Machine Tool Control Using Acoustic Feedback for Quality Stability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing machine tools face issues with inconsistent processing quality due to machine fatigue and operator's inability to adjust parameters in real time, leading to uneven product quality and potential scrapping of entire batches.
Innovation Solution
A control system and method that includes an electronic device with input, correction, and calculation units to predict processing quality, adjust tool position, and compensate for non-parallel conditions using sensors and mechanisms for automatic centering and multi-angle variability, ensuring consistent processing quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If operator adjusts parameters based on experience and sample roughness, then processing can be performed, but processing quality becomes uneven due to machine fatigue and inability to detect force changes in real time
Solution Approach 1:
The system employs acoustic emission sensors to detect force changes during grinding in real time, creating a feedback loop that continuously monitors processing conditions. The sensor signals are transmitted to a control system that automatically adjusts grinding parameters based on detected force variations, eliminating the delay and inaccuracy of manual operator adjustment based on sample inspection.
Solution Approach 2:
The patent replaces the manual mechanical adjustment system with an automated electronic control system. Instead of operators physically adjusting parameters based on experience, the system uses acoustic emission detection combined with electronic control to automatically modify grinding parameters, substituting human judgment with sensor-based detection and automated response.
2Manufacturing precision
If manual parameter adjustment is used, then device complexity is low, but processing quality stability deteriorates due to machine fatigue and operator limitations
Solution Approach 1:
The control system continuously receives acoustic emission sensor signals during grinding operations and automatically adjusts parameters in real time. This closed-loop feedback mechanism maintains processing quality stability by compensating for machine fatigue effects without requiring complex manual intervention systems.
Solution Approach 2:
The system performs self-adjustment by automatically detecting force changes through acoustic emission sensors and modifying grinding parameters without operator intervention. The control system serves itself by using its own sensor data to make real-time parameter adjustments, eliminating the need for external manual adjustment mechanisms.
3Difficulty of detecting and measuring
If no real-time detection system is used, then device complexity is low, but ability to detect and measure force changes deteriorates, leading to uneven product quality
Solution Approach 1:
The patent replaces direct mechanical force measurement with acoustic emission detection. Instead of using complex mechanical sensors to measure force changes, the system detects the acoustic signals generated by force variations during grinding, providing indirect but effective force change detection with simpler sensor technology.
Solution Approach 2:
The acoustic emission sensor acts as an intermediary between the grinding process and the control system. Rather than directly measuring force, the sensor detects acoustic signals that represent force changes, transmitting this information to the control system which then adjusts parameters accordingly. This intermediary approach simplifies the detection mechanism while maintaining measurement capability.
Data Source
AI summary
The present disclosure provides a control system for controlling a processing equipment, and a control method thereof comprises: transmitting a processing signal to a processing unit via an input unit when the processing equipment generates the processing signal for processing a workpiece, so that the processing unit predicts a processing quality of the workpiece according to the processing signal and provides the processing quality as a reference information; and transmitting the reference information to a calculation unit when the processing quality of the workpiece does not meet a requirement, so as to calculate a compensation parameter to automatically adjust a working state of the processing equipment on the workpiece.


