Thermal Response Monitoring for Component Surface Buildup
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Solution Overview
Problem
The emissivity of system components in thermal systems, such as semiconductor processing chambers, changes over time due to deposition and scale buildup, leading to unexpected downtime and inefficient maintenance schedules.
Innovation Solution
A monitoring system that uses a controller with processors to provide thermal energy to components, determine thermal responses, and predict surface conditions based on thermal characteristics using a predictive analytic model, correlating thermal data to estimated surface conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If preventive maintenance is scheduled based on expected rate of change, then system downtime is reduced, but maintenance may be performed too late or too early due to lack of actual condition data
Solution Approach 1:
The system implements continuous monitoring of thermal characteristics (emissivity, thermal conductivity) and uses this feedback to dynamically adjust maintenance scheduling. Sensors detect real-time changes in component thermal properties, and this information feeds back to the control system to determine when maintenance is actually needed, rather than following a predetermined schedule.
Solution Approach 2:
The patent replaces mechanical inspection methods and time-based maintenance scheduling with thermal field-based detection and predictive analytics. By measuring thermal characteristics and using machine learning models to predict surface conditions, the system substitutes traditional mechanical monitoring approaches with non-contact thermal sensing and data-driven predictions.
2Measurement precision
If thermal energy is increased to improve detection sensitivity, then measurement precision improves, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the intensity and duration of thermal energy input based on detection needs and component response. The control system varies thermal excitation levels adaptively, applying higher energy only when necessary for detecting subtle changes, and reducing energy input during stable periods, thereby optimizing the balance between detection precision and energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately detects and localizes material buildup, reducing maintenance costs and downtime by enabling proactive maintenance based on actual component conditions.
Implementation Method 1
controlling a heater to provide thermal energy to the component
Implementation Method 2
Emissivity of a material is its effectiveness in emitting energy as thermal radiation
Implementation Method 3
a gas convective coupling of the component
Data Source
AI summary
A system for monitoring a surface condition of a component includes a controller including one or more processors configured to execute instructions stored in a nontransitory computer-readable medium. The instructions include controlling a heater to provide thermal energy to the component, determining a thermal response of the component based on the thermal energy, determining a thermal characteristic of the component based on a reference thermal response and the thermal response, and predicting the surface condition of the component based on the thermal characteristic and a predictive analytic model, where the predictive analytic model correlates the thermal characteristic of the component to an estimated surface condition of the component.