NC Machining Operation Guidance for Thermal Displacement Correction

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Solution Overview

Problem

Current machining technologies face challenges in achieving accurate correction of thermal displacement and other operations that require operator determination, especially for severe dimensional accuracy, as automatic correction methods are insufficient for precise requirements and are burdensome for operators.

Innovation Solution

A numerical control device with an operation item extraction unit, necessity adding unit, and necessity determination unit that identifies and determines the necessity of operations based on machine tool state information, such as thermal displacement, tool wear, and cutting conditions, to assist operators in executing necessary operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic correction methods are used for thermal displacement, then productivity is improved, but manufacturing precision deteriorates for severe dimensional accuracy requirements

Engineering Contradiction:
Improvemachining efficiencyVSAvoiddimensional accuracy
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The system continuously monitors machine tool state variables (temperature, vibration, load) and compares actual machining results against target values, automatically adjusting parameters in real-time to maintain precision while enabling continuous operation. This closed-loop feedback mechanism resolves the contradiction by making automatic correction sufficiently accurate for severe tolerances.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts multiple parameters including feed rate, spindle speed, and tool path based on real-time state monitoring and machine learning predictions. By changing parameters adaptively rather than using fixed correction values, the system achieves both high productivity and severe dimensional accuracy requirements.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If manual correction of thermal displacement is performed, then manufacturing precision is improved for severe dimensional accuracy, but productivity deteriorates due to operator burden

Engineering Contradiction:
Improvedimensional accuracyVSAvoidmachining efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system performs self-correction by automatically monitoring its own state variables and adjusting machining parameters without operator intervention. The machine tool serves itself by using embedded sensors and machine learning models to detect thermal displacement and compensate automatically, eliminating the need for manual correction while maintaining severe dimensional accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical correction operations with automated computational methods. Machine learning models predict thermal displacement patterns and generate correction commands automatically, substituting the operator's mechanical adjustment actions with intelligent automated control that maintains precision while improving productivity.

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

3Manufacturing precision

If work instructions are provided to operators, then manufacturing precision is maintained through uniform operations, but ease of operation deteriorates due to operator determination burden

Engineering Contradiction:
Improveoperation consistencyVSAvoidoperator decision burden
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The system provides real-time feedback to operators about when specific operations are necessary based on monitored state variables. Instead of requiring operators to continuously determine whether operations are needed, the system automatically analyzes state data and presents clear, data-driven recommendations, reducing cognitive burden while maintaining operation consistency.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system acts as an intermediary between the complex machining process and the operator. It translates raw sensor data and machine learning predictions into simplified operation recommendations, serving as a cognitive assistant that reduces the operator's determination burden while ensuring consistent, precision-oriented operations.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20240152119A1Machining operation assisting device and storage medium
Publication Date: 2024.05.09 FANUC LTD
  • US20240152119A1 patent drawing
  • US20240152119A1 patent drawing
  • US20240152119A1 patent drawing

AI summary

A numerical control device as a machining operation assisting device extracts an operation item whose necessity changes depending on the operating state of a machine tool, determines the necessity of the operation item based on the operating condition of the machine tool, adds the necessity to the operation item, and determines the presence or absence of an operation to be executed by an operator based on the necessity added to the operation item. Then, a screen of a display unit of the numerical control device as the machining assisting device, a terminal device of the operator, or a computer managing the machine tool in a factory, for example, is informed of the determined necessity of the operation item.