The effects of compressor blade roughness on the steady state performance of micro-turbines

Talebi, S.S.; Tousi, Abolghasem M.

doi:10.1016/j.applthermaleng.2016.12.038

Cited by 20 publications

(15 citation statements)

References 28 publications

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“…This flow of air is closely related to the surface conditions of the blade, as it follows the surface of the blade, and Bammert, K. and Sandstede, H. have reported from experiments that an increase in the surface roughness of the turbine rotor blade leads to an increase in the air friction coefficient [ 23 ]. Previous studies have demonstrated performance changes in bulk-sized rotor blades with roughness damage acquired due to pollution caused by the environment in which they are used [ 24 , 25 ].…”

Section: Methodsmentioning

confidence: 99%

The Improvement of Performance through Minimizing Scallop Size in MEMS Based Micro Wind Turbine

et al. 2021

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In this paper we report on the improvement of performance by minimizing scallop size through deep reactive-ion etching (DRIE) of rotors in micro-wind turbines based on micro-electro-mechanical systems (MEMS) technology. The surface profile of an MEMS rotor can be controlled by modifying the scallop size of the DRIE surface through changing the process recipe. The fabrication of a planar disk-type MEMS rotor through the MEMS fabrication process was carried out, and for the comparison of the improvements in the performance of each rotor, RPM testing and open circuit output voltage experiments of stators and permanent magnets were performed. We found that the smooth etching profile with a minimized scallop size formed using DRIE results in improved rotation properties in MEMS-based wind turbine rotors.

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Section: Methodsmentioning

confidence: 99%

The Improvement of Performance through Minimizing Scallop Size in MEMS Based Micro Wind Turbine

et al. 2021

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“…It is suggested that a more cost-efficient way of operating gas turbines could be achieved by enhanced engine 74 condition monitoring and appropriate repairs [3,4]. Talebi and Tousi (2017) [5] demonstrated that gas path analysis 75 (GPA), introduced by Urban (1969) [6], remains one of the soundest technologies for engine health monitoring and is 76 widely used for gas turbine condition monitoring to detect, identify, and assess component degradation. This, in turn, 77 affects the maintenance of gas turbine assets [7].…”

Section: Take Down Policymentioning

confidence: 99%

A sequential model-based approach for gas turbine performance diagnostics

Chen

Zhao

Xiang

et al. 2021

Energy

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“…8–11 Preparing a proper diagnostic system depends on a good insight into the engine performance changes due to various factors of deterioration. 12,13…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, some specific study on the MGT components damage is necessary to understand degradation effects in the engine behavior. 12,13,18,20…”

Section: Introductionmentioning

confidence: 99%

A methodology for identifying the most suitable measurements for engine level and component level gas path diagnostics of a micro gas turbine

Talebi

Tousi

Madadi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Recently, the utilization of micro gas turbines in smart grids are rising that makes the part-load operation principal situation of the engine service. This leads to faster life consumption that increases the importance of the diagnostics process. Gas path analysis is an effective method for gas turbine diagnostics. Complex dynamics of gas turbine induces challenging conditions to perform applicable gas path analysis. This study aims to facilitate MGT gas path diagnostics through reducing the number of monitoring parameters and preparation a pattern for engine level and component level health assessment in both full and part load operation of a recuperated micro gas turbine. To attain this goal a model is proposed to simulate MGT off-design performance which is validated against experimental data in healthy and degraded operation modes. Fouling in compressor, turbine and recuperator and erosion in compressor and turbine as the most common degradations in the gas turbine are considered. The fault simulation is performed by changing the health parameters of gas path components. According to the result investigation, a matrix comprises deviation contours of four parameters, Power, fuel flow, compressor discharge pressure, and exhaust gas temperature is presented and analyzed. The analysis shows that monitoring these parameters makes it possible to perform engine level and component level diagnostics through evaluating a binary code (generated by mentioned parameter variations) against the fault effects pattern in different load fractions and fault severities. The simulation also showed that the most power drop occurred under the compressor fouling by about 8.7% while the most reduction in thermal efficiency is observed under recuperator fouling by about 7.84%. Furthermore, the investigation showed the maximum decrease in the surge margin induced by the compressor fouling during the lower part-load operation by about 45.7% while in the higher loads created by the turbine fouling by about 14%.

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The effects of compressor blade roughness on the steady state performance of micro-turbines

Cited by 20 publications

References 28 publications

The Improvement of Performance through Minimizing Scallop Size in MEMS Based Micro Wind Turbine

The Improvement of Performance through Minimizing Scallop Size in MEMS Based Micro Wind Turbine

A sequential model-based approach for gas turbine performance diagnostics

A methodology for identifying the most suitable measurements for engine level and component level gas path diagnostics of a micro gas turbine

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