corrigendum: “A high order predictor–corrector integration algorithm for first principle chemical dynamics simulations”

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Journal of Computational Biophysics and Chemistry 2016年第7期15卷

作者： Heng Wu Shaofei Lu Ningjia Zhu Jialin Liu Eduardo Colmenares Yin Lu Yu Zhuang Yong Chen William L. Hase Department of Computer Science Texas TECH University Lubbock USA College of Computer Science and Electronic Engineering Hunan University Changsha P.R. China Department of Design Science Jiaxing University Jiaxing P.R. China Contribution: Provided original idea and correct formula. Contribution: Revised the original manuscript and corrected programmer problems. Department of Chemistry & Biochemistry Texas TECH University Lubbock USA Contribution: Provided original idea and cluster for simulation.

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Density estimation with adaptive sparse grids for large data sets 14

Density estimation with adaptive sparse grids for large data...

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14th SIAM International Conference on Data Mining, SDM 2014

作者： Peherstorfer, Benjamin Pflüger, Dirk Bungartz, Hans-Joachim Aerospace Computational Design Laboratory AeroAstro Massachusetts Institute of Technology United States Simulation of Large Systems Group Institute for Parallel and Distributed Systems University of Stuttgart Germany Scientific Computing Group Department of Computer Science Technische Universität München Germany

ISBN: (纸本)9781510811515

Nonparametric density estimation is a fundamental problem of statistics and data mining. Even though kernel density estimation is the most widely used method, its performance highly depends on the choice of the kernel bandwidth, and it can become computationally expensive for large data sets. WTe present an adaptive sparse-grid-based density estimation method which discretizes the estimated density function on basis functions centered at grid points rather than on kernels centered at the data points. Thus, the costs of evaluating the estimated density function are independent from the number of data points. We give details on how to estimate density functions on sparse grids and develop a cross validation technique for the parameter selection. We show numerical results to confirm that our sparse-grid-based method is well-suited for large data sets, and, finally, employ our method for the classification of astronomical objects to demonstrate that it is competitive to current kernel-based density estimation approaches with respect to classification accuracy and runtime. Copyright © SIAM.

关键词： Data mining

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ExaSlang: A Domain-Specific Language for Highly Scalable Multigrid Solvers

ExaSlang: A Domain-Specific Language for Highly Scalable Mul...

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International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC)

作者： Christian Schmitt Sebastian Kuckuk Frank Hannig Harald Köstler Jürgen Teich Hardware/Software Co-Design Department of Computer Science System Simulation Friedrich-Alexander-Universität Erlangen-Nurnberg (FAU)

High-Performance Computing (HPC) systems are becoming increasingly parallel and heterogeneous. As a consequence, HPC applications, such as simulation software, need to be especially designed towards these systems to achieve optimal performance. This, in turn, leads to higher complexity, making software engineers and scientists require a deep knowledge of the hardware and its technologies. As a remedy, domain-specific languages (DSLs) are a convenient technology for domain experts to describe settings and problems they want to solve using terms and models familiar to them. This specification is transformed into a target language, i. e., source code in another programming language or a binary executable, by a specialized compiler. We propose ExaSlang, a language for the specification of numerical solvers based on the multigrid method targeting distributed-memory systems. Furthermore, we present the transformation framework that drives the corresponding source-to-source compiler. It emits C++ code utilizing a hybrid OpenMP and MPI parallelization. Moreover, we substantiate our approach with scaling results of our code scaling up to the complete JUQUEEN cluster, consisting of 28,672 nodes, with a total of 458,752 cores.

关键词： DSL Mathematical model Programming Hardware Optimization Program processors

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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Normal Bisimulation for Higher Order Pi-Calculus with Unguarded Choice

Normal Bisimulation for Higher Order Pi-Calculus with Unguar...

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Theoretical Aspects of Software Engineering (TASE)

作者： Zining Cao Department of Computer Science and Technology Nanjing University of Aeronautics & Astronautics Nanjing China State Key Laboratory for Civil Aircraft Flight Simulation Shanghai Aircraft Design and Research Institute Shanghai China

In this paper, we present a normal bisimulation for higher order pi-calculus with unguarded choice and prove the coincidence between such normal bisimulation and context bisimulation for higher order π-calculus with unguarded choice. To achieve this aim, we introduce indexed higher order π-calculus with unguarded choice. Furthermore we present corresponding indexed bisimulations in this calculus, and prove the equivalence between indexed context bisimulation and indexed normal bisimulation. As an application of this result, we prove the equivalence between context bisimulation and normal bisimulation for higher order π-calculus with unguarded choice.

关键词： Context Calculus Semantics Indexes Syntactics Gold Aircraft

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Finite Element Analysis of Non-axisymmetric Stretch Flanging Process for Prediction of Location of Failure

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Procedia Materials Science 2014年 5卷 2054-2062页

作者： Yogesh Dewang M.S. Hora S.K. Panthi Research Scholar Department of Mechanical EngineeringMaulana Azad National Institute of Technology Bhopal462051 India Professor Department of Civil EngineeringMaulana Azad National Institute of Technology Bhopal 462051 India Scientist Computer Simulation & Design CentreAdvanced Materials Processes and Research InstituteBhopal462064 India

Stretch flanging is an important sheet metal forming process which is applied in automotive industry. In this paper, finite element simulation of stretch flanging process of AA 5052 has been carried out. It is found that both punch-die clearance and initial flange length has great effect on strain distribution and edge cracking along die profile radius. A good agreement has been obtained between results of simulation and experimental results, in terms of edge crack, punch load and punch stroke. From this investigation, finite element simulation is found to be quite useful in predicting deformation behavior of stretch flange quite efficiently.

关键词： Stretch Flanging finite element simulation punch-die clearance initial flange length edge crack strain

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