From Dust to Design: A Predictive Approach to Gas Turbine Durability
Shiva
Produktnummer:
1878f3fb4331214f68a3a2387534c3684a
Autor: | Shiva |
---|---|
Themengebiete: | Computational Data-Driven Engines Erosion-Corrosion Gas Turbine Mechanics Predictive Maintenance Thermal-Mechanical Turbine Blade Turbine Blade Failure |
Veröffentlichungsdatum: | 02.07.2024 |
EAN: | 9783384276674 |
Sprache: | Englisch |
Seitenzahl: | 168 |
Produktart: | Kartoniert / Broschiert |
Verlag: | tredition |
Produktinformationen "From Dust to Design: A Predictive Approach to Gas Turbine Durability"
Gas turbines are marvels of engineering, capable of converting natural gas or other fuels into mechanical energy with remarkable efficiency. They play a pivotal role in various applications, including power generation, aviation propulsion, and industrial processes. However, the relentless nature of their operation exposes them to extreme temperatures, pressures, and mechanical stresses. Over time, these factors can lead to material degradation, component failures, and ultimately, reduced turbine life. The Challenge of Durability: Traditionally, gas turbine maintenance has been reactive, relying on scheduled inspections and component replacements based on operating hours or manufacturer recommendations. While this approach ensures a baseline level of reliability, it has limitations. Reactive maintenance can lead to: Unplanned downtime: Unexpected failures can cause significant disruptions and economic losses. Over-maintenance: Replacing components before they reach their true end-of-life can be wasteful.

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