Ultra Clean. has been granted a patent for a method and apparatus designed to detect leaks in units under test. The system utilizes a helium dispenser, vacuum source, and motion detectors to monitor helium dispersion and vacuum pressure, providing real-time leak detection through a graphical user interface. GlobalData’s report on Ultra Clean gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Ultra Clean, was a key innovation area identified from patents. Ultra Clean's grant share as of June 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Leak detection method and apparatus using helium dispensing
The patent US12025534B2 describes an innovative apparatus and method for detecting leaks in units under test, utilizing a helium-based detection system. The apparatus includes a helium dispenser connected to a helium gas source, a vacuum source for the unit under test, and a helium detector that is fluidly coupled to the vacuum source. A controller integrates signals from both the helium detector and a motion detector, which consists of two accelerometers located within the nozzle of the helium dispenser. This design allows for precise monitoring of the helium dispensing process, including the speed of motion of the dispenser and the quantity of helium detected, enhancing the accuracy of leak detection.
The method outlined in the patent involves several steps, starting with scanning a SKU on the unit under test and connecting it to the testing apparatus. After establishing a vacuum pressure, helium is dispensed over the unit, particularly over welds, while monitoring the motion of the helium gun. The accelerometers provide real-time data on the speed of the dispenser, which is crucial for determining the success of the leak test. If the detected helium levels exceed acceptable limits or if the dispenser moves too quickly, the system notifies the user through visual and audio alerts. Additionally, the method includes logging SKU information and failure notices to a database for further analysis, potentially aiding in the optimization of manufacturing processes.
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