For 3D Printer cleaning kit with clean needle(0.4mm),silicone brush for A1

*Effective Cleaning Tools: This for 3D PRINTER Nozzle cleaning kit includes a variety of tools such as nozzle cleaning needles, silicone brushes, and copper wire brushes, making comprehensive maintenance for optimal printer performance.

* for precision Cleaning Needle: The included 0.4mm cleaning needle is specifically designed for precision work, allowing users to effectively clear clogs in small nozzles, leading to improved print quality and reliability.Crafted from stainless steel, this for 3D Printer nozzle cleaning tool is both sturdy and flexible. It can be easily bent without breaking, its durability and long-term usability.

*Versatile Silicone Brush: The silicone brush is good for gentle cleaning of the nozzle place , effectively removing filament without causing damage, thus prolonging the life of your printer components.The cleaning brush efficiently removes debris from the nozzle, helping to minimize the chance of print defects and a good print output.

*Reliable Copper Wire Brush: The copper wire cleaning brush is good for tackling tougher dirt on nozzle surfaces. Its robust construction ensures that it can withstand repeated use while effectively enhancing work efficiency.

*User-Friendly Design: Each tool in this kit is designed for ease of use, featuring ergonomic grips and flexible materials that make the cleaning process straightforward and accessible, even for beginners for 3D printing.

Specifications:

Part Name:For 3D PRINTER nozzle cleaning kit

Material:stainless steel, silicone,copper

Size:100*80*50mm(package)

Nozzle cleaning needle size:0.4mm

Silicone brush suitable models:For A1 

Color:White+Black

Package Content:

10 * nozzle cleaning needles (0.4mm)

6 * nozzle Silicone brush

3 * copper wire cleaning brushes

Note:

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.