Chiplet Bonding Pad Alignment with Planarity Error Compensation
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Solution Overview
Problem
Existing systems face challenges in accurately aligning bonding pads on chiplets due to variations in shape and planarity, which complicates the bonding process as the size of interconnect contacts decreases and density increases.
Innovation Solution
A method and system that utilize image-based alignment to measure deviations from planarity, estimate chiplet-position errors, and adjust the relative position of chiplets and substrates based on these errors, incorporating processors and sensors to enhance alignment accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image-based alignment is used to align bonding pads, then alignment speed and automation are improved, but alignment precision deteriorates due to shape variations and non-planarity of chiplet surfaces
Solution Approach 1:
The system performs preliminary actions by capturing images of the chiplet surface and calculating shape variations (e.g., curvature, warpage) before the alignment process. This pre-characterization of surface geometry allows the system to compensate for non-planarity during alignment, enabling both high speed and high precision by preparing correction data in advance
Solution Approach 2:
The system changes parameters by adjusting alignment calculations based on measured shape variations. Instead of assuming a flat surface, the system modifies the alignment transformation parameters to account for captured surface geometry, thereby maintaining precision while using automated image-based methods
2Productivity
If the size of interconnect contacts is reduced and density is increased, then device integration is improved, but alignment difficulty increases due to smaller tolerance margins
Solution Approach 1:
The system replaces mechanical alignment methods with optical/image-based alignment. By using imaging to detect bonding pad positions and calculate transformations, the system achieves sub-micron precision required for small interconnect contacts without relying on mechanical positioning, thereby reducing alignment difficulty despite smaller tolerance margins
Data Source
AI summary
Some devices, systems, and methods for aligning a chiplet to a substrate obtain an image of a region on a chiplet, measure a deviation from planarity of the region on the chiplet, estimate a chiplet-position error of the chiplet based at least on the image of the region and the deviation from planarity of the region, and adjust a relative position of the chiplet and a substrate based on the chiplet-position error.


