Processing Preview Diagram for Faster Parameter Selection
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Solution Overview
Problem
Users face difficulty in finding suitable processing parameters for processing devices, leading to low efficiency and accuracy due to the complexity of parameter adjustments, which often results in material waste and increased costs.
Innovation Solution
A processing method that utilizes a processing preview diagram to help users identify a target parameter-value set by displaying candidate parameter-value sets as preview patterns, allowing for quick selection and application on a workpiece.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually adjust processing parameters to find suitable values, then processing accuracy can be improved, but processing time increases and efficiency decreases
Solution Approach 1:
The system pre-calculates and stores optimal parameter combinations in a parameter database before actual processing. When a user needs to process a workpiece, the system directly retrieves pre-determined parameter values based on workpiece type, eliminating the need for manual parameter adjustment and trial-and-error during processing.
Solution Approach 2:
The system automatically determines processing parameters by querying the parameter database using workpiece information as input. The parameter determination is performed autonomously without requiring user expertise or manual adjustment, allowing the system to serve itself in selecting optimal parameters.
2Manufacturing precision
If users manually adjust processing parameters, then processing accuracy can be improved, but operation complexity increases
Solution Approach 1:
The system automatically determines processing parameters by querying the parameter database using workpiece information as input. The parameter determination is performed autonomously without requiring user expertise or manual adjustment, allowing the system to serve itself in selecting optimal parameters.
Solution Approach 2:
The system uses a parameter database that stores copied optimal parameter combinations from previous successful processing operations. These pre-captured parameter sets are reused for similar workpieces, eliminating the need for users to manually determine parameters each time.
3Manufacturing precision
If multiple parameter combinations are tested to find optimal values, then processing accuracy improves, but material waste increases
Solution Approach 1:
The system pre-calculates and stores optimal parameter combinations in a parameter database before actual processing. When a user needs to process a workpiece, the system directly retrieves pre-determined parameter values based on workpiece type, eliminating the need for parameter trial-and-error that would consume additional material.
4Manufacturing precision
If users manually determine processing parameters, then processing accuracy can be improved, but productivity decreases
Solution Approach 1:
The system automatically determines processing parameters by querying the parameter database using workpiece information as input. The parameter determination is performed autonomously without requiring user expertise or manual adjustment, allowing the system to serve itself in selecting optimal parameters.
Solution Approach 2:
The system uses a parameter database that stores copied optimal parameter combinations from previous successful processing operations. These pre-captured parameter sets are reused for similar workpieces, eliminating the need for users to manually determine parameters each time.
Data Source
AI summary
A processing method, a processing system, and storage medium thereof are provided. The processing method includes obtaining processing factor information. The processing method also includes obtaining and displaying a processing preview diagram based on the processing factor information. The processing preview diagram includes one or more preview patterns corresponding to one or more candidate parameter-value sets, respectively. The processing method further includes, in response to a selection operation performed on the processing preview diagram, determining a candidate parameter-value set corresponding to the selection operation to be a target parameter-value set. The processing method further includes controlling a processing device to process a target workpiece based on the target parameter-value set.


