Multi-Chamber Digital Twin Control for Substrate Process Drift
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Solution Overview
Problem
Substrate manufacturing processes in physical chambers are challenging to control and manage due to transient responses and drift in physical attributes over time, leading to inaccuracies and inefficiencies in substrate processing.
Innovation Solution
A digital twin device is used to create a computational model of a physical twin chamber, allowing for real-time monitoring and control of substrate manufacturing processes. This device receives data from sensors and probes, generates control inputs, and transmits them back to the physical chamber to maintain process accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional control systems are used to monitor and control chamber processes, then basic monitoring functionality is provided, but the delay between anomaly detection and corrective action is unacceptable and labor-intensive corrections are required
Solution Approach 1:
The patent creates a digital twin - a virtual copy of the physical chamber that mirrors its behavior and state in real-time. This digital replica allows for instantaneous analysis and control decisions without the delays inherent in conventional monitoring systems, as the digital model can be processed and analyzed immediately without physical constraints
Solution Approach 2:
The patent replaces manual, labor-intensive correction processes with automated control systems that use the digital twin data. The system automatically generates and implements corrective actions based on digital twin analysis, eliminating the need for human operators to physically intervene in the chamber, thus reducing both time and labor requirements
2Measurement precision
If comprehensive monitoring of chamber processes is implemented, then process accuracy can be maintained, but the monitoring becomes time-consuming and complex
Solution Approach 1:
The digital twin serves multiple functions simultaneously: it monitors chamber state, predicts process outcomes, identifies anomalies, and generates control recommendations. This multi-functional approach consolidates what would otherwise require multiple separate monitoring and analysis systems into a single unified platform, reducing overall system complexity while maintaining comprehensive monitoring capabilities
Solution Approach 2:
The digital twin acts as an intermediary layer between the physical chamber and the control system. Instead of directly complex monitoring of the physical chamber, the system monitors the simplified digital representation, which mediates the complexity by providing a more manageable model for analysis and control decisions
Data Source
AI summary
A method, apparatus, and system for controlling a multi-chamber process system for substrate processing are described herein. In some embodiments, a method comprises determining, by each digital twin device, of a plurality of digital twin devices, a first data set associated with at least one process chamber of a plurality of chamber processes, and the corresponding processes for processing a plurality of substrates. Each digital twin device comprises one or more computational models. The first data set comprises measurements reported by probes or sensors within the at least one chamber process, or data collected and reported by internal sensors of the digital twin device. The method further automatically generating, by each digital twin device a second data set based on, at least in part, the first data set, and by executing one or more computational models of the digital twin device.