HM-500 Multi Gas Leak Detector
Accurate and efficient
The ultimate leak detection rate of 0.05g/a, the sniffer gun responds quickly in 1 second, accurately locks the leak point, and eliminates misjudgment and omission.
One machine for multiple purposes
Quadrupole mass spectrometry technology supports simultaneous detection of multiple refrigerants and can easily cope with complex process requirements.
Stable and durable
The core components have a long life, the maintenance cycle exceeds 1 year, and the RSD is less than or equal to 3.8% for 100 consecutive tests.
Smart and easy to use
One-click test design, simple and intuitive interface, convenient operation and easy to use.
Product Overview

The HM-500 multi-gas leak detector is designed for finished equipment already charged with refrigerant. It can accurately detect various refrigerants such as R134a and R600a, with a minimum leak detection rate as low as 0.05g/a. This product combines high sensitivity with excellent stability, and can be flexibly configured with other substances to be tested through custom settings, fully meeting the leak detection needs of home appliance manufacturing, automotive air conditioning, refrigeration equipment and other fields.

Specifications
Product Specifications Test Host Performance Parameters R134a Minimum Detectable Leak Rate 0.05g/a
Name Multi-Gas Leak Detector R600a Minimum Detectable Leak Rate 0.05g/a
Model HM-500 Detectable Mass Range 2-100amu
Dimensions 724*370*1055mm Core Sensor Quadrupole Mass Spectrometer
Weight 88kg Ion Source 2 Filaments, Dual Yttria-coated Iridium
Power Voltage and Frequency 220V/50Hz Maximum Simultaneous Gas Detection 4
Display Touch Display Screen Startup Ready Time <5min
Sniffer Probe 3m Sniffer Response Time <1s
1. Cable  Includes communication, sampling Measurement Range 0.05-999.99g/a
2. Operation Handle  Handle + Sniffer Tip Gas Flow at Sea Level and 1 Standard Atmosphere (1013 mbar) 100-160ml/min (flow varies with altitude and atmospheric pressure)
Note: Minimum detectable leak rate is calculated as 3.5 times the standard deviation of noise.
Application Scenarios
Application Examples
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