Multidisciplinary Analysis and Optimization Process Integration
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Optimation Optimizing Process Control with Dymola
DS PLM SUCCESS STORY Optimation Optimizing process control with Dymola Overview Challenge Optimizing manufacturing processes define the strategies to run the mill or the Optimation needed to provide its Sweden’s Optimation helps companies to power plant at an optimum level and use customers with solutions that define optimize their manufacturing processes via simulation to test those strategies before they the optimal process control strategy for their production processes its expertise in control technology, dynamic are implemented in the real world.” simulation, and production processes. Solution Optimized process control can contribute to With Dymola, Optimation produces simulation Optimation uses Dymola to energy savings, better product quality, and results that mimic reality enabling its dynamically simulate the way a increased output. On the contrary, incorrectly customers to implement the most optimum controller should function for maximum structured and insufficiently configured configuration from the beginning. “I suppose operating capacity control systems lead to production downtime, we can say that we are control architects - we idleness or inefficiencies. Customers that turn define the optimum strategy and we create a Benefits to Optimation for process control optimization roadmap so that programmers have precise Thanks to Dymola, Optimation’s customers have a precise idea of the come from a variety of disciplines that include instructions on how to program a control way a process controller should be pulp mills, power plants, mining and steel. system,” said Eriksson. programmed before proceeding with physical modifications or installations Optimum configuration with Dymola A plant is an ensemble of hydraulic, Optimation uses Dymola, Dassault Systèmes mechanical, electrical systems. This is why multi-engineering modeling and simulation Optimation adopts a broad approach when solutions based on the open Modelica asked to optimize an existing plant. -
ESI's Simulationx
by ESI‘s SimulationX Courses and Contents SimulationX is a registered trademark of ESI ITI GmbH Dresden. © ESI ITI GmbH, Dresden, Germany, 2019. All rights reserved. Doc. Vers. 08/2019 Preface Dear Sir or Madam, with the continuous development of SimulationX we provide you with the necessary resources for a targeted and sustain- able work in the field of system simulation. You will learn the efficient use of the software and its innovations in group and individual training courses at ESI or directly at your site. The highly practical nature of our courses and the professional Your personal contact: expertise of our tutors guarantee a quick and successful learn- ing process. We look forward to passing on our knowledge and would be happy to discuss new solutions with you. Antje Richter T + 49 (0) 351 260 50 - 120 With best regards on behalf of the ESI team, F + 49 (0) 351 260 50 - 155 [email protected] Antje Richter, Content 1 ESI ITI Academy 1.1 Introduction 07 1.2 Course Overview 08 1.3 Conditions of Participation 09 1.4 Registration 10 2 Introduction to SimulationX 2.1 Fundamentals 11 2.2 Advanced Modeling 12 2.3 Methods for Calculation and Analyses 13 3 Physical Domains 3.1 Mechanics (1D) 14 3.2 Planar Mechanics 15 3.3 Multi-Body Systems 16 3.4 Hydraulics 17 3.5 Thermal 18 3.6 Pneumatics 19 3.7 Acoustics (1D) 20 3.8 Electronics, Electromagnetics, Electromechanics 21 3.9 Electrical Power & Communications Analysis (1D) 22 3.10 Control Engineering 23 Content 4 Applications 4.1 Drive Systems 24 4.1 Drive Systems 25 4.2 Hybrid -
Simulationx를 이용한 기계, 유체, 전기 통합 시스템 모델링 및 해석 Simulationx, Multi-Domain Simulation and Modeling Tool for the Design, Analysis, and Optimization of Complex Systems
기술해설 SimulationX를 이용한 기계, 유체, 전기 통합 시스템 모델링 및 해석 SimulationX, Multi-domain Simulation and Modeling tool for the Design, Analysis, and Optimization of Complex systems 윤영환, 장주섭 Y. H. Yoon and J. S. Jang 1. 서 론 SimulationX의 사용상 장점은 다음과 같다. 1) 각기 다른 분야의 엔지니어들이 각자의 방식대 컴퓨터의 성능 발달로 인하여 이것을 활용한 시 로 부품이나 시스템을 모델링 할 수 있고, 이를 뮬레이션의 활용도가 높아지고 있고, 그 결과 복잡 서로 공유함으로써 복합적인 시스템 전체의 해 한 시스템을 실제 시스템처럼 모사가 가능하다. 이 석을 가능하게 하여 Multi-Domain Simulation 러한 CAE(Computer Aided Engineering) 기술 활 S/W라고 한다. 용은 비용 절감 및 개발 기간의 단축이라는 점에서 2) 상호 작용 및 피드백을 포함하는 다양한 도메 매우 중요하며, 현재 많은 제품 개발에 해석 기술이 인 부품들의 상호 작용을 모델링 할 수 있다. 활용되고 있다.1-4) 3) 시스템 개발에 있어서 공통적인 모델링 및 해 SimulationX는 독일의 드레스덴(Dresden)에 본사 석 환경을 이용함으로써 모든 관계자들 간 상 를 두고 있는 ITI GmbH에서 개발한 Multi-Domain 호 이해의 기반을 다질 수 있다. 시뮬레이션 프로그램으로서, 어떤 시스템을 구성하 4) 시제품(prototype) 제작 및 테스트 기간을 단축 고 있는 부품들의 상호 작용을 해석하고 평가할 수 하고 개발 비용을 절감할 수 있다. 있는 대표적인 소프트웨어(Software, S/W)이다. 5) 실제로 측정이 어렵거나 불가능한 모델에 대한 SimulationX를 가장 많이 시용하는 업체로는 유 관찰이 가능하여 시스템 전반에 대한 이해도를 럽의 BMW, Benz와 같은 자동차산업의 선두그룹으 높여 준다. 로 독일 자동차 회사들이 왜 세계 최고의 제품을 SimulationX의 조작 화면(GUI)은 그림 1과 같이 만드는지 알 수 있을 정도로 잘 만들어진 S/W이다. 왼쪽의 각종 물리적인 모델을 포함하고 있는 라이 SimulationX는 이미 라이브러리 화 되어있는 기 브러리, 오른쪽 위에 이러한 모델들을 배치하고 서 계(1D mechanics, 3D multi-body systems), 유압 로 연결하여 시스템 전체의 회로도를 작성하는 (Hydraulics), 공압(Pneumatics), 제어(Controls), 전 Model view외 각 모델의 물리적 특성 파라미터의 기, 전자(Electric, Electronics), 자장(Magnetics), 파 표시 및 조정, 해석과 관련된 사항을 조정하는 워트레인(Power transmission 1D, 3D), 전기 기계 Model explorer로 구성되어 있다. -
Dassault Systèmes Products Lines Releases Support Life Cycle Dates for Licensed Program
Dassault Systèmes Products Lines Releases Support Life Cycle Dates For licensed program © Dassault Systèmes | Confidential Information | 5/23/14 | ref.: 3DS_Document_2014 ref.: Information | | 5/23/14 © Dassault | Confidential Systèmes 3DS.COM Applicable as of - 9/13/2019 Dassault Systèmes - Customer Support Table of contents 1. 3DEXPERIENCE ........................................................................................................... 4 2. 3DEXCITE ..................................................................................................................... 5 3. BIOVIA ........................................................................................................................... 6 4. CATIA Composer ........................................................................................................... 8 5. CATIA V4 ....................................................................................................................... 9 6. CATIA AITAC ............................................................................................................... 10 7. DELMIA APRISO ......................................................................................................... 11 8. DELMIA ORTEMS ....................................................................................................... 12 9. DYMOLA...................................................................................................................... 13 10. ELECTRE & ELECTRE Connectors for V5 ................................................................. -
S C H U L U N G S K a T a L O G 2 0
SCHULUNGSKATALOG 2021 ENGINEERING SYSTEM INTERNATIONAL GMBH www.esi-group.com DIVE INTO THE WORLD OF ZERO TESTS, ZERO PROTOTYPES, ZERO DOWNTIME Seit der Gründung im Jahre 1973 hat ESI die Vision, reale und praxisnahe Konstruk- tionsprobleme verschiedener Industriezweige zu lösen. Diese Simulationslösungen, die auf der Materialphysik basieren, erzielten 1985 eine Weltpremiere: Zum ersten Mal wurde ein virtueller Crash-Test für Volkswagen durchgeführt, der den Weg für den umfangreichen Einsatz virtueller Lösungen in Entwicklungsprozessen eb- nete und neue Sicherheitsstandards etablierte. Ein neues Paradigma, die Outcome Economy Die zunehmende Komplexität stellt alle Branchen vor Herausforderungen. Die Herstel- ler stehen vor vielen neuen Aufgaben, um die Bedürfnisse der Kunden in Hinblick auf Qualität, Zuverlässigkeit, Sicherheit und pünktlicher Lieferung zu erfüllen. Die Outcome Economy erschwert die Erfüllung der wichtigen Leistungsindikatoren, da der Erfolg an der Leistung und nicht am Produkt selbst gemessen wird. Die Industrien müssen Wach- stum erzielen bei gleichzeitiger Aufrechterhaltung der Innovation. Daher entschei- den sie sich für eine digitale Transformation, die sie zu Initiativen ohne nachgewiesene Ergebnisse führen könnte. Courtesy of Volkswagen AG 2 Transformations-Reise Die von der ESI Group angebotenen Lösungen – das Ergebnis aus 45 Jahren Erfahrung – bringen die technologische Kompetenz mit, sich effizient und zuversichtlich zu entwickeln. Als Kernstück des ESI-Geschäftsmodells ermöglicht Virtual Proto- typing seinen globalen Kunden die Herstellung, Montage und das Verhalten ih- rer Produkte in verschiedenen Umgebungen zu validieren und so ihre Kos- ten und die Markteinführungszeit zu minimieren, ohne Abstriche bei Sicher- heit und Qualität zu machen. Um diese Ziele zu erreichen, begleitet ESI seine Kunden auf dem Weg hin zu Zero Tests, Zero Prototypes und Zero Downtime. -
NI Tools for Automated Testing
Agenda ▪ Introduction to NI ▪ Real-Time Test ▪ NI Solutions for Real-Time Test ▪ SW ▪ HW ▪ Standardizing the signal path ▪ SLSC ▪ ASAM XIL Mission Statement NI equips engineers and scientists with systems that accelerate productivity, innovation, and discovery. ni.com ONE-PLATFORM APPROACH NI SERVICES AND SUPPORT THIRD-PARTY SOFTWARE THIRD-PARTY HARDWARE WEB SERVICES NI PRODUCTIVE ARDUINO PYTHON DEVELOPMENT SOFTWARE ETHERNET C USB The MathWorks, Inc. MATLAB® GPIB .NET SERIAL VHDL NI MODULAR HARDWARE LXI/VXI AND MORE AND MORE MATLAB® is a registered trademark of The MathWorks, Inc. ONE PLATFORM APPROACH NI SERVICES AND SUPPORT Community THIRD PARTY HARDWARE Support 300,000+ Online Members 700+ Field Engineers 450+ User Groups NI PRODUCTIVE 700+ Support Engineers 9,000+ Code Examples DEVELOPMENT SOFTWARE 50+ Worldwide Offices NI ECOSYSTEM Academic Add-Ons 8,000+ Universities Worldwide 400+ Software Add-Ons 5M+ Tools Network Downloads NI ECOSYSTEM Partners NI MODULAR HARDWARE Open Connectivity 1,000+ Alliance Partners THIRD PARTY SOFTWARE 10,000+ Instrument and Device Drivers Industry-Leading Technology Partners 1,000+ Sensor and Motor Drivers Flexible Software Protects Your Investments NI TestStand NI VeriStand NI DIAdem NI InsightCM Enterprise NI Multisim LabWindows/CVI Measurement Studio Third Party Software Our Customers’ Success Electronics and Industrial Machinery Aerospace and Defense Semiconductor Academic and Research Electronics and Industrial Machinery Aerospace and Defense Semiconductor Academic and Research Transportation and Automotive Wireless Heavy Equipment Energy Transportation and Automotive Wireless Heavy Equipment Energy AEROSPACE AND DEFENSE “Through the use of advanced software architecture and NI hardware, G Systems was able to provide Lockheed Martin Aeronautics with a highly-configurable, expandable system to meet current and future requirements of the F-35 VSIF.” — Michael Fortenberry, G Systems, Inc. -
Automatic Calibrations Generation for Powertrain Controllers Using Maplesim
2018-01-1458 Automatic Calibrations Generation for Powertrain Controllers Using MapleSim Abstract development costs. Furthermore, MapleSim’s symbolic capabilities, including symbolic simplification and symbolic optimization of gen- Modern powertrains are highly complex systems whose development erated code, enable complex models to be simulated at speeds that al- requires careful tuning of hundreds of parameters, called calibrations. low real-time simulation for Hardware-In-the-Loop testing. The tool These calibrations determine essential vehicle attributes such as per- has been used in different industries, including safety critical indus- formance, dynamics, fuel consumption, emissions, noise, vibrations, tries [3]. Furthermore, the tool has been applied in powertrain model- harshness, etc. This paper presents a methodology for automatic gen- ing and analysis [4, 5, 6]. For example, [4] uses MapleSim/Maple for eration of calibrations for a powertrain-abstraction software module modeling and rapid prototyping of a powertrain. within the powertrain software of hybrid electric vehicles. This mod- ule hides the underlying powertrain architecture from the remaining In model-based development, the calibration process makes up a sig- powertrain software. The module encodes the powertrain’s torque- nificant portion of overall development efforts [7]. The calibration speed equations as calibrations. The methodology commences with process deals with tuning system parameters—calibrations—to meet modeling the powertrain in MapleSim, a multi-domain modeling and multiple requirements. Within the powertrain controls, calibrations simulation tool. Then, the underlying mathematical representation of typically reflect parameters (e.g., filters’ parameters, delays, thresh- the modeled powertrain is generated from the MapleSim model using olds, etc.) that are used for fine-tuning performance, fuel-efficiency, Maple, MapleSim’s symbolic engine. -
Optimus Rev. 2018.1 Introduces New Modeling Methods Boosted by Machine Learning
Optimus Rev. 2018.1 introduces new modeling methods boosted by Machine Learning. PRESS RELEASE Leuven (Belgium), November 5 - 2018 – Noesis Solutions, the developer of Optimus and id8, announces the release of Optimus Rev. 2018.1. This release introduces new modeling methods boosted by MaChine Learning, enabling engineering teams to Create aCCurate models for low and high-dimensional optimization problems faster. Many of the new updates that come with Optimus Rev. 2018.1 further enhance Design Space Exploration and Optimization Capabilities while increasing Compatibility with leading CAD/CAE solutions. This new release confirms Optimus as the industry’s preferred platform for Design Space Exploration and Engineering Optimization. Powerful modeling boosted by MaChine Learning. This new Optimus release introduces new modeling methods boosted by Machine Learning, enabling engineering teams to create accurate models for low and high-dimensional optimization problems even with a limited number of training data sets. The new Light Weight Neural Networks (LWNN), Random Forest Regression (RFR) and Relevance Vector Regression (RVR) algorithms assist the user in accurately modeling large data sets quickly. The new Best Model algorithm even assists non-expert users by automatically selecting the best-performing model for any given data set among the models available in Optimus. Enhanced Design Space Exploration and Optimization Capabilities In addition, Optimus Rev. 2018.1 brings several improvements to Optimus’ unique Adaptive DOE algorithm that learns from available data points and iteratively adds extra data samples in design space regions that matter most. This new Optimus release further extends the capabilities of NAVIRUN, the Noesis Advanced adviser, which now also supports discrete optimization problems. -
Simulia Community News
SIMULIA COMMUNITY NEWS #08 October 2014 THE POWER OF THE PORTFOLIO COVER STORY SIMULATION HELPS UPGRADE LONDON TUNNELS in this Issue October 2014 3 Welcome Letter Scott Berkey, Chief Executive Officer, SIMULIA 4 Portfolio Update Latest SIMULIA Portfolio Releases Deliver Powerful, Advanced Simulation Functionality to Users 8 Strategy Overview DR. SAUER How to Stay at the Top of Your Game in the Fast-Evolving 10 World of Simulation 10 Cover Story Dr. Sauer and Partners Helps Upgrade London Underground Station 13 News SIMPACK Joins the Dassault Systèmes Family 14 Case Study Stadler Rail Simulates Train Safety with FEA 17 Alliances Topology and Shape Optimization Using the Tosca-Ansa Environment 18 Case Study Fine-tuning the Anatomy of Car-Seat Comfort STADLER 20 Academic Update 14 Oil & Gas Subsurface Innovation with Multiphysics Simulations 22 Tips & Tricks Optimization Module Within Abaqus/CAE Contributors: Dr. Alois Starlinger (Stadler Rail), Dr. Alexander Siefert (Wölfel Group), Jeremy Brown and Randi Jean Walters (Stanford University), Parker Group On the Cover: Ali Nasekhian, Dr. techn., M.Sc. Senior Tunnel Engineer, Dr. Sauer and Partners Cover photo by Roger Brown Photography WÖLFEL 18 SIMULIA Community News is published by Dassault Systèmes Simulia Corp., Rising Sun Mills, 166 Valley Street, Providence, RI 02909-2499, Tel. +1 401 276 4400, Fax. +1 401 276 4408, [email protected], www.3ds.com/simulia Editor: Tad Clarke Associate Editor: Kristina Hines Graphic Designer: Todd Sabelli ©2014 Dassault Systèmes. All rights reserved. 3DEXPERIENCE, the Compass icon and the 3DS logo, CATIA, SOLIDWORKS, ENOVIA, DELMIA, SIMULIA, GEOVIA, EXALEAD, 3D VIA, BIOVIA, NETVIBES, and 3DXCITE are commercial trademarks or registered trademarks of Dassault Systèmes or its subsidiaries in the U.S. -
Lecture #4: Simulation of Hybrid Systems
Embedded Control Systems Lecture 4 – Spring 2018 Knut Åkesson Modelling of Physcial Systems Model knowledge is stored in books and human minds which computers cannot access “The change of motion is proportional to the motive force impressed “ – Newton Newtons second law of motion: F=m*a Slide from: Open Source Modelica Consortium, Copyright © Equation Based Modelling • Equations were used in the third millennium B.C. • Equality sign was introduced by Robert Recorde in 1557 Newton still wrote text (Principia, vol. 1, 1686) “The change of motion is proportional to the motive force impressed ” Programming languages usually do not allow equations! Slide from: Open Source Modelica Consortium, Copyright © Languages for Equation-based Modelling of Physcial Systems Two widely used tools/languages based on the same ideas Modelica + Open standard + Supported by many different vendors, including open source implementations + Many existing libraries + A plant model in Modelica can be imported into Simulink - Matlab is often used for the control design History: The Modelica design effort was initiated in September 1996 by Hilding Elmqvist from Lund, Sweden. Simscape + Easy integration in the Mathworks tool chain (Simulink/Stateflow/Simscape) - Closed implementation What is Modelica A language for modeling of complex cyber-physical systems • Robotics • Automotive • Aircrafts • Satellites • Power plants • Systems biology Slide from: Open Source Modelica Consortium, Copyright © What is Modelica A language for modeling of complex cyber-physical systems -
ECU-TEST Makes Automation Easy Key Features at a Glance Interfaces
PRODUCT DATA SHEET ECU-TEST makes automation easy With ECU-TEST you can intuitively create test cases for automotive software in every development phase and run them automatically – even without any prior knowledge of test automation and programming. We have designed the tool in such a way that the test quality is kept exceptionally high at all levels, although the effort it takes to use it is extremely low. Key features at a glance Bus description: • Supports a broad range of test tools and test environments (MiL/ • ARXML (Classic Platform) 4.1.1 to R20-11 SiL/PiL/HiL/vehicle) • ARXML (Adaptive Platform) to R20-11 • Uniform and effective automation of the entire test environment • DBC • Smooth collaboration through Diff and SCM integration (GIT, • FIBEX to 4.1.1 SVN) • FIBEX for Ethernet 4.1.2 • Automation of distributed test environments • FIBEX for Diagnostic Log and Trace (DLT): • Intuitive graphical user interface Analyse non-verbose Mode • Generic test-case description • LIN Description File (LDF) Integrated trace analysis module (see TRACE-CHECK ECU description: data sheet): • ASAP2 Database (A2L) • Easy analyis specification via • Executable and Linkable Format (ELF) with DWARF 2-5 • Triggered analyses • Intel HEX • Motorola S19 • Timing diagrams • Python interface • Support for all common recording formats Supported trace formats • High reusability of analyses Signal-based trace formate: • Clear presentation of results • AS3TRACE (TraceTronic) • Transition to the interactive SignalViewer • CSV • Plots enriched with result data -
Running an Abaqus Job on the Cloud
SIMULIA COMMUNITY NEWS #18 December 2017 EMPOWERED BY THE CLOUD COVER STORY DIGITAL ORTHOPAEDICS 6 | DigitalAdmedes Orthopaedics In this Issue December 2017 3 Welcome Letter Bruce Engelmann, SIMULIA R&D VP & CTO 4 Future Outlook Accessing the Latest Simulation Technologies from SIMULIA on the Cloud 6 Cover Story Digital Orthopaedics: Feet in the Cloud 10 | The Living Heart 9 Solution Highlight A Simulation Tool that Connects the Dots on the 3DEXPERIENCE Platform 10 The Living Heart on the Cloud Growing Awareness of the Value of Modeling and Simulation for Life Sciences 12 Solution Update: Virtual Human Modeling on The Cloud Advance Biomedical Engineering Through Realistic Simulation 14 Tech Tip Running an Abaqus Job on the Cloud 12 | Virtual Human 15 Alliances Using Your SIMULIA Portfolio License on the Cloud Modeling 17 Vertical Applications Democratize Analysis using Simulation Vertical Applications 18 3DEXPERIENCE for Academia + SIMULIA Bringing Innovation and Industry into the Classroom Contributors: Parker Group & Digital Orthopaedics On the Cover: Mr. Eric Halioua, Dr. Thibaut Leemrijse, Dr. Bruno Ferré, Digital Orthopaedics Photo by: Couloir 3, Paris, France 18 | Academic SIMULIA Community News is published by Dassault Systèmes Simulia Corp., 1301 Atwood Avenue, Suite 101W, Johnston, RI 02919, Tel. +1 401 531 5000, Fax. +1 401 531 5005, [email protected], www.3ds.com/simulia Editor: Tad Clarke Associate Editor: Kristina Hines Graphic Designer: Todd Sabelli ©2017 Dassault Systèmes. All rights reserved. 3DEXPERIENCE®, the Compass icon and the 3DS logo, CATIA, SOLIDWORKS, ENOVIA, DELMIA, SIMULIA, GEOVIA, EXALEAD, 3D VIA, 3DSWYM, BIOVIA, NETVIBES and 3DEXCITE are commercial trademarks or registered trademarks of Dassault Systèmes or its subsidiaries in the U.S.