Digital Twin Chamber Control for Drift-Prone Substrate Processing

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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 that represents the physical twin chamber, allowing for real-time monitoring and control of substrate manufacturing processes. The digital twin 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

VSEngineering Contradiction Analysis

1Manufacturing precision

If control systems are used to monitor and control chamber processes, then manufacturing precision is improved, but loss of time increases due to delay between anomaly detection and corrective action

Engineering Contradiction:
Improveprocess accuracyVSAvoidresponse time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

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 monitoring and responding to the physical system directly. The digital twin receives data from sensors in the physical chamber and generates control instructions that are immediately applicable, eliminating the time lag between anomaly detection and corrective action while maintaining manufacturing precision.

Inventive Principle:
Principle #26Copying

2Reliability

If comprehensive monitoring of chamber processes is implemented, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improvesystem reliabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The digital twin serves as an intermediary between the physical chamber and the control system. Instead of directly monitoring and managing the complexity of thousands of physical components and electro-mechanical subsystems, the system interacts with the digital twin, which abstracts and simplifies the data representation. This intermediary layer handles the complexity of comprehensive monitoring internally while presenting a simplified interface for control decisions, thereby maintaining reliability without proportionally increasing observable system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If manual monitoring and correction of chamber anomalies is performed, then manufacturing precision is maintained, but productivity decreases due to labor-intensive operations

Engineering Contradiction:
Improveprocess accuracyVSAvoidoperational efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The digital twin system enables self-service automation where the virtual model autonomously monitors chamber parameters, detects anomalies, generates corrective control instructions, and transmits them back to the physical chamber without human intervention. This automated closed-loop system maintains manufacturing precision through continuous monitoring and adjustment while dramatically improving productivity by eliminating labor-intensive manual monitoring and correction operations. The system serves itself by using its own digital representation to make and execute control decisions.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250085699A1Substrate manufacturing equipment comprehensive digital twin fleet
Publication Date: 2025.03.13 APPLIED MATERIALS INC
  • US20250085699A1 patent drawing
  • US20250085699A1 patent drawing
  • US20250085699A1 patent drawing

AI summary

A method, apparatus, and system for controlling a physical twin chamber configured to process substrates are described herein. In some embodiments, a method comprises determining, by a digital twin device, characteristics of a physical twin chamber and generating control inputs for controlling the physical twin chamber. The digital twin device comprises one or more computational models for determining the characteristics of the physical twin and for generating the control inputs. The digital twin device determines a first data set associated with the physical twin chamber. The first data set comprises process data collected by sensors configured to measure attributes of the physical twin chamber. Based on the first data, the digital twin device automatically generates a second data set based on the generated control inputs and transmits the second data set to the physical twin chamber for controlling the process performed on the substrates by the physical twin chamber.