Machining Load-Current Monitoring for Early Tool Damage Detection

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Solution Overview

Problem

Tools can be damaged during machining, leading to the production of defective products, which cannot be subjected to predetermined machining.

Innovation Solution

A machining system that includes a tool, motor, measurement device, and controller, where the controller changes the rotational speed of the motor when a Mahalanobis distance (MD) exceeds a threshold, determined by parameters derived from Fourier transform of the load current, to prevent further machining with a damaged tool.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If machining continues without monitoring, then productivity is maintained, but tool damage occurs leading to defective products

Engineering Contradiction:
Improveproduct qualityVSAvoidmachining efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary action by continuously monitoring load current during machining and calculating Mahalanobis distance to detect tool damage early, before defective products are produced. This allows intervention at the earliest stage of tool degradation, maintaining both quality and productivity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by using measurement devices to acquire load current, processing it through Fourier transform and Mahalanobis distance calculation, and feeding this information back to the control device. When the Mahalanobis distance exceeds the threshold, the system automatically stops machining, creating a closed-loop quality control system that prevents defective products while maintaining productivity.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If load current monitoring is implemented, then tool damage detection accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvetool damage detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The control device performs multiple functions: it controls motor rotation, processes load current signals through Fourier transform, calculates Mahalanobis distance, compares against threshold values, and triggers stop commands. By consolidating these diverse functions into a single control device rather than adding separate specialized components, the system achieves high measurement precision without proportionally increasing device complexity.

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

Solution Approach 2:

The system uses the existing motor's load current for dual purposes: normal motor control and tool damage detection. The load current that would otherwise be merely a byproduct of motor operation is utilized as the detection signal, eliminating the need for separate sensors or measurement systems and reducing overall device complexity while maintaining high detection accuracy.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If Mahalanobis distance calculation is used, then defective product detection accuracy is improved, but computation time increases

Engineering Contradiction:
Improvedefective product detection accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-calculating and storing threshold values for Mahalanobis distance based on normal machining conditions. During actual machining, the system only needs to compare the calculated Mahalanobis distance against these pre-established thresholds, rather than performing complex statistical analysis in real-time. This significantly reduces computation time while maintaining high detection accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system applies partial action by focusing the Mahalanobis distance calculation specifically on the load current parameter obtained through Fourier transform, rather than analyzing all possible machining parameters. By concentrating computational resources on the most relevant parameter (load current) that directly indicates tool damage, the system achieves high detection accuracy with minimized computation time.

Inventive Principle:
Principle #16Partial or excessive action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system effectively suppresses the production of defective products by immediately adjusting the motor speed when a threshold is exceeded, ensuring high accuracy in detecting and preventing defective products, even in multi-spindle lathes.

Implementation Method 1

a measurement device configured to acquire a load current of the motor

Methodology Applied
Scientific EffectElectrical current detection: Ohmmeter

Implementation Method 2

the parameter based on the load current includes a parameter obtained by performing Fourier transform on the load current

Methodology Applied
Scientific EffectFourier transform:

Data Source

PatentUS12517491B2Machining system, and method of manufacturing a machined product
Publication Date: 2026.01.06 SUMITOMO ELECTRIC SINTERED ALLOY LTD
  • US12517491B2 patent drawing
  • US12517491B2 patent drawing
  • US12517491B2 patent drawing

AI summary

A machining system includes, a tool configured to machine a workpiece, a motor configured to rotate the tool or the workpiece, a controller configured to control the motor, a measurement device configured to acquire a load current of the motor, the controller is configured to change a rotational speed of the motor when a Mahalanobis distance exceeds a threshold, the Mahalanobis distance is a value determined by using a parameter based on the load current acquired by the measurement device in a specific machining range of the workpiece, and the parameter based on the load current includes a parameter obtained by performing Fourier transform on the load current and a measured value of the load current.