Thomas E. McLeay
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View article: A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes
A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes Open
The emergence of highly instrumented manufacturing systems has enabled the paradigm of smart manufacturing that provides high levels of prognostics functionality. Of particular interest is to precisely determine geometric conformance or no…
View article: Online damage detection of cutting tools using Dirichlet process mixture models
Online damage detection of cutting tools using Dirichlet process mixture models Open
The ability to monitor and predict tool deterioration during machining is an important goal because the state of wear has a significant influence on the surface quality of machined components. To build up a comprehensive condition monitori…
View article: A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts
A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts Open
Robotic machining processes are characterised by errors arising from the limitations of the industrial robots. These robot-related errors can compromise the overall manufacturing process performance, resulting in final products with dimens…
View article: A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing
A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing Open
There is an increasing demand for manufacturing processes to improve product quality and production rates while minimising the costs. The quality of the products is influenced by several sources of errors introduced during the series of ma…
View article: An interpretable machine learning based approach for process to areal surface metrology informatics
An interpretable machine learning based approach for process to areal surface metrology informatics Open
Surface metrology parameters represent an important class of design variables, which can be controlled because they represent the DNA or fingerprint of the whole manufacturing chain as well as form important predictors of the manufactured …
View article: Development of a New Machine Learning-based Informatics System for Product Health Monitoring
Development of a New Machine Learning-based Informatics System for Product Health Monitoring Open
Manufacturing informatics aims to optimize productivity by extracting information from numerous data sources and making decisions based on that information about the process and the parts being produced. Manufacturing processes usually inc…
View article: Work holding assessment of an UV adhesive and fixture design method
Work holding assessment of an UV adhesive and fixture design method Open
Adhesive work holding can be used to minimize clamping distortion and provide greater access to a work piece during machining. This paper proposes shear and tensile strength criteria to evaluate the work holding strength of adhesive grippe…
View article: A probabilistic framework for online structural health monitoring: active learning from machining data streams
A probabilistic framework for online structural health monitoring: active learning from machining data streams Open
A critical issue for data-based engineering is a lack of descriptive labels for the measured data. For many engineering systems, these labels are costly and/or impractical to obtain, and as a result, conventional supervised learning is not…
View article: A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing
A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing Open
Manufacturing is usually performed as a sequence of operations such as forming, machining, inspection, and assembly. A new challenge in manufacturing is to move towards Industry 4.0 (the fourth Industrial revolution) concerning the full in…
View article: Machining Distortion in Asymmetrical Residual Stress Profiles
Machining Distortion in Asymmetrical Residual Stress Profiles Open
This paper presents the results from a set of experimental and computational studies of the effect of asymmetrical residual stress on machining distortion of Al-7050 alloy. Aluminum coupons were physically bolted together for heat treatmen…
View article: An Intelligent Metrology Informatics System based on Neural Networks for Multistage Manufacturing Processes
An Intelligent Metrology Informatics System based on Neural Networks for Multistage Manufacturing Processes Open
The ability to gather manufacturing data from various workstations has been explored for several decades and the advances in sensory and data acquisition techniques have led to the increasing availability of high-dimensional data. This pap…
View article: Unsupervised Monitoring of Machining Processes
Unsupervised Monitoring of Machining Processes Open
Machining processes, such as milling, drilling, turning and grinding, concern the removal of material from a workpiece using a cutting tool. These processes are sensitive to parameters such as cutting tool properties, workpiece materials, …
View article: A Multivariate Control Chart for Autocorrelated Tool Wear Processes
A Multivariate Control Chart for Autocorrelated Tool Wear Processes Open
Full automation of metal cutting processes has been a long held goal of the manufacturing industry. One key obstacle to achieving this ambition has been the inability to monitor completely the condition of the cutting tool in real time, as…
View article: A Flute Tracking System For Monitoring The Wear Of Cutting Tools In Milling Operations
A Flute Tracking System For Monitoring The Wear Of Cutting Tools In Milling Operations Open
Monitoring of tool wear in milling operations is essential for achieving the desired dimensional accuracy and surface finish of a machined workpiece. Although there are numerous statistical models and artificial intelligence techniques ava…
View article: Using spindle noise to monitor tool wear in a turning process
Using spindle noise to monitor tool wear in a turning process Open
A tool condition monitoring system can increase the competitiveness of a machining process by increasing the utilised tool life and decreasing instances of part damage from excessive tool wear or tool breakage. This article describes an in…