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- 저자 : Anle (검색결과 9 건)
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Optimization Research of Effective Stimulation for Carbonate Reservoir and its Application
Anle He,Dawei Zhu,Chong Liang,Hewen Zhang,Jun Yan,Jianjun Xu 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.3
Based on the characteristics of carbonate reservoirs, staged-fracturing technology for horizontal wells was adopted to effectively drain the reservior. Fracture parameters including orientation, number, length, fracture conductivity and distribution were optimized, and accordingly a hydraulic fracturing design was developed. Applied in oilfield, this method was proved to be effective in oil production. Therefore, it can provide theoretical guidance for the design of the stage-fractured horizontal wells.
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Fuxiang Hao,Anle Mu 한국자기학회 2022 Journal of Magnetics Vol.27 No.3
In order to solve the leakage problem of the engineering mechanical hydraulic cylinder, a magnetorheological fluid (MRF) seal structure with a multistage source is designed. The magnetic f ield in the gap of the sealing structure is analyzed by ANSYS finite element analysis method, the influence about the number of magnetic sources and the length of pole teeth on the pressure capability of the MRF seal is studied, and the results are analyzed. The results show that the suitable number of magnetic sources is 10; The length of the pole teeth with the best magnetic concentrating effect is 0.7 mm. Then, the influence of the MRF injection volume, reciprocating speed, reciprocating distance and holding pressure time of the hydraulic cylinder on the MRF sealing pressure capability is studied. The experimental results show that the maximum pressure capacity can be achieved when the MRF injection volume is 12 ml. With the increase of reciprocating speed, the pressure capability of the MRF seal decreases obviously. With the increase of reciprocating distance and holding time, the sealing pressure capability has no obvious change. Through the finite element analysis and experimental study of the MRF seal, it is of great significance to develop a device with high sealing performance suitable for the hydraulic cylinders.
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Fuxiang Hao,Anle Mu 한국자기학회 2023 Journal of Magnetics Vol.28 No.2
A symmetric stepped magnetic fluid seal (SSMFS) structure with three magnetic sources is designed with the goal of improving the leakage problem under the large clearance rotary seal condition. The magnetic field distribution in the sealing clearance is analyzed using the finite element method when the radial and axial clearances are both 0.4 mm. The pressure capacity is calculated, and the effects of the height of permanent magnets, the length of the pole teeth, and the number of pole teeth are compared with those of diverging stepped magnetic fluid seal (DSMFS) and converging stepped magnetic fluid seal (CSMFS) with three magnetic sources. The numerical outcomes demonstrate that the SSMFS with three magnetic sources has a greater pressure capacity than the other two seal structures. The effects of magnetic fluid injection volumes, radial and axial clearances, various rotational speeds, and holding times are then investigated in tests to determine the pressure capacity of the SSMFS with three magnetic sources. The results are compared to those of the other two structures. The experimental date indicate that the SSMFS with three magnetic sources has a magnetic fluid injection saturation of around 7 ml. The advantages of the SSMFS structure become more clear with the modification of the radial clearance and axial clearance. With an increase in rotation speed and holding time, the pressure capacity of SSMFS with three magnetic sources has no obvious change, but it is obviously higher than that of the other two structures.
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An Adaptive Complementary Sliding-mode Control Strategy of Single-phase Voltage Source Inverters
Bo Hou,Junwei Liu,Fengbin Dong,Anle Mu 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.1
In order to achieve the high quality output voltage of single-phase voltage source inverters, in this paper an Adaptive Complementary Sliding Mode Control (ACSMC) is proposed. Firstly, the dynamics model of the single-phase inverter with lumped uncertainty including parameter variations and external disturbances is derived. Then, the conventional Sliding Mode Control (SMC) and Complementary Sliding Mode Control (CSMC) are introduced separately. However, when system parameters vary or external disturbance occurs, the controlling performance such as tracking error, response speed et al. always could not satisfy the requirements based on the SMC and CSMC methods. Consequently, an ACSMC is developed. The ACSMC is composed of a CSMC term, a compensating control term and a filter parameters estimator. The compensating control term is applied to compensate for the system uncertainties, the filter parameters estimator is used for on-line LC parameter estimation by the proposed adaptive law. The adaptive law is derived using the Lyapunov theorem to guarantee the closed-loop stability. In order to decrease the control system cost, an inductor current estimator is developed. Finally, the effectiveness of the proposed controller is validated through Matlab/Simulink and experiments on a prototype single-phase inverter test bed with a TMS320LF28335 DSP. The simulation and experimental results show that compared to the conventional SMC and CSMC, the proposed ACSMC control strategy achieves more excellent performance such as fast transient response, small steady-state error, and low total harmonic distortion no matter under load step change, nonlinear load with inductor parameter variation or external disturbance.
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An Adaptive Complementary Sliding-mode Control Strategy of Single-phase Voltage Source Inverters
Hou, Bo,Liu, Junwei,Dong, Fengbin,Mu, Anle The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.1
In order to achieve the high quality output voltage of single-phase voltage source inverters, in this paper an Adaptive Complementary Sliding Mode Control (ACSMC) is proposed. Firstly, the dynamics model of the single-phase inverter with lumped uncertainty including parameter variations and external disturbances is derived. Then, the conventional Sliding Mode Control (SMC) and Complementary Sliding Mode Control (CSMC) are introduced separately. However, when system parameters vary or external disturbance occurs, the controlling performance such as tracking error, response speed et al. always could not satisfy the requirements based on the SMC and CSMC methods. Consequently, an ACSMC is developed. The ACSMC is composed of a CSMC term, a compensating control term and a filter parameters estimator. The compensating control term is applied to compensate for the system uncertainties, the filter parameters estimator is used for on-line LC parameter estimation by the proposed adaptive law. The adaptive law is derived using the Lyapunov theorem to guarantee the closed-loop stability. In order to decrease the control system cost, an inductor current estimator is developed. Finally, the effectiveness of the proposed controller is validated through Matlab/Simulink and experiments on a prototype single-phase inverter test bed with a TMS320LF28335 DSP. The simulation and experimental results show that compared to the conventional SMC and CSMC, the proposed ACSMC control strategy achieves more excellent performance such as fast transient response, small steady-state error, and low total harmonic distortion no matter under load step change, nonlinear load with inductor parameter variation or external disturbance.
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Şanlı Beyazıt Abdurrahman,Öztürk Gökçe Zahide Neslihan 한국식물생명공학회 2021 Plant biotechnology reports Vol.15 No.3
Potato (Solanum tuberosum L.) is one of the major tuber crops which is widely grown in the world. Potato growth and development as well as yield is negatively afected by heat and drought stress alone, but combined stress has devastating efect. MicroRNAs are group of small RNAs which play vital role in gene regulation at transcriptional and post-transcriptional level by repressing or inhibiting protein expression of corresponding target. Current study aimed to understand the function of miR160a-5p and its infuence on its target gene ARF16 under applied stresses. Potato cultivars tolerant (Unica) and sensitive (Russet Burbank) were tested under drought, heat, and their combination of stresses. The expression of miR160a- 5p was revealed to be higher along with the suppression of corresponding target gene ARF16 gene. Transgenic plants also showed improved physiological, and biochemical traits, with lower accumulation of H2O2 and higher levels of proline solely under drought stress conditions. It was also observed that overexpression of miR160a-5p could alter mechanisms for auxin response factor pathways which enabled transgenic plants to have higher tolerance to abiotic stress conditions. Based on our fndings, transgenic Unica and Russet Burbank plants showed increased tolerance to drought and heat stress as compared to wild-type plants. This study can be helpful in understanding the role of miR160a-5p in improved tolerance to abiotic stresses.
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Zheng Yingyan,Xiao Anling,Yu Xiangrong,Zhao Yajing,Lu Yiping,Li Xuanxuan,Mei Nan,She Dejun,Wang Dongdong,Geng Daoying,Yin Bo 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.8
Objective: The purpose of our study was to investigate the predictive abilities of clinical and computed tomography (CT) features for outcome prediction in patients with coronavirus disease (COVID-19). Materials and Methods: The clinical and CT data of 238 patients with laboratory-confirmed COVID-19 in our two hospitals were retrospectively analyzed. One hundred sixty-six patients (103 males; age 43.8 ± 12.3 years) were allocated in the training cohort and 72 patients (38 males; age 45.1 ± 15.8 years) from another independent hospital were assigned in the validation cohort. The primary composite endpoint was admission to an intensive care unit, use of mechanical ventilation, or death. Univariate and multivariate Cox proportional hazard analyses were performed to identify independent predictors. A nomogram was constructed based on the combination of clinical and CT features, and its prognostic performance was externally tested in the validation group. The predictive value of the combined model was compared with models built on the clinical and radiological attributes alone. Results: Overall, 35 infected patients (21.1%) in the training cohort and 10 patients (13.9%) in the validation cohort experienced adverse outcomes. Underlying comorbidity (hazard ratio [HR], 3.35; 95% confidence interval [CI], 1.67–6.71; p < 0.001), lymphocyte count (HR, 0.12; 95% CI, 0.04–0.38; p < 0.001) and crazy-paving sign (HR, 2.15; 95% CI, 1.03–4.48; p = 0.042) were the independent factors. The nomogram displayed a concordance index (C-index) of 0.82 (95% CI, 0.76–0.88), and its prognostic value was confirmed in the validation cohort with a C-index of 0.89 (95% CI, 0.82–0.96). The combined model provided the best performance over the clinical or radiological model (p < 0.050). Conclusion: Underlying comorbidity, lymphocyte count and crazy-paving sign were independent predictors of adverse outcomes. The prognostic nomogram based on the combination of clinical and CT features could be a useful tool for predicting adverse outcomes of patients with COVID-19.
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