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QCM use in the semiconductor industry for processes like ALD, E-beam, resistive source and sputtering.
Quartz crystal microbalance (QCM) technology has been used for decades to control deposition rate and thickness for the most complex processes seen in the ophthalmic, optical, display, and solar markets. INFICON has recently made a new advancement in QCM technology to address a problem seen across all of these industries related to QCM temperature effects. Thermal shock can cause QCM thickness errors which can decrease yield and increase manufacturing costs if temperature is not accounted for correctly.
Temperature impacts the frequency measurement and can create false mass readings. Thin film deposition controllers currently on the market have no good way of distinguishing frequency shifts related to mass from frequency shifts related to temperature, resulting in thickness errors and poor PID control. This can be detrimental to complex coating processes due to the low deposition rates and incredibly thin layers required. Thermal shocks can occur at any point in a deposition process and can cause unnecessary PID-loop corrections, triggering non-uniform deposition in respect to time. This means that the quality throughout the bulk of the material is inadequate. For very thin films, the thickness termination may not be at the real intended thickness because the process time window is small compared to the time allowed for a QCM to recover from a thermal shock event.
INFICON has patented a new temperature compensation technique for SC-cut crystals to remove the effects of temperature variation on the QCM without the need for additional hardware or custom and expensive sensors.
Please join us for the ‘Temperature Compensation for QCMs’ webinar, hosted by Sheldon Wayman, Product Engineer for INFICON Inc.
Smart essentials for intelligent leak detection
Most people, when asked, cite equipment downtime as a top contributor to cycle time in their wafer fabs. Downtime impacts cycle time by taking away buffer capacity (driving tools to a steeper part of the operating curve), increasing process time variability (because lots must wait during downtime events), and reducing the available number of qualified tools during a given day or shift. Understanding these effects suggests specific metrics that are helpful for driving cycle time improvement and other metrics that are less useful. In this webinar, Dr. Jennifer Robinson, Cycle Time Evangelist for INFICON, will teach participants to select the best downtime metrics and operating practices for cycle time improvement. The session will include chart examples from the FabTime® reporting module.