Wafer Transport Blade Feedback Control for Alignment and Temperature

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Solution Overview

Problem

The semiconductor manufacturing process requires improved process control for handling and transportation of wafers, particularly in maintaining precise temperature and positional alignment, which existing technologies have not adequately addressed as semiconductor nodes advance.

Innovation Solution

An electric front end machine (EFEM) with a movable blade equipped with temperature and positional sensors, coupled to a machine learning model, adjusts processes based on detected data to optimize wafer handling and transportation by associating sensor data with yield metrics, thereby improving alignment and temperature control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional wafer transport methods are used, then device complexity is reduced, but manufacturing precision deteriorates due to inadequate temperature and positional control

Engineering Contradiction:
Improvewafer alignment precisionVSAvoidtransport system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements feedback control by using sensors to detect wafer position and temperature during transport, then adjusting the movable blade's position and heating elements' output based on this detected data. This closed-loop feedback system maintains manufacturing precision without requiring overly complex mechanical structures, as corrections are made dynamically during the transport process.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent replaces complex mechanical alignment mechanisms with a combination of movable blade positioning and real-time sensor detection. Instead of using intricate mechanical adjustment systems to maintain precision, the invention uses detectable parameters (position, temperature) and adjusts them during transport, substituting mechanical complexity with controllable physical parameters.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If traditional wafer transport methods are used, then device complexity is reduced, but temperature control precision deteriorates

Engineering Contradiction:
Improvetemperature control precisionVSAvoidtransport system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent uses temperature sensors to continuously monitor wafer temperature during transport and provides feedback to control heating elements. This feedback mechanism allows dynamic adjustment of temperature control without requiring complex thermal insulation systems or multiple heating zones, thereby improving temperature control precision while limiting device complexity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent controls temperature by adjusting the heating parameters (power, duration, positioning) during the transport process rather than relying on complex thermal management infrastructure. By changing operational parameters dynamically based on sensor feedback, the system achieves precise temperature control with a relatively simple device structure.

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If sensor detection and machine learning adjustment are implemented, then manufacturing precision is improved, but device complexity increases

Engineering Contradiction:
Improveprocess control precisionVSAvoidcontrol system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements feedback control by using sensors to detect wafer position and temperature during transport, then adjusting the movable blade's position and heating elements' output based on this detected data. This closed-loop feedback system maintains manufacturing precision without requiring overly complex mechanical structures, as corrections are made dynamically during the transport process.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system uses machine learning models to automatically analyze sensor data and adjust transport parameters without human intervention. The self-service capability allows the system to optimize its own operation based on detected patterns, improving precision while keeping the control system architecture relatively simple by automating decision-making rather than requiring complex manual control mechanisms.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20240258142A1Systems and methods for semiconductor wafer transport
Publication Date: 2024.08.01 TAIWAN SEMICONDUCTOR MANUFACTURING CO LTD
  • US20240258142A1 patent drawing
  • US20240258142A1 patent drawing
  • US20240258142A1 patent drawing

AI summary

A device includes a movable blade having a first surface to receive a semiconductor wafer. The device can include a positional sensor to detect a position of the semiconductor wafer on a surface of the movable blade, relative to a stationary body. The movable blade can be configured to move relative to the stationary body to cause a displacement of the semiconductor wafer relative to the movable blade. The positional sensor can be coupled to the movable blade.