Effects of Manufacturing Tolerances on Double-Wall Effusion CoolingSource: Journal of Turbomachinery:;2023:;volume( 146 ):;issue: 001::page 11009-1DOI: 10.1115/1.4063731Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: As aeroengine designers seek to raise turbine entry temperatures for greater thermal efficiencies, novel cooling schemes are required to ensure that components can survive in increasingly hotter environments. By utilizing a combination of impingement cooling, pin-fin cooling, and effusion cooling, double-wall effusion cooling is well equipped to achieve the high metal cooling effectiveness required for such challenges while keeping coolant consumption at an acceptably low level. However, this high performance can drop off within the variability of common manufacturing tolerances, which can also expose cooling schemes to issues such as hot gas ingestion. This paper uses an experimentally validated low-order flow network model (LOM) to assess the cooling performance of a double-wall effusion cooling scheme employed in a high-pressure turbine nozzle guide vane, subject to the variability of geometric parameters set by their manufacturing tolerances. The relative significance of each geometric parameter is examined by varying it individually and comparing the effects on the cooling performance. A Monte Carlo analysis is then conducted to assess the likelihood of performance variation for a baseline design. Finally, multiple optimization studies are conducted for the cooling scheme, with the simultaneous objectives of reducing coolant usage and maximizing the design tolerances to reduce manufacturing cost, all while maintaining acceptable metal cooling effectiveness and backflow margins.
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contributor author | van de Noort, Michael | |
contributor author | Ireland, Peter T. | |
contributor author | Telisinghe, Janendra C. | |
date accessioned | 2024-04-24T22:49:01Z | |
date available | 2024-04-24T22:49:01Z | |
date copyright | 10/31/2023 12:00:00 AM | |
date issued | 2023 | |
identifier issn | 0889-504X | |
identifier other | turbo_146_1_011009.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4295931 | |
description abstract | As aeroengine designers seek to raise turbine entry temperatures for greater thermal efficiencies, novel cooling schemes are required to ensure that components can survive in increasingly hotter environments. By utilizing a combination of impingement cooling, pin-fin cooling, and effusion cooling, double-wall effusion cooling is well equipped to achieve the high metal cooling effectiveness required for such challenges while keeping coolant consumption at an acceptably low level. However, this high performance can drop off within the variability of common manufacturing tolerances, which can also expose cooling schemes to issues such as hot gas ingestion. This paper uses an experimentally validated low-order flow network model (LOM) to assess the cooling performance of a double-wall effusion cooling scheme employed in a high-pressure turbine nozzle guide vane, subject to the variability of geometric parameters set by their manufacturing tolerances. The relative significance of each geometric parameter is examined by varying it individually and comparing the effects on the cooling performance. A Monte Carlo analysis is then conducted to assess the likelihood of performance variation for a baseline design. Finally, multiple optimization studies are conducted for the cooling scheme, with the simultaneous objectives of reducing coolant usage and maximizing the design tolerances to reduce manufacturing cost, all while maintaining acceptable metal cooling effectiveness and backflow margins. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Effects of Manufacturing Tolerances on Double-Wall Effusion Cooling | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 1 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4063731 | |
journal fristpage | 11009-1 | |
journal lastpage | 11009-10 | |
page | 10 | |
tree | Journal of Turbomachinery:;2023:;volume( 146 ):;issue: 001 | |
contenttype | Fulltext |