How Siemens Energy is advancing turbine engineering

The demand for greener aviation, clean energy and sustainability is driving the need for new types of turbomachinery applications. However, the challenge lies in bringing these products to market quickly and with minimal risk. A new and innovative approach to design is required, one that can efficiently discover new designs while minimizing time and costs.

Innovation necessitates stepping outside of one's comfort zone and managing increased risk. This involves developing and evaluating multiple design options simultaneously and considering competing design objectives within a tight timeframe.

This webinar will feature Siemens Energy, a global leader in energy technologies, and how they meet this challenge using multidisciplinary analysis and optimization (MDAO) using the Siemens Xcelerator business platform. MDAO is a methodology that helps identify robust designs from a wide range of options, making it an integral part of product development.

Siemens Energy has implemented an industry-leading MDAO workflow with the support of Simcenter simulation technologies. This environment incorporates advanced features such as expanded enterprise knowledge capture, design assistants powered by artificial intelligence (AI) and reduced-order modeling that can operate in near real time. These advancements, including data science methods like machine learning, have significantly improved the quality and efficiency of the design process.