Engine testing is done in the same way and for the same duration that will be needed during an actual launch. The idea is to replicate as close as possible how the engine will be used on a space mission. That is why there is a saying in the rocket business: “Test Like You Fly, Fly Like You Test”.
Because of the cost and risk associated with developing and testing an engine, a reliable test setup is vital. Maintaining system consistency and accuracy in a harsh environment is putting stringent requirements on the data acquisition equipment. DAQ systems must be able to record, display and process up to 2000 different parameters, varying from pressures, flow rates, vibrations and temperatures. Real-time sample rates may vary form 10 Hz to several kHz. The Q.series’s accuracy, flexibility and reliability makes it the data acquisition system of choice for world’s leading engine manufacturers and engine testing facilities.

Please read the full article on our measurement solution for rocket engine testing on page 76 in the Aerospace Testing International Showcase 2018.
More articles
Test of Battery and Battery Management Systems
At a very early stage Gantner Instruments was involved with special products for testing of batteries in the E-Drive environment. An already existing and successful product range is now supplemented with a useful novelty.
Read more...Data Centre World Singapore 2025
Gantner Instruments will attend Data Centre World Singapore 2025, taking place at Marina Bay Sands on October 8–9, to explore the latest innovations driving the future of data centre operations.
Read more...Instrumentation, Analysis & Testing Exhibition 2026
We’re excited to return to Silverstone for the Instrumentation, Analysis & Testing Exhibition 2026.
Read more...Python Integration – A New Level of Automation and Analysis
Engineering teams rely on powerful, customizable tools to handle increasingly complex test scenarios. GI.bench now includes integrated Python scripting, empowering engineers to automate measurement workflows, perform advanced real-time analyses, and seamlessly integrate with external software. This feature leverages Python's rich ecosystem, ensuring flexibility and efficiency in test and measurement projects.
Read more...