Numerical investigation on aerodynamic characteristics of exhaust passage with consideration of multi-factor components in a supercritical steam turbine

Xiao-qiang, Jiang; Lin, Aqiang; Malik, Afia; Chang, Xinye; Xu, Yuanyuan

doi:10.1016/j.applthermaleng.2019.114085

Cited by 13 publications

(7 citation statements)

References 19 publications

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“…Metode MFEP adalah metode pengambilan keputusan yang tepat ketika seorang individu, kelompok, dalam pengambilan keputusan (Fazri, 2021;Supiyandi et al, 2020;Vadreas et al, 2018). MFEP juga dapat membuat keputusan dengan memberikan weighting system dari setiap factor (Lu et al, 2018;Zhou et al, 2022) dengan bobot berkisar dari 0 sampai 1 (Jiang et al, 2019;Ullah et al, 2020). Budihartanti et al (2021) menerapkan metode MFEP untuk merekomentasi maskapai penerbangan.…”

Section: Pendahuluanunclassified

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

Nadila¹,

Dalimuthe²,

Afandi³

2022

Edumatic

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Establishing a business or industrial place must obtain a permit from the government which aims to protect the surrounding community to be protected from the possibility of disturbance or pollution caused by the industry. Therefore, in order to achieve this, it is necessary to have a system that automatically provides accurate and quick decisions in determining which company or industry is worthy of being granted a business license. The purpose of this study is to build a decision support system in determining business premises or industry hinder ordonantie permits using the Multi-Factor Evaluation Process (MFEP) method. This research stage consists of analysis, design, testing, and implementation adopted from the waterfall model. Data collection was carried out by interviews and observations. The data analysis technique used is the MFEP method to determine the final decision in granting nuisance permits to companies or industries. Samples or training data totaling 30 industry names in the Asahan Regency area. This system is tested with a black box which aims to find out if all components in the system are running well. Our findings show that the system we have created is appropriate based on the results of the analysis using the MFEP method. In addition, the results of black box testing show that all components in this system are valid and functioning properly.

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Section: Pendahuluanunclassified

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

Nadila¹,

Dalimuthe²,

Afandi³

2022

Edumatic

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“…The pre-deformation design method has been proposed to reduce the deviation between the hot blade shape and ideal blade shape (Chen and Lin, 2000;Kamoun et al, 2006;Hou et al, 2016;Albanesi et al, 2017;Chen et al, 2017;Albanesi et al, 2018;Kollar and Mishra, 2019;Saeed et al, 2019). The blade shape determined by manufacturing is the cold blade shape.…”

Section: Introductionmentioning

confidence: 99%

“…With the development of the finite element method and computational fluid dynamics technology (Bhagi et al, 2018;Prabhunandan and Byregowda, 2018;Shukla and Harsha, 2015;Brahimi and Ouibrahim, 2016;Hashemian et al, 2020;Jang et al, 2015;Francesco et al, 2017), iterative solutions of the pre-deformation design method based on numerical calculations have gradually been used in blade analysis and optimal design (Noori Rahim Abadi et al, 2017;Obert and Cinnella, 2017;Pascoa et al, 2009;Hou et al, 2019;Li et al, 2019;Jiang et al, 2019;Yi et al, 2020a, b). With these methods, the construction of a hot shape and the correction of a cold shape are alternately and repeatedly executed in the pre-deformation design process.…”

Section: Introductionmentioning

confidence: 99%

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Zhou

Wang

et al. 2021

Mech. Sci.

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Abstract. The deformation of blades under complex loads of multiple working conditions will reduce the energy conversion efficiency. To reduce the deviation of the blade shape in practical working conditions, a combination and optimization method of blade design schemes under multiple working conditions, based on the entropy weight vague sets, is proposed. The sensitivity of each working condition index is analyzed based on the information entropy, and the satisfaction degree of the design scheme based on the design requirements and experiences is described with the vague set. The matching degree of different design schemes for multiple working conditions is quantified according to the scoring function. The combination and optimization of the design scheme are verified by numerical simulation analysis. The results show that the proposed design scheme has a smaller blade shape deviation than the traditional design scheme under multiple working conditions.

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“…The development of steam turbines also keeps pace with the times. One of the main aspects of research regarding wet steam turbines is the mechanism, quantitative evaluation and control measures of the wetness losses (Jiang et al, 2019). Wet steam flow is a two-phase complex flow accompanied by phase transformation and heat and mass transfer.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the wet steam condensation flow characteristics in stator cascade with blade surface heating

Han

Yuan

Zhao

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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The scientific and effective control of steam wetness in steam turbines is of great significance for improving power generation efficiency. Based on the research status of wet steam, the influence of different surface heating intensity in a stator cascade was studied. The distribution of condensation flow parameters in White cascade under 0-700 kW/m 2 surface heating intensity is calculated. On this basis, the positive heating intensity region was determined and refined to obtain the best heating condition with higher accuracy. The results show that the condensation is restrained and the outlet wetness is decreased as the blade surface heating intensity increases. The steam wetness and droplet diameter in the flow field can be controlled by adding heating intensity. Additionally, at the initial stage of applying heat to the blade, an increasing enthalpy drop occurs, and the entropy increase experiences a decline, while negative effects rapidly emerge if the heating intensity is too high. The optimum heating intensity is 120 kW/m 2. Compared with the 0 kW/m 2 , the average outlet wetness, total pressure loss coefficient and entropy increase of 120 kW/m 2 surface heating intensity can be reduced by 1.1266%, 15.5% and 1.7%, respectively, and the enthalpy drop can be increased by 1.7%.

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Numerical investigation on aerodynamic characteristics of exhaust passage with consideration of multi-factor components in a supercritical steam turbine

Cited by 13 publications

References 19 publications

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Numerical investigation of the wet steam condensation flow characteristics in stator cascade with blade surface heating

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