Semiconductor Chamber Diagnostics for Inter-Chamber Calibration
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Solution Overview
Problem
Existing semiconductor manufacturing apparatuses face performance variations due to time-related factors, component replacements, and cleaning, which current calibration methods fail to address optimally, particularly in identifying and calibrating inter-chamber differences effectively.
Innovation Solution
A diagnostic apparatus that collects data from reference and calibration-target chambers, calculates representative values, and maps feature quantities onto multi-dimensional graphs to identify and calibrate performance differences, enabling optimal calibration across multiple manufacturing condition parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed using plasma emission intensity or plasma density, then some performance parameters can be adjusted, but the actual inter-chamber difference cannot be identified and multiple parameters cannot be calibrated simultaneously
Solution Approach 1:
The patent employs multiple types of sensors (electromagnetic radiation detection sensors, acoustic sensors, temperature sensors, pressure sensors) to perform multiple functions simultaneously: identifying inter-chamber differences, measuring plasma generation conditions, and calibrating multiple performance parameters. This multi-functional approach resolves the limitation of single-parameter calibration methods.
Solution Approach 2:
The patent changes the parameters used for calibration from traditional single-parameter methods (plasma emission intensity only) to multi-parameter combinations including plasma generation condition parameters, chamber temperature, pressure, and acoustic characteristics. This allows simultaneous identification of inter-chamber differences and calibration of multiple performance parameters.
2Ease of manufacture
If sensor selection is based on engineer experience, then calibration can be performed, but the solution is not optimal and lacks systematic approach
Solution Approach 1:
The system automatically selects and configures sensors based on the type of inter-chamber difference to be identified and the performance parameters to be calibrated. The apparatus diagnostic device determines the appropriate sensor combination and measurement conditions without requiring manual selection by engineers, making the system self-configuring and optimal.
Solution Approach 2:
The patent implements a feedback mechanism where the apparatus diagnostic device continuously monitors chamber performance, compares measured values with reference values, and automatically adjusts sensor selection and calibration parameters to optimize the calibration process based on actual chamber conditions.
3Adaptability or versatility
If multiple parameters are calibrated simultaneously, then comprehensive performance adjustment is achieved, but the complexity of identifying inter-chamber differences increases
Solution Approach 1:
The patent segments the calibration process into distinct modules: inter-chamber difference identification using sensor arrays, plasma generation condition measurement, and performance parameter calibration. Each module handles specific tasks independently, reducing overall system complexity while enabling multi-parameter calibration.
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 optimizes performance consistency by inhibiting variations in semiconductor apparatuses, achieving homogenization of performance across different chambers and reducing the need for manual sensor selection, thereby improving the effectiveness of inter-chamber calibration.
Implementation Method 1
Japanese Patent Application Laid-Open No. 2009-295658 proposes a calibration method using plasma emission intensity or plasma density
Data Source
AI summary
An apparatus diagnostic apparatus that performs a computation process using data acquired from a semiconductor apparatus manufacturing apparatus having a reference chamber to create reference chamber feature quantity map data by mapping a feature quantity onto a graph having axes representing a plurality of parameters. The apparatus diagnostic apparatus also performs a computation process using data acquired from a semiconductor apparatus manufacturing apparatus having a calibration-target chamber to create calibration-target chamber feature quantity map data by mapping a feature quantity onto a graph having axes representing a plurality of parameters. Based on patterns observed in the reference chamber feature quantity map data and the calibration-target chamber feature quantity map data, the apparatus diagnostic apparatus identifies a performance difference between different chambers, a performance difference resulting from a temporal change of a single chamber, or a performance difference resulting from component replacement or component cleaning of a single chamber.