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E-mail
317399383@qq.com
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Phone
15955179814
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Address
No. 9996 Susong Road, Economic Development Zone, Hefei City, Anhui Province
Hefei Zhongguang Electronic Technology Co., Ltd
317399383@qq.com
15955179814
No. 9996 Susong Road, Economic Development Zone, Hefei City, Anhui Province
Method for improving the uniformity of semiconductor coating: comprehensive optimization from process to equipment
Semiconductor coating, as a pre critical step in core processes such as photolithography and etching, directly affects the accuracy of chip pattern transfer, electrical performance consistency, and yield due to the uniformity of its film thickness. To improve the uniformity of adhesive coating, it is necessary to focus on the four core dimensions of "material adaptation, equipment calibration, process control, and environmental management", and achieve nanoscale film thickness deviation control through systematic optimization. The specific methods are as follows:
1、 Accurate matching and pre-processing of material properties
-Optimize the photoresist formula parameters: adjust the viscosity, surface tension and solid content according to the coating method (spin coating, slit coating, spray coating). For example, the spin coating process needs to reduce the shear thinning effect of high viscosity adhesive, and the slit coating needs to ensure the stability of the spreading rate of the glue when contacting the wafer.
-Surface pretreatment and strengthening of wafers: Organic residue is removed through plasma cleaning, and HMDS (hexamethyldisilazane) coating is used to enhance the adhesion between photoresist and wafers. At the same time, the water droplet angle on the wafer surface is controlled within the range of 10-20 ° to avoid "edge shrinkage" or "pinholes" during coating.
-Temperature and degassing control of photoresist solution: Preheat the photoresist to 23 ± 1 ℃ (standard process temperature) to reduce viscosity fluctuations; Perform 30 minutes of vacuum degassing before gluing to remove microbubbles from the glue solution and prevent local thickness changes after gluing.
2、 Core parameter calibration and upgrade of adhesive coating equipment
-Optimization of spin coating equipment: Accurately control the speed curve (acceleration section, constant speed section, deceleration section), with a speed error of ≤± 5rpm in the constant speed section. At the same time, calibrate the uniformity of vacuum suction force of the suction cup to avoid "edge thickening" caused by wafer edge warping; Upgrade the Edge Exclusion Ring (EBR) design by adjusting the nozzle position and exclusion fluid flow rate to suppress the formation of edge beads.
-Debugging of narrow slot gluing equipment: calibrate the parallelism between the gluing head and the wafer (deviation ≤ 2 μ m), optimize the synchronization between gluing speed and glue dispensing volume, adopt the "dynamic flow compensation" algorithm, and adjust the local glue dispensing volume based on the wafer surface height distribution (real-time feedback through laser ranging); Regularly clean the nozzle of the glue head to avoid uneven thickness caused by residual glue.
-Auxiliary equipment upgrade: Introducing wafer back cleaning (BWR) module to remove wafer tilt caused by backside contamination; Install a real-time film thickness detection unit (such as an optical interferometer) to provide immediate feedback on thickness data after coating and dynamically adjust process parameters.
3、 Fine tuned control of the manufacturing process
-Staged process parameter optimization: In the spin coating process, low-speed pre coating (500-1000rpm) ensures uniform coverage of the adhesive solution, high-speed glue throwing (3000-6000rpm) controls film thickness, and subsequent deceleration stages avoid backflow of the adhesive solution; When applying adhesive to narrow slits, it is necessary to match the scanning speed of the adhesive head with the wafer movement speed to avoid "excessive thickness at the starting end" and "insufficient adhesive at the end".
-Differential control between edge and center: In response to the thickness deviation between the center and edge of the wafer, strategies such as "slowing down the center area" and "coating the edge multiple times" are adopted, or by adjusting the suction cup temperature distribution (with an accuracy of ± 0.5 ℃), the thermal diffusion effect is used to balance the film thickness.
-Collaborative optimization of curing process: After coating, the soft drying temperature is increased step by step (such as 60 ℃ → 90 ℃) to avoid uneven surface shrinkage caused by rapid evaporation of the adhesive solution. The soft drying time error is controlled within ± 10 seconds to ensure uniform solvent escape.
4、 Strictly control the environment and auxiliary conditions
-Cleanroom environment control: Maintain Class 1 cleanliness in the glue application area, with a temperature of 23 ± 0.5 ℃ and humidity of 45 ± 5%, to avoid local glue defects caused by dust particles and reduce the impact of temperature and humidity fluctuations on the viscosity of the glue solution.
-Optimization of wafer loading and transportation: using vacuum suction pens or robotic arms for contactless handling to avoid scratches on the wafer surface; Ensure that the wafer is placed at the center of the suction cup with an eccentricity of ≤ 0.2mm to prevent thickness deviation caused by uneven centrifugal force.
-Process stability monitoring: Establish an SPC (Statistical Process Control) system to track film thickness data in real-time (3 σ deviation ≤± 2%), regularly calibrate equipment sensors (such as speed sensors and flow sensors), randomly inspect film thickness in different areas (center, edge, quadrant points) of each batch of wafers, and promptly identify abnormalities.
Through the multi-dimensional collaborative optimization mentioned above, a significant improvement in the uniformity of semiconductor coating film thickness can be achieved, laying the foundation for high-precision pattern transfer in subsequent processes and reducing yield losses during chip manufacturing. In practical applications, targeted optimization solutions need to be selected and continuously iterated based on specific requirements such as wafer size, coating thickness, and photoresist type.