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Never miss even the slightest fluctuation. Achieve stable manufacturing processes with NDK's QCM technology.
In semiconductor front-end manufacturing, minute process variations significantly impact product quality and yield. To stabilize processes andmaintain reproducibility, real-time awareness of what is happening during processing is increasingly critical. However, changes during processing are not always clearly visible, requiring advanced judgment based on experience and intuition when assessing equipment status or process progression.
NDK's Real-Time Process Monitor utilizes QCM (Quartz Crystal Microbalance) technology to capture changes within the process chamber in real time with high sensitivity. It provides previously hard-to-detect changes as quantified information. This supports process stabilization and decision-making, contributing to higher reproducibility and quality assurance.
In processes where the state of the process or the progression of reactions affects quality, monitoring via real-time process monitors is particularly effective.
For the three processes of deposition, etching, and ashing (resist stripping), capturing in-process variations in real time contributes to yield improvement, optimization of total turnaround time (TAT), and predictive maintenance.
Common Challenges
Difficulty detecting component abnormalities or particle generation within the precursor supply system
Challenges in assessing target wear and chamber deposition conditions
Inability to directly detect reactive material removal, leading to excessive cleaning
Abnormalities during deposition often only detected after process completion
Difficulty identifying factors causing variation in deposition rate and film thickness between wafers and across equipment, and ensuring reproducibility
Expected Effects of the Real-Time Process Monitor
Real-time monitoring of chamber environment for process optimization
Detection of precursor supply abnormalities during processing
Optimization of chamber cleaning and particle minimization
Visualization of chamber conditions for optimized maintenance timing
Real-time monitoring of film thickness variations
High-precision detection of initial reaction changes
Providing data for analyzing performance variation factors
【 Film Thickness Measurement Concept Using Chamber Wall Deposition Thickness Measurement 】
By measuring the thickness deposited on the chamber wall, the actual target film thickness is measured relatively.
Common Challenges
Reactive residue buildup on chamber walls causes etch performance fluctuations
Reactive residue accumulation increases particles on wafers
Reactive residue removal cannot be directly detected, leading to excessive cleaning
Difficult to analyze causes and implement countermeasures for performance variations between wafers and equipment
Small etch areas make endpoint detection via luminescence difficult
Real-time detection during process anomalies is challenging
Expected Effects of the Real-Time Process Monitor
Direct real-time monitoring of reactive material deposition and removal
Optimization of chamber cleaning and particle minimization
Visualization of chamber conditions and optimization of maintenance timing
Provides data for analyzing factors causing performance variations between wafers and between devices
Applicable to APC (Advanced Process Control) by monitoring behavior during etching
Provides material data for determining etch end points
Detects abnormalities through real-time monitoring of the chamber environment
【 Etching Equipment Measurement Concept Diagram 】
【 Chamber Wall Deposition Thickness Measurement Concept 】
By measuring the thickness deposited on the chamber inner wall, the actual target film thickness is measured relatively.
Common Challenges
No clear indicator for end-of-ash, leading to under-processing or over-processing
Fluctuations in plasma or equipment conditions affect removal performance
Resist residue may cause defects in subsequent processes
Expected Effects of the Real-Time Process Monitor
Detect process changes in real time and clearly determine the ashing endpoint
Indirectly monitor plasma fluctuations
Achieve optimized processing times and stable yield
Provide data necessary for overhaul decisions
Case Study: MEIDEN NANOPROCESS INNOVATIONS, INC.
【 Installation on Ashing Equipment 】
【 Ashing Process Chamber
Measurement Concept Diagram 】
【 Measurement Evaluation 】
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For inquiries or technical questions regarding the QCM Real-Time Process Monitor, please feel free to contact us.
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