Explanipedia

Comparison of Two Machine Learning Models for Predicting Volumetric Errors From On-The-Fly R-Test Type Device Data and Virtual End Point Constraints Open

Min Zeng, J.R.R. Mayer, Miao Feng, Elie Bitar-Nehme, Xuan Truong Duong · 2025

On-the-fly virtual end-point constraints consists in moving all five axes of the machine tool while nominally maintaining the coincidence of a sensing head centre point with a master ball centre attached to the workpiece table. The sensing…

Novel cylindrical representation of the STFT for signal analysis Open

Jacob Gonzalez‐Villagomez, Gonzalez-Villagomez Esau, J.R.R. Mayer, Carlos Rodríguez-Donate, Kanglin Xing · 2025

The proposal of new signal representation techniques in time‐frequency domain can improve the visualization and acquisition of frequency components in various applications. In this sense, this article presents a novel and different represe…

In situ formation of an active oxygen evolution catalyst via photodegradation of [Ru(bpy)3]2+ Open

Marcel Langer, Alexander K. Mengele, Riccarda Müller, Julius C. Wetzel, J.R.R. Mayer , et al. · 2025

The photoinduced, oxidative degradation of the model photosensitizer [Ru(bpy) 3 ] 2+ in organic solvent is reported, which leads to the formation of “blue-dimer”-type oxygen evolution catalysts.

Automatic Alignment of Three-Bracket Setup for Orthodontic Measurements Open

Ida Leinthaler, Hanna Gierling, Rudolf Jäger, Bernd G. Lapatki, J.R.R. Mayer , et al. · 2024

Orthodontic tooth movement is related to application of forces and moments to individual teeth. Experimental testing of orthodontic wires helps clinicians to exert adequately dimensioned therapeutic loads. In this work, an existing experim…

Prediction of machine tool's static translational volumetric error caused by compliance from feed motor torque Open

T. Pham Zheyu Zhuang, J.R.R. Mayer · 2024

Machine tool volumetric compliance quantifies the deflection of the tool tip relative to the workpiece under the effect of a mutual force. Its knowledge can help to virtually monitor tool path errors. This study, conducted under static con…

Deep Learning to Directly Predict Compensation Values of Thermally Induced Volumetric Errors Open

Huy Vu Ngoc, J.R.R. Mayer, Elie Bitar-Nehme · 2023

The activities of the rotary axes of a five-axis machine tool generate heat causing temperature changes within the machine that contribute to tool center point (TCP) deviations. Real time prediction of these thermally induced volumetric er…

Machine tool calibration: Measurement, modeling, and compensation of machine tool errors Open

Wei Gao, Soichi Ibaraki, M A. Donmez, Daisuke Kono, J.R.R. Mayer , et al. · 2023

Correction of the systematic errors of 3D scanner measurements by datafusion with CMM data Open

Mathieu Latulippe, Farbod Khameneifar, J.R.R. Mayer · 2023

Technological advances in additive and subtractive manufacturing are making it easier to produce parts with complex geometries. When the design tolerances are in micrometers, the task of inspecting those parts is complex and expensive. Cur…

Prediction of diameter error in one-setup machining test by using machinelearning algorithms Open

Min Zeng, J.R.R. Mayer, XuanTruong Duong · 2023

To efficiently collect data for training machine learning (ML) algorithms in predicting diameter error for process planning optimization, a one-setup milling test with 27 cylinders on a workpiece implements a full factorial experiment of t…

A Novel Elasto-Geometric Model Exploiting Loaded Circular Test on a Machine Tool Open

Babak Beglarzadeh, J.R.R. Mayer, Andreas Archenti · 2022

A novel elasto-geometric model is introduced that simultaneously estimates joint compliances and geometric error parameters by employing the loaded double ball bar apparatus. The model parameters are estimated from tests at different force…

Prompt uncertainty estimation with GUM framework for on-machine tool coordinate metrology Open

Saeid Sepahi-Boroujeni, J.R.R. Mayer, Farbod Khameneifar · 2022

This paper validates the uncertainty evaluated following the Guide to the Expression of Uncertainty in Measurement (GUM) for on-machine probing with a five-axis machine tool. A partly synthetic input covariance matrix is assembled for Mont…

Condition Monitoring of Manufacturing Processes under Low Sampling Rate Open

Gabriel Bernard, Sofiane Achiche, Sébastien Girard, J.R.R. Mayer · 2021

Manufacturing processes can be monitored for anomalies and failures just like machines, in condition monitoring and prognostic and health management. This research takes inspiration from condition monitoring and prognostic and health manag…

Evaluation of the Metrological Performance of a Handheld 3D Laser Scanner Using a Pseudo-3D Ball-Lattice Artifact Open

Rémi Bonin, Farbod Khameneifar, J.R.R. Mayer · 2021

This paper proposes the use of a pseudo-3D ball-lattice artifact to characterize a handheld laser scanner from a metrological standpoint. The artifact allows the computation of local and global errors in measurement by using the reference-…

Low-Cost Precision Monitoring System of Machine Tools for SMEs Open

Kanglin Xing, Xiaojie Liu, Zhaoheng Liu, J.R.R. Mayer, Sofiane Achiche · 2021

Digital manufacturing technology promotes the application of digital information to manufacturing processes and machine tools. However, the high entry cost and complexity of existing offerings limit the wide application of digital manufact…

Impact of Model Complexity in the Monitoring of Machine Tools Condition Using Volumetric Errors Open

Kanglin Xing, J.R.R. Mayer, Sofiane Achiche · 2020

The scale and master ball artefact (SAMBA) method allows estimating the inter- and intra-axis error parameters as well as volumetric errors (VEs) of a five-axis machine tool by using simple ball artefacts and the machine tool’s own touch-t…

An Integrated Geometric and Hysteretic Error Model of a Three Axis Machine Tool and Its Identification With a 3D Telescoping Ball-Bar Open

Sareh M. Esmaeili, J.R.R. Mayer · 2020

The ball-bar instrument is used to estimate a maximum number of hysteretic error sources. Machine error parameters include inter- and intra-axis errors as well as hysteresis effects. An error model containing cubic polynomial functions and…

Five-Axis Machine Tool Coordinate Metrology Evaluation Using the Ball Dome Artefact Before and After Machine Calibration Open

Heidarali Hashemiboroujeni, Sareh Esmaeili Marzdashti, Kanglin Xing, J.R.R. Mayer · 2019

Now equipped with touch trigger probes machine tools are increasingly used to measure workpieces for various tasks such as rapid setup, compensation of final tool paths to correct part deflections and even verify conformity to finished tol…

Quantitative assessment of machine tools condition through fractal analysis of volumetric error vector similarity measures Open

Kanglin Xing, Xavier Rimpault, J.R.R. Mayer, Jean-François Châtelain, Sofiane Achiche · 2019

The volumetric error state of machine tools is related to the quality of the machined parts and the machine tool condition. Volumetric error vectors (VEs) of machine tools can be estimated using methods such as R-test, laser trackers and t…

Machine Tool Volumetric Error Features Extraction and Classification Using Principal Component Analysis and K-Means Open

Kanglin Xing, J.R.R. Mayer, Sofiane Achiche · 2018

Volumetric errors (VE) are related to the machine tool accuracy state. Extracting features from the complex VE data provides with a means to characterize this data. VE feature classification can reveal the machine tool accuracy states. Thi…

Comparison of Direct and Indirect Methods for Five-axis Machine Tools Geometric Error Measurement Open

Kanglin Xing, Sofiane Achiche, Sareh M. Esmaeili, J.R.R. Mayer · 2018

Geometrical error (GE) is a key criterion for machine tools performance evaluation. GE measurement methods can be classified as direct and indirect methods. As an indirect GE measurement method, the scale and master ball artefact (SAMBA) m…

Measurement Accuracy Investigation of Touch Trigger Probe with Five-Axis Machine Tools Open

M. M. Rahman, J.R.R. Mayer · 2016

The touch trigger probe plays an important role in modern metrology because of its robust and compact design with crash protection, long life and excellent repeatability. Aside from coordinate measuring machines (CMM), touch trigger probes…

The Octoball: an artefact for additive manufacturing precision assessment Open

Ian Basta, J.R.R. Mayer, Luc Baron · 2016

Calibration performance investigation of an uncalibrated indigenous artefact probing for five-axis machine tool Open

Mohammed Mizanur Rahman, J.R.R. Mayer · 2016

Performance of a five-axis machine tool as a coordinate measuring machine (CMM) Open

M. M. Rahman, J.R.R. Mayer · 2016

The use of machine tools for on-machine coordinate measurement on the workpiece is becoming commonplace. However, numerous errors can adversely affect the measurement accuracy. For instance, the inter-axis parameters are major contributors…

Modeling of Laterally Sliding Motion of a Magnetic Clamp Open

M. A. Mahmud, J.R.R. Mayer, Luc Baron · 2015

A sliding magnetic clamp is used to hold a thin aluminum panel during a milling operation. The design includes a permanent magnet group follower (slave module) which slides laterally over the panel attracted by another permanent magnet gro…

0216 Testing a Five Axis Machine Tool for Coordinate Metrology Open

Mizanur Rahman, J.R.R. Mayer · 2015

The use of machine tools for on-machine coordinate measurement on the workpiece is becoming commonplace. However, numerous errors can adversely affect the measurement accuracy. For instance, the inter-axis parameters are major contributors…

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