This issue of Ansys Advantage describes how organizations around the world are using explicit dynamics, automated design analysis, additive manufacturing and materials data to develop cutting-edge products more efficiently.
Facing an increasingly competitive, threat-filled environment, aerospace and defense companies must digitally transform to deliver radical innovation. Complex software requirements (including safety and security), and emerging initiatives associated with model-based engineering and open system architectures can make it difficult to manage cost and schedule constraints. Traditional approaches are becoming less effective and may raise knowledge transfer obstacles, resulting in difficult or impossible-to-maintain designs. In this webinar, we will focus on a key enabler for developing your companies’ model-based systems engineering (MBSE) framework in compliance with standards promoting open avionics environments and interoperability: model-based software development tools.
As part of a global MBSE workflow, the system and software architecture, components, and design requirements must be properly defined and efficiently tested. In order to operate at the highest level of safety and meet DO-178C requirements for avionics software certification, software designers and developers will need to leverage model-based development tools for high-reliability embedded control, display and human-machine interface applications. This webinar will demonstrate how Ansys SCADE supports efficient embedded software development in accordance with DO-178C (up to DAL-A) along with FACE™ and ARINC 661, in order to efficiently develop portable and reusable avionics applications. Model-based techniques, qualified code generation and test automation features also enable streamlined design, verification and validation, decreasing the total avionics software development effort by as much as 50%.
Simulation has long been used to improve the design of nearly every physical product or process by providing the opportunity to evaluate a wide range of alternative designs prior to building physical prototypes. Simulation has also long been used to model different operating scenarios to develop control strategies that are incorporated into control algorithms to improve operations. The emergence of the Internet of Things (IoT) has created the potential for a transformational journey in which a simulation model of the product or process is tied through the Internet to sensors capturing data and to actuators controlling its operation. The result is a so-called digital twin of the physical product or process that can be used to analyze and diagnose its operation and optimize its performance and maintenance in real time. By using simulation in conjunction with the IoT, companies can analyze the performance of products in real-world operating conditions and make confident predictions about future performance to improve product operation and productivity, and to reduce the cost and risk of unplanned downtime.
Quintessence Yachts partners with luxury automotive brands to apply sports car design to powerboats. To market its AM37 model, the company uses the high-tech, virtual reality product configurator ANSYS Theia-RT. Potential customers can explore and experience custom lighting, materials and color options in an immersive, “on-the-water” environment.