CNC Thread Turning Diagnosis Using Spindle-Feed Error Curves
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Solution Overview
Problem
Thread pitch errors during thread turning on machine tool equipment are difficult to diagnose and adjust efficiently, leading to suboptimal thread quality.
Innovation Solution
An automatic diagnosis method integrated into CNC machine tools that computes thread errors by comparing main shaft and feed shaft speeds, generating error curves to identify causes, and provides adjustments to machining parameters without requiring additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual diagnosis and adjustment methods are used for thread pitch errors, then the user can identify and resolve problems, but the diagnosis time is extended and the adjustment efficiency is reduced
Solution Approach 1:
The CNC control unit automatically performs thread error diagnosis by itself without requiring external manual intervention. The system acquires main shaft and feed shaft speeds, computes thread errors, generates error curves, and provides diagnostic results automatically, enabling the system to diagnose its own thread cutting faults efficiently
Solution Approach 2:
The patent replaces manual mechanical diagnosis methods with automated computational analysis. Instead of manual measurement and judgment, the system uses the CNC control unit to automatically acquire speed data, compute thread errors through algorithms, generate error curves, and provide diagnostic results, substituting human operations with automated computational processes
2Manufacturing precision
If manual adjustment of machining parameters is performed to correct thread pitch errors, then the thread quality can be improved, but the adjustment time and complexity increase
Solution Approach 1:
The system implements automatic feedback by acquiring actual shaft speeds, computing thread errors, generating error curves, and providing diagnostic results that indicate specific adjustment directions. This closed-loop feedback mechanism guides users to make precise adjustments to machining parameters based on automated analysis, reducing adjustment complexity while improving thread quality
Solution Approach 2:
The system performs preliminary diagnostic analysis before actual thread cutting adjustments are made. By pre-computing error curves and providing diagnostic results that identify specific problem causes, the system prepares adjustment guidance in advance, enabling users to make targeted parameter adjustments rather than trial-and-error modifications
3Difficulty of detecting and measuring
If additional hardware equipment is added to diagnose thread cutting faults, then the diagnosis capability is enhanced, but the system complexity and cost increase
Solution Approach 1:
The CNC control unit utilizes its own existing computational resources and data acquisition capabilities to perform thread error diagnosis without requiring external hardware additions. The system processes speed data from its own shaft encoders and control systems, computing thread errors and generating diagnostic results through software algorithms alone
Solution Approach 2:
The patent makes the CNC control unit multi-functional by enabling it to perform both its traditional machining control functions and thread error diagnosis functions using the same hardware resources. The control unit leverages its existing speed acquisition and computational capabilities to provide diagnostic services, eliminating the need for dedicated diagnostic hardware
Data Source
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AI summary
The present invention provides a turning thread automatic diagnosing method, comprising: a. collecting a spindle actual speed and a feeding shaft actual speed of a lathe; b. on the basis of the spindle actual speed and the feeding shaft actual speed, continuously calculating thread errors to obtain a thread error curve; and c. analyzing an error cause according to the thread error curve. In addition, the present invention further provides a turning thread automatic diagnosing system using the method, a data processing system, and a storage medium. The technology of the present invention can automatically identify the problem causing a thread error and provide a corresponding solution.