Die Parameter Debugging Using Correlational Impact Analysis

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Solution Overview

Problem

Conventional die system parameter debugging is inefficient and resource-intensive, often leading to waste and difficulty in determining reasonable parameter settings.

Innovation Solution

A method and device for die system parameter debugging that involves acquiring measured values, determining deviations and correlational impacts of key parameters, selecting a target parameter for adjustment, and optimizing parameters based on theoretical values to improve efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If parameters are debugged slowly step by step to reach a balance point, then production stability is achieved, but debugging time and resource consumption increase significantly

Engineering Contradiction:

Improveproduction stabilityVSAvoiddebugging time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements a feedback mechanism where the system automatically monitors parameter deviations from theoretical values and adjusts parameters based on measured impacts on production stability. This closed-loop feedback system eliminates the need for slow manual step-by-step debugging by continuously measuring parameter effects and making automated adjustments to reach the optimal balance point.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces the manual mechanical debugging process with an automated computational system. Instead of manually adjusting parameters one by one, the system uses computer-based calculations to determine parameter impacts, compute optimal values, and automatically implement adjustments, thereby substituting human-operated mechanical debugging with automated computational control.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If parameters are debugged slowly step by step to reach a balance point, then production stability is achieved, but resource waste increases

Engineering Contradiction:

Improveproduction stabilityVSAvoidresource consumption

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The feedback mechanism enables the system to identify and adjust only the specific parameters that have significant impacts on production stability, rather than manually testing all parameters. This targeted approach reduces waste of raw materials, energy, and other resources by eliminating unnecessary trial-and-error adjustments.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary calculations to determine the impact of each parameter on production stability before actual debugging begins. By pre-identifying which parameters need adjustment and by how much, the system avoids unnecessary resource consumption during the debugging process itself.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If conventional debugging methods are used, then parameters can be adjusted, but it is difficult to determine whether the parameters are reasonable

Engineering Contradiction:

Improveparameter adjustmentVSAvoidparameter合理性 information

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system provides continuous feedback on parameter deviations from theoretical values and their impacts on production stability. This information feedback enables operators to determine whether parameters are reasonable by comparing measured values against calculated optimal values and understanding the specific impact of each parameter on production outcomes.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces subjective human judgment about parameter reasonableness with objective computational analysis. The system uses computer-based models to calculate theoretical parameter values and assess their impacts, providing quantifiable information that eliminates uncertainty about whether parameters are appropriate.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260104691A1Die system, parameter debugging method and device

Publication Date: 2026.04.16 SAIC GM WULING AUTOMOBILE CO LTD

AI summary

Provided is a die system, and a parameter debugging method and device. The method includes: acquiring measured values of a plurality of key parameters of the die system; determining deviations between the measured values and theoretical values of the plurality of key parameters; determining, according to the deviations of the plurality of key parameters, correlational impact values of the plurality of key parameters on stable production; determining, according to the correlational impact values, whether to trigger parameter debugging on the die system; selecting, in response to a determination to trigger parameter debugging on the die system, a target key parameter from the plurality of key parameters; and performing parameter debugging on the target key parameter. According to embodiments of the present disclosure, parameters can be debugged according to impacts of superimposition of the key parameters on stable production, which provides a reasonable basis for parameter debugging and improves debugging efficiency.