Machining Time Prediction via Shape Group Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing machining time prediction methods for wire discharge machining are inaccurate due to varying machining speeds caused by different workpiece thicknesses and shapes, leading to errors in predicting machining times, which complicates work cost estimation and machining plan management.
Innovation Solution
A machining time prediction device that classifies machining paths into shape groups based on their characteristics, calculates predicted machining times using a predicted machining speed table, and updates average machining speeds to provide accurate predictions for both total and remaining machining times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single predicted machining speed is used for all machining paths, then the prediction method is simple, but the prediction accuracy deteriorates due to varying machining speeds caused by different workpiece thicknesses and shapes
Solution Approach 1:
The machining path is divided into multiple segments based on shape characteristics (straight lines, arcs, corners). Each segment is assigned a specific predicted machining speed from a speed table corresponding to its shape type, allowing accurate prediction while maintaining systematic simplicity
Solution Approach 2:
Different predicted machining speeds are assigned to different portions of the machining path based on local shape characteristics. Straight line segments, arc segments, and corner segments each have their own speed values, reflecting the local machining conditions rather than using a uniform speed
2Adaptability or versatility
If average machining speed is calculated from completed path length and execution time, then the method adapts to actual machining conditions, but large errors occur when high-speed and low-speed shapes are concentrated in different halves of the machining path
Solution Approach 1:
The machining path is segmented by shape type (straight lines, arcs, corners), and the total machining time is calculated by summing the time for each segment type. This segmented approach prevents the averaging error that occurs when high-speed and low-speed segments are mixed in a single average calculation
Solution Approach 2:
Predicted machining speeds for different shape segments are predetermined and stored in a speed table before machining begins. This preliminary preparation allows accurate time prediction without relying on post-machining average speed calculations that are susceptible to distribution biases
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Provided is a machining time prediction device including a predicted machining speed table where predicted machining speeds are registered in association with shape groups used for classification based on a shape of a machining path, a machining path generation unit generating machining path data including the machining path based on the program, a shape group determination unit determining which shape groups partial machining paths belong to, a path length addition unit adding and summarizing path lengths of the partial machining paths for the respective shape groups, a predicted machining time calculation unit calculating predicted machining times of the respective shape groups on the basis of a predicted machining speed table and the path lengths of the respective shape groups, a predicted machining time summation unit calculating a predicted machining time of the machining path by adding the predicted machining times of the respective shape groups, and a display unit displaying the predicted machining time of the machining path.