Email:xu@hlkncse.com
Tel:13358064333
Fluid Control Division​
Cleaning Efficiency of Wet Cleaning Machines: Data-Driven Precision in Semiconductor Manufacturing

Introduction‌
In the semiconductor industry, the cleaning performance of wet cleaning machines is never based on intuition but strictly adheres to data-driven thresholds. Below are the critical parameters and their impact on cleaning efficacy, backed by empirical evidence from testing over 200 units.


‌1. Spray System: Precision in Fluid Dynamics‌

  • ‌Pressure Stability:‌ A pressure fluctuation >3% or a verticality deviation >0.5° relative to the wafer surface can cause a surge in 1μm particle residues on the 3mm edge ring of 8-inch wafers—from ≤5 particles/wafer to >20.

  • ‌Calibration & Monitoring:‌ Weekly calibration is mandatory, with flow sensors ensuring per-nozzle flow deviation is controlled within ±2%.


‌2. Chemical Mixture: The Art of Proportions‌

  • ‌SiO₂ Etching:‌ For oxide layer removal, the HF-to-water ratio must be strictly 1:50±2. A 1% concentration drop reduces the etch rate from 120Å/min to 80Å/min, leading to incomplete cleaning.

  • ‌Metal Ion Contamination:‌ Chelating agent concentration must be maintained at 1.0±0.1wt%. Outside this range, metal residue levels rise exponentially.


‌3. Carrier Fixtures: The Hidden Bottleneck‌

  • ‌Tolerance Limits:‌ A parallelism error >0.03mm or single-side wear >0.05mm in boat slots increases wafer wobble (>0.2mm), reducing local fluid exchange efficiency by 35%—a root cause of batch defects.

  • ‌Maintenance Protocol:‌ Monthly inspection is mandatory; any non-compliance requires immediate factory refurbishment.


‌Conclusion‌
By tightly controlling these parameters—spray system stability, chemical precision, and carrier fixture integrity—cleaning yield can be stabilized above 99.7%. This data-centric approach eliminates guesswork, ensuring consistent quality in semiconductor manufacturing.