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5KO CATIA V5 Knowledgeware Optimierung

CATIA V5 Knowledgeware Optimierung Icon CATKWE
Zielgruppe:Konstrukteure
Voraussetzung:

Grundkenntnisse V5 (5BK), Kenntnisse Formeln und Parameter (5KB oder 5PE)

Lernziel:Automatisierte Prüfung von Vorgaben und Optimierung von Parametern

Kursinhalte

  • Erzeugen von Checks & Rules und Generieren von Prüfberichten
  • Optimierung von Parametern unter Berücksichtigung konstruktiver Vorgaben und Zwangspunkte

Detaillierte Kursinhalte anzeigen

5KO – Detaillierte Kursinhalte:

Knowledge Expert KWE

Introduction to Knowledge Expert:

What is Knowledge Expert,
Accessing Knowledge Expert Workbench,
User Interface,
User Settings,
Knowledge Expert Terminology.

Creating and Using an Expert Rule:

Creating an Expert rule,
Solving a Rule Base,
Using Knowledge Browsers,
Managing the Structure of the Rule Base.

Creating and Analysing an Expert Check:

Creating an Expert Check,
Analysing Expert Checks,
Generating Check Reports.

Using a Rule Base:

Rule Bases and Collaborative Work,
Creating Expert Rules or Checks on UDF,
Accessing the Expert Rule/Check in the Body.

Product Engineering Optimizer PEO

Workbench Presentation:

Accessing the workbench,
PEO User Interface,
Checking User Settings,
Terminology,
Understanding the general Process.

Optimization Problem Formulation:

Accesssing PEO Workbench,
Accessing PEO Editor,
Selecting the Optimization Type,
Defining the Objective Function,
Specifying a Range and a Step for a Free Parameter,
Accessing the Constraint Editor,
Formulating a New Constraint,
Assigning Weights to Contraints,
Editing a Constraint,
Deactivating and Deleting a Constraint.

Optimization Problem Resolution:

Selecting the algorithm,
Specifying the Termination criteria,
Running the optimization,
Exercises Presentation.

Solution Analyses:

Analysing the optimization results,
Exercises Presentation.

Best Practices for Optimization with PEO:

Selecting the best algorithm,
Defining the Termination criteria,
Defining constraints.

Design of Experiments tool:

Introduction,
Selecting Input parameters,
Selecting Output parameters,
Analysing the results,
Predicting an output value,
Exercises Presentation.

Constraint Satisfaction tool:

Introduction,
Creating constraints,
Specifying the number of solutions,
Setting the options. 

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