AI Imaging Tool Layout for Dense Cleanspace Replacement

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Solution Overview

Problem

Existing cleanroom designs face challenges with increased tool density, making it difficult to install, maintain, and replace processing tools, leading to higher costs and complexities in maintaining cleanliness and tool placement.

Innovation Solution

The implementation of a substrate processing system with parallel electron beam or chemical species beam imaging elements, allowing for easier tool placement and removal by rearranging the cleanroom into a cleanspace with vertical and horizontal tool placement, and using automated equipment for substrate transfer within a cleanspace fabricator.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If tool density is increased to maintain economic advantages, then productivity is improved, but ease of operation deteriorates due to installation and maintenance difficulties

Engineering Contradiction:
Improvetool densityVSAvoidinstallation and maintenance difficulty
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The processing tool is divided into a fixed portion (base structure, cleaning system) and a removable portion (imaging system, processing chamber). This segmentation allows the removable portion to be easily detached and replaced without disrupting the entire tool or the cleanroom environment, thus maintaining high tool density while improving ease of maintenance and replacement.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The tool design incorporates dynamic replaceability, where the removable portion can be quickly exchanged during operation. This dynamic capability allows maintenance and upgrades without prolonged downtime, resolving the contradiction between high density (which normally reduces accessibility) and ease of operation (maintenance accessibility).

Inventive Principle:
Principle #15Dynamics

2Loss of substance

If tool density is increased to reduce cleanroom construction and maintenance costs, then loss of substance is reduced, but device complexity increases due to installation difficulties

Engineering Contradiction:
Improvecleanroom maintenance costVSAvoidinstallation complexity
Core Design Contradiction:
Loss of substanceVSDevice complexity

Solution Approach 1:

By segmenting the tool into fixed and removable portions, the system maintains compact high-density placement while simplifying installation procedures. The standardized removable modules can be pre-assembled and quickly installed, reducing the complexity associated with dense tool placement in the cleanroom environment.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The removable portion is designed to be pre-assembled and pre-tested outside the cleanroom, then installed as a complete module. This preliminary preparation reduces on-site installation complexity and minimizes disruption to the cleanroom environment, allowing high tool density without proportionally increasing installation complexity.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If conventional cleanroom design is used with dense tool placement, then productivity is improved, but ease of repair deteriorates due to difficulty in removing subassemblies

Engineering Contradiction:
Improvetool placement densityVSAvoidsubassembly replacement difficulty
Core Design Contradiction:
ProductivityVSEase of repair

Solution Approach 1:

The processing tool is divided into fixed and removable portions, with the removable portion containing the imaging system and processing chamber. This segmentation enables easy removal and replacement of the removable portion for repair or maintenance without affecting the fixed portion or requiring disruption of other tools in the dense cleanroom layout.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The removable portion is designed to be completely extracted from the fixed portion through a standardized interface. This extraction capability allows the removable portion to be taken out for repair, testing, or replacement without disturbing the surrounding tools or the cleanroom environment, thus maintaining high productivity while improving ease of repair.

Inventive Principle:
Principle #2Taking out (Extraction)

4Ease of operation

If tools are rearranged into cleanspace with vertical and horizontal placement, then ease of operation is improved, but device complexity increases due to automated equipment requirements

Engineering Contradiction:
Improvetool placement flexibilityVSAvoidautomated equipment complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The automated substrate transfer equipment is designed with universal interfaces that can accommodate multiple tool configurations (vertical and horizontal placement). This multi-functionality reduces the overall system complexity by using a single automated transfer system rather than requiring specialized equipment for each tool arrangement.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

This approach reduces installation difficulties, enhances tool replacement efficiency, and maintains economic advantages of dense tool placement, while minimizing disruption to job flow and reducing the costs associated with maintaining cleanliness.

Implementation Method 1

Massively parallel implements of electron beam or chemical species beam imaging elements

Methodology Applied
Scientific EffectElectron beam: Electron Beam

Data Source

PatentUS20240186104A1Method and apparatus for an imaging system
Publication Date: 2024.06.06 FLITSCH FREDERICK A
  • US20240186104A1 patent drawing
  • US20240186104A1 patent drawing
  • US20240186104A1 patent drawing

AI summary

The present invention provides apparatus for an imaging system including artificial intelligence algorithmic processing components. Imaging systems may include elements that emit electrons, photons or molecules in different examples. Artificial intelligence algorithms may be used to optimize operating parameters of the imaging systems through use of training databases and feedback of metrology obtained during processing.