March/April 2025

Renovating modern dry gas seals and their systems increases reliability.

Although torsional vibrations in turbomachinery trains are usually well-controlled, issues should be addressed proactively during the design process.

Leveraging visioning systems and rule-based knowledge, while not AI, provides repeatable and reliable repairs for the aerospace and industrial gas turbine industries.

Industry leaders are adapting maintenance strategies to incorporate data-driven insights and provide rapid, efficient solutions that keep critical equipment running.

The Turbomachinery Laboratory at Texas A&M researches compressors, turbines, and pumps, fostering collaboration between academia and industry.

The March/April issue focuses on maintenance and repair and how data and AI are impacting the field and highlights our latest Turbo Tour.