Description
Challenge:
The design process of high-quality electro-mechanical electric drives with flexible prototyping and manufacturing requires finding optimal geometric, electric, magnetic and thermal parameters of the rotor, stator, winding and power electronics components. The complex interdependencies of these parameters affect the thermal behaviour, efficiency and production costs of these products. Furthermore, long simulation and optimization cycles have an important effect on time -to-market of electric drives, which is a key performance parameter for companies developing them.
Solution:
LCM has developed a software platform that makes it possible to carry out digital development or optimization of mechatronic components and systems from the design stage up to prototype testing. A key characteristic of SyMSpace is that holistic optimizations, considering several different engineering domains, can be performed from a cloud platform. This allows for drastic reduction of simulation and optimization time which results in important reduction of the design to prototyping cycles. As the platform charges users in a using a pay-per-use model, large hardware and software investments are no longer required for companies requiring High Performance Simulations to improve their products and processes.
SyMSpace optimizes electric drives by linking several simulation tools passing data from one to another (e.g. the geometric and winding data to an electromagnetic solver, the obtained losses to the thermal model, and so on) and automatically running this simulation chain.
The simulation model is constructed such that it can be generally applicable to the design of electric drives. Therefore, other companies addressing the electrical drive design market in other application areas (automation, aerospace, automotive, consumer, etc.) can also make use of this model.
Implementation time: 12 months.
Implementation cost: N/A.
Output
A key characteristic of SyMSpace is that holistic optimizations, considering several different engineering domains, can be performed from a cloud platform. This allows for drastic reduction of simulation and optimization time which results in important reduction of the design to prototyping cycles. As the platform charges users in a using a pay-per-use model, large hardware and software investments are no longer required for companies requiring High Performance Simulations to improve their products and processes.
In this context, the objective of this project is customizing SyMSpace for the design of electric drivers using the Cloud SME platform. The resulting cloud-based simulation is demonstrated by optimizing the design of drives of Hanning, a company specialized in the development and production of customized drive systems and components.
Impact
SyMSpace optimizes electric drives by linking several simulation tools passing data from one to another (e.g. the geometric and winding data to an electromagnetic solver, the obtained losses to the thermal model, and so on) and automatically running this simulation chain. The simulation model is constructed such that it can be generally applicable to the design of electric drives. Therefore, other companies addressing the electrical drive design market in other application areas (automation, aerospace, automotive, consumer, etc.) can also make use of this model.
This experiment has been supported under wave 1 of CloudiFacturing project. (See this experiment in project’s site)
Project:
Enterprises:
Hanning Elektrowerke (End user); Scale Tools (System Integrator); Linz Center of Mechatronics, GmbH (Tech Provider); Lund University, DFKI & Cloudbroker (RTOs) ‘
Sector
Transport
Keywords
