ABSTRACT
Data science is a form of data-oriented science, which serves as a set of theories, methodologies and technologies for data exploration and analysis. Considering that membrane separation process for Chinese materia medica (CMM) manufacturing is a non-linear system, the data obtained regarding its process can be either multivariate, non-linear, strong noise, non-normally distributed, or non-evenly distributed. Due to the special features of data science, research has shed lights on its application in the scientific exploration and technological innovation in the complex membrane processes based on CMM system. There are a few key aspects of data science that are worth mentioning, making it competent as an analytical tool for CMM manufacturing integrated membrane processes. They can be recognized as the following, such as (1) the ability to precisely describe the mass transfer properties of CMM integrated membrane processes; (2) the dynamic description of membrane mass transfer process by molecular simulation; (3) the application of computational fluid dynamics simulation in membrane technology, and (4) the powerful and advanced data processing technology. This paper also reviewed some real case studies encountered by the authors during the investigation of membrane technology for CMM manufacturing based on data science.
ABSTRACT
A utilização de processos de membrana em Engenharia Ambiental tem expandido de forma significativa nos últimos anos e, tendo em vista a importância da possibilidade de otimização da sua operação com vistas à produção máxima de permeado em função do tempo, este trabalho teve por objetivo definir uma técnica de otimização da operação de sistemas de ultrafiltração mediante o estudo de ciclos de operação e lavagem. Os ensaios experimentais foram efetuados tendo-se empregado duas membranas de ultrafiltração com diferentes pesos moleculares de corte e, com base nos resultados experimentais, foi possível a proposição de um modelo matemático que permitiu a otimização da operação de sistemas de ultrafiltração, o que possibilitou o aumento da produção do volume de permeado em cerca de 14 por cento.
The utilization of membrane processes in Environmental Engineering has expanded significantly in the last few years. This paper had the primary objective of defining an optimization technique for ultrafiltration (UF) membrane operation by studying UF membrane operation and backwashing cycles. The main importance of UF operation optimization is to maximize permeation production as a function of time. Experimental tests were conducted with two UF membranes with different molecular weight cutoff. The experimental results led to the proposition of a mathematical model for the optimization of UF systems; such optimization conducted in practice to an increase of 14 percent in the permeate volume production.