Machining Data Feedback Loop for Quality-Conforming Process Parameters
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Solution Overview
Problem
The challenge in manufacturing is to reduce material consumption while ensuring the quality of processed products meets quality requirements, which is not effectively addressed by existing digital twin technologies.
Innovation Solution
A machining data processing system and method that includes a data design system to determine a target machine tool and initial process parameters, a monitoring system to adjust parameters based on process data, and a quality inspection system to update parameters based on inspection results, facilitating smoother and more quality-conforming production processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If digital twin technology is applied to simulate and optimize machining processes, then manufacturing precision and quality conformity can be improved, but device complexity increases due to the need for data design systems, monitoring systems, and quality inspection systems
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the physical machining system including the machine tool, process parameters, and quality inspection data. This digital model allows simulation and optimization without physical experimentation, improving quality conformity while the virtual nature reduces the need for additional physical equipment complexity
Solution Approach 2:
The data design system integrates multiple functions including process parameter management, quality standard definition, and data coordination across different systems. The monitoring system simultaneously tracks both machining process data and quality inspection data, reducing the need for separate specialized systems and lowering overall device complexity
2Loss of substance
If traditional machining processes are used without real-time monitoring and adjustment, then device complexity remains low, but material consumption increases due to higher scrap rates and quality rework
Solution Approach 1:
The patent implements a closed-loop feedback system where quality inspection results are fed back to the data design system, which then adjusts process parameters in the digital twin. These adjusted parameters are applied to the physical machining process, creating continuous improvement that reduces defects and material waste while the automated feedback mechanism manages the complexity burden
Solution Approach 2:
The data design system pre-establishes quality standards, process parameters, and inspection criteria before machining begins. The digital twin simulates and optimizes processes in advance, identifying potential quality issues before physical production starts, thereby reducing material consumption through preventive optimization rather than corrective rework
Data Source
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AI summary
The application provides a machining data processing system and a machining data processing method. The machining data processing system includes: a data design system, a monitoring system and a quality inspection system, the data design system configured to determine a target machine tool and initial process parameters corresponding to a test project according to a quality requirements of the test project; the monitoring system configured to receive machining process data and machining target data, to generate process adjustment parameters based on the machining process data and the machining target data, a quality inspection system configured to receive quality inspection result of the machine product, and determine whether to transmit the process adjustment parameters to the data design system based on the product quality inspection result, to update the process parameters in the machining process parameter library in the data design system. This facilitates the refinement of process parameters in the data design system, ensuring smoother subsequent invocation of these parameters for machining processes, and improving the quality of finished products to better align with quality requirements.