Modeling capabilities

Slides:



Advertisements
Similar presentations
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Advertisements

Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Intelligent Engineering Systems Lecture.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Course Situation and Event Driven Models for Multilevel Abstraction Based Virtual Engineering Spaces Óbuda University John von Neumann Faculty of Informatics.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Óbuda University John von Neumann Faculty of Informatics
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Laboratory of Intelligent Engineering Systems Óbuda University, John von Neumann Faculty of Informatics, Institute of Applied Mathematics Before start.
Software Modeling SWE5441 Lecture 3 Eng. Mohammed Timraz
ENOVIA SmarTeam V5R17 Portfolio. ENOVIA SmarTeam 2 ENOVIA SmarTeam Offering © Dassault Systèmes, All Rights Reserved. Community: Strict access to.
University of Jyväskylä – Department of Mathematical Information Technology Computer Science Teacher Education ICNEE 2004 Topic Case Driven Approach for.
Page - 1 Rocketdyne Propulsion & Power Role of EASY5 in Integrated Product Development Frank Gombos Boeing Canoga Park, CA.
Introduction to virtual engineering László Horváth Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.
© 2012 Autodesk AutoCAD ® Map 3D 2013 What’s New Lynda Sharkey Technical Marketing Manager.
Process: A Generic View n A software process  is a roadmap to building high quality software products.  provides a framework for managing activities.
Day 1 Session 2/ Programme Objectives
Goal: Understand the stages in design process and the role of computer aided design. Objectives: After this chapter, you should understand the following.
1 REQUIREMENT ENGINEERING Chapter 7. 2 REQUIREMENT ENGINEERING Definition Establishing what the customer requires from a software system. OR It helps.
1 Chapter 2 The Process. 2 Process  What is it?  Who does it?  Why is it important?  What are the steps?  What is the work product?  How to ensure.
WXGE 6103 Digital Image Processing Semester 2, Session 2013/2014.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Reusing physical assets through reverse engineering in NX
Illustrations and Answers for TDT4252 exam, June
The System and Software Development Process Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Introduction to Design Engineer Analysis
Process: A Generic View
Pleasing in appearance.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
In the Main Stream of Emerging Engineering University Research and Innovation Centre and Institute of Applied Mathematics, John von Neumann Faculty of.
Course, Curriculum, and Laboratory Improvement (CCLI) Transforming Undergraduate Education in Science, Technology, Engineering and Mathematics PROGRAM.
Introduction to virtual engineering László Horváth Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.
Lecture and laboratory No. 5 Modeling of behavior of Engineering Objects. Realistic simulation Óbuda University John von Neumann Faculty of Informatics.
Laboratory No. 1 Systems for Lifecycle Management of Product Information Óbuda University John von Neumann Faculty.
Lecture and laboratory No. 8 Connection between real and virtual world objects Óbuda University John von Neumann Faculty of Informatics Institute of Applied.
Lecture and laboratory No. 13 Product data management and exchange Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics.
Overview of CATIA V5.
Lecture and laboratory No. 10 Modeling product as system Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Master.
Laboratory No. 2 Functionality of Engineering Modeling Systems Objects in Model Space Structure of Engineering Configuration Óbuda University John von.
Lecture and laboratory No. 3 Connections Within and Between Solid Representations Óbuda University John von Neumann.
Virtual World for Engineers
1. Modeling Product as a System
Finite element mesh and load definition
How IoT Initiatives are Changing Product Development.
Day 1 Session 2/ Programme Objectives
DELMIA Master product description V6 for Academia portfolio
Cross Disciplinary Definition
Shape Modeling by Form Features
Representation of Geometry in Model Space
Human and Computer Óbuda University
Introduction to the course
Modeling robot systems
Óbuda University John von Neumann Faculty of Informatics
CAD/CAM services for mold tooling design in catia are beneficial. CAD/CAM services can ensure the design of complex molds, together with associated drillings,
CAD/CAM services ensure complete Mold Tooling design in catia process coverage for mold tooling injection designers. CAD/CAM services use a predefined.
Virtual engineering An outline of basic methods in virtual space
Systems for Lifecycle Management of Product Information
Electrical wiring harness interoperability: functionalities of AP242 ed2; preparation of the STEP 'electrical' Implementer Forum By Sophie Hérail (CIMPA.
Analysis on the principle of finite elements (FEM/FEA)
Functionality of Engineering Modeling Systems Objects in Model Space
Introduction To software engineering
Smart Learning concepts to enhance SMART Universities in Africa
Definition features for printed circuit board
Model data and exchange between different models. ISO
Realistic multiphysics analysis
Advancing Children’s Engineering Through Desktop Manufacturing
Models of cooperating systems
Component connections
MBSE for PLM: Part of the Digital Systems Life Cycle
Requirements and Objectives for holistic PLM
Model of robot system Óbuda University
Presentation transcript:

Modeling capabilities Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Master in Engineering Informatics and Applied Mathematics Course System Level Modeling for Cyber-Physical Engineering Structures in the Cloud Lecture and laboratory No. 06 Modeling capabilities Dr. László Horváth http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ This presentation is intellectual property. It is available only for students in my courses. The screen shots in this presentation were made in the CATIA V5 and the V6 PLM systems as well as the 3DEXPERIENCE platform at the Laboratory of Intelligent Engineering systems, in the course of active modeling process. The CATIA V5 és V6 PLM systems as well as the 3DEXPERIENCE platform are operated at the above laboratory with the support of Dassult Systémes Inc. and CAD-Terv Ltd. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Contents Lecture Roles of participants in engineering project. Roles and groups of modeling capabilities for role Groups of modeling capabilities for model space available on dashboard Groups of modeling capabilities for simulation available on dashboard Groups of modeling capabilities for collaboration available on dashboard Role and related task on the example of Aesthetical Shape Modeler. Role and related task on the example of Systems Behavior Optimization. Role and related task on the example of Software Engineer Role and related task on the example of Ergonomics Specialist Laboratory task Slm_CS_06 case study: Mathematical surface representations as contexts of solid László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Roles of participants in engineering project Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Roles and groups of modeling capabilities for role Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Groups of modeling capabilities for model space available on dashboard Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Groups of modeling capabilities for simulation available on dashboard Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Groups of modeling capabilities for collaboration available on dashboard Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Role and related task on the example of Aesthetical Shape Modeler DESIGN/STYLING Aesthetical Shape Modeler Achieve high level surface quality while respecting aesthetic and technical constraints with a set of specific surface modeling applications, functions and analysis tools. Increase shape quality and precision to improve the final product’s perceived quality. Experience specific surface modeling, reverse engineering functions and analysis tools to create surfaces and deliver a new level of surface quality. Re-use and re-work geometry to reduce and optimize the iteration with creative designers. Creation of subdivision surfaces, technical surface and advanced explicit surface modeling tools. Dedicated features for shape quality conversion and improvement. Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Role and related task on the example of Systems Behavior Optimization SYSTEMS ENGINEERING Systems Behavior Optimization Optimize and tune systems parameters of a device or its controller to improve system dynamics for multiple criteria and multiple cases. Tune Modelica model parameters for better systems performance, e.g. the gear ratio of a gearbox or the parameters of a system controller. Optimize system parameters so that the overall system behavior is improved. Derive mathematical optimization criteria from simulation results, by frequency responses or by Eigenvalue analysis. Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Role and related task on the example of Software Engineer INTELLIGENT PRODUCT CONFIGURATIONS Software Engineer Collaborative connected environment to implement software in the context of a multi-discipline product development. Improve Multi-discipline collaboration Enforce Best Practices by incorporating enterprise governance and process flows Gain transparency to the latest software content submitted against a software item release for better code reviews, knowledge transfer and root cause analysis. Ensure integration and connection to upstream and downstream process, including change requirements management. Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Role and related task on the example of Ergonomics Specialist INDUSTRIAL ENGINEERING Ergonomics Specialist Human-Centric Product and Workplace Design Fully utilize the Ergonomics data libraries faster and easier  Easily manipulate manikins Provides enhanced experience for posturing capabilities Switch manikin population Assess manikin vision Calculate the moments and forces with bio-mechanics analysis Provides push, pull and carry analysis Detect risks with rapid upper limb assessment Evaluate with clash analysis Manage manikin attribute data Source: Dassault Systémes László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid Definition of thematic model and its analysis and understanding for lecture issues as individual laboratory work of each student. Issues Work planes for position of shape in model space Rule based surface definitions and their contexts Surface combinations Surface based solid form features. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid Structure of connected shape model László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid Structure of connected shape model László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/ Slm_CS_06 case study: Mathematical surface representations as contexts of solid Structure of connected shape model László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/