Design of complex engineering products and systems such as wind-turbines has traditionally been very time consuming and expensive. Such projects often involve expensive and complex engineering simulation tools and require expert knowledge of engineering design, manufacturing and financial techniques. Furthermore, substantial amount of time is spent on coordinating these diverse functions, collaborating, communicating and integrating different work products. BladeMDA is a product design to address these inefficiencies.
Working with multiple university and industry partners and collaborators, SimInsights developed a web-based collaborative simulation based design environment for wind turbine design. This app encompasses the complete process starting from deciding the location of the turbine and power generation capacity to full engineering validation using finite element, aerodynamics and manufacturing simulation tools, to manufacturing process simulation as well as financial modeling, all in a seamlessly integrated environment.
Successful implementation of this software approach will reduce barriers to entry for smaller composite material developers and shorten cycle times. A unique aspect of this product is that it integrates engineering design, manufacturing and financial analysis into a seamless workflow to enable unprecedented collaboration across traditionally disparate disciplines. This project was funded by DMDII to lead company Green Dynamics, and other partner organizations include MetaMorph Inc.; University of Delaware; Vanderbilt University; PTC, Inc.; MSC Software Corporation; Pennsylvania State University, Applied Research Laboratory.
- Multidisciplinary design of composite structures like wind turbine blades.
- Combine structural, manufacturing and financial objectives and constraints.
- Seamlessly integrate industry leading simulation tools for finite element analytics, infusion and aerodynamics.
- Intuitive user interface hides complexity of simulation tools.
- Detailed financial model including capital and labor costs.
- Open architecture and extensible design.
- Service oriented architecture.
- AngularJS based responsive front end.
- Amazon Web Services based cloud back end.
- Real time notifications.
- Rich data visualizations for decision support.