Automotive

We focus on helping our clients shorten development time by providing the following deliverables:

  • High-fidelity modeling of chassis and powertrain dynamics
  • Multi-objective Design Optimization (MDO) - using Design Exploration to generate balanced solutions meeting desired performance for attributes such as noise, vibration, harshness (NVH), handling, ride, driveability, durability, and more.  
  • Automation of simulation processes to increase efficiency
  • Tire measurement for Durability, Handling and Ride applications
  • Driving Simulator hardware, software and services
  • Mechatronics simulation with connected mechanical and ADAS models
  • Process assessments to identify bottlenecks, define roadmaps, and maximize return on Computer Aided Engineering activities.

 

 

 

 

 

 

 

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Process Automation

Duration: 1 day (8 hours)

Fee: 1000 EUR (purchase order is required)

New training course date coming soon!

This hands-on course will provide you with the necessary background and skills to effectively implement Process Automation in your workflow.  The training focus on how to model your process and how to integrate your workflow using Python as platform for efficient implementation.

Learning objectives:

  • Learn how automation can be used in CAE
  • How to model and evaluate your processes
  • Identify processes suited for automation
  • How to choose the right automation strategy and tools
  • Programming for automation

 

Agenda:

 

 

Introduction to automation

  • What is Automation?
    Uses of Automation in CAE
    Automation tools

 

Automation procedure

  • Process modeling and evaluation
  • Automation strategies and considerations
  • Adapting the process (KRAC method)
  • Estimating the gains (ROI)

 

Automating using Python (hands-on)

  • Python basics
  • Programming best practices
  • Automation using Python

 

Pre-processing

  • Files and folder manipulation
  • Strings manipulation

 

Processing

  • Terminal commands and subprocesses
  • Creating a wrapper

 

Post-processing

  • Parsing result files
  • Creating plots and figures using matplotlib
  • Generating reports

 

Creating a master script

 

 

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