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Smoke Machine Leak Detector

ABOUT US
MR CARTOOL aims to help car owners solve automotive diagnosis problems in the most cost-effective and efficient way.
MR CARTOOL has professional R&D team and own manufacturing plant, we are constantly exploring and advancing in the field of automotive diagnostics. Smoke machine, fuel injector cleaner & tester, battery tester, manifold gauges, etc. have successfully saved customers a lot of inspection costs.
New Release
Accessories
【Multi Functions】Tightness Test, Intake System Test, Exhaust System Test, Cooling System and Overheating Protection. Built-in air pump and smoke generator, so it does not rely on another air machine, perfect for Mobile Automotive Repair! Gifts for Dad.
【Fast Smoke Output】The smoke can be produced within 10 seconds, and with a stable and large amount of smoke output after switch-on (by heating Baby Oil). Dramatically reducing diagnostic time.
【Convenient Design】Comes with a hook that allows you to hang it on your hood latch, the conical adapter will fit most intakes, and the 1.5m smoke hose can help reach and connect perfectly, not harm the EVAP system.
【Easy Operation and Safe】Thick smoke output detects even the smallest leaks. The smoke leakage tester is equipped with an assortment of adapters for multiple pipeline systems to facilitate various tests. (Note: Not fit for air conditioning system piping; Package does not include the test oil.)
【How to start the T100 Smoke Machine】(1). Install the hook and hang it under the engine hood. (2).Inject 10ml of test oil (3).Connect the smoke hose. (4).Connect the power clip to a 12V DC car battery. (5).Press the smoke control switch.
Customers say
Customers like the ease of use, value, and compressor of the auto accessory. They mention that it’s very simple to use, has adequate instructions, and is super convenient to have the air pump built in. Customers also appreciate the quality, saying that it gets the job done and is a great tool. However, some customers differ on smoke smell, and leakage.
AI-generated from the text of customer reviews
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