AI Material Testing Machine for Consistent Grip Pressure

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Solution Overview

Problem

Conventional materials testing introduces errors due to variations in testing parameters, particularly pressure, which affects the accuracy of test results.

Innovation Solution

An automated artificial intelligence (AI) driven testing machine with a loading station, pick-and-place apparatus, and control system that uses AI grips with actuators and sensors to precisely control grip strength and transfer samples between stations, reducing human intervention and parameter variation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual loading and testing is performed by hand, then ease of operation is maintained, but measurement precision deteriorates due to variation in testing parameters

Engineering Contradiction:
Improvetest result accuracyVSAvoidmanual operation complexity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-measurement and self-adjustment through automated AI grips and sensors that determine optimal testing parameters without human intervention, eliminating manual operation while maintaining high measurement precision

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical operations are replaced with an automated control system that uses sensors, AI algorithms, and automated grips to perform testing, substituting human操作 with a coordinated mechanical and computational system

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

2Manufacturing precision

If pressure is applied to secure the material sample, then the material sample is held firmly, but manufacturing precision deteriorates due to variation in pressure applied

Engineering Contradiction:
Improvetesting parameter consistencyVSAvoidgrip strength
Core Design Contradiction:
Manufacturing precisionVSForce

Solution Approach 1:

The grip strength is made dynamic and adjustable rather than fixed, allowing the system to optimize the force applied based on real-time sensor feedback and AI determination of optimal parameters for each specific material sample

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Sensors provide real-time feedback on grip strength and sample position, allowing the control system to adjust and maintain optimal pressure consistently, eliminating variation in testing parameters while securing the sample firmly

Inventive Principle:
Principle #23Feedback

3Productivity

If automated pick-and-place apparatus is used, then productivity increases, but device complexity increases

Engineering Contradiction:
Improvetesting throughputVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Multiple functions (loading, positioning, gripping, and testing) are merged into an integrated automated system where the pick-and-place apparatus works in coordination with AI grips and sensors, consolidating operations to manage complexity while maintaining high productivity

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20210293836A1Method and system for an automated artificial intelligence (AI) testing machine
Publication Date: 2021.09.23 LABSCUBED INC
  • US20210293836A1 patent drawing
  • US20210293836A1 patent drawing
  • US20210293836A1 patent drawing

AI summary

The disclosure is directed at testing machine for material samples. The testing machine includes a loading station and a testing station along with a pick and place apparatus that moves the material sample being tested between the loading station and the testing station. A control system controls movement of the material sample. The control system also generates testing machine parameters along with testing parameters.