Neural network for fractal dimension evolution

Oliveira, Alessandra da Silva; Lopes, Verônica dos Santos; Filho, Ubirajara Coutinho; Moruzzi, Rodrigo Braga; Oliveira, André Luiz de

doi:10.2166/wst.2018.349

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…This set of equations was solved in order to calculate the transition time from constant pore blocking to the onset of cake formation ( t 1 ) in addition to the complete pore blocking and cake constants ( K 1 and K c , respectively). The set of equations was implemented in R language and a genetic algorithm (Scrucca, 2013) was used to find the optimal parameters with population size, generation, crossover probability and mutation probability fixed at 100, 500, 0.8 and 0.1, respectively, as suggested by Oliveira et al (2018).…”

Section: Methodsmentioning

confidence: 99%

“…(1) − dJ dt J n−2 = K J − J SS K c , respectively). The set of equations was implemented in R language and a genetic algorithm (Scrucca, 2013) was used to find the optimal parameters with population size, generation, crossover probability and mutation probability fixed at 100, 500, 0.8 and 0.1, respectively, as suggested by Oliveira et al (2018).…”

Section: Mathematical Modeling Of Flux Decaymentioning

confidence: 99%

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Performance of asymmetric spinel hollow fiber membranes for hibiscus (Hibiscus sabdariffaL.) extract clarification: Flux modeling and extract stability

Paraíso

Santos

Bessa

et al. 2020

J. Food Process. Preserv.

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This work evaluates a filtration process with and without centrifugation through asymmetric spinel hollow membranes for clarification of hibiscus extract. The centrifugation step increased the steady state flux through the membrane in 23.4%. Complete pore blockage was the main fouling mechanism and polysaccharides, proteins and phenolic compounds were mostly responsible for fouling. After sequential membrane filtration, total soluble solids, total solids and L* color coordinate (luminosity) were reduced from 5.53 to 4.03 °Brix, 47,120 to 37,780 mg/L, and 15.69 to 22.03, respectively. Seven individual bioactive compounds were identified in both extract and permeate by ultra performance liquid chromatography-mass spectrometer. The filtrated extract showed greater stability than the feed extract after 20 storage days (reduction of 43.1% in tea cream formation). The sequential centrifugation and filtration through asymmetric spinel hollow membranes can be potentially applied to produce hibiscus ready-to-drink tea with high antioxidant content. Practical applications Membrane separation process is a filtration technique based on the permeation of solute molecules through a semipermeable membrane. The ceramic membrane is widely used for the purification and clarification of food products, but the cost of material is a disadvantage for the use of filtration processes. This work demonstrated the possibility of exploring the use of asymmetric spinel hollow membrane in clarification and increased stability of teas ready for consumption. This membrane presents composition of 25 wt% of dolomite and 75 wt% of alumina, thus presenting high stability, high permeate flows and low-cost ceramic material. This filtration technology membrane can also be combined as a pre-treatment, such as centrifugation, thus improving filtration efficiency and product stability. Finally, the new membrane used was feasible to produce a hibiscus tea ready-to-drink rich in antioxidants. How to cite this article: Paraíso CM, dos Santos SS, Pereira Bessa L, et al. Performance of asymmetric spinel hollow fiber membranes for hibiscus (Hibiscus sabdariffa L.) extract clarification: Flux modeling and extract stability.

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Section: Methodsmentioning

confidence: 99%

Section: Mathematical Modeling Of Flux Decaymentioning

confidence: 99%

Performance of asymmetric spinel hollow fiber membranes for hibiscus (Hibiscus sabdariffaL.) extract clarification: Flux modeling and extract stability

Paraíso

Santos

Bessa

et al. 2020

J. Food Process. Preserv.

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“…Jar test experiments are manually performed and, hence, were not conceived for realtime decision-making. Additionally, coagulant dosing can become complex when raw water quality changes rapidly and substantially (Pandilov and Stojkov, 2019), particularly due to the critical influence of pH, turbidity, and color, among other properties of contaminants and hydraulic conditions, on coagulation performance (Oliveira et al, 2018;Zhang and Luo, 2020;Zhu et al, 2021). Therefore, the jar test is not feasible for real-time adjustment (Zangooei et al, 2016;Jayaweera and Aziz, 2018).…”

Section: Introductionmentioning

confidence: 99%

A Novel Data-Driven Fuzzy for Accurate Coagulant Dosage in Drinking Water Treatment

Bressane¹,

Goulart²,

Gomes³

et al. 2022

Preprint

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Coagulation is the most sensitive step in drinking water treatment. Underdosing may not yield the required water quality, whereas overdosing may result in higher costs and excess sludge. Traditionally, the coagulant dosage is set based on bath experiments performed manually. Therefore, this test does not allow real-time dosing control, and its accuracy is subject to operator experience. Alternatively, solutions based on machine-learning (ML) have been evaluated as a computer-aided alternative. Despite these advances, there is open debate on the most suitable ML method applied to the coagulation process, capable of the most highly accurate prediction. This study addresses this gap, where a comparative analysis between ML methods was performed. As a research hypothesis, a novel data-driven fuzzy inference system (FIS) should provide the best performance due to its ability to deal with uncertainties inherent to complex processes. Although ML methods have been widely investigated, only a few studies report hybrid neuro-fuzzy systems applied to coagulation. Thus, to the best of our knowledge, this is the first study thus far to address the accuracy of this novel data-driven FIS for such application. The novel FIS provided the smallest error (0.86), indicating a promising alternative tool for real-time and highly accurate coagulant dosing in drinking water treatment.

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“…Oliveira et al (2018).Tabela 1 -Valores de remoção de turbidez (%) na flotação por ar dissolvido para as condições estudadas 20 s -1…”

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Estudo da coagulação/floculação de água com turbidez moderada na sedimentação e flotação por ar dissolvido

Lopes

Silva

Moruzzi

et al. 2020

Eng. Sanit. Ambient.

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RESUMO Os processos de formação, crescimento, ruptura e rearranjo dos flocos que ocorrem durante a coagulação/floculação influenciam, significativamente, a eficiência da remoção dos agregados no tratamento de água. Por isso, é importante estudar as propriedades dos flocos, que são alteradas continuamente durante a floculação e podem interferir na subsequente remoção das partículas. Neste trabalho foi avaliada a eficiência de remoção de turbidez por meio da sedimentação e da flotação por ar dissolvido (FAD), com o uso de aluminato de sódio como agente coagulante. Adicionalmente, a etapa de floculação foi monitorada usando imagens obtidas por método não intrusivo. A FAD proporcionou melhor resultado de remoção de turbidez, de 93%, mostrando robustez como etapa no processo de tratamento de água. Na etapa de floculação, o tamanho dos flocos variou de 0,03 a 0,53 mm, com maior concentração de partículas nas menores classes de tamanho monitoradas. O estudo da dimensão fractal mostrou que o aumento da intensidade da mistura acentuou a ruptura (Dmédio de 0,2 mm para 20 s-1 para Dmédio de 0,1 mm para 40 s-1) nos flocos, promovendo o surgimento de flocos menos compactos. A FAD se mostrou menos sensível às variações de tamanho dos agregados quando comparada à sedimentação.

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Neural network for fractal dimension evolution

Cited by 5 publications

References 21 publications

Performance of asymmetric spinel hollow fiber membranes for hibiscus (Hibiscus sabdariffaL.) extract clarification: Flux modeling and extract stability

Performance of asymmetric spinel hollow fiber membranes for hibiscus (Hibiscus sabdariffaL.) extract clarification: Flux modeling and extract stability

A Novel Data-Driven Fuzzy for Accurate Coagulant Dosage in Drinking Water Treatment

Estudo da coagulação/floculação de água com turbidez moderada na sedimentação e flotação por ar dissolvido

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