Wafer Near-Edge Roundness Control for Smooth Bevel Transitions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The transition from the semiconductor wafer top surface to the bevel affects device yield due to lithography process issues, in-process layers peeling, and edge flake defects, necessitating a smooth transition to improve yield.
Innovation Solution
Determine near edge region (NER) roundness parameters such as radius and theta angle using a computer device to analyze wafer edge profiles, adjust processing tools, and implement early detection and correction of anomalies in front-end tools to ensure smooth transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional wafer inspection methods are used, then general wafer quality is maintained, but near edge region defects such as lithography process issues, layer peeling, and edge flake defects occur due to insufficient transition smoothness
Solution Approach 1:
The patent replaces conventional mechanical contact-based roundness measurement systems with a non-contact optical scanning system. The optical scanner uses light to capture wafer edge profiles and calculate NER parameters, eliminating mechanical contact that could damage the wafer or introduce measurement errors in the delicate near edge region.
Solution Approach 2:
The patent introduces new measurement parameters (NER radius and theta angle) that specifically characterize the near edge region transition geometry. These parameters enable precise quantification and control of the transition smoothness from top surface to bevel, allowing optimization of this critical region that was previously difficult to measure and control.
2Reliability
If early detection and correction of tool anomalies are implemented, then device yield is improved, but processing time and complexity increase
Solution Approach 1:
The patent performs NER parameter measurement and tool anomaly detection early in the manufacturing process, before wafers undergo subsequent processing steps. This preliminary detection allows for early correction of tool issues, preventing defect propagation through the manufacturing process and reducing overall processing time by avoiding rework later.
Solution Approach 2:
The patent implements a feedback mechanism where NER parameter measurements are continuously monitored and used to detect tool anomalies. When deviations are detected, the system provides feedback to adjust tool parameters or alert operators, enabling real-time correction that maintains high device yield without requiring complete process shutdowns.
Data Source
AI summary
A computer device for analyzing a processed product includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: a) receive scan data of a first inspection of a first product being assembled after the first product has been processed by a tool; b) determine an edge profile for the product based upon the scan data; c) determine a center point for the edge profile; d) generate a best fit circle based upon the edge profile and the center point; e) calculate a NER radius for the first product based upon the best fit circle; and f) adjust operation of the tool based upon the NER radius.


