Machine Tool Acceleration Adjustment via Load Characteristic Identification
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Solution Overview
Problem
Current machine tool adjustment methods for high-speed and high-precision cutting are inefficient due to manual and time-consuming parameter adjustments based on workpiece weight, which affect speed and precision.
Innovation Solution
A method for load characteristic identification and acceleration adjustment that automatically calculates and optimizes acceleration parameters by estimating workpiece weight and iteratively adjusting elastic deformation and position errors to converge to a target error, using a combination of weight estimation, deformation calculation, and feedback control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual trial and error method is used to adjust machine tool parameters, then the machine tool can be adapted to different workpiece weights, but the adjustment process is time-consuming and reduces work efficiency
Solution Approach 1:
The machine tool system automatically identifies load characteristics and adjusts acceleration parameters without operator intervention. The control system performs self-testing, calculates elastic deformation, and optimizes motion parameters autonomously based on the workpiece weight detection, eliminating the need for manual trial-and-error adjustment
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the control unit detects workpiece weight, measures actual position deviations during motion, calculates elastic deformation of the transmission system, and iteratively adjusts acceleration parameters until the dynamic error converges to the target error, achieving automatic adaptation to different loads
2Manufacturing precision
If manual parameter adjustment is performed by operators, then the machine tool parameters can be optimized for high-speed and high-precision cutting, but the process requires repeated manual intervention and affects overall work efficiency
Solution Approach 1:
The system performs preliminary automatic identification of load characteristics and optimization of acceleration parameters before actual machining operations begin. The control unit conducts self-testing, detects workpiece weight, and pre-calculates optimal motion parameters, so that when machining starts, the parameters are already optimized without requiring time-consuming manual adjustment
Solution Approach 2:
The patent replaces the manual mechanical adjustment process with an automated electronic control system. The control unit uses electronic sensors to detect workpiece weight, electronic calculators to compute elastic deformation and optimal acceleration parameters, and electronic actuators to implement parameter changes, substituting the entire manual adjustment mechanism with an automated electronic system that achieves both precision and speed
Data Source
AI summary
A method of load characteristic identification and acceleration adjustment for a machine tool is provided. A first acceleration of a transmission system is set according to the weight of a workpiece, and the working platform and the workpiece are driven at the first acceleration. A first elastic deformation of the transmission system and an amount of first position error of the transmission system are calculated when transmission system is moved at the first acceleration. A dynamic error is calculated according to the first elastic deformation and the first position error. When the dynamic error is less than or greater than a target error, a second acceleration is set to the transmission system, and a second elastic deformation and a second position error are calculated when the transmission system moves at the second acceleration unit the dynamic error is converged to the target error.


