Door Closer For Single Door Double Door Punch-free Automatic Door Closer Tension Closing Device Door Hardware Accessories

Features: *Brand new and high quality *Made of high quality material, and practical to use *Wide range of applicable types:suitable for doors or doors with stronger closing force. For example: screen doors, sliding double doors, invisible doors, security doors, aluminum alloy glass doors, iron doors, office doors, interior doors, kitchen and bathroom doors. *, anti-corrosion, strong, stable, wear-resistant, weatherproof, small size and space-saving, quiet and safe cutting device. * and: The high-quality steel wire rope has passed 50,000 times of tensile test and rebound test, and has strong tensile force. *Simple and fast installation: non-porous glue installation(install and use, use after 24 hours, stronger stickiness), after the door closer is glued, the stickiness is very strong and will not fall easily. And it can be removed at any time when not in use, without damaging the of the object. *When studying and working, avoid repeatedly getting up and opening the door to improve the efficiency of study and work; it can prevent and flies from entering the room, and mice will not have the opportunity to enter the room to steal things, which can prevent kitchen fumes from entering the living room, which is effective Isolate the moisture and stale air from the bathroom; when you turn on the air conditioner, the hot and cold air will not leak too much, thus reducing the electricity bill and saving worry and trouble Specifications: Pull force: 800g Cable length: .2 meters Material: ABS+Stainless steel Color: black/white Size:(length×width×height): 63×63×16mm Applicable door types: single door, left and right door, double door. Package Contents: *Door closer *Hook sticker *Nail-free sticker      . 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.