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An Introduction to
Dynamic Spin Testing
An Introduction to Dynamic Spin Testing 3D Cover

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An Introduction to Dynamic Spin Testing 3D Cover

An Introduction to Dynamic Spin Testing

Dynamic Spin Rigs (DSR) include patented technology that Test Devices has been pioneering since 2004. A DSR is a spin test system that can excite blades under centrifugal loading.

An Introduction to Dynamic Spin Testing breaks down everything you need to know about Dynamic Spin Rig (DSR) as well as key ingredients for successful dynamic spin testing, including:

  • Precision Speed Control
  • The Ability to "Sit" On-Resonance
  • Proven Blade Excitation Technologies
  • Liquid Jet System
  • Aeropulse System
  • Data Measurements and Instrumentation

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In high-performance gas turbines, the design of a blade is a crucial element. It must be lightweight, meet the aerothermal performance and manufacturing feasibility criteria, and be robust enough to survive an arduous operating environment with a safety margin. A combination of the intricate blade geometry, punishing operating environment, the use of cutting-edge materials, and complex manufacturing processes (including emerging nonmetallics, additive manufacturing/3D printing) results in complexity and design challenges for engineers and designers.

Many failure modes for gas turbines are related to the dynamic behavior of compressor and turbine blades. High stress from blade resonance and vibration in the operating part of the machinery rapidly consumes the fatigue life and often leads to catastrophic damages. Studies of turbine blade damage mechanisms, failure modes, and damper design have been an active field of research for over five decades. 

As a part of the design process, an extensive structural dynamic analysis is carried out to predict the natural frequencies, mode shapes, and damping properties. Due to the complexity of several intertwined factors in the blade design and its attachment constructions, development of a sound engineering modeling involves in-depth understanding of non-linear factors and judgments.

Test data for validating and tuning the model is a critical step in assuring a successful and robust design.

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