A proposed Fuzzy logic model for Electrospun nanofiber pressurised membranes for water treatment- A review

Abstract

Electrospun nanofiber membranes and nanocomposites for water treatment is an emerging concept growing faster in science, gaining more prominence among various scientists, and creating attention to improve water quality. The familiarity with fabricating these materials is increased, and researchers worldwide target more nanomaterial manufacturing and synthesis for several applications. The electrospinning process for nanofibers' preparation allows polymers to incorporate various functionalized materials. Scientists have recently proposed electrospun membranes using fluorinated compounds and polymers with hydrocarbons. The membranes prepared by the electrospun nanofiber to purify water created a primary research axis, and various laboratory experiments proved efficient. In recent years, the usage of fuzzy analysis in industries has increased, and these logics are applied in every unit process of the water industry. The present review primarily discusses the recent pressurized electrospun membrane technologies utilized in the water industries and machine learning methods that can be applied in the water industries. Further, it suggests a new novel way of integrating options to connect the fuzzy with water treatment to enhance the electrospun nanofiber prospects in the water industry. Implementing these fuzzy models in future by water industries might reduce maintenance costs and help in understanding the characteristics of the effluent quality in detail.