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White Paper: Stories from Industry - Doing System-Level Modeling for the First Time

The high demands placed on engineering teams are requiring new technologies and tools that can help turn out higher quality products with fewer costly, late-stage design changes. Many engineers are familiar with some modeling techniques such as CAD or FEA, but they have yet to embrace a system-level modeling approach to analyze the dynamics of their entire design in a fully integrated way.

White Paper: Unlocking Commercial Knowledge - How System-Level Modeling forms the Basis for High-Performance, Low-Risk Designs

What do we mean by system-level modeling? Generally, we are referring to a modeling process that uses physics-based components, connected together in a system spanning multiple physical domains. These models are a mix of discrete and continuous systems that aim to replicate the product’s performance in real life – a virtual prototype upon which testing occurs.

White Paper: Industry 4.0 and the Power of the Digital Twin

Adopt a systems approach to machine design and survive the next industrial revolution.

White Paper: Advanced System-Level Modeling of Complex Machines

This article illustrates how engineers involved in the design of complex machines are making significant strides in their work with the help of the Maplesoft Engineering Solutions team. Learn more about such diverse projects as revolutionary mining equipment, more reliable offshore machines, a parametric approach to designing an industrial pick-and-place robot, and improved performance of crane control systems.

White Paper: Model-Driven Innovation

The Model-Driven Innovation approach, and its emphasis on employing virtual prototyping at the system-level, is an invaluable technique when designing complex systems. This approach means that: Problems can be fixed before the system integration and physical prototyping stages. Project delays can be avoided because engineers are able to quickly detect, and correct, problems that arise due to the interactions between different subsystems. Systems can be analyzed, and designs validated and improved with access to the underlying mathematics. By employing this approach, companies can reduce development risks, develop better products, and get to market faster.

Release Notes: MapleSim 2016.2

The MapleSimTM 2016.2 family of products includes significant enhancements in the areas of model development and toolchain connectivity.

Model Driven Innovation with MapleSim

MapleSim's capabilities provide model-driven innovation by helping identify problems early in the engineering process.

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