Virtual Machining State Imaging for Tool-Workpiece Diagnosis

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Solution Overview

Problem

Existing cutting load prediction systems in NC machine tools provide accurate load predictions but fail to objectively represent the broader machining state, including contact states and other phenomena.

Innovation Solution

A machining state information estimation device that converts machining state information into images, using virtual workpiece and tool models to represent contact states, cutting resistance, surface roughness, and cutting depth, enabling objective recognition and potential NC program regeneration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If cutting load prediction is performed using actual motion data from idling, then prediction accuracy is improved, but the ability to represent broader machining state phenomena deteriorates

Engineering Contradiction:
Improvecutting load prediction accuracyVSAvoidrepresentation of machining state phenomena
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent creates virtual copies of the workpiece and tool in a virtual space that replicate the physical machining process. These virtual models are moved according to actual motion data from the NC machine tool, enabling both accurate cutting load prediction and comprehensive representation of machining state phenomena including contact states, vibrations, and surface roughness without requiring multiple separate measurement systems

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The virtual machining system serves multiple functions simultaneously: it predicts cutting loads, represents contact states between tool and workpiece, analyzes vibrations, and estimates surface roughness. This multi-functional approach resolves the contradiction by enabling comprehensive machining state representation while maintaining prediction accuracy through the use of actual motion data from the NC machine tool

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Loss of information

If virtual workpiece and tool models are arranged and moved to estimate machining state, then objective recognition of machining state is enabled, but computational complexity increases

Engineering Contradiction:
Improveobjective recognition of machining stateVSAvoidcomputational complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

Instead of using complex sensor systems to directly measure machining state, the patent creates simplified virtual models that replicate the essential geometry and motion of the workpiece and tool. These virtual copies are computationally efficient to manipulate while still providing objective recognition of machining state through their movement and interaction in the virtual space

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces complex mechanical measurement systems with computational models. Rather than using multiple sensors to detect contact states, vibrations, and forces, the system uses virtual models that are moved according to NC program data, substituting mechanical complexity with computational processing that achieves the same information gathering objectives

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentEP3995914B1Machining state information estimation device and machining state diagnosis apparatus
Publication Date: 2025.07.30 DMG MORI CO LTD
  • EP3995914B1 patent drawingFigure 1
  • EP3995914B1 patent drawingFigure 2(a)~2(b)
  • EP3995914B1 patent drawingFigure 3~4

AI summary

A machining state diagnosis apparatus (10) includes a machining state information estimation device (1), a learning information storage (11) storing information on relationship between estimated machining state information and actual machining state information, and a machining state diagnosis unit (12) diagnosing a machining state in actual machining using control information, based on machining state information obtained during the actual machining, machining state information estimated based on corresponding control information by the machining state information estimation device (1), and the relationship information stored in the learning information storage 11. The machining state information estimation device (1) includes an information storage (2) storing the control information and information on a workpiece and a tool, a machining state information estimator (3) estimating machining state information in relatively moving the workpiece and the tool, based on the information on the workpiece and the tool and the control information, and an image data generator (4) generating image data based on the estimated machining state information.