Machined Surface Estimation Using Multi-Parameter Machining Simulation
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Solution Overview
Problem
Existing methods for estimating the quality of a machined surface are inaccurate as they do not account for factors other than path error, leading to potential misjudgment of surface quality.
Innovation Solution
A machined surface estimation device that acquires tool and workpiece data, performs a machining simulation, calculates various machining information, and displays this information in combination with the simulated workpiece to provide a comprehensive assessment of surface quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only path error is displayed to estimate machined surface quality, then the display is simple and easy to understand, but the estimation accuracy is insufficient because other factors affecting surface quality are ignored
Solution Approach 1:
The patent segments the estimation of machined surface quality into multiple independent components: path error, cutting speed, acceleration, and jerk. Each parameter is calculated and displayed separately, allowing comprehensive assessment without overwhelming complexity. This segmentation enables accurate quality estimation by considering multiple factors while maintaining clear presentation.
Solution Approach 2:
The display device is designed to handle multiple types of machining information (path error, cutting speed, acceleration, jerk) through a unified interface. The system can display different parameter combinations based on machining conditions, making it universally applicable to various machining scenarios while maintaining consistent user interaction.
2Measurement precision
If multiple types of machining information are calculated and displayed, then the machined surface quality can be accurately estimated, but the information processing complexity increases
Solution Approach 1:
The patent extracts only the essential parameters (path error, cutting speed, acceleration, jerk) that directly affect machined surface quality from the complete machining data set. By selecting and displaying only these critical parameters, the system achieves accurate quality estimation without processing unnecessary information, thus reducing information processing overhead.
Solution Approach 2:
The system applies local quality by displaying different parameter combinations in different situations. For example, high-speed machining may emphasize vibration-related parameters like jerk and acceleration, while precision machining may focus on path error. This localized parameter selection optimizes information relevance for specific machining contexts.
Data Source
AI summary
A machined surface estimation device includes: an acquisition unit acquiring tool position data indicating the position of a tool, tool shape data indicating the shape of the tool, and workpiece shape data indicating the shape of a workpiece; a machining simulation unit executing a machining simulation for drawing the workpiece after machining on the basis of the tool position data, the tool shape data, and the acquired workpiece shape data; a machining information calculation unit calculating at least one type of machining information pertaining to the quality of the machined surface on the basis of the tool position data; a selection unit selecting one type of machining information from among the calculated at least one type of machining information; and a display unit displaying, in combination with the workpiece after machining, the selected one type of machining information.