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US 2019/0337824 A1Published application
Deionizing device
AssigneeAmogreentech Co., Ltd.
InventorsIn Yong SEO, Jun Sik HWANG
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Abstract
Provided is a deionization apparatus which includes: a porous electrode having fine pores; a non-pore ion exchange membrane that is formed in the porous electrode; a counter electrode that is spaced from the non-pore ion exchange membrane and faces the non-pore ion exchange membrane; and a spacer that is located between the porous electrode and the counter electrode, and that has a flow passage through which water to be treated passes.
Claims9
A deionization apparatus comprising:
- a porous electrode including a porous substrate, wherein the porous substrate is formed of a non-woven fabric, a first porous nanofiber web having first pores and laminated on one surface of the non-woven fabric and a second porous nanofiber web having second pores and laminated on the other surface of the non-woven fabric, and the first porous nanofiber web and the second porous nanofiber web is formed of electrospun and accumulated nanofibers, the nanofibers being made of a polymer material;
- a non-pore ion exchange membrane formed on the second porous nanofiber web;
- a conductive film formed on the first porous nanofiber web, the conductive film being made of a conductive material, wherein the conductive material is coated on inner surfaces of the first pores;
- a counter electrode facing and spaced from the non-pore ion exchange membrane;
- a spacer located between the non-pore ion exchange membrane and the counter electrode, and having a flow passage through which water to be treated passes;
- and
- an insulating layer in contact with the counter electrode or the porous electrode,
- wherein a thickness of the first porous nanofiber web and the second porous nanofiber web is thinner than that of the non-woven fabric, and
- wherein the porous electrode, the non-pore ion exchange membrane, the spacer, the counter electrode, and the insulating layer are rolled into a spiral shape.
6 more elements
Dependencies are inferred from the claim text.