Machining Feedrate Optimization via Tool Path Segmentation
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Solution Overview
Problem
Current NC milling simulation methods face challenges in accurately determining the engagement surface and feedrate due to complex tool paths and workpiece geometries, leading to inefficiencies in material removal rates and increased risk of tool wear and errors.
Innovation Solution
A method is developed to partition the tool path into segments with a substantially constant function of engagement, including engagement surface, area, and removed volume, allowing for optimized feedrate determination based on the tool-workpiece interaction, using distance fields and ray casting to ensure accurate and efficient machining.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the tool path is processed as a whole with uniform feedrate, then the programming is simple, but the machining accuracy and tool wear are compromised due to varying engagement conditions
Solution Approach 1:
The tool path is divided into multiple segments based on engagement function variations. Each segment is identified by comparing engagement functions at different points along the tool path, and feedrates are determined independently for each segment. This segmentation allows the system to maintain simplicity in programming while achieving high machining accuracy by adapting feedrates to local engagement conditions.
2Manufacturing precision
If the feedrate is optimized for each segment with varying engagement conditions, then the machining precision and tool life are improved, but the computational complexity increases
Solution Approach 1:
The engagement function is pre-calculated for the entire tool path before feedrate determination. By evaluating engagement functions at discrete points and identifying segments in advance, the system prepares all necessary geometric information beforehand. This preliminary action simplifies the subsequent feedrate optimization process, as the segmentation and engagement characteristics are already established, reducing computational complexity during actual feedrate calculation.
3Productivity
If high feedrates are used to increase productivity, then the material removal rate increases, but the tool wear and machining errors increase
Solution Approach 1:
The feedrate is made dynamic by determining it independently for each segment based on local engagement conditions. Instead of using a uniform feedrate, the system calculates optimal feedrates that adapt to varying engagement depths, tool-workpiece interactions, and geometric conditions along different segments. This dynamic approach allows high feedrates in low-engagement areas (increasing productivity) while maintaining lower feedrates in high-engagement areas (reducing tool wear and errors).
Data Source
AI summary
A method determines a feedrate of a tool machining a workpiece according to a path. The method partitions the path into a set of segments, such that within each segment a function of engagement of the tool and the workpiece is substantially constant. Next, the method determines a feedrate for each segment in the set.