Machine Tool Vibration Detection Using Optimal Rotation Speed
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Solution Overview
Problem
Conventional vibration detection methods for machine tools require specific sensors or multiple sensors to reduce ambient noise, which can be costly and complex.
Innovation Solution
A method using a microprocessor and a general-purpose vibration detector to calculate a target frequency range, detect ambient noise, and adjust the rotation speed of the machine tool's feed system to minimize noise, allowing for accurate vibration detection with a single detector.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a specific industrial vibration sensor resistant to noise is employed, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the operating parameters by selecting optimal rotation speeds from a predetermined set that minimize ambient noise interference. The microprocessor calculates a target frequency range based on maximum rotation speed, detects noise characteristics at different speeds, and identifies the speed producing the lowest noise amplitude. This parameter optimization allows standard sensors to achieve precision comparable to specialized sensors without the added complexity.
2Measurement precision
If multiple vibration detectors are placed at different locations, then measurement precision is improved through noise reduction, but device complexity and cost increase
Solution Approach 1:
The system performs preliminary noise characterization by detecting vibration signals at multiple predetermined rotation speeds before actual measurement. The microprocessor analyzes the noise amplitude at each speed, identifies the optimal speed with minimum noise, and stores this information for subsequent measurements. This preliminary action enables a single sensor to achieve the noise-rejection capability that would otherwise require multiple sensors positioned at different locations.
3Measurement precision
If multiple vibration detectors are used to obtain adjusted signals, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-characterization by automatically detecting its own noise profile at different rotation speeds and identifying its optimal operating condition. The microprocessor autonomously calculates the target frequency range, analyzes noise amplitudes, and determines the measurement frequency corresponding to minimum noise. This self-service capability eliminates the need for complex external calibration procedures or manual adjustment of multiple sensors, maintaining ease of operation while achieving high measurement precision.
4Measurement precision
If ambient noise is reduced through multiple sensors, then measurement precision is improved, but loss of time increases due to complex signal processing
Solution Approach 1:
The system performs preliminary noise characterization during setup or idle periods, storing the optimal rotation speed and corresponding measurement parameters for future use. When actual vibration measurement is required, the system simply operates at the pre-identified optimal speed, avoiding time-consuming real-time analysis of multiple sensor signals. This preliminary action separates the complex noise characterization process from the actual measurement process, maintaining precision while minimizing measurement time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables effective vibration detection with reduced noise interference, improving accuracy and cost-effectiveness by eliminating the need for specialized sensors or multiple detectors.
Implementation Method 1
detecting, by the vibration detector, vibration of the feed system
Data Source
AI summary
A method for performing vibration detection on a feed system of a machine tool is implemented by a detecting device, and includes: calculating a target frequency range associated with a rotation speed of the machine tool; detecting vibration of the feed system in a static state; calculating a smoothed signal according to detected result, the smoothed signal including a plurality of noise amplitude values distributed across the target frequency range; identifying a measurement frequency that corresponds with a smallest one of the noise amplitude values; calculating a suggested rotation speed based on the measurement frequency; and detecting vibration of the feed system rotating at the suggested rotation speed.