Intelligent Processing Modulation for Yield Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated processing systems face challenges in reducing defective product production due to incorrect processing parameters, leading to increased labor and time costs in manual adjustments and restarts.
Innovation Solution
An intelligent processing modulation system comprising processing equipment, detectors, data storage, databases, and a processing information manager that detects equipment wear and environmental conditions, records material specifications, and adjusts processing parameters to minimize defects and improve yield rates by analyzing defect conditions and modifying processing models in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated processing systems are used to increase productivity, then manufacturing output improves, but defective products are repeatedly produced due to incorrect processing parameters
Solution Approach 1:
The system implements a feedback mechanism where detection results about product defects are fed back to the processing information manager, which automatically adjusts processing parameters to prevent repeated production of defective products while maintaining high productivity
Solution Approach 2:
The processing system performs self-adjustment through automatic parameter modification based on detected defect conditions, eliminating the need for manual intervention and enabling continuous self-optimization of processing parameters
2Reliability
If a database and stop system is implemented to avoid massive manufacture of defective products, then yield rate improves, but labor and time costs increase due to manual parameter setting and equipment restart
Solution Approach 1:
The system automatically modifies processing parameters and resumes operation without manual intervention, eliminating the time-consuming manual parameter setting and equipment restart processes while maintaining improved yield rates
Solution Approach 2:
The system pre-preares alternative processing parameters in the database that can be quickly deployed when defects are detected, avoiding the need for manual parameter setting and reducing downtime
3Manufacturing precision
If processing parameters are manually adjusted by engineers and operators, then product quality can be improved, but labor costs and operational complexity increase
Solution Approach 1:
The processing information manager automatically selects and applies appropriate processing parameters from the database based on detected defect conditions, eliminating the need for manual parameter adjustment by engineers and operators while maintaining high product quality
Solution Approach 2:
The system replaces manual mechanical adjustment operations with automated electronic parameter modification, substituting human labor with an automated control system that maintains precision while simplifying operation
Data Source
AI summary
An intelligent processing modulation system comprises: a detector detecting the condition of the processing equipment before the process for processing a raw material into a product begins; a data storage recording the information of the product; a basic database storing the information of the detector and the data storage corresponding to the product and the condition of the product for each time the process is completed; a mode database receiving the information of the detector, the data storage and the basic database and setting up the processing model; a processing equipment operating according to the parameters of the processing model received by the processing information manager; a processing information manager modifying the processing model promptly according to the result of the product in order to improve the yield rate of the product.