1. Virtual World for Engineers
Óbuda University
John von Neumann Faculty of Informatics
Institute of Applied Mathematics
Master in Engineering Informatics
Course Modeling and design
Lecture and laboratory No. 1
Virtual World for Engineers
László Horváth

2. 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 tis presentation was made in the CATIA V5 és V6 PLM systems the Laboratory of Intelligent Engineering systems, in real modeling process.
The CATIA V5 és V6 PLM systems operate in the above laboratory by the help of Dassult Systémes Inc. and CAD-Terv Ltd.
László Horváth UÓ-JNFI-IAM

3. Contents
Lecture
About aims and program of this MSc course
About the Laboratory
Paradigm shifts in engineering modeling
Modeling industrial product as system
Integrated product information model (IPIM, from 90s)
Organizing modeling capabilities for industries, disciplines and roles
Object model of contextual features
Communication between human and model generation procedures
Essential methods for feature definition
How contextual chains of the generic model work? Experiments.
RFLP and PPR structures
Model integration issues
Laboratory MD 1.1 and MD 1.2 exercises.
László Horváth UÓ-JNFI-IAM

4. About aims and program of this MSc course
To learn about and experience leading virtual information technology and engineering systems which are wide spreading in leading industries.
Study methods for modeling industrial product as system. This is necessary because products have changed: multidisciplinary, cooperating systems, high complexity, cyber-physical-biological systems.
Understand descriptions and representations in engineering models. Thinking in information structure and seeing this in the viewport.
Generic, contextual knowledge based product representation which is controlled by outside defined parameters.
Coordinated human and outside system contributions to integrated model of multidisciplinary product. Integrated application of disciplines such as mathematics, informatics, systems engineering, physics, and engineering areas.
Situation and event driven adaptive generic engineering model.
Understand recent trend to Integrate theory, methodology, and experience in a single model. Learn about virtual environment which is capable to handle all of the innovation cycle and has active physical connections.
László Horváth UÓ-JNFI-IAM

5. About the Laboratory About aim and program of this MSc course
Laboratory of Intelligent Engineering Systems (Óbuda University)
Research in system level and high abstraction centered intelligent product modeling (2005-).
Worldwide recognized and published research.
Course laboratories in leading industrial professional virtual environment.
Recent world wide achievements are included in courses.
Laboratory system applies the representative new generation engineering modeling and management technology by Dassault Systémes.
Platforms in laboratory system
Current: V5 (Reference: Boeing 787 Dreamliner) and V6 (Reference: Airbus A 350)
Future plan: 3DEXPERIENCE in cloud.
More information at the site of the laboratory.
László Horváth UÓ-JNFI-IAM

6. Paradigm shifts in engineering modeling
The paradigm is an approved totality of thinking, belief, values, and methods in a particular field.
Shape model and equipment control definition. (70s-80s)
Resource based integrated product information model (IPIM, ISO13303). (90s)
Integrated generic model with knowledge driven contextual model for lifecycle of product (PLM). (2000-)
Multidisciplinary integrated model of product system (RFLP structure) using behavior representation and
and intellectual property (IP). (2010-).
Organizing modeling capabilities by industry, discipline, and role. (2015-)
Model of cyber-physical-biological system (2016-)
László Horváth UÓ-JNFI-IAM

7. Modeling industrial product as system
Highly engineered multidisciplinary Products
Discipline independent model of product concept is required
Product behavior analysis on product concept level
Product must be modeled as a system
Requirement
Requirements the product has to fulfill
Definition of product in RFLP model structure from systems engineering (SE)
Function
To fulfill its requirements
Logical
Structure of logical components.
Active knowledge driven generic product model
Physical
Representations of real world product.
Model modifies itself for changed situation and new events through chains of contextually connected feature parameters.
Collaborating systems operate the product.
Cyber-physical-biological system.
László Horváth UÓ-JNFI-IAM

8. Integrated product information model (IPIM, from 90s)
Unified modeling of product as a whole in a complete, compact and consistent representation: ISO STEP (Standard for Exchange of Product Model Data). International data communication standard for product model and data exchange.
Information serves decision making
Model which is capable to describe all product information to support all engineering activities during the lifecycle of product.
Model can be shared without loss of information.
Some information is not allowed to share or share is restricted.
László Horváth UÓ-JNFI-IAM

9. Organizing modeling capabilities for industries, disciplines and roles
Examples from products of the Dassault Systémes Inc.
Industries
Aerospace & Defense
Architecture, Engineering & Construction
Consumer Goods & Retail
Consumer Packaged Goods & Retail
Energy, Process & Utilities
Financial and Business Services
High-Tech
Industrial Equipment
Life Sciences
Marine & Offshore
Natural Resources
Transportation & Mobility
Solutions for Industrial Equipment Industries
CATIA Machine and Equipment Design Engineering:
CATIA Machine & Equipment Designer
CATIA Shaped Machine & Equipment Designer
CATIA Plastic Part & Mold Design
CATIA 3D Master
CATIA Electrical Design
CATIA Fluid Systems
CATIA Systems Engineering
László Horváth UÓ-JNFI-IAM

10. Organizing modeling capabilities for industries, disciplines and roles
Examples from products of the Dassault Systémes Inc.
Systems disciplines
Several roles for electrical systems discipline
Systems Architecture
Electrical systems
Fluid systems
Modelica Systems simulation
Modelica Systems  libraries
System Schematic Designer
Electrical 3D Systems Designer
Cable tray 3D Systems Designer
Electrical Manufacturing Preparation Engineer
Printed Circuit Board Designer
Electrical Designer
László Horváth UÓ-JNFI-IAM

11. Object model of contextual features
General information schema
Model information schema
Object
Class (in taxonomy)
Paramaters
Relationships (contexts)
Procedures
Feature
Properties
Type with parameters
Representation. In case of shape feature, topology structured geometry.
Contextual chain for propagation of parameter changes.
Contextual connection
Parameter
Parameter
Feature driven model: feature acts on previously defined features though contextual connections of its parameters.
Model must be contextually consistent.
Real-time monitoring and simulation prevent the creation of erroneous results.
László Horváth UÓ-JNFI-IAM

12. Communication between human and model generation procedures
Using appropriately configured model which is also defined by students at laboratory.
Viewport
Provides sight into the model space.
Serves communication with model generation procedures.
No drawing, no editing, this is definition by control of model generation procedures.
Shape model
Mathematical representation constructed by control of mathematical procedures.
It includes a set of contextual surface represenattion in topological structure.
Definition process can be included in the model to reuse.
László Horváth UÓ-JNFI-IAM

13. Essential methods for feature definition
Using appropriately configured model which is also defined by students at laboratory.
Theories and methods which are understood at definition of model and experiments using active model:
Cartesian coordinate system and transformations.
Relating model space and plane in it.
Definition of shape using dynamic navigator.
Object and its parameters.
Feature, its attributes and parameters.
Context and contextual chain.
Active and passive parameter.
Constraint as context.
Offset of a surface.
Boundary representation at model definition.
Transformation of full featured solid body.
Function of the space pilot device at the definition of model.
László Horváth UÓ-JNFI-IAM

14. Essential methods for feature definition
Using appropriately configured model which is also defined by students at laboratory.
Work at the mode space in a preselected plane.
Dynamic navigator proposes variants and accepts quick human control. High number of objects are generated to prepare arbirary valid modifications in the future by contexts.
László Horváth UÓ-JNFI-IAM

15. Essential methods for feature definition
Definition of revolution surface in the context of meridian contour, revolution axis, and extension angles. These parameters can be controlled by their contexts and can be related. This is a generation rule based surface.
László Horváth UÓ-JNFI-IAM

16. Essential methods for feature definition
Definition of solid feature between the complex boundary surface and its ofset.
László Horváth UÓ-JNFI-IAM

17. Essential methods for feature definition
The procedure which generates the curve places functions at four predefined points to interpolate them. Point positions can be controlled. The modeling system applies standard NURBS representation.
László Horváth UÓ-JNFI-IAM

18. Essential methods for feature definition
Generating surface using the tabulation rule in the context of curve, a vector perpendicular to curve, and limits of extension.
László Horváth UÓ-JNFI-IAM

19. Essential methods for feature definition
Detail of feature parameter list of the model at current stage. These parameters were defined by modeling procedures. Additional parameters can be defined as required. Parameters can be related by formulas.
László Horváth UÓ-JNFI-IAM

20. Essential methods for feature definition
Definition of a tabulated solid using the same closed contour as at rotational part as context. Additional contexts are vector along which tabulation proceeds and tabulated surface as limit.
László Horváth UÓ-JNFI-IAM

21. Essential methods for feature definition
Definition of reference plane for a subsequent definition. This plane is not included in boundary.
László Horváth UÓ-JNFI-IAM

22. Essential methods for feature definition
Mirror model definition by transformation using the reference plane. The mirrored model is full-featured. It transform the original. The resulted solid body consists of two lumps.
László Horváth UÓ-JNFI-IAM

23. Essential methods for feature definition
The original and the transzformated lumps are connected by tabulated solid using appropriate surfaces as limits. Additional context is a closed contour which consists of three circle.
László Horváth UÓ-JNFI-IAM

24. Essential methods for feature definition
The original and the transzformated lumps are connected by tabulated solid using appropriate surfaces as limits. Additional context is a closed contour which consists of three circle.
Active tree structure shows the contextual features.
László Horváth UÓ-JNFI-IAM

25. How contextual chains of the generic model work? Experiments.
Two more constraints are defined on the previously defined closed contour.
László Horváth UÓ-JNFI-IAM

26. How contextual chains of the generic model work? Experiments.
The constraint is also a modification feature. It has three parameters.
László Horváth UÓ-JNFI-IAM

27. How contextual chains of the generic model work? Experiments.
Ofset parameter value was changed.
László Horváth UÓ-JNFI-IAM

28. How contextual chains of the generic model work? Experiments.
The parameter change was propagated along contextual changes .Contextual parameters gained new values throughout the shape model.
László Horváth UÓ-JNFI-IAM

29. How contextual chains of the generic model work? Experiments.
„Activity” parameter of the highlighted constraints was changed for „False” to male it inactive.
László Horváth UÓ-JNFI-IAM

30. How contextual chains of the generic model work? Experiments.
It is not forbidden for the dynamic navigator to allow manual change position of this straight segment of the closed contour any more.
The constraint is inactive
László Horváth UÓ-JNFI-IAM

31. How contextual chains of the generic model work? Experiments.
Supported by real time checks and simulation, the relevent geometric processing procedures found the change as not feasible.
László Horváth UÓ-JNFI-IAM

32. How contextual chains of the generic model work? Experiments.
The reactivated constraint acted to redefine the valid model. It also can be concluded that the allowed range of constraint offset parameter must be restricted to avoid incorrect model generation attempts when model modifies itself.
László Horváth UÓ-JNFI-IAM

33. How contextual chains of the generic model work? Experiments.
Offset parameter value of the mirroring reference plane is increased in this experiment.
László Horváth UÓ-JNFI-IAM

34. How contextual chains of the generic model work? Experiments.
Fillet feature is defined on a group of topological edges. Real mathematical surfaces are generated in the boundary representation.
László Horváth UÓ-JNFI-IAM

35. How contextual chains of the generic model work? Experiments.
Change of position of contextual points of curve changes shape of body through contextual chains.
László Horváth UÓ-JNFI-IAM

36. Model in RFLP structure
Requirements against product.
Functional model for requirements.
Logical model for functions.
Physical level model.
László Horváth UÓ-JNFI-IAM

37. PPR structure for manufacturing
Process model for manufacturing
Manufacturing system model
Model of manufacturing resources
László Horváth UÓ-JNFI-IAM

38. Model integration issues
A quick outline of modeling for connection of solid part shape model with related models to achieve model integration.
László Horváth UÓ-JNFI-IAM

39. Object model of a solid body
László Horváth UÓ-JNFI-IAM

40. Propagate a model in a model base
László Horváth UÓ-JNFI-IAM

41. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/
Integration of a part
László Horváth UÓ-JNFI-IAM

42. Integrating environment representation
László Horváth UÓ-JNFI-IAM

43. Integrating material information
László Horváth UÓ-JNFI-IAM

44. Propagate in a model base
László Horváth UÓ-JNFI-IAM

45. Integrating engineering connection
László Horváth UÓ-JNFI-IAM

46. Integration kinematics
László Horváth UÓ-JNFI-IAM

47. Integration of simulation
László Horváth UÓ-JNFI-IAM

48. Propagate in a model base
László Horváth UÓ-JNFI-IAM

49. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/
Work in the laboratory
Model name:
MD00Sxxxx11
Subject
Year
T or O
Student
Task
Only actual task related activities are allowed on workstations.
Thematic laboratory tasks are mandatory.
Specially composed laboratory tasks do not require special skill in advance because teacher instruct actually.
This is a contextual system in which model is active in accordance with modeled contexts. Unwanted contexts active: do not use unnecessary objects and procedures at laboratory work.
Course program supposes continuous disciplined work.
László Horváth UÓ-JNFI-IAM

50. Laboratory MD 1.1: Essential methods for feature definition
Exercise: MD 1.1
Development the model which was explained in the previous part of this presentation.
László Horváth UÓ-JNFI-IAM

51. Laboratory MD 1.2: getting initial skill in model definition
Exercise: MD 1.2
Understanding model space
Placing objects in model space
Understanding work in plane in space.
Understanding contextual chain.
László Horváth UÓ-JNFI-IAM

52. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM

53. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM

54. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM

55. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM

56. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM

57. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM

58. Laboratory MD 1.2: getting initial skill in model definition
László Horváth UÓ-JNFI-IAM