Square Floor Drain 10x10cm/3.9x3.9in Floor Drain Strainer Durable Hair Catcher Drain Garage Drain… Vairāk

Label:Yes SIZE AND INSTALLATION FIT: The panel measures about 3.9 by 3.9 inches, the required drainage depth is at least 1.97 inches, and the suitable sewer pipe is at least 1.97 inches, so users should check the reserved floor drain space and pipe size before installation FILTER SCREEN DESIGN: The built in porous filter screen helps catch hair and larger debris before they enter the pipe, reducing the chance of drainage blockage and supporting smoother water flow during bathing, washing, cleaning, and other routine floor water discharge tasks COPPER MATERIAL BODY: Made from copper material with a thickened structure, the drain provides firm support for common floor drainage areas and helps reduce breakage during normal installation and daily contact, giving users a practical metal drain cover for long term household use ODOR AND BACKFLOW CONTROL: The filter structure is designed to help reduce backflow and sewer odor return through the pipe, while also helping block small flying objects from coming up through the drainage line, making it useful for indoor drain points connected to sewer pipes WIDE FLOOR DRAIN USE: This square copper floor drain is suitable for kitchens, bathrooms, garages, basements, toilets, and balconies, helping manage daily floor water discharge in different household areas while keeping the drain opening covered and ready for regular use Specifications: Item Type: Floor Drain Material: Copper Color: Antique Bronze Size: Panel Size: Approx.10x10cm/3.9x3.9in Drainage Depth: ≥5cm / ≥1.97in Suitable Sewer Pipe: ≥5cm / ≥1.97in Weight: Approx. 450g / 15.87oz Application: Bathroom, balcony, hotel and public places, etc Package List: 1 x Floor Drain 1 x Drain Cover 1 x Filter Screen Notes: 1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2. Please allow slight manual measurement deviation for the data.