Chamber Part Life Estimation Using Feature Metrology
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Solution Overview
Problem
Semiconductor processing chamber components wear out over time, leading to unpredictable performance and costly downtime, as there is no systematic way to estimate their remaining life, resulting in devices not meeting critical dimensions and inefficient maintenance practices.
Innovation Solution
Incorporating 3D data matrices with raised features on chamber components to track wear and estimate remaining life by measuring changes in these features during cleaning and refurbishment processes, allowing for improved part life prediction and maintenance scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If chamber components are replaced before they negatively impact production, then device quality is maintained, but downtime and maintenance costs increase
Solution Approach 1:
The patent applies preliminary action by reading the data matrix and evaluating wear on raised features before the chamber component negatively impacts production. The system proactively monitors wear indicators and predicts remaining life, allowing maintenance to be scheduled at the optimal time rather than replacing components too early (causing downtime) or too late (affecting quality).
Solution Approach 2:
The patent implements feedback by continuously monitoring the wear on raised features through data matrix evaluation. The system provides feedback on the condition of chamber components, enabling dynamic adjustment of maintenance schedules based on actual wear rates and usage conditions, thus optimizing the balance between quality maintenance and downtime reduction.
2Measurement precision
If chamber components are monitored systematically for wear, then remaining life can be estimated accurately, but system complexity increases
Solution Approach 1:
The patent applies self-service by incorporating the data matrix and raised features directly into the chamber component itself. The component monitors its own wear condition through the raised features that degrade with use, eliminating the need for external monitoring systems. This self-monitoring approach provides accurate remaining life estimation without significantly increasing overall system complexity.
Solution Approach 2:
The patent uses parameter changes by measuring the physical dimensions of raised features that change predictably with wear. The system tracks dimensional parameters of the raised features over time, and these parameter changes provide direct information about component degradation and remaining life, achieving precise measurement without complex instrumentation.
3Measurement precision
If raised features are used for wear tracking, then wear can be objectively measured, but manufacturing complexity increases
Solution Approach 1:
The patent merges the identification function (data matrix) with the wear tracking function (raised features) into a single integrated structure. The raised features serve dual purposes: they encode identification information and simultaneously provide measurable wear indicators. This merging eliminates the need for separate wear sensors or markers, reducing manufacturing complexity while maintaining measurement precision.
Solution Approach 2:
The raised features exhibit multi-functionality by serving as both identification markers and wear measurement references. The same structural elements that provide component identification also degrade predictably with wear, providing objective wear measurement capability. This universal design reduces the number of additional features needed, simplifying manufacturing while achieving precise wear tracking.
Data Source
AI summary
Certain embodiments provide a method and non-transitory computer readable medium having instructions that, when executed by a processor of a processing system, cause the processing system to perform a method for improving operation of a semiconductor processing system. The method of part life estimation generally includes obtaining a chamber part having a first surface portion and second surface portion. A data matrix in the first portion of the chamber part is read. The data matrix has raised features. The first portion of the chamber part is cleaned. Wear on the raised features is evaluated. The part is discarded in response to the wear on the raised feature.