2021
DOI: 10.3390/en14154708
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On-Line Control of Stresses in the Power Unit Pressure Elements Taking Account of Variable Heat Transfer Conditions

Abstract: Coal-fired power units, now balancing power shortages in the power system, must be characterised by increasingly higher flexibility of operation. This means faster start-ups and the capacity for frequent decreases and increases in the power output. These processes cause large temperature gradients in elements of the power unit and the turbine and lead to an increase in the stress level. At such an operating regime it is impossible to ensure safety based on start-up characteristics only—it becomes necessary to … Show more

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Cited by 5 publications
(4 citation statements)
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“…For each of them, dedicated influence functions are determined and a constant or in-time-varying correction coefficient k is applied, in place of the α mod coefficient. Then, greater compliance with the results calculated from FEM is obtained [23].…”
Section: Online Stress Monitoring Algorithmmentioning
confidence: 96%
See 1 more Smart Citation
“…For each of them, dedicated influence functions are determined and a constant or in-time-varying correction coefficient k is applied, in place of the α mod coefficient. Then, greater compliance with the results calculated from FEM is obtained [23].…”
Section: Online Stress Monitoring Algorithmmentioning
confidence: 96%
“…It can be used in the case of area I of the turbine rotor for the circumferential component leading to crack propagation in central bore. For area II, where there is a risk of high level of effective stress, the Huber−Mises hypothesis is used [23]:…”
Section: Online Stress Monitoring Algorithmmentioning
confidence: 99%
“…The results showed that most of the environmental impact was attributed to electricity production, and the construction stage was the most impactful. Rusin et al [79] discuss an online control system for managing stress in the pressure elements of a power unit, considering the variable heat transfer conditions. Cheng et al [80] present a physics-informed domain adaptation network, called Adaptive Fault Attention Residual Network (AFARN), for diagnosing faults in nuclear circulating water pump bearings.…”
mentioning
confidence: 99%
“…In this sense, the current Special Issue is an attempt to create a forum where the listed problems can be discussed. The exchange of thoughts should also take into account technological experiences in the field of materials engineering and the mechanics of materials including the production of elements with desired properties and the possibility of predicting their functional properties [7][8][9]. The latter should be based on the thermodynamic analysis of heat flow along with a mechanical description of stress and strain fields.…”
mentioning
confidence: 99%