Machine Tool Parameter Correction for Workpiece Tolerance Drift
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Solution Overview
Problem
Current manufacturing processes require highly qualified personnel to manually correct tool parameters on machine tools, leading to time-consuming and costly trial-and-error methods, and are inefficient in automatically maintaining workpieces within specified tolerance limits.
Innovation Solution
A method for automatically correcting tool parameters of machine tools by recording and comparing measurement values of workpieces with set values, calculating an average or weighted tool correction value, and applying it to ensure all characteristics and parameters are within tolerance limits, allowing for continuous drift correction and visual monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual correction of tool parameters is performed by highly qualified personnel, then manufacturing precision can be maintained, but productivity decreases and loss of time increases
Solution Approach 1:
The machine tool system performs self-diagnosis and self-correction by automatically measuring workpiece characteristics, comparing them with nominal values, calculating correction values, and adjusting tool parameters without human intervention. The control device enables the system to service itself by detecting deviations and applying corrections autonomously.
Solution Approach 2:
A closed-loop feedback system is established where measurement values of workpiece characteristics are continuously fed back to the control device, which compares them with nominal values and automatically adjusts tool parameters based on the detected deviations, ensuring continuous compliance with tolerance limits.
2Manufacturing precision
If manual trial-and-error method is used to correct tool parameters, then manufacturing precision can be improved, but loss of time increases and productivity decreases
Solution Approach 1:
The system performs preliminary measurement and calculation of correction values before actual production continues. By measuring workpiece characteristics and pre-calculating the optimal correction values, the system avoids time-consuming trial-and-error adjustments during production runs.
Solution Approach 2:
The manual mechanical adjustment process is replaced with an automated electronic control system that uses measurement data and algorithms to calculate and apply correction values, eliminating the need for human operators to physically adjust tool parameters through trial and error.
3Manufacturing precision
If highly qualified personnel are required for parameter correction, then manufacturing precision can be maintained, but device complexity increases
Solution Approach 1:
The system performs self-diagnosis and self-correction by automatically measuring workpiece characteristics, comparing them with nominal values, calculating correction values, and adjusting tool parameters without human intervention. The control device enables the system to service itself by detecting deviations and applying corrections autonomously.
4Productivity
If automated measurement and correction system is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The control device serves multiple functions: it controls the machine tool operation, receives and processes measurement values, compares them with nominal values, calculates correction values, and executes parameter adjustments. This multi-functionality reduces the need for separate dedicated components for each function.
Solution Approach 2:
The measurement system, evaluation system, and control system are merged into an integrated automated correction system. The control device combines the functions of data reception, comparison, calculation, and execution, creating a unified system that improves productivity while managing complexity through functional integration.
Data Source
AI summary
A method for correcting tool parameters of a machine tool for machining workpieces includes recording measurement values of measured characteristics as actual values of at least one workpiece machined with the machine tool. The measurement values are compared with the default set values of the workpiece. The measurement values of at least two measured characteristics are recorded from at least two parameters of at least one measured characteristic and/or from at least one measured characteristic and from at least one parameter. An average for a tool correction value is calculated from the measurement values and the corresponding set values, with which a correction of the machine tool is performed.