Computer-Aided Machining for In-Process Machinability Estimation

Solution Overview

Problem

Existing methods require resource-intensive characterization experiments to determine machinability of unknown material batches during machining, especially in subtractive processes like cutting, due to lack of ground-truth data.

Innovation Solution

A computer-aided machining method that automatically sets machining conditions, inserts tools with predetermined wear, monitors tool life, and calculates coefficients for a machinability model based on tool life and speed variations to determine machinability without prior testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If material characterization experiments are performed prior to machining to determine machinability of unknown material batches, then machinability information is obtained, but resource consumption and time are significantly increased

Engineering Contradiction:

Improvemachinability informationVSAvoidcharacterization time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary action by conducting rapid tool life measurements at two different cutting speeds during the machining process itself. This preliminary data collection enables the determination of material machinability coefficients (n and C in Taylor's equation) without requiring extensive prior characterization experiments, thus obtaining necessary information while minimizing time loss.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention uses a simplified copy approach by measuring tool life at only two different cutting speeds rather than performing comprehensive material characterization. This reduced set of measurements captures the essential machinability characteristics needed for process optimization, significantly reducing time investment while maintaining sufficient accuracy for practical machining applications.

Inventive Principle:

Principle #26Copying

2Loss of information

If material characterization experiments are performed prior to machining to determine machinability of unknown material batches, then machinability information is obtained, but resource consumption is significantly increased

Engineering Contradiction:

Improvemachinability informationVSAvoidcharacterization resource consumption

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The system performs preliminary action by conducting rapid tool life measurements at two different cutting speeds during the machining process itself. This preliminary data collection enables the determination of material machinability coefficients (n and C in Taylor's equation) without requiring extensive prior characterization experiments, thus obtaining necessary information while minimizing time loss.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention uses a simplified copy approach by measuring tool life at only two different cutting speeds rather than performing comprehensive material characterization. This reduced set of measurements captures the essential machinability characteristics needed for process optimization, significantly reducing time investment while maintaining sufficient accuracy for practical machining applications.

Inventive Principle:

Principle #26Copying

3Ease of manufacture

If database lookup methods are used to determine machinability when no match is found, then little process optimization is possible, but characterization experiments are resource intensive

Engineering Contradiction:

Improveprocess optimizationVSAvoidcharacterization process complexity

Core Design Contradiction:

Ease of manufactureVSDevice complexity

Solution Approach 1:

The system enables self-service by allowing the machining process itself to generate the necessary machinability data. Through automated tool life measurement at two different cutting speeds, the system independently determines material-specific coefficients without requiring external characterization facilities or complex database matching, thus achieving process optimization with minimal additional complexity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The invention applies parameter changes by varying the cutting speed parameter during tool life measurement. By measuring tool life at two different cutting speeds (v1 and v2), the system can calculate the material-specific coefficients n and C in Taylor's tool life equation, enabling process optimization for unknown materials through simple parameter variation rather than complex characterization procedures.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12379708B2Systems and methods for computer-aided machining

Publication Date: 2025.08.05 SIEMENS AG

AI summary

Systems methods for computer-aided machining includes A) providing a material batch with an undetermined machinability to a machining tool, B) specifying a set of machining conditions having a machining speed, C) inserting a tool that has a predetermined type and a predetermined wear into the machining tool, D) machining the material batch with the machining tool, monitoring wear of the inserted tool during the machining, and determining a first tool life of the tool, E) repeating Steps B, C and D to determine a second tool life, while setting a different machining speed in Step B and inserting a tool of the same type in Step C, F) determining coefficients of a model associated with the material batch, based on the machining speed, the different machining speed, the first and the second tool life, and G) determining machinability of the material batch based on the model.