R134A R12 Valve Core Disassembly Installation Tool For Car Air Condition Repair

Features:

*Quick Disassembly of R134A R12 Valve Core:This tool is specifically designed to remove and install R134 or R12 valve cores from AC systems without any loss. It allows for quick and efficient maintenance of valves without the need for discharging or recovering the .

*Adjustable High Pressure and Low Pressure Couplers:The high-pressure coupler (red) has a 16mm inner diameter, while the low-pressure coupler (blue) has a 13mm inner diameter. These couplers ensure compatibility with different valve cores and provide a secure connection.

*Suitable for Various Applications:This valve core remover installer is suitable for use in vehiclecarautomatic air conditioning systems, home air conditioners, and HVAC maintenance or repair. It offers versatility and convenience for different air conditioning systems.

*Stainless Steel Integrated Ball Valve:Featuring a well-designed ball valve and threaded fluids, this tool allows users to block the during valve core replacement, ensuring no loss. The stainless steel construction ensures durability and long-lasting performance.

*Easy to Use and Install with Strong Sealing:This valve core remover installer is user-friendly and requires no complicated procedures. It is designed for easy installation and provides a strong seal, ensuring durability and safety for extended use.

Specifications:

*Product Name:Valve Core Disassembly Installation Tool

*Material:Stainless Steel Body

*Size:About 113.9 mm

*Adjustable distance:About 63 mm

*Knob Material:Aluminium alloy

*Withstand pressure:45bar

*Color:Red (High pressure coupler), blue (Low pressure coupler)

*Styles:Red only, Blue only, Red+Blue set

Package Content:

1 * Red Tool

Or

1 * Blue Tool

Or

1 * Red Tool

1 * Blue Tool

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.