4.6 Article

Real-time tool condition monitoring method based on in situ temperature measurement and artificial neural network in turning

Related references

Note: Only part of the references are listed.
Article Engineering, Mechanical

Research on tool wear prediction based on temperature signals and deep learning

Zhaopeng He et al.

Summary: Tool condition monitoring is crucial for efficient tool life utilization, production improvement, and cost reduction. A deep learning method using temperature signals was proposed to predict tool wear accurately. The experimental results showed that the proposed model outperformed traditional methods in terms of prediction accuracy and stability.
Article Engineering, Electrical & Electronic

Cutting tools embedded with thin film thermocouples vertically to the rake face for temperature measurement

Jindang Li et al.

SENSORS AND ACTUATORS A-PHYSICAL (2019)

Review Automation & Control Systems

Review of tool condition monitoring methods in milling processes

Yuqing Zhou et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

Article Engineering, Mechanical

Predicting tool life in turning operations using neural networks and image processing

T. Mikolajczyk et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Automation & Control Systems

Comparing Vibration Sensor Positions in CNC Turning for a Feasible Application in Smart Manufacturing System

Jonny Herwan et al.

INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY (2018)

Article Engineering, Mechanical

Neural network approach for automatic image analysis of cutting edge wear

T. Mikolajczyk et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Engineering, Multidisciplinary

The effect of oil mist supply on cutting point temperature and tool wear in driven rotary cutting

Hiroyuki Sasahara et al.

PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY (2017)

Proceedings Paper Engineering, Manufacturing

Tool Rake Face Temperature Distribution when Machining Ti6Al4V and Inconel 718

Jean Carlos Garcia-Gonzalez et al.

44TH NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE, NAMRC 44 (2016)

Article Engineering, Electrical & Electronic

Vibration sensor based tool condition monitoring using ν support vector machine and locality preserving projection

G. F. Wang et al.

SENSORS AND ACTUATORS A-PHYSICAL (2014)

Article Computer Science, Artificial Intelligence

Online tool wear prediction system in the turning process using an adaptive neuro-fuzzy inference system

Muhammad Rizal et al.

APPLIED SOFT COMPUTING (2013)

Article Thermodynamics

Calibration of the insert/tool holder thermal contact resistance in stationary 3D turning

Alexandre Mondelin et al.

APPLIED THERMAL ENGINEERING (2013)

Article Engineering, Manufacturing

Variation of temperature at the bottom surface of a hole during drilling and its effect on tool wear

Masahiko Sato et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2013)

Article Engineering, Mechanical

Applying the self-organization feature map (SOM) algorithm to AE-based tool wear monitoring in micro-cutting

Chia-Liang Yen et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)

Article Automation & Control Systems

Application of backpropagation neural network for spindle vibration-based tool wear monitoring in micro-milling

Wan-Hao Hsieh et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)

Review Engineering, Manufacturing

A review of chatter vibration research in turning

M. Siddhpura et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2012)

Article Engineering, Manufacturing

Tools with built-in thin film thermocouple sensors for monitoring cutting temperature

Ali Basti et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2007)

Article Engineering, Manufacturing

Role of temperature and surface finish in predicting tool wear using neural network and design of experiments

SK Choudhury et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)

Article Engineering, Industrial

Cutting temperature and tool wear of hard turning hardened bearing steel

XL Liu et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2002)

Article Engineering, Manufacturing

Prediction of flank wear by using back propagation neural network modeling when cutting hardened H-13 steel with chamfered and honed CBN tools

T Ozel et al.

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2002)