Simulation Modelling for Computer Aided Design of Secondary Aerodynamic Wing Surfaces Aleksandr A
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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. -
CAD for VEX Robotics
CAD for VEX Robotics (updated 7/23/20) The question of CAD comes up from time to time, so here is some information and sources you can use to help you and your students get started with CAD. “COMPUTER AIDED DESIGN” OR “COMPUTER AIDED DOCUMENTATION”? First off, the nature of VEX in general, is a highly versatile prototyping system, and this leads to “tinkerbots” (for good or bad, how many robots are truly planned out down to the specific parts prior to building?). The team that actually uses CAD for design (that is, CAD is done before building), will usually be an advanced high school team, juniors or seniors (and VEX-U teams, of course), and they will still likely use CAD only for preliminary design, then future mods and improvements will be tinkered onto the original design. The exception is 3d printed parts (U-teams only, for now) which obviously have to be designed in CAD. I will say that I’m seeing an encouraging trend that more students are looking to CAD design than in the past. One thing that has helped is that computers don’t need to be so powerful and expensive to run some of the newer CAD software…especially OnShape. Here’s some reality: most VEX people look at CAD to document their design and create neat looking renderings of their robots. If you don't have the time to learn CAD, I suggest taking pictures. Seriously though, CAD stands for Computer Aided Design, not Computer Aided Documentation. It takes time to learn, which is why community colleges have 2-year degrees in CAD, or you can take weeks of training (paid for by your employer, of course). -
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 -
Evaluation of Shipbuilding Cadicam Systems (Phase I)
Final Report EVALUATION OF SHIPBUILDING CADICAM SYSTEMS (PHASE I) Submitted to: U.S. Navy by: National Steel & Shipbuilding Co. San Diego, CA 92186 Project Director: John Horvath Principal Investigator: Richard C. Moore October 1996 Technical Report Documentaition Page- 1. Report No. 2. Government Accession No. 3. Recipient's Waiog No. I I 4. Title and Subtitle I 5. Repon Date October 14. 1996 Evaluation of Shipbuilding CADICAM Systems 6. Performing Organization C e (Phase I) '32%'2.7 8. Performing Organization Report Ilo. 7. Author(s) Richard C. Moore UMTRI-96-35 9. Performing Organization Name and Address 10. Work Unit No. (TRAIS) The University of Michigan Transportation Research Institute 11. Contracl or Grant No. 290 1 Baxter Road, Ann Arbor, .Michigan 48 109-2150 PQ# MU7.56606-D - 13. Typ of Report and Period Coverud 12. Sponsoring Agency Name and Address Technical National Steel & Shipbuilding Co. 28th St. & Harbor ~r. 14. Sponsoring Agency Code San Diego, CA 92 1 13 US. Navy 15. Supplementary Notes 16. Abstract This report is the Phase I final report of the National Shipbuilding Research F'rogram (NSRP) project (Project Number 4-94-1) to evaluate world-class shipbuilders' existing CADICAMICIM system implementations. Five U.S. shipyards participated in this study along with personnel from University of Michigan, Proteus Engineering, and Cybo Robots. Project participants have backgrounds in design, computer-aided design (CAD), n~anufacturingprocesses, computer-aided manufacturing (CAM), production planning, and computer-integrated manufacturing/management (CIM). The results of this evaluation provided the basis for the CADICAMICIM Workshop presented in conjunction with the 1996 Ship Production Symposium, and will be used as background in Phase I1 of the project to develop requirements for future shipbuilding CADICAMICIM systems. -
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.