The Experts below are selected from a list of 17016 Experts worldwide ranked by ideXlab platform
Yueping Ren - One of the best experts on this subject based on the ideXlab platform.
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impacts of sludge retention time on sludge characteristics and membrane Fouling in a submerged osmotic membrane bioreactor
Bioresource Technology, 2014Co-Authors: Xinhua Wang, Yao Chen, Bo Yuan, Yueping RenAbstract:Anaerobic–oxic membrane bioreactor (AOMBR) has been proposed as a highly effective method in municipal and industrial wastewater treatment. In this study, according to the sewage treatment system in a campus, long-term experiments were conducted to assess the impacts of the sludge retention time (SRT) on sludge characteristics and membrane Fouling, and the sludge parameters include biomass concentration, particle size distribution, extracellular polymeric substances (EPS), soluble microbial products (SMPs), and specific resistance to filtration (SRF). Our results clearly demonstrated that SRT was one of the most important factors influencing sludge characteristics, and different sludge characteristics resulted in different membrane Fouling degrees. A better treatment and filtration performances were observed at the SRT of 30 days compared to two SRTs of 10 and 90 days. Among these parameters, SMP had the most significant correlation with the membrane Fouling rate (dTMP/dt), and it had a negative impact on membrane filtration performance. The impact of SRT on membrane Fouling Process was discussed further by filtration models. At 10 days SRT, the complete-standard blocking model curve had a comparatively higher goodness-of-fit with the Fouling Process, and at 30 and 90 days SRT, the cake-standard blocking model curve had a relatively higher goodness-of-fit with respective Fouling Process.
Xiufu Hua - One of the best experts on this subject based on the ideXlab platform.
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Impacts of sludge retention time on sludge characteristics and membrane Fouling in a submerged anaerobic-oxic membrane bioreactor.
Applied microbiology and biotechnology, 2015Co-Authors: Xiaomei Zhang, Xiuping Yue, Zhiqiang Liu, Xiufu HuaAbstract:Anaerobic–oxic membrane bioreactor (AOMBR) has been proposed as a highly effective method in municipal and industrial wastewater treatment. In this study, according to the sewage treatment system in a campus, long-term experiments were conducted to assess the impacts of the sludge retention time (SRT) on sludge characteristics and membrane Fouling, and the sludge parameters include biomass concentration, particle size distribution, extracellular polymeric substances (EPS), soluble microbial products (SMPs), and specific resistance to filtration (SRF). Our results clearly demonstrated that SRT was one of the most important factors influencing sludge characteristics, and different sludge characteristics resulted in different membrane Fouling degrees. A better treatment and filtration performances were observed at the SRT of 30 days compared to two SRTs of 10 and 90 days. Among these parameters, SMP had the most significant correlation with the membrane Fouling rate (dTMP/dt), and it had a negative impact on membrane filtration performance. The impact of SRT on membrane Fouling Process was discussed further by filtration models. At 10 days SRT, the complete-standard blocking model curve had a comparatively higher goodness-of-fit with the Fouling Process, and at 30 and 90 days SRT, the cake-standard blocking model curve had a relatively higher goodness-of-fit with respective Fouling Process.
Thomas Becker - One of the best experts on this subject based on the ideXlab platform.
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Numero‐Fuzzy Hybrid for Modelling and Simulation of the Fouling of Milk Heat Exchangers
PAMM, 2003Co-Authors: Hannes Petermeier, R. Benning, Thomas Becker, Antonio DelgadoAbstract:To overcome the lack of a selfcontained description of the Fouling Process in dairy industry, a fuzzy system is integrated in a Process model using wellknown numerics thus resulting in a numero-fuzzy hybrid model. Results concerning the simulation of a dairy plant and a new approach for the study of the applied fuzzy systems are presented.
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Hybrid model of the Fouling Process in tubular heat exchangers for the dairy industry
Journal of Food Engineering, 2002Co-Authors: Hannes Petermeier, R. Benning, Antonio Delgado, Ulrich Kulozik, Jörg Hinrichs, Thomas BeckerAbstract:A simulation model of the Fouling behaviour of an arbitrary heat treatment device for milk, instancing tubular heat exchangers, is described. The final target is to examine new Processing technologies in order to lengthen the Processing time between two cleaning cycles whilst maintaining product quality. For this purpose a hybrid model of the Fouling Process in tubular heat exchangers was developed, combining deterministic differential equations with cognitive elements. The model allows the calculation of both Processing and product behaviour throughout the whole heat exchanger. Pressure drop, temperature distribution and the chemical and biological effects of the heat treatment on the product can be calculated, so that the Fouling behaviour and the expected product quality can be estimated. In order to validate the Process model measured data from an industrial UHT plant were used. The calculated temperature profiles and pressure drops were in reasonable agreement with the experimental data. The deviation of calculated to measured values ranges between 10% and 20% for pressure, between 5% and 10% for temperature.
Yongchang Chen - One of the best experts on this subject based on the ideXlab platform.
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Experimental study of Fouling Process and antiFouling effect in convective heat transfer under ultrasonic treatment
Applied Thermal Engineering, 2018Co-Authors: Tengfei Hou, Yongchang Chen, Zepeng WangAbstract:Abstract An experimental study was carried out by a dynamic Fouling monitor system to investigate the Fouling Process in convective heat transfer by ultrasonic treatment. During the experiment, the cooling water in heat exchanger was used as working fluid with the inlet temperature of 22.5 °C and 44 °C and the initial hardness of 300 mg/L and 500 mg/L, respectively. For all cases the inlet temperature of hot water was kept at 70 °C, and the flowrates of cooling water and hot water were set at 0.77 m3/h and 0.81 m3/h, respectively. In this experimental setup, a double-tube heat exchanger was served as a test section of heat transfer, in which hot water flows inside the inner copper tube and cooling water flows in the annular gap between the two tubes, thus forming a counter-flow situation. Further, an ultrasonic device was installed for water treatment with a frequency of 20.7 kHz and power ranging from 0 to 75 W. The results showed that the Fouling resistance for hard water increased evidently with increasing of water temperature and hardness. With the ultrasonic treatment, the Fouling resistance decreased remarkably compared with the untreated case, and the asymptotic Fouling resistance decreased monotonously with increasing of the ultrasonic power. Subsequently, the crystal morphology of calcium carbonate was observed in microscopic view and the transform of crystal from the vaterite to aragonite and calcite was analyzed based on the theory of the formation energy. It was confirmed that the ultrasonic treatment may have significant effect on the crystal shape, and more aragonites appeared with increasing powers of ultrasound.
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Development and Validation of a Numerical Model of Fouling within Spiral-Grooved Tubes
Advanced Materials Research, 2011Co-Authors: Yongchang Chen, Chong FangAbstract:Fouling of heat transfer surfaces causes serious technical and economic problems in industry. A CFD based model is proposed for predicting Fouling Process in spiral-grooved tubes. This model considered both crystallization at heat transfer surface and deposition of crystal forming in the stream. The precision of this model was validated using experiment date. It was proved that the model developed in this work can predict Fouling Process in spiral-grooved tubes well.
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Heat mass transfer model of Fouling Process of calcium carbonate on heat transfer surface
Science in China Series E: Technological Sciences, 2008Co-Authors: Zhenhua Quan, Yongchang ChenAbstract:A new heat mass transfer model was developed to predict the Fouling Process of calcium carbonate on heat transfer surface. The model took into account not only the crystallization Fouling but also the particle Fouling which was formed on the heat transfer surface by the suspension particles of calcium carbonate in the supersaturated solution. Based on experimental results of the Fouling Process, the deposition and removal rates of the mixing Fouling were expressed. Furthermore, the coupling effect of temperature with the Fouling Process was considered in the physics model. As a result the Fouling resistance varying with time was obtained to describe the Fouling Process and the prediction was compared with experimental data under same conditions. The results showed that the present model could give a good prediction of Fouling Process, and the deviation was less than 15% of the experimental data in most cases. The new model is credible to predict the Fouling Process.
Xinhua Wang - One of the best experts on this subject based on the ideXlab platform.
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impacts of sludge retention time on sludge characteristics and membrane Fouling in a submerged osmotic membrane bioreactor
Bioresource Technology, 2014Co-Authors: Xinhua Wang, Yao Chen, Bo Yuan, Yueping RenAbstract:Anaerobic–oxic membrane bioreactor (AOMBR) has been proposed as a highly effective method in municipal and industrial wastewater treatment. In this study, according to the sewage treatment system in a campus, long-term experiments were conducted to assess the impacts of the sludge retention time (SRT) on sludge characteristics and membrane Fouling, and the sludge parameters include biomass concentration, particle size distribution, extracellular polymeric substances (EPS), soluble microbial products (SMPs), and specific resistance to filtration (SRF). Our results clearly demonstrated that SRT was one of the most important factors influencing sludge characteristics, and different sludge characteristics resulted in different membrane Fouling degrees. A better treatment and filtration performances were observed at the SRT of 30 days compared to two SRTs of 10 and 90 days. Among these parameters, SMP had the most significant correlation with the membrane Fouling rate (dTMP/dt), and it had a negative impact on membrane filtration performance. The impact of SRT on membrane Fouling Process was discussed further by filtration models. At 10 days SRT, the complete-standard blocking model curve had a comparatively higher goodness-of-fit with the Fouling Process, and at 30 and 90 days SRT, the cake-standard blocking model curve had a relatively higher goodness-of-fit with respective Fouling Process.