RTP Substrate Temperature Control for Variable Wafer Properties
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Solution Overview
Problem
Current rapid thermal processing (RTP) systems face challenges in achieving robustness and throughput due to the complexity of selecting appropriate process control settings, which are heavily dependent on the skill of the process engineer and vary with non-uniform substrate characteristics.
Innovation Solution
An RTP control algorithm and system that detects substrate parameters such as thermal absorption, front side reflectivity, and dopant concentration using methods like transmission pyrometry, and selects appropriate temperature controllers, including open loop tuning, low temperature, and high temperature closed loop controllers, to optimize processing based on these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple process control settings are provided to handle different substrate characteristics, then the system becomes more adaptable to various substrates, but the complexity of selecting and managing these settings increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically detecting substrate parameters (thermal absorption, reflectivity, dopant concentration) before processing and pre-selecting appropriate process control settings from multiple available options. This eliminates the need for manual selection and simplifies the interface while maintaining adaptability across different substrate types.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring substrate parameters during processing and dynamically adjusting process control settings accordingly. This closed-loop control enables the system to adapt to substrate variations automatically, maintaining optimal processing conditions without increasing operational complexity for the user.
2Adaptability or versatility
If process control settings are manually selected by engineers, then flexibility in handling different substrates is achieved, but the process becomes dependent on engineer skill and experience
Solution Approach 1:
The system performs self-service by automatically detecting substrate parameters and selecting appropriate process control settings without requiring manual intervention. The system uses built-in algorithms to interpret substrate characteristics and configure optimal processing parameters, eliminating dependence on individual engineer expertise while ensuring consistent, reliable outcomes across different substrates.
Solution Approach 2:
The system dynamically changes processing parameters based on detected substrate characteristics. By automatically adjusting parameters such as heating power, ramp rates, and processing temperatures according to measured substrate properties, the system achieves consistent results across varied substrates without requiring manual recalibration by engineers.
3Ease of operation
If a single set of process control settings is used for all substrates, then the system is easier to operate, but non-uniform substrate characteristics result in non-uniform processing outcomes
Solution Approach 1:
The system performs preliminary detection of substrate parameters before processing begins. By measuring thermal absorption, reflectivity, and dopant concentration in advance, the system pre-configures appropriate process control settings for each substrate, ensuring uniform processing outcomes while maintaining operational simplicity through automated configuration.
Solution Approach 2:
The system automatically changes processing parameters based on detected substrate variations. By dynamically adjusting heating profiles, temperature targets, and processing rates according to measured substrate properties, the system achieves uniform processing outcomes across different substrates without requiring complex manual intervention, thus maintaining ease of operation while improving manufacturing precision.
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
This approach simplifies the process control settings selection, reduces dependence on the engineer's skill, and ensures predictable throughput by automatically adjusting process parameters, thereby improving the robustness and efficiency of RTP processes.
Implementation Method 1
a lamp assembly is provided over the processing chamber
Implementation Method 2
detecting one or more substrate parameters of a substrate in a processing chamber using transmission pyrometry
Data Source
AI summary
Embodiments disclosed herein include a method of processing a substrate. In an embodiment, the method comprises detecting one or more substrate parameters of a substrate in a processing chamber, and heating the substrate to a first temperature with an open loop tuning (OLT) heating process based on the one or more substrate parameters. In an embodiment, the method may further comprise placing the substrate on an edge ring, and heating the substrate to a second temperature with a low temperature closed loop controller. In an embodiment, the method further comprises heating the substrate to a third temperature with a high temperature closed loop controller.