Manufacturing News

ANCA Motion deploys dynamic modelling laboratory software

ANCA Motion has deployed Dassault Systèmes Dymola 2013 dynamic modelling laboratory.

The deployment will assist ANCA Motion in all future model-based development encouraging innovation, increasing speed to market and reducing costs during the product design process.

Headquartered in Melbourne, ANCA Motion is a specialist in the manufacture and development of machine control systems.

Dassault Systèmes Dymola is a tool for modelling and simulation of integrated and complex systems for use within automotive, aerospace, robotics, process and other applications.

ANCA Motion plans to use Dymola for programs such as electrical and mechanical modelling, enabling the company to create and explore multiple iterations of models representing products under development.

One of the first products to be designed with the help of the software will be the ANCA Motion's next-generation drive.

The deployment of Dymola followed a six week trial during which the software was tested by modelling designs for ANCA Motion's active in-feed drives. The deployment and trial were supported by Dassault Systèmes Australian partner MEMKO.

Craig Fletcher, Systems Engineering Team Leader, ANCA Motion, stated, “Model-based development is a very flexible approach that allows us to do a lot of design work up front, before any actual product exists.

"Using Dymola to create models that represent physical reality, we can obtain a better quality result because we are able to try out 50 different solutions to a problem, all with varying capabilities, and then choose the one that is optimal.  In the process we save money and time.”

One of the key reasons for selecting Dymola was its ability to work with Modelica, a non-proprietary, object-oriented, equation based language for modelling complex physical systems.

Unlike some other modelling solutions, Dymola supports the entire current Modelica library specification and facilitates porting to and from older Modelica libraries.

Other factors contributing to the decision include the software's efficiency in handling transitions from one state or mode to another, and its speed in solving modelling equations.

“Increasing our use of model-based development will allow ANCA Motion to become more innovative. It provides a way of quantifying decisions, so that the right choice is no longer the result of a discussion around a table. Decisions can be based on real data,” Fletcher added.

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