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学者姓名：高建民
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Abstract ：
In this study, Response Surface Methodology (RSM) and multi-objective genetic algorithm were used to obtain optimum parameters of the channels with frustum of a cone with better flow and heat transfer performance. Central composite face-centered design (CCF) was applied to the experimental design of the channel parameters, and on this basis, the response surface models were constructed. The sensitivity of the channel parameters was analyzed by Sobol's method. The multi-objective optimization of the channel parameters was carried out with the goal of achieving maximum Nusselt number ratio (Nu/Nu(0)) and minimum friction coefficient ratio (f/f(0)). The results show that the root mean square errors (RSME) of the fitted response surface models are less than 0.25 and the determination coefficients (R-2) are greater than 0.93; the models have high accuracy. Sobol's method can quantitatively analyze the influence of the channel parameters on flow and heat transfer performance of the channels. When the response is Nu/Nu(0), from high to low, the total sensitivity indexes of the channel parameters are frustum of a cone angle (alpha), Reynolds number (Re), spanwise spacing ratio (Z(2)/D), and streamwise spacing ratio (Z(1)/D). When the response is f/f(0), the total sensitivity indexes of the channel parameters from high to low are Re, Z(1)/D, alpha and Z(2)/D. Four optimization channels are selected from the Pareto solution set obtained by multi-objective optimization. Compared with the reference channel, the Nu/Nu(0) of the optimized channels is increased by 21.36% on average, and the f/f(0) is reduced by 9.16% on average.
Keyword ：
channels with frustum of a cone multi-objective optimization Response Surface Methodology sensitivity analysis Sobol's method
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| GB/T 7714 | Zhao, Zhen , Xu, Liang , Gao, Jianmin et al. Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology [J]. | ENERGIES , 2022 , 15 (3) . |
| MLA | Zhao, Zhen et al. "Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology" . | ENERGIES 15 . 3 (2022) . |
| APA | Zhao, Zhen , Xu, Liang , Gao, Jianmin , Xi, Lei , Ruan, Qicheng , Li, Yunlong . Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology . | ENERGIES , 2022 , 15 (3) . |
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Abstract ：
Hazardous gas emissions may have serious consequences for surrounding residents and the environment. Bioinspired mobile robots equipped with gas sensors have the potential to become a solution for precisely tracking and locating emission sources. In this study, the performance, efficiency, and accuracy of various bionic algorithms with bioinspired mobile sensors, i.e., silkworm, E. coli, ZigZag, and step-up algorithms, were compared using field simulations to track emission sources in the atmosphere. In the tracing process, the determination criteria of maximum concentration, minimum concentration (i.e., 0), and concentration gradient were discussed quantitatively. The simulation results showed that the silkworm algorithm has the best performance in locating the emission source, while the E. coli algorithm has the highest tracking efficiency. Therefore, a single source-determination criterion may be insufficient, since tracking accuracy and efficiency can vary with different simulation algorithms. To address these concerns, a new tracking strategy driven by the inverse motion and interface gradient (RMIG) was proposed, based on the behaviors of female mosquitoes seeking hosts by tracking CO2 plumes, to improve tracking efficiency. It was found that the locating efficiency driven by RMIG is greatly improved and higher than that of the E. coli algorithm in the tested cases, with 40% to 100% explicitly enhanced. Finally, the optimal correlated matching of concentration distribution (OCMCD) method was used to locate the source with a mobile sensor. Compared with traditional and common source-determination criteria, the RMIG-OCMCD method can significantly improve location accuracy. The proposed RMIG-OCMCD method could be a practical choice for tracking emission sources in the atmosphere if an appropriate search strategy is designed.
Keyword ：
bioinspired source seeking algorithm gas emission optimal correlated matching of concentration distribution (OCMCD) reverse movement and interfacial gradient (RMIG) source identification tracing sensors
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| GB/T 7714 | Ma, Denglong , Xie, Guofang , Mao, Weigao et al. Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios [J]. | ATMOSPHERE , 2022 , 13 (5) . |
| MLA | Ma, Denglong et al. "Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios" . | ATMOSPHERE 13 . 5 (2022) . |
| APA | Ma, Denglong , Xie, Guofang , Mao, Weigao , Gao, Jianmin , Yi, Hang , Li, Dangchao . Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios . | ATMOSPHERE , 2022 , 13 (5) . |
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In this study, numerical simulations were carried out to investigate the flow and heat transfer characteristics of jet array impingement cooling in the quasi-leading-edge channel of gas turbine blades. The influence laws of Reynolds number (Re, 10,000 to 50,000), hole diameter-to-impingement spacing ratio (d/H, 0.5 to 0.9), hole spacing-to-impingement spacing ratio (S/H, 2 to 6), and Prandtl number (Pr, 0.690 to 0.968) on flow performance, heat transfer performance, and comprehensive thermal performance were examined, and the corresponding empirical correlations were fitted. The results show that increasing the d/H and reducing the S/H can effectively reduce the pressure loss coefficient in the quasi-leading-edge channel. Increasing the Re, reducing the d/H, and increasing the S/H can effectively enhance the heat transfer effect of the target wall. When d/H = 0.6 at lower Reynolds numbers and S/H = 5 at higher Reynolds numbers, the comprehensive thermodynamic coefficient reaches its maximum values. The average Nusselt numbers and comprehensive thermal coefficients of the quasi-leading-edge channel for steam cooling are both higher than those for air cooling. The pressure loss coefficient of the quasi-leading-edge channel is most sensitive to the change in d/H but is not sensitive to the change in Re. The average Nusselt number of the quasi-leading-edge channel is most sensitive to the change in Re and is least sensitive to the change in Pr. The comprehensive thermal coefficient of the quasi-leading-edge channel is most sensitive to the change in Re. The findings may provide a reference for the design of a steam-cooling structure in the leading edge channel of high-temperature turbine blades.
Keyword ：
blade leading edge flow and heat transfer impingement cooling sensitivity analysis steam jet array
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| GB/T 7714 | Xi, Lei , Gao, Jianmin , Xu, Liang et al. Numerical Investigation and Parameter Sensitivity Analysis on Flow and Heat Transfer Performance of Jet Array Impingement Cooling in a Quasi-Leading-Edge Channel [J]. | AEROSPACE , 2022 , 9 (2) . |
| MLA | Xi, Lei et al. "Numerical Investigation and Parameter Sensitivity Analysis on Flow and Heat Transfer Performance of Jet Array Impingement Cooling in a Quasi-Leading-Edge Channel" . | AEROSPACE 9 . 2 (2022) . |
| APA | Xi, Lei , Gao, Jianmin , Xu, Liang , Zhao, Zhen , Ruan, Qicheng , Li, Yunlong . Numerical Investigation and Parameter Sensitivity Analysis on Flow and Heat Transfer Performance of Jet Array Impingement Cooling in a Quasi-Leading-Edge Channel . | AEROSPACE , 2022 , 9 (2) . |
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Abstract ：
Aiming at the problem of low resources utilization of rotating blades in the selection process of aeroengine fan rotor blades, this paper takes the first-order bending dispersion, first-order torque dispersion, and gravitational moment difference of rotor blades as the selection criteria and takes the minimum remaining blades as the optimization goal. An intelligent selection algorithm of blades based on the collocation degree of blades is proposed and achieves the efficient selection and full utilization of rotating blades. Aiming at the problem of multiple installations and multiple adjustments and low assembly success rate of fan rotor blades, this paper takes the gravity moment difference of the two blades at the diagonal position of 180 degrees as the constraint and takes the minimum residual unbalance as the optimization objective, adopts the improved simulated annealing algorithm to optimize the assembly sequence of rotating blades, and greatly reduces the residual unbalance of blades, which is beneficial to reduce the number of assembly adjustments of blades. The optimizing selection and optimizing matching methods of rotating blades realize the full utilization and efficient assembly of blades and lays a foundation for the reliability and robustness of the assembly quality and service performance of blades.
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| GB/T 7714 | Li, Lili , Chen, Kun , Gao, Jianmin et al. Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades [J]. | SHOCK AND VIBRATION , 2021 , 2021 . |
| MLA | Li, Lili et al. "Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades" . | SHOCK AND VIBRATION 2021 (2021) . |
| APA | Li, Lili , Chen, Kun , Gao, Jianmin , Gao, Zhiyong , Liu, Junkong . Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades . | SHOCK AND VIBRATION , 2021 , 2021 . |
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With the rapid development of Internet information technology and the advancement of enterprise digitization, the digitization of paper forms has also received extensive attention. The automatic conversion of paper form documents into electronic form documents mainly faces three problems. The first is that the format of the form file is diverse and the structure is complex. This article uses the XML file of the form to accurately analyze the structure of the file, which is more accurate than the current semantic segmentation method. The second problem is table area detection, this paper uses traditional algorithms to find the contours of the candidate table area, and screens according to the characteristics of the table area to complete the detection and extraction of the table area. The third is that the recognition of the table text is more difficult, not only the interference information such as the table frame will also affect the accuracy of text recognition, and the type of text information in the table is complex, including Chinese, English, numbers, symbols and mixed types, which bring huge challenges to text recognition. This paper uses the lightweight U-Net network model to segment the text area at pixel level, eliminating the interference information of text recognition. The neural network of Tesseract was retrained in a multiple, multi-level manner, and successfully realized the recognition of complex types of text information with an accuracy of about 96%. Based on deep learning and XML table structure analysis algorithm, this paper realizes the recognition of paper version of the form file and the reconstruction of the electronic version of the file. © 2021 IEEE.
Keyword ：
Character recognition Complex networks Deep learning Semantics Semantic Segmentation XML
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| GB/T 7714 | Li, Gang , Huang, Junhui , Wang, Zhao et al. Form Recognition Based on Lightweight U-Net and Tesseract after Multi-level Retraining [C] . 2021 : 243-248 . |
| MLA | Li, Gang et al. "Form Recognition Based on Lightweight U-Net and Tesseract after Multi-level Retraining" . (2021) : 243-248 . |
| APA | Li, Gang , Huang, Junhui , Wang, Zhao , Gao, Jianmin , Chen, Kun . Form Recognition Based on Lightweight U-Net and Tesseract after Multi-level Retraining . (2021) : 243-248 . |
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Abstract ：
Recently, the inlet temperatures in gas turbine units have been drastically increased, which extremely affects the lifespan of gas turbine blades. Traditional cooling structures greatly improve the high temperature resistance of the blade; however, these structures scarcely concern both heat transfer and mechanical performances. Lattice structure (LS) can realize these requirements because of its characteristics of light weight, high strength, and porosity. Although the topology of LS is complex, it can be manufactured with the 3D metal printing technology. In this study, an integral optimization method of lattice cooling structure, used at the trailing edge of turbine blades, concerned with heat transfer and mechanical performance, was presented. Firstly, functions between the first-order natural frequency (freq1), elasticity modulus (E), relative density ((rho) over bar), and Nusselt number (Nu), and the geometric variables of pyramid type LS (PLS) and X-type LS (XLS) were established, and the reliability of these functions was verified. Then, a mathematical optimization model was developed based on these functions which contained two selected optimization problems. Finally, relations among objectives were analyzed; influence law of geometric variables to objectives were discussed, and the accuracy of the optimal LS was proved by experiment and numerical simulation. The optimization results suggest that, compared to the initial LS, Nu increases by 24.1% and p decreases by 31% in the optimal LS of the first selected problem, and the Nu increases by 28.8% while freq1 and (rho) over bar are almost unchanged in the optimal LS of the second selected problem compared to the initial LS. This study may provide a guidance for functions integration design of lattice cooling structures used at turbine blades based on 3D printing.
Keyword ：
functions integration design heat transfer and mechanical performances integral optimization method lattice cooling structure
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| GB/T 7714 | Xu, Liang , Shen, Qingyun , Ruan, Qicheng et al. Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade [J]. | APPLIED SCIENCES-BASEL , 2021 , 11 (13) . |
| MLA | Xu, Liang et al. "Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade" . | APPLIED SCIENCES-BASEL 11 . 13 (2021) . |
| APA | Xu, Liang , Shen, Qingyun , Ruan, Qicheng , Xi, Lei , Gao, Jianmin , Li, Yunlong . Optimization Design of Lattice Structures in Internal Cooling Channel of Turbine Blade . | APPLIED SCIENCES-BASEL , 2021 , 11 (13) . |
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Abstract ：
Traditional cooling structures in gas turbines greatly improve the high temperature resistance of turbine blades; however, few cooling structures concern both heat transfer and mechanical performances. A lattice structure (LS) can solve this issue because of its advantages of being lightweight and having high porosity and strength. Although the topology of LS is complex, it can be manufactured with metal 3D printing technology in the future. In this study, an integral optimization model concerning both heat transfer and mechanical performances was presented to design the LS cooling channel with a variable aspect ratio in gas turbine blades. Firstly, some internal cooling channels with the thin walls were built up and a simple raw of five LS cores was taken as an insert or a turbulator in these cooling channels. Secondly, relations between geometric variables (height (H), diameter (D) and inclination angle(omega)) and objectives/functions of this research, including the first-order natural frequency (freq1), equivalent elastic modulus (E), relative density ((rho) over bar) and Nusselt number (Nu), were established for a pyramid-type lattice structure (PLS) and Kagome-type lattice structure (KLS). Finally, the ISIGHT platform was introduced to construct the frame of the integral optimization model. Two selected optimization problems (Op-I and Op-II) were solved based on the third-order response model with an accuracy of more than 0.97, and optimization results were analyzed. The results showed that the change of Nu and freq1 had the highest overall sensitivity Op-I and Op-II, respectively, and the change of D and H had the highest single sensitivity for Nu and freq1, respectively. Compared to the initial LS, the LS of Op-I increased Nu and E by 24.1% and 29.8%, respectively, and decreased (rho) over bar by 71%; the LS of Op-II increased Nu and E by 30.8% and 45.2%, respectively, and slightly increased (rho) over bar; the LS of both Op-I and Op-II decreased freq1 by 27.9% and 19.3%, respectively. These results suggested that the heat transfer, load bearing and lightweight performances of the LS were greatly improved by the optimization model (except for the lightweight performance for the optimal LS of Op-II, which became slightly worse), while it failed to improve vibration performance of the optimal LS.
Keyword ：
heat transfer integral optimization model internal cooling channel lattice structure mechanical performances
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| GB/T 7714 | Xu, Liang , Ruan, Qicheng , Shen, Qingyun et al. Optimization Design of Lattice Structures in Internal Cooling Channel with Variable Aspect Ratio of Gas Turbine Blade [J]. | ENERGIES , 2021 , 14 (13) . |
| MLA | Xu, Liang et al. "Optimization Design of Lattice Structures in Internal Cooling Channel with Variable Aspect Ratio of Gas Turbine Blade" . | ENERGIES 14 . 13 (2021) . |
| APA | Xu, Liang , Ruan, Qicheng , Shen, Qingyun , Xi, Lei , Gao, Jianmin , Li, Yunlong . Optimization Design of Lattice Structures in Internal Cooling Channel with Variable Aspect Ratio of Gas Turbine Blade . | ENERGIES , 2021 , 14 (13) . |
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Swirling impinging jet (SIJ) is considered as an effective means to achieve uniform cooling at high heat transfer rates, and the complex flow structure and its mechanism of enhancing heat transfer have attracted much attention in recent years. The large eddy simulation (LES) technique is employed to analyze the flow fields of swirling and non-swirling impinging jet emanating from a hole with four spiral and straight grooves, respectively, at a relatively high Reynolds number (Re) of 16,000 and a small jet spacing of H/D = 2 on a concave surface with uniform heat flux. Firstly, this work analyzes two different sub-grid stress models, and LES with the wall-adapting local eddy-viscosity model (WALEM) is established for accurately predicting flow and heat transfer performance of SIJ on a flat surface. The complex flow field structures, spectral characteristics, time-averaged flow characteristics and heat transfer on the target surface for the swirling and non-swirling impinging jets are compared in detail using the established method. The results show that small-scale recirculation vortices near the wall change the nearby flow into an unstable microwave state, resulting in small-scale fluctuation of the local Nusselt number (Nu) of the wall. There is a stable recirculation vortex at the stagnation point of the target surface, and the axial and radial fluctuating speeds are consistent with the fluctuating wall temperature. With the increase in the radial radius away from the stagnation point, the main frequency of the fluctuation of wall temperature coincides with the main frequency of the fluctuation of radial fluctuating velocity at x/D = 0.5. Compared with 0 degrees straight hole, 45 degrees spiral hole has a larger fluctuating speed because of speed deflection, resulting in a larger turbulence intensity and a stronger air transport capacity. The heat transfer intensity of the 45 degrees spiral hole on the target surface is slightly improved within 5-10%.
Keyword ：
flow structures heat transfer large eddy simulation swirling impinging jet
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| GB/T 7714 | Xu, Liang , Zhao, Xu , Xi, Lei et al. Large-Eddy Simulation Study of Flow and Heat Transfer in Swirling and Non-Swirling Impinging Jets on a Semi-Cylinder Concave Target [J]. | APPLIED SCIENCES-BASEL , 2021 , 11 (15) . |
| MLA | Xu, Liang et al. "Large-Eddy Simulation Study of Flow and Heat Transfer in Swirling and Non-Swirling Impinging Jets on a Semi-Cylinder Concave Target" . | APPLIED SCIENCES-BASEL 11 . 15 (2021) . |
| APA | Xu, Liang , Zhao, Xu , Xi, Lei , Ma, Yonghao , Gao, Jianmin , Li, Yunlong . Large-Eddy Simulation Study of Flow and Heat Transfer in Swirling and Non-Swirling Impinging Jets on a Semi-Cylinder Concave Target . | APPLIED SCIENCES-BASEL , 2021 , 11 (15) . |
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Abstract ：
Estimating the sources of contaminant or hazard emissions is important for pollution control and safety management. Markov chain Monte Carlo (MCMC), combined with Bayesian inference, was used to identify the source terms of pollutants. However, the efficiency and accuracy of the forward dispersion model greatly impacted the performance of the estimation method. Therefore, a machine learning algorithm (MLA) model with high prediction accuracy and efficiency was proposed and coupled with MCMC method to estimate the source terms. A previously proposed MLA model was used to obtain the expected concentrations in Bayesian estimation. The Delayed Rejection Adaptive Metropolis (DRAM) method was applied to sample particles in order to form Markov chains. To evaluate the performance of the MCMC–MLA method, a Gaussian dispersion model was selected as the forward model. The performances of MCMC–MLA and MCMC–Gaussian models were then compared with release cases in Prairie Grass experiment and the results showed that the MCMC–MLA method converged more rapidly than the MCMC–Gaussian model. Nevertheless, release cases in the Round Hill experiment were also used to test the generalisability of the MCMC–MLA. The results indicated that the performance of MCMC–MLA was better than that of the MCMC–Gaussian model for estimating source terms in estimation accuracy. Hence, the MCMC–MLA method proposed here is potentially a useful tool for identifying emissions source parameters with high accuracy and efficiency, as well as reasonable probability estimates. Graphic abstract: [Figure not available: see fulltext.]. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Keyword ：
Atmospheric movements Bayesian networks Efficiency Gaussian distribution Inference engines Learning algorithms Machine learning Markov chains Monte Carlo methods Pollution control Turing machines
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| GB/T 7714 | Ma, Denglong , Gao, Jianmin , Zhang, Zaoxiao et al. Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods [J]. | Stochastic Environmental Research and Risk Assessment , 2021 , 35 (2) : 271-286 . |
| MLA | Ma, Denglong et al. "Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods" . | Stochastic Environmental Research and Risk Assessment 35 . 2 (2021) : 271-286 . |
| APA | Ma, Denglong , Gao, Jianmin , Zhang, Zaoxiao , Zhao, Hong . Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods . | Stochastic Environmental Research and Risk Assessment , 2021 , 35 (2) , 271-286 . |
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The failure of electronic equipment causes serious consequences and even catastrophic fires. Abnormal thermal signals are one of the main characteristics of the failure of electronic equipment. Thus, a new method for recognizing and predicting the thermally induced failure states of electronic equipment was proposed, based on an artificial olfactory system (AOS). The AOS recognizes the state of the volatile components released during the early stages of thermally induced failure and uses it to predict the state of health of the electronic equipment. Some typical electronic devices, such as microcomputer units, electronic rectifiers, transformers, and battery modules, were tested with the AOS to recognize the failures indicated by abnormal thermal accumulation. Compared with infrared thermal imagers and gas analyzers, the PEN3 electronic nose was utilized to monitor the status of the devices under different thermal failure scenarios. It was found that infrared thermal imaging was only able to monitor the local surface temperature, and the air temperature in the device chamber changed slowly with the surface temperature of the electronic modules. However, the AOS was able to detect the abnormal change in the whole chamber. Linear discriminant analysis (LDA) and principal component analysis (PCA) were then adopted to investigate the features of thermally induced failure for different thermal states. The results showed that the models obtained both from LDA and PCA were able to distinguish the different states of the electronic devices. Furthermore, a support vector machine model was built, based on the AOS data, to recognize and predict the thermally induced failure processes. All the failure states of the electronic devices caused by thermal simulations were recognized successfully and the prediction accuracy was above 95%. Hence, the experimental results of this research proved that using the AOS, it is feasible to predict the thermally induced failure states of electronic equipment, and the failure of electronic devices can be forecast in advance, before the obvious temperature rise and smoke release. Moreover, the method proposed in this research can also be applied to the prediction of, and warning about, electrical fires, indoor fires, and other thermally induced accidents.
Keyword ：
AOS electronic equipment electronic nose failure linear discriminant analysis principal component analysis
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| GB/T 7714 | Ma, Denglong , Liu, Yuan , Zheng, Liangtian et al. Prediction of thermally induced failure for electronic equipment based on an artificial olfactory system [J]. | MEASUREMENT SCIENCE AND TECHNOLOGY , 2021 , 32 (3) . |
| MLA | Ma, Denglong et al. "Prediction of thermally induced failure for electronic equipment based on an artificial olfactory system" . | MEASUREMENT SCIENCE AND TECHNOLOGY 32 . 3 (2021) . |
| APA | Ma, Denglong , Liu, Yuan , Zheng, Liangtian , Gao, Jianmin , Gao, Zhiyong , Zhang, Zaoxiao . Prediction of thermally induced failure for electronic equipment based on an artificial olfactory system . | MEASUREMENT SCIENCE AND TECHNOLOGY , 2021 , 32 (3) . |
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