In-situ Substrate Defect Detection via Mechanical Pulse Propagation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining substrate integrity in semiconductor manufacturing are costly and time-consuming, requiring offline analysis with complex equipment that delays the processing time and provides results only after the substrate has been fully processed.
Innovation Solution
A non-destructive signal propagation system that uses a transducer to convert electrical signals into mechanical pulses, which are coupled to the substrate and detected by sensors to identify distortions, allowing for in-situ detection of defects by comparing the signal responses with a baseline or computational model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If offline analysis techniques (SIRD, photoluminescence, photo-thermal heterodyne spectroscopy) are used to detect substrate defects, then measurement precision is improved, but loss of time and productivity deteriorate due to delayed results after full processing
Solution Approach 1:
The patent implements in-situ defect detection during the substrate processing sequence itself, performing measurements preliminarily before the substrate is fully processed. The optical measurement system captures defect information at intermediate processing stages, eliminating the need for post-processing offline analysis and enabling timely intervention decisions.
Solution Approach 2:
The patent replaces complex mechanical offline analysis equipment with an optical measurement system that uses light interaction to detect substrate defects. By substituting mechanical/SIRD methodologies with optical techniques, the system achieves comparable measurement precision while enabling in-situ operation that eliminates processing delays.
2Measurement precision
If offline analysis equipment is used to determine substrate integrity, then measurement precision is improved, but device complexity and cost increase due to complex test equipment requirements
Solution Approach 1:
The patent creates a multi-functional optical measurement system that can perform multiple substrate characterization functions within a single integrated platform. The system combines defect detection, structural analysis, and integrity assessment capabilities, eliminating the need for separate specialized offline analysis equipment and reducing overall device complexity.
Solution Approach 2:
The patent introduces an optical intermediary system that mediates between the substrate and the measurement apparatus. The optical measurement system acts as an intermediary that translates substrate structural information into detectable optical signals, simplifying the measurement process compared to direct complex mechanical or spectroscopic offline analysis.
3Measurement precision
If offline analysis is performed after full substrate processing, then measurement precision is improved for final product quality control, but productivity deteriorates due to inability to enable timely intervention
Solution Approach 1:
The patent performs substrate integrity measurements preliminarily during the processing sequence rather than after completion. This preliminary action enables real-time quality assessment and timely intervention capabilities, allowing defective substrates to be identified and removed before full processing, thereby maintaining productivity while ensuring final quality.
Solution Approach 2:
The patent implements a feedback mechanism where in-situ optical measurement results are fed back to the processing system in real-time. This feedback enables dynamic adjustment of processing parameters or substrate handling decisions based on detected defect information, optimizing both quality control and manufacturing throughput by preventing further processing of defective substrates.
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
Enables rapid and cost-effective detection of substrate defects, allowing for timely intervention and reducing processing delays, thereby saving time and resources in semiconductor manufacturing.
Implementation Method 1
a transducer configured to convert one or more frequencies from an electrical signal into at least one mechanical pulse
Implementation Method 2
A plurality of sensors positioned distal to the transducer and configured to be coupled, acoustically or mechanically, to the substrate. The plurality of distal sensors is further configured to detect both the mechanical pulse and any distortions to the pulse
Data Source
AI summary
In various exemplary embodiments described herein, a system and associated method relate to non-destructive signal propagation to detect one or more defects in a substrate. The system can be built into a semiconductor process tool such as a substrate handling mechanism. The system comprises a transducer configured to convert one or more frequencies from an electrical signal into at least one mechanical pulse. The mechanical pulse is coupled to the substrate through the substrate handling mechanism. A plurality of sensors is positioned distal to the transducer and configured to be coupled, acoustically or mechanically, to the substrate. The plurality of distal sensors is further configured to detect both the mechanical pulse and any distortions to the pulse. A signal analyzer is coupled to the plurality of distal sensors to compare the detected pulse and any distortions to the pulse with a baseline response.