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English Translation of the German by Tom Hammond
Richard Strauss Susan Bullock Sally Burgess John Graham-Hall John Wegner Philharmonia Orchestra Sir Charles Mackerras CHAN 3157(2) (1864 –1949) © Lebrecht Music & Arts Library Photo Music © Lebrecht Richard Strauss Salome Opera in one act Libretto by the composer after Hedwig Lachmann’s German translation of Oscar Wilde’s play of the same name, English translation of the German by Tom Hammond Richard Strauss 3 Herod Antipas, Tetrarch of Judea John Graham-Hall tenor COMPACT DISC ONE Time Page Herodias, his wife Sally Burgess mezzo-soprano Salome, Herod’s stepdaughter Susan Bullock soprano Scene One Jokanaan (John the Baptist) John Wegner baritone 1 ‘How fair the royal Princess Salome looks tonight’ 2:43 [p. 94] Narraboth, Captain of the Guard Andrew Rees tenor Narraboth, Page, First Soldier, Second Soldier Herodias’s page Rebecca de Pont Davies mezzo-soprano 2 ‘After me shall come another’ 2:41 [p. 95] Jokanaan, Second Soldier, First Soldier, Cappadocian, Narraboth, Page First Jew Anton Rich tenor Second Jew Wynne Evans tenor Scene Two Third Jew Colin Judson tenor 3 ‘I will not stay there. I cannot stay there’ 2:09 [p. 96] Fourth Jew Alasdair Elliott tenor Salome, Page, Jokanaan Fifth Jew Jeremy White bass 4 ‘Who spoke then, who was that calling out?’ 3:51 [p. 96] First Nazarene Michael Druiett bass Salome, Second Soldier, Narraboth, Slave, First Soldier, Jokanaan, Page Second Nazarene Robert Parry tenor 5 ‘You will do this for me, Narraboth’ 3:21 [p. 98] First Soldier Graeme Broadbent bass Salome, Narraboth Second Soldier Alan Ewing bass Cappadocian Roger Begley bass Scene Three Slave Gerald Strainer tenor 6 ‘Where is he, he, whose sins are now without number?’ 5:07 [p. -
Optimization Design by Coupling Computational Fluid Dynamics and Genetic Algorithm 125
DOI: 10.5772/intechopen.72316 Provisional chapter Chapter 5 Optimization Design by Coupling Computational Fluid OptimizationDynamics and Design Genetic by Algorithm Coupling Computational Fluid Dynamics and Genetic Algorithm Jong-Taek Oh and Nguyen Ba Chien Jong-TaekAdditional information Oh and is availableNguyen at Bathe endChien of the chapter Additional information is available at the end of the chapter http://dx.doi.org/10.5772/intechopen.72316 Abstract Nowadays, optimal design of equipment is one of the most practical issues in modem industry. Due to the requirements of deploying time, reliability, and design cost, bet- ter approaches than the conventional ones like experimental procedures are required. Moreover, the rapid development of computing power in recent decades opens a chance for researchers to employ calculation tools in complex configurations. In this chapter, we demonstrate a kind of modern optimization method by coupling computational fluid dynamics (CFD) and genetic algorithms (GAs). The brief introduction of GAs and CFD package OpenFOAM will be performed. The advantage of this approach as well as the difficulty that we must tackle will be analyzed. In addition, this chapter performs a study case in which an automated procedure to optimize the flow distribution in a manifold is established. The design point is accomplished by balancing the liquid-phase flow rate at each outlet, and the controlled parameter is a dimension of baffle between each chan- nel. Using this methodology, we finally find a set of results improving the distribution of flow. Keywords: computational fluid dynamics, VOF, optimization, OpenFOAM, genetic algorithm, open sourced 1. Introduction Computational fluid dynamics (CFD)-based optimization approach has been growing rap- idly in the past decades. -
OCCT V.6.5.4 Release Notes
Open CASCADE Technology & Products Products Version6. features, Highlights Technology CASCADE Open Overview , so applications linked against a previous version must berecompiled to run with this Version 6. Open CASCADE Technology & Products Technology Open CASCADE improvements and bug fixes over 6 Universal locale global current on independent made export / Import TKOpenGl libraries support plotter and viewer 2D obsolete of Removal Accelerated text visualization management texture of Redesign R and XCode Cocoa API with native visualization X, Mac OS On of support Official New automated testing system testing New automated and 3D graphics 2D both to way render unified the become input parameters and results and generation of data for bug rep bug for data of generation and results and parameters input . 0 efactored is binary incompatible withtheprevious versions CMake build scripts build CMake is nowis link Open CASCADE Open Boolean operations algorithm operations Boolean andProducts Mac OS X and Products Products and www. www. ed at build time, not at run time run at not time, build at ed opencascad Release Notes Notes Release opencascade M , Windows 8 and Visual Studio 2012 Studio Visual , and Windows 8 maintenance ; use of FTGL library is dropped FTGL of library ; use in version or e .co Release .org 6. m releas . Possibility to enable automatic check of of check automatic enable to Possibility . 6 . 0 ver. 6. ver. Technology is a Copyright © 2013 by OPEN CASCADE Page Copyright OPEN CASCADE 2013by © e 6. minor 5. 5 of . release, which includes 6 OpenCASCADE Technology . 0 4 project files files project ort . 3Dviewer over libraries 1 2 5 of 0 32 new 6 and and . -
Development of a Coupling Approach for Multi-Physics Analyses of Fusion Reactors
Development of a coupling approach for multi-physics analyses of fusion reactors Zur Erlangung des akademischen Grades eines Doktors der Ingenieurwissenschaften (Dr.-Ing.) bei der Fakultat¨ fur¨ Maschinenbau des Karlsruher Instituts fur¨ Technologie (KIT) genehmigte DISSERTATION von Yuefeng Qiu Datum der mundlichen¨ Prufung:¨ 12. 05. 2016 Referent: Prof. Dr. Stieglitz Korreferent: Prof. Dr. Moslang¨ This document is licensed under the Creative Commons Attribution – Share Alike 3.0 DE License (CC BY-SA 3.0 DE): http://creativecommons.org/licenses/by-sa/3.0/de/ Abstract Fusion reactors are complex systems which are built of many complex components and sub-systems with irregular geometries. Their design involves many interdependent multi- physics problems which require coupled neutronic, thermal hydraulic (TH) and structural mechanical (SM) analyses. In this work, an integrated system has been developed to achieve coupled multi-physics analyses of complex fusion reactor systems. An advanced Monte Carlo (MC) modeling approach has been first developed for converting complex models to MC models with hybrid constructive solid and unstructured mesh geometries. A Tessellation-Tetrahedralization approach has been proposed for generating accurate and efficient unstructured meshes for describing MC models. For coupled multi-physics analyses, a high-fidelity coupling approach has been developed for the physical conservative data mapping from MC meshes to TH and SM meshes. Interfaces have been implemented for the MC codes MCNP5/6, TRIPOLI-4 and Geant4, the CFD codes CFX and Fluent, and the FE analysis platform ANSYS Workbench. Furthermore, these approaches have been implemented and integrated into the SALOME simulation platform. Therefore, a coupling system has been developed, which covers the entire analysis cycle of CAD design, neutronic, TH and SM analyses. -
GPUSPH User Guide
GPUSPH User Guide version 5.0 — October 2016 Contents 1 Introduction 2 2 Anatomy of a project apart from the use of SALOME 2 3 Setting up and running the simulation without using the user in- terface 3 3.1 Case Examples .............................. 6 3.1.1 Framework setup ......................... 8 3.1.2 Generic simulation parameters .................. 11 3.1.3 SPH parameters .......................... 12 3.1.4 Physical parameters ....................... 13 3.1.5 Results parameters ........................ 14 3.2 Building and initializing the particle system .............. 14 4 Running your simulation 18 5 Setting up and running the simulation with the SALOME user in- terface 18 5.1 Preparing the geometry in GEOM .................... 18 5.2 Generating the mesh (optional) ..................... 20 5.3 Generating particle files with the Particle preprocessor ........ 21 5.4 Setting up and running the simulation with the GPUSPH solver ... 21 6 Visualizing the results 22 1 1 Introduction There are two ways to set up cases for GPUSPH: coding a Case file, or using the SALOME module GPUSPH solver. When coding the case file, it is possible to create the geometrical elements using built-in functions of GPUSPH (only for particle-type boundary conditions at the moment) or to read particle files generated by the Particle Preprocessor module of SALOME. Creating a case by hand corresponds to the creation of a new cusource file, with the associated header (e.g. MyCase.cu and MyCase.h), placing them under src/problems/user. This folder does not exist by default in GPUSPH, but it is recognised as a place to be scanned for case sources. -
Alternative Pre-Processing Tools for Elmer
Alternative pre-processing tools for Elmer ElmerTeam CSC – IT Center for Science, Finland CSC, 2018 Mesh generation capabilities of Elmer suite • ElmerGrid onative generation of simple structured meshes • ElmerGUI oplugins for tetgen, netgen and ElmerGrid • No geometry generation tools to speak about • No capability for multibody Delaunay meshing • Limited control over mesh quality and density • Complex meshes must be created by other tools! Open Source software for Computational Engineering Open source software in computational engineering • Academicly rooted stuff is top notch oLinear algebra, solver libraries oPetSc, Trilinos, OpenFOAM, LibMesh++, … • CAD and mesh generation not that competitive oOpenCASCADE legacy software oMesh generators netgen, tetgen, Gmsh are clearly academic oAlso for OpenFOAM there is development of commercial preprocessing tools • Users may need to build their own workflows from the most suitable tools oAlso in combination with commerial software Open Source Mesh Generation Software for Elmer • ElmerGrid: native to Elmer • Gmsh oSimple structured mesh generation oIncludes geometry definition tools oSimple mesh manipulation oElmerGUI/ElmerGrid can read the format oUsable via ElmerGUI msh format • ElmerMesh2D • SALOME oObsolite 2D Delaunay mesh generator oElmerGrid can read the unv format usable via the old ElmerFront written by SALOME oPreliminary version for direct interface to • Netgen Elmer oCan write linear meshes in Elmer format oUsable also as ElmerGUI plug-in • FreeCAD • Tetgen oOpen source community -
SALOME 7.2.0 Release Notes
SALOME : The Open Source Integration Platform for Numerical Simulation SALOME 7.2.0 Major release announcement May 2013 GENERAL INFORMATION CEA/DEN, EDF R&D and OPEN CASCADE are pleased to announce SALOME version 7.2.0. It is a major release that contains the results of planned major and minor improvements and bug fixes against SALOME version 6.6.0 released in December 2012. SALOME Platform SALOME Platform Copyright © 2001- 2013. All rights reserved. Page 1 of 32 SALOME : The Open Source Integration Platform for Numerical Simulation Table of Contents GENERAL INFORMATION ........................................................................................................................1 NEW FEATURES AND IMPROVEMENTS ................................................................................................3 PREREQUISITES CHANGES .................................................................................................................................3 License restrictions......................................................................................................................................4 MAJOR CHANGES ..............................................................................................................................................5 Removal of med v2.1 support .....................................................................................................................5 Removal of MEDMEM API..........................................................................................................................5 -
Studentveiledning for Undervisning I Solidworks®- Programvare
Konstruksjonsdesign og teknologi-serien Studentveiledning for undervisning i SolidWorks®- programvare Dassault Systèmes - SolidWorks Corporation Utenfor USA: +1-978-371-5011 300 Baker Avenue Faks: +1-978-371-7303 Concord, Massachusetts 01742 USA E-post: [email protected] Tlf.: +1-800-693-9000 Internett: http://www.solidworks.com/education © 1995-2010, Dassault Systèmes SolidWorks Corporation, et KOMMERSIELT DATAPROGRAMVARE - Dassault Systèmes SA-selskap, 300 Baker Avenue, Concord, PROPRIETÆRT Mass. 01742 USA. Med enerett. Begrensede rettigheter iht. amerikanske myndigheter. Bruk, duplisering eller offentliggjøring ved myndighetene er Informasjonen og programvaren som omtales i dette underlagt begrensninger som er angitt i FAR 52.227-19 dokumentet, kan endres uten varsel og er ikke forpliktelser gitt (Commercial Computer Software - Begrensede rettigheter), av Dassault Systèmes SolidWorks Corporation (DS DFARS 227.7202 (Commercial Computer Software og SolidWorks). Commercial Computer Software Documentation) og i lisensavtalen der det er aktuelt. Intet materiale kan reproduseres eller overføres i noen form eller med noen midler, elektronisk eller manuelt, for noe Entreprenør/produsent: formål uten uttrykkelig skriftlig tillatelse fra DS SolidWorks. Dassault Systèmes SolidWorks Corporation, 300 Baker Programvaren som omtales i dette dokumentet, er underlagt en Avenue, Concord, Massachusetts 01742 USA lisens og kan bare brukes eller kopieres i henhold til vilkårene Copyright-merknader for SolidWorks Standard, i denne lisensen. Alle garantier gitt av DS SolidWorks Premium, Professional og Education Products vedrørende programvaren og dokumentasjonen er fremsatt i lisensavtalen, og ingenting som er oppgitt i eller implisert av Deler av denne programvaren © 1986-2010 Siemens Product dette dokumentet eller dets innhold, er å anse som en endring Lifecycle Management Software Inc. Med enerett. -
Chapter 18 Solidworks
Chapter 18 SolidWorks As much as any company in the CAD industry, SolidWorks was inspired by the vision of a single individual, Jon Hirschtick. He received both a BS and an MS degree in mechanical engineering from MIT in 1983 and subsequently worked at the MIT CAD Laboratory under Dr. David Gossard. Hirschtick had a strong entrepreneurial streak in him from an early age including a period as a self-employed magician during high school. While working at the CAD Laboratory, he enrolled in an entrepreneurship class in 1987 where he teamed up with Axel Bichara to write a business plan for a new CAD software company they called Premise. Bichara was a graduate student from Germany who was also working at the CAD Laboratory at the time.1 The class business plan for Premise was submitted in mid-May, 1987 and in a little over a month the two founders had $1.5 million in venture funding from Harvard Management Company. It was no surprise that the company set up shop in Cambridge. Figure 18.1 Jon Hirschtick2 Premise’s initial software product, DesignView, was a two-dimension conceptual design tool that ran on IBM-compatible PCs and interfaced with Microsoft software packages such as Word and Excel. Users could sketch geometry, assign constraints and define dimensional relationships. If a dimension changed, the design would adapt to this new information. Since it could be interfaced to Excel, spreadsheets could be used to 1 Bygrave, William D. and D’Heilly, Dan – editors, The Portable MBA in Entrepreneurship Case Studies, Pg. -
Development of a Support Tool to Predict Manufacturability of Deep- Drawing Parts
INTERNATIONAL DESIGN CONFERENCE - DESIGN 2016 Dubrovnik - Croatia, May 16 - 19, 2016. DEVELOPMENT OF A SUPPORT TOOL TO PREDICT MANUFACTURABILITY OF DEEP- DRAWING PARTS D. Goller, S. Schreyer, B. Alber-Laukant, F. Rieg and W. Volk Keywords: process analysis, deep drawing, geometric modeling kernel, feasibility analysis 1. Introduction There are several different approaches to develop new products. A popular example is the product development process (PDP) by Pahl/Beitz [Feldhusen and Grote 2013]. The development engineer always benefits from detailed knowledge from later stages of the PDP, like process knowledge. Most likely this information is not available at these early stages, so it could be transferred from similar cases, which already have completed this stage, or the information can be generated by fast but preferably accurate estimations. The main goal of the collaborative research centre FORPRO², supported by the Bavarian research foundation (Bayerische Forschungsstiftung - BFS), is the optimization of simulation based development by knowledge transfer. One aspect of before mentioned optimization is the development of a software tool to predict the manufacturability of deep drawing parts. This can be achieved by process simulation by means of finite element analysis, but getting reliable output is usually extremely time-consuming and requires detailed process knowledge. Especially in early stages of the development process, a fast prediction on basis of non-detailed data is more expedient. There is already an approach to create a fast assumption of the manufacturability by using One-Step- solvers, which are already available in commercial solutions as for intance Autoform-OneStepforCatia [AutoForm 2015] and Altair HyperForm [Altair Engineering Inc. -
Salome9 the Open Source Integration Platform for Numerical Simulation Salome9 Platform
salome-platform.org SALOME9 THE OPEN SOURCE INTEGRATION PLATFORM FOR NUMERICAL SIMULATION SALOME9 PLATFORM The SALOME platform is an open source software framework for the integration of numerical solvers in various scientific domains. CEA and EDF are using SALOME to perform a wide range of simulations, which are typically related to industrial equipment in power plants (nuclear power plants, wind turbines, dams…). Some primary concerns are the design of new-generation reactor types, nuclear fuel management and transport, material ageing for the life-cycle management of equipment, and the reliability and safety of the nuclear facilities. To address these challenges, SALOME is integrating a CAD/CAE modeling tool, industrial mesh generators, and advanced 3D visualization features. KEY FEatuRES MODEL OF SERVICE AND SUPPORT In order to accurately simulate complex DEVELOPMENT OPEN CASCADE provides a whole industrial systems, scientists and engi- The SALOME platform is actively deve- range of services around SALOME for neers need to integrate domain specific loped by CEA and EDF, two key players professional end-users, such as technical solvers regarding material science, solid in the French energy industry, and with support and specific training. mechanics, structural dynamics, fluid the support of the Capgemini subsidiary The “à-la-carte” support program is par- physics, thermohydraulics, nuclear phy- OPEN CASCADE, one of the leaders ticularly suited for universities and aca- sics, radiations or electromagnetism. The in software development for scienti- demic organizations, as well as industrial SALOME platform provides one single fic computing. This 15 years old par- companies: Figure 1: Screenshots of the public web site of SALOME simulation environment for all these tnership provides the SALOME project Helpdesk and technical support for (www.salome-plateform.org) fields. -
Spaceclaim® Engineer and Spaceclaim Style Product Fact Sheet
SPACECLAIM® ENGINEER AND SPACECLAIM STYLE PRODUCT FACT SHEET About SpaceClaim represents the most significant technology advancement in 3D engineering in more than 10 years, having been created from the ground up specifically to give engineers and industrial designers the freedom and flexibility to capture ideas easily, edit solid models regardless of origin, and prepare designs for analysis, prototyping, and manufacturing. SpaceClaim enables an extended design team to work concurrently, finish projects at a fraction of the cost, and accelerate time-to-market. SpaceClaim Engineer is the world’s fastest and most innovative 3D direct modeler, enabling engineers to easily create concepts and prepare 3D designs for prototyping, top-down design, analysis, and manufacturing. The product interoperates with major CAD systems and many analysis tools, providing a solution to bridge the gap in typical design and engineering workflows. SpaceClaim Engineer broadens access to 3D models and data across the engineering team and helps build consensus by sharing concept models. This capability enables CAD teams to build detailed models right the first time, reducing costly iterations. SpaceClaim Style brings the freedom of direct solid modeling to industrial design, accelerating product ideation by providing flexible tools to create, edit, and validate design concepts. The product is tailored to the needs of designers working in industrial design, product styling, furniture design, jewelry design, and architectural detailing. SpaceClaim Style provides designers in these and other segments with a rapid creation environment for visualizing new ideas and converting hand-drawn, 2D and surface data to accurate solid models, enabling designers to experience the benefits of 3D Direct Modeling with solids.