- -41%
Nincs szín - 80db M4 M5 M6 M8 rugós szorító kémény U anya gyorsbillentyű rögzítő készlet-készlet
Nincs szín - 80db M4 M5 M6 M8 rugós szorító kémény U anya gyorsbillentyű rögzítő készlet-készlet
1 326 Ft
41% megtakarítás
2 247 Ft
Nincs adó
80pcs M4 M5 M6 M8 Spring Clamp Chimney U Nut Quick Clip Fastener Assortment-Kit
Item Details:
*100% Brand new and high quality
*Platic fasteners connected to the car body, with high elasticity, high strength, and high hardness
*80 B-shaped U-shaped spring clip chimney nut U nut quick clip fastener assortment kit
*Product model: A2699
*Product Name: [Combination] 80pcs-Clip Nuts
*B type reed nut is suitable for: automobile and motorcycle
*Material: Stainless steel 304, 65 manganese steel
*Whether magnetic: No
*Packing size (CM): 17.8 * 10 * 2.3
*Surface treatment: primary color blue white zinc
*Application: car, motorcycle
*Quantities:M4-25PCS, M5-25PCS, M6-15PCS, M8-15PCS
Package Contents:
80*Clip Nuts
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.
Item Details:
*100% Brand new and high quality
*Platic fasteners connected to the car body, with high elasticity, high strength, and high hardness
*80 B-shaped U-shaped spring clip chimney nut U nut quick clip fastener assortment kit
*Product model: A2699
*Product Name: [Combination] 80pcs-Clip Nuts
*B type reed nut is suitable for: automobile and motorcycle
*Material: Stainless steel 304, 65 manganese steel
*Whether magnetic: No
*Packing size (CM): 17.8 * 10 * 2.3
*Surface treatment: primary color blue white zinc
*Application: car, motorcycle
*Quantities:M4-25PCS, M5-25PCS, M6-15PCS, M8-15PCS
Package Contents:
80*Clip Nuts
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.
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