David Curtis

University of Sheffield

United Kingdom

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Articles (19)

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2025

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2022

Collaborators (10)

Joao Duro

University of Sheffield

UNITED KINGDOM

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Peace Yemisi Onawumi

Lecturer

University of Nottingham

UNITED KINGDOM

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Tom Slatter

Professor of Wear of Materials

University of Sheffield

UNITED KINGDOM

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Choon Man Lee

Changwon National University

SOUTH KOREA

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Zekai Murat Kilic

The University of Manchester

UNITED KINGDOM

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Robert Ward

University of Sheffield

UNITED KINGDOM

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Zepeng Liu

Lecturer in Electrification

Newcastle University

UNITED KINGDOM

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Yunpeng Zhu

Lecturer in Systems Engineering

Queen Mary University of London

UNITED KINGDOM

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Hassan Ghadbeigi

University of Sheffield

UNITED KINGDOM

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Maria Clara Coimbra Gonçalves

Graduate Teaching Assistant

University of Sheffield

UNITED KINGDOM

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David Curtis

Research Interests

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Articles (19)

Analysis of tool wear in micromilling Ti6Al4V and its impact on generated surface integrity

Application of low frequency vibration to the turning of ultra-high molecular weight polyethylene

Intelligent real-time tool life prediction for a digital twin framework

Vibration Signal-Based Tool Condition Monitoring Using Regularized Sensor Data Modeling and Model Frequency Analysis

Assessment of cutting force coefficient identification methods and force models for variable pitch and helix bull-nose tools

Non-destructive on-machine inspection of machining-induced deformed layers

Digital framework for metallic subtractive process planning: Liger optimisation case study

Non-destructive X-ray diffraction surface integrity inspection of an aeroengine component

Vibration Signal-Based Tool Condition Monitoring Using Regularized Sensor Data Modeling and Model Frequency Analysis

Tool life and wear mechanisms of CVD coated and uncoated SiAlON ceramic milling inserts when machining aged Inconel 718

Hybrid simultaneous laser- and ultrasonic-assisted machining of Ti-6Al-4V alloy

Unsupervised Detection of Tool Breakage: A Novel Approach Based on Time and Sensor Domain Data Analysis

Unsupervised Detection of Tool Breakage: A Novel Approach Based on Time and Sensor Domain Data Analysis

Evolution of electroplated cBN tool surface texture parameters during point grinding

Rapid non-destructive sizing of microstructural surface integrity features using x-ray diffraction

Characterisation of mechanical properties of 15-5PH stainless steel manufactured through direct energy deposition

Machining cycle time prediction : data-driven modelling of machine tool feedrate behavior with neural networks

Productivity Enhancement of Aircraft Turbine Disk Using a Two-Step Strategy Based on Tool-Path Planning and NC-Code Optimization

An alternative wheel regenerative mechanism in surface grinding : distributed grit dullness captured by specific energy waves

Collaborators (10)

Joao Duro

Peace Yemisi Onawumi

Tom Slatter

Choon Man Lee

Zekai Murat Kilic

Robert Ward

Zepeng Liu

Yunpeng Zhu

Hassan Ghadbeigi

Maria Clara Coimbra Gonçalves

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