Waferless Chamber Conditioning for Thermal Stability Control
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Solution Overview
Problem
Conventional chamber conditioning techniques for semiconductor processing chambers are inefficient and resource-intensive, requiring the use of dummy substrates to achieve thermal stability, which wastes time and energy.
Innovation Solution
A machine learning-based process that automatically determines optimal chamber conditions by detecting peak and minimum temperatures, allowing the chamber to stabilize without cycling substrates, and replicates these conditions through controlled heating and cooling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If dummy substrates are cycled into and out of the chamber repeatedly to achieve thermal stability, then the chamber reaches a stable state, but the processing time increases significantly
Solution Approach 1:
The chamber uses itself as the heating object instead of requiring external dummy substrates. The chamber's own components (heater, susceptor, chamber walls) are heated directly to achieve thermal stability, eliminating the need to cycle dummy substrates in and out. This self-service approach maintains thermal stability while dramatically reducing processing time.
Solution Approach 2:
The dummy substrates are extracted/removed from the conditioning process entirely. Instead of using dummy substrates as a medium to transfer heat, the system directly heats the chamber components, removing the unnecessary step of inserting and removing dummy substrates while still achieving the same thermal stability goal.
2Temperature
If dummy substrates are heated and then discarded to condition the chamber, then the chamber reaches optimal temperature, but thermal energy is wasted
Solution Approach 1:
The chamber heats itself directly through its own heater element rather than transferring heat from dummy substrates. This eliminates the energy waste associated with heating dummy substrates that are subsequently discarded, as the thermal energy is applied directly to where it is needed - the chamber components themselves.
Solution Approach 2:
The dummy substrates are removed from the energy transfer chain. Instead of wasting energy heating dummy substrates that serve only as temporary heat carriers, the system extracts this unnecessary intermediate step and applies thermal energy directly to the chamber, improving energy efficiency.
3Stability of the object's composition
If dummy substrates are used to replicate processing conditions, then the chamber can be pre-heated, but the process becomes resource-intensive
Solution Approach 1:
The chamber conditions itself using its own components (heater, susceptor, chamber walls) as the heating medium rather than requiring external dummy substrates. This eliminates substrate consumption while maintaining the ability to replicate and stabilize processing conditions through direct heating of chamber components.
Solution Approach 2:
The chamber components serve multiple functions: they are both the processing environment and the objects being heated to achieve thermal stability. The susceptor and chamber walls universally serve as both the container for substrates and the medium for thermal conditioning, eliminating the need for separate dummy substrates.
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
Enables efficient and accurate chamber conditioning, reducing time and resource consumption by eliminating the need for dummy substrates and ensuring consistent thermal stability.
Implementation Method 1
heating the chamber until a detected temperature associated with the chamber reaches the high chamber temperature value
Implementation Method 2
allowing the chamber to cool until a corresponding detected temperature associated with the chamber reaches the low chamber temperature value
Implementation Method 3
one or more temperature measurement devices for measuring the temperature associated with the processing chamber
Data Source
AI summary
Methods and devices for automatically conditioning a processing chamber are disclosed herein. Embodiments include determining a high chamber temperature value and a low chamber temperature value based on measuring temperatures associated with the chamber, wherein: the high chamber temperature value is determined based on detecting a peak temperature value associated with the chamber during substrate processing; and the low chamber temperature value is determined based on detecting a minimum temperature value associated with the chamber during the substrate processing. Embodiments further include heating the chamber until a detected temperature associated with the chamber reaches the high chamber temperature value. Embodiments further include cooling the chamber until a corresponding detected temperature associated with the chamber reaches the low chamber temperature value.