Wafer Heating Control Using Thermal Imaging Feedback
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Solution Overview
Problem
Existing wafer processing technologies struggle with inaccurate temperature control due to environmental factors and heating element variability, leading to inconsistent heating conditions and potential damage during spin cleaning.
Innovation Solution
An apparatus with a rotatable chuck, heating elements, and an image sensor that detects electromagnetic radiation from the wafer surface to control power supply based on real-time temperature measurements, allowing precise temperature distribution adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual power setting for heating elements is used, then device complexity is reduced, but temperature control precision deteriorates
Solution Approach 1:
The patent implements a feedback control system where an image sensor detects the actual temperature distribution of the wafer surface, and this detection information is fed back to automatically adjust the power supplied to each heating element. This closed-loop feedback mechanism resolves the contradiction by achieving precise temperature control (improving manufacturing precision) through automated feedback-based power adjustment, thereby avoiding the need for complex manual calibration procedures (reducing device complexity).
Solution Approach 2:
The patent replaces manual mechanical adjustment of heating element powers with an automated optical measurement and control system. The image sensor optically detects temperature distribution, and a control algorithm automatically calculates and applies the necessary power adjustments, substituting manual mechanical tuning with an automated sensor-based system. This substitution achieves higher precision while simplifying the operational complexity.
2Reliability
If heating elements are operated without real-time monitoring, then device complexity is reduced, but reliability deteriorates
Solution Approach 1:
The image sensor provides real-time monitoring of the wafer temperature distribution, creating a feedback loop that continuously verifies heating conditions. This feedback mechanism ensures reliability by detecting and correcting deviations from target temperature profiles, while the automated nature of the monitoring system prevents excessive complexity in the overall device architecture.
Solution Approach 2:
The system performs self-monitoring and self-correction of heating conditions. The image sensor automatically detects temperature variations, and the control system autonomously adjusts heating element powers without external intervention. This self-service capability enhances reliability by ensuring consistent heating conditions while maintaining relatively simple device architecture through automated self-regulation.
3Manufacturing precision
If environmental factors are not compensated, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The image sensor continuously monitors the actual temperature distribution, providing feedback that reveals the effects of environmental factors such as ambient temperature variations and heat loss. The control system uses this feedback information to compensate for environmental influences by adjusting heating element powers in real-time, achieving accurate temperature distribution without requiring complex predictive compensation models or additional environmental sensors.
Solution Approach 2:
The system automatically compensates for environmental factors through self-monitoring and self-adjustment. The image sensor detects temperature deviations caused by environmental influences, and the control algorithm autonomously calculates and applies corrective heating adjustments. This self-service compensation mechanism achieves high manufacturing precision while maintaining relatively simple device complexity by relying on automated detection and correction rather than complex environmental control infrastructure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurate temperature control during wafer processing, preventing pattern collapse and ensuring consistent results by dynamically adjusting heating based on actual temperature distribution.
Implementation Method 1
an image sensor arranged to detect electromagnetic radiation from a surface of the wafer
Implementation Method 2
heating elements arranged to heat a wafer mounted in the apparatus
Implementation Method 3
heating the wafer to cause evaporation of the cleaning liquid or rinse liquid
Data Source
AI summary
An apparatus for processing a wafer comprises: a rotatable chuck adapted to receive a wafer; a heating assembly comprising an array of heating elements arranged to heat a wafer received by the rotatable chuck; an image sensor arranged to detect electromagnetic radiation from a surface of the wafer; and a controller configured to control supply of power to the array of heating elements based on a measurement output of the image sensor.