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Journal articles on the topic 'Machine calibration'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

Mamajanov, B., S. Abdurahmonov, and A. Shukuraliev. "Cotton seeds sorting with the help of dielectric calibration and sorting machines." Bulletin of Science and Practice 4, no. 3 (2018): 83–86. https://doi.org/10.5281/zenodo.1198030.

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In the article, it is planned to study the influence of the process of cottonseed separation on dielectric calibrating–sorting machines on their sowing properties. The main technological experiments were aimed at studying the effect of the operating voltage of a dielectric calibration and sorting machine on the quality of cottonseed separation and on determining the place of use of a dielectric calibration and sorting machine in cotton plant technological lines. For this, a comparative analysis of the technological circuits was carried out. The authors concluded that dielectric calibrati

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Haitjema. "Calibration of Displacement Laser Interferometer Systems for Industrial Metrology." Sensors 19, no. 19 (2019): 4100. http://dx.doi.org/10.3390/s19194100.

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Displacement laser interferometer systems are widely used for the calibration of machine tools and CMMs (Coordinate Measuring Machines). Additionally, they are often the workhorse in dimensional calibration laboratories, where they act as the basic metrological traceability link for many calibrations. This paper gives a review of the calibration of such systems, where several approaches, such as the calibrations of separate components or the system as a whole, are reviewed. The calibrations discussed are: the laser frequency, the counting system, software evaluation of the environmental condit

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Zhuang, Hanqi, Lixin Liu, and Oren Masory. "Autonomous Calibration of Hexapod Machine Tools1." Journal of Manufacturing Science and Engineering 122, no. 1 (1997): 140–48. http://dx.doi.org/10.1115/1.538893.

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Hexapod machines are emerging as a new type of CNC machine tools. Among other things, stringent calibration is an important means to improve their accuracy. Traditionally, to perform system calibration, one needs to measure a number of machine poses using an external measuring device. However, this process is often labor-intensive and invasive, and difficult for on-line calibration. In this paper, a systematic way of self-calibrating a hexapod machine tool is introduced. By adding a small number of redundant internal sensors, errors of the hexapod machine tool can be measured. This approach ha

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Zhang, Siyuan, та Linbo Xie. "Parametric ρ-Norm Scaling Calibration". Proceedings of the AAAI Conference on Artificial Intelligence 39, № 21 (2025): 22551–59. https://doi.org/10.1609/aaai.v39i21.34413.

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Output uncertainty indicates whether the probabilistic properties of the overall distribution reflect objective characteristics of the model output. Unlike most loss functions and metrics in machine learning, uncertainty pertains to individual samples, but validating it on individual samples is unfeasible. When validated collectively, it cannot fully represent individual sample properties, posing a challenge in assessing and calibrating model confidence in a limited data set. Hence, it is crucial to consider confidence calibration characteristics. To counter the adverse effects of the gradual

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Kajima, Mariko, Tsukasa Watanabe, Makoto Abe, and Toshiyuki Takatsuji. "Calibrator for 2D Grid Plate Using Imaging Coordinate Measuring Machine with Laser Interferometers." International Journal of Automation Technology 9, no. 5 (2015): 541–45. http://dx.doi.org/10.20965/ijat.2015.p0541.

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A calibrator for 2D grid plates have been developed. The calibrator was based on a commercial imaging coordinate measuring machine (imaging CMM). A laser interferometer for the calibration of the x-coordinate and two laser interferometers for the calibration of the y-coordinate were attached to the imaging CMM. By applying multistep measurement method for the calibration procedure, the geometrical error in the calibrator was reduced. The calibration of a precision 2D grid plate was demonstrated, and the expanded uncertainty was estimated to be 0.2 μm (k =2).

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KUMAR, HARISH. "A CONTEMPORARY APPROACH FOR EVALUATION OF THE BEST MEASUREMENT CAPABILITY OF A FORCE CALIBRATION MACHINE." International Journal of Modern Physics: Conference Series 24 (January 2013): 1360013. http://dx.doi.org/10.1142/s2010194513600136.

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The present paper discusses the procedure for evaluation of best measurement capability of a force calibration machine. The best measurement capability of force calibration machine is evaluated by a comparison through the precision force transfer standards to the force standard machines. The force transfer standards are calibrated by the force standard machine and then by the force calibration machine by adopting the similar procedure. The results are reported and discussed in the paper and suitable discussion has been made for force calibration machine of 200 kN capacity. Different force tran

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Hampel, David, Kateřina Jůzová, and Martina Matulíková. "Credit rating calibration." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 79–84. http://dx.doi.org/10.11118/actaun201260020079.

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In this paper we deal with determination of chosen characteristics of vending business in the Czech Republic. Vending seems to be dynamically developing sector of economics. A strong competition is present in this market. This can be a reason that new ideas of improvement appear continuously. Primary data are used to characterize vending business from the perspective of consumer as well as vending operator. The data are used as input to statistical tests; results are summarized and presented in economic terms. At first, survey (about 600 respondents) is analyzed in empirical way. It is informa

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Pak, Alexey, Steffen Reichel, and Jan Burke. "Machine-Learning-Inspired Workflow for Camera Calibration." Sensors 22, no. 18 (2022): 6804. http://dx.doi.org/10.3390/s22186804.

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The performance of modern digital cameras approaches physical limits and enables high-precision measurements in optical metrology and in computer vision. All camera-assisted geometrical measurements are fundamentally limited by the quality of camera calibration. Unfortunately, this procedure is often effectively considered a nuisance: calibration data are collected in a non-systematic way and lack quality specifications; imaging models are selected in an ad hoc fashion without proper justification; and calibration results are evaluated, interpreted, and reported inconsistently. We outline an (

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Huang, Feng Shan, and Li Chen. "CCD Camera Calibration Technology Based on the Translation of Coordinate Measuring Machine." Applied Mechanics and Materials 568-570 (June 2014): 320–25. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.320.

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A new CCD camera calibration method based on the translation of Coordinate Measuring Machine (CMM) is proposed. The CMM brings the CCD camera to produce the relative translation with respect to the center of the white ceramic standard sphere along the X, Y, Z axis, and the coordinates of the different positions of the calibration characteristic point in the probe coordinate system can be generated. Meanwhile, the camera captures the image of the white ceramic standard sphere at every position, and the coordinates of the calibration characteristic point in the computer frame coordinate system c

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Soylu, Ufuk, and Michael L. Oelze. "Machine-to-machine transfer function: Transferring deep learning models between ultrasound machines." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A350. http://dx.doi.org/10.1121/10.0019120.

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In our previous work, we proposed a calibration method for deep learning (DL) to mitigate the effects of acquisition-related data mismatches in the context of tissue characterization. We showed that the “setting” transfer function can transfer deep learning models between imaging settings. We now extend the calibration method to transfer deep learning models between ultrasound machines. This can lead to reduced cost of model development and also improved understanding of the issues related to the security of deep learning based algorithms in biomedical ultrasound imaging. We gathered four data

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Parkinson, Simon, Andrew Longstaff, Andrew Crampton, and Peter Gregory. "The Application of Automated Planning to Machine Tool Calibration." Proceedings of the International Conference on Automated Planning and Scheduling 22 (May 14, 2012): 216–24. http://dx.doi.org/10.1609/icaps.v22i1.13504.

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Engineering companies working with machine tools will often be required to calibrate those machines to international standards. The calibration process requires various errors in the machine to be measured by a skilled expert. In addition to conducting the tests, the engineer must also plan the order in which the tests should take place, and also which instruments should be used to perform each test. It is critical to find as short a calibration plan as possible so that the machine is not out of service for too long. In this work, automated planning is applied to the problem of generating mach

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Xiong, Zhong Xing, Feng Li, and Bin Li. "A Calibration Device and Method to Calibrate the Beam’s Direction of the Point Laser Probe." Applied Mechanics and Materials 799-800 (October 2015): 980–84. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.980.

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When using the laser displacement sensor to measure distance, there is a deflection angle which exites between the direction of the laser beam and the direction of axis, this deflection angle has an impact on the final measurement result. This paper presented a calibration method of the laser beam’s direction, designed calibration device and ceramic calibration plate. In the process of calibrating, laser displacement sensor moves along Z-axis and Y-axis of machine, CCD camera takes the image of the spot projected by laser beam on the calibration plate, then calculate the laser beam’s direction

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李, 冬. "Machine Vision Pixel Calibration." Artificial Intelligence and Robotics Research 03, no. 02 (2014): 25–33. http://dx.doi.org/10.12677/airr.2014.32005.

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Tran, Cao-Sang, Tung-Hsien Hsieh, and Wen-Yuh Jywe. "Laser R-Test for Angular Positioning Calibration and Compensation of the Five-Axis Machine Tools." Applied Sciences 11, no. 20 (2021): 9507. http://dx.doi.org/10.3390/app11209507.

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The angular positioning error of the rotary stage causes low quality in milling various angles of a workpiece. This study proposes a solution that could improve these issues by using our Laser R-test for angular positioning calibration and compensation of the five-axis machine tools in compliance with the simultaneous measurement path of ISO regulations: ISO 10791-6 and ISO 230-2. System uncertainty analysis and calibration were implemented for system prediction. The measurement method proposed in this paper could solve concentricity problems between measurement devices and the rotary table by

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TAKAMASU, Kiyoshi, Ryoshu FURUTANI, Ken SHIMOJIMA, and Osamu SATO. "Artifact Calibration of Coordinate Measuring Machine-Kinematic Calibration-." Journal of the Japan Society for Precision Engineering 69, no. 6 (2003): 851–55. http://dx.doi.org/10.2493/jjspe.69.851.

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Tian, Feng, Xiao Yin, and Bo Li. "Calibration of cyclic force with inertial force correction to a fatigue testing machine." ACTA IMEKO 9, no. 5 (2020): 124. http://dx.doi.org/10.21014/acta_imeko.v9i5.953.

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The accuracy between a dynamic force and a static force applied on a specimen by a fatigue machine is usually not the same. By establishing physical vibration models of fatigue machines, it is concluded that the error of a cyclic force is mainly caused by the inertial force of the vibration mass between the machine sensor and the specimen. After the inertial force is exactly corrected, the force displayed on the machine would be consistent with the real force on the specimen. A standard dynamic force calibration sensor (DFCS) with an inertial force correction method has been used to do calibra

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Mareš, Martin, Otakar Horejš, and Jan Hornych. "Thermal Error Minimization of a Turning-Milling Center with Respect to its Multi-Functionality." International Journal of Automation Technology 14, no. 3 (2020): 475–83. http://dx.doi.org/10.20965/ijat.2020.p0475.

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Achieving high workpiece accuracy is a long-term goal of machine tool designers. Many causes can explain workpiece inaccuracy, with thermal errors being the most dominant. Indirect compensation (using predictive models) is a promising thermal error reduction strategy that does not increase machine tool costs. A modeling approach using transfer functions (i.e., a dynamic method with a physical basis) has the potential to deal with this issue. The method does not require any intervention into the machine tool structure, uses a minimum of additional gauges, and its modeling and calculation speed

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Apostolopoulos, Ioannis D., Silas Androulakis, Panayiotis Kalkavouras, George Fouskas, and Spyros N. Pandis. "Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning." Sensors 24, no. 13 (2024): 4110. http://dx.doi.org/10.3390/s24134110.

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This paper addresses the challenges of calibrating low-cost electrochemical sensor systems for air quality monitoring. The proliferation of pollutants in the atmosphere necessitates efficient monitoring systems, and low-cost sensors offer a promising solution. However, issues such as drift, cross-sensitivity, and inter-unit consistency have raised concerns about their accuracy and reliability. The study explores the following three calibration methods for converting sensor signals to concentration measurements: utilizing manufacturer-provided equations, incorporating machine learning (ML) algo

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Jiang, Zhihua, Wenjian Zhang, and Lizhen Cui. "Research of three dimensional laser scanning coordinate measuring machine." MATEC Web of Conferences 232 (2018): 02015. http://dx.doi.org/10.1051/matecconf/201823202015.

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Three dimensional laser scanning coordinate measuring machine is suitable for the measurement of 3D printing products, and its measuring range depends on the three coordinate measuring machine. It is the main 3D printing product measuring instrument [1]. In this paper, the principle of laser scanning three coordinate measuring machine is analyzed. The accuracy and reliability of the calibration system for 3D printing products are verified. According to the newly revised JJF 1064 Calibration specification for coordinate measuring machines [3], it is calibrated.

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Verma, Shomik, Miguel Rivera, David O. Scanlon, and Aron Walsh. "Machine learned calibrations to high-throughput molecular excited state calculations." Journal of Chemical Physics 156, no. 13 (2022): 134116. http://dx.doi.org/10.1063/5.0084535.

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Understanding the excited state properties of molecules provides insight into how they interact with light. These interactions can be exploited to design compounds for photochemical applications, including enhanced spectral conversion of light to increase the efficiency of photovoltaic cells. While chemical discovery is time- and resource-intensive experimentally, computational chemistry can be used to screen large-scale databases for molecules of interest in a procedure known as high-throughput virtual screening. The first step usually involves a high-speed but low-accuracy method to screen l

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Igarashi, Hiroshi. "Subliminal Calibration for Machine Operation." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 1 (2012): 108–16. http://dx.doi.org/10.20965/jaciii.2012.p0108.

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This paper proposes a skill assist technique without having the operator to be aware of it. Heretofore, many operation assists in a human-machine system has added artificial force in human operation input such as reactive force from obstacles. Such an approach is suitable in a particular task as simulated by the designer, because it can improve safety and efficiency, but is simultaneously hindering human learning ability. The proposed method will correct the machine dynamics of the operation subject subliminally, meaning that the operator will not be aware that it is being altered. Henceforth,

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Falko, Irina. "UNIVERSAL CALIBRATION VIBRATING MACHINE FOR VEGETABLES AND FRUITS." Scientific Papers оf DonNTU: Mechanical Engineering and Machine Science 1, no. 15 (2023): 28–35. http://dx.doi.org/10.31474/2308-5312-2023-1-15-28-35.

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Objective: to create a new promising design of a universal calibration machine for vegetables and fruits, suitable for use in food processing and canning industries. Research methods: scientific analytical techniques with theoretical and computational methods of designing machines and apparatuses of food production are used. Results: as a result of the research work, a project for a new design of a universal calibration vibrating machine of continuous operation for vegetables and fruits was created. The structure has a working body, which is a flat sieve created from fan-shaped steel bars, an

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Dunkley Jones, Tom, Yvette L. Eley, William Thomson, et al. "OPTiMAL: a new machine learning approach for GDGT-based palaeothermometry." Climate of the Past 16, no. 6 (2020): 2599–617. http://dx.doi.org/10.5194/cp-16-2599-2020.

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Abstract. In the modern oceans, the relative abundances of glycerol dialkyl glycerol tetraether (GDGT) compounds produced by marine archaeal communities show a significant dependence on the local sea surface temperature at the site of deposition. When preserved in ancient marine sediments, the measured abundances of these fossil lipid biomarkers thus have the potential to provide a geological record of long-term variability in planetary surface temperatures. Several empirical calibrations have been made between observed GDGT relative abundances in late Holocene core-top sediments and modern up

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Peták, Tomáš, and Eva Kureková. "New Methodology for Calibration of CNC Machines." International Journal of Engineering Research in Africa 18 (October 2015): 144–51. http://dx.doi.org/10.4028/www.scientific.net/jera.18.144.

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Modern production technology comprises automatic devices with numerically controlled driving axes in a large extent. Those devices – so called CNCs - are financially available not only to large factories but to small and medium enterprises as well. When selecting the CNC machine to be purchased, ratio between the financial aspects and the machine performance is evaluated very thoroughly. This brings a constant pressure on CNC machines producers who seek for modern approaches enhancing performance of their products. The following paper introduces some theoretical aspects dealing with the positi

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Zhao, Dan, Yunbo Bi, and Yinglin Ke. "A united kinematic calibration method for a dual-machine system." Assembly Automation 38, no. 2 (2018): 226–38. http://dx.doi.org/10.1108/aa-02-2017-029.

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Purpose This paper aims to propose a united kinematic calibration method for a dual-machine system in automatic drilling and riveting. The method takes both absolute and relative pose accuracy into account, which will largely influence the machining accuracy of the dual-machine system and assembly quality. Design/methodology/approach A comprehensive kinematic model of the dual-machine system is established by the superposition of sub-models with pose constraints, which involves base frame parameters, kinematic parameters and tool frame parameters. Based on the kinematic model and the actual po

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Kelly, Markelle, and Padhraic Smyth. "Variable-Based Calibration for Machine Learning Classifiers." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (2023): 8211–19. http://dx.doi.org/10.1609/aaai.v37i7.25991.

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The deployment of machine learning classifiers in high-stakes domains requires well-calibrated confidence scores for model predictions. In this paper we introduce the notion of variable-based calibration to characterize calibration properties of a model with respect to a variable of interest, generalizing traditional score-based metrics such as expected calibration error (ECE). In particular, we find that models with near-perfect ECE can exhibit significant miscalibration as a function of features of the data. We demonstrate this phenomenon both theoretically and in practice on multiple well-k

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Hou, Bo, Congpeng Zhang, and Shoubo Yang. "Computer Vision Tool-Setting System of Numerical Control Machine Tool." Sensors 20, no. 18 (2020): 5302. http://dx.doi.org/10.3390/s20185302.

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An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine was proposed on the basis of the theory of traditional vision system calibration. The coordinate mapping relationship of the image and the CNC machine, the tool-setting mark point on the workpie

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Shih, C. L., and C. W. Ruo. "Auto-calibration of an SMT machine by machine vision." International Journal of Advanced Manufacturing Technology 26, no. 3 (2004): 243–50. http://dx.doi.org/10.1007/s00170-003-1765-0.

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Igarashi, Hiroshi. "Human Adaptive Calibration for Machine Operation Without Awareness." Journal of Robotics and Mechatronics 20, no. 4 (2008): 595–601. http://dx.doi.org/10.20965/jrm.2008.p0595.

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Optimum human-machine operation is defined as when a operated machine with “human calculated dynamics model” coincides with its “machine dynamics.” Based on this definition, we propose calibration that brings the machine dynamics closer to the human-calculated machine model. Operators tend to learn dynamics without awareness during machine operation, so changes in machine dynamics appear to pose problems that both make operators uncomfortable and hinder their learning. We propose calibration for changes in machine dynamics without operator awareness, by quantifying perception based on cognitiv

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Lipus, L. C., B. Acko, and R. Klobucar. "Enhancing calibration accuracy with laser interferometry for high-resolution measuring systems." Advances in Production Engineering & Management 19, no. 3 (2024): 386–94. https://doi.org/10.14743/apem2024.3.514.

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This paper presents an analysis of the measurement capability of laser interferometry for calibrating high-resolution measuring systems, focusing on potential errors that need to be carefully controlled to ensure adequate metrological traceability. The primary scientific research focus of our National Dimensional Metrology Laboratory is the development of metrological applications for industry, with ongoing improvements in calibration procedures for measuring machines and tools. Through a review of possible error sources, an innovative approach to reducing the most significant factors is propo

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WU, CHUNG-LIN, and CHING-FEN TUAN. "FORCE CALIBRATION OF NANO UNIVERSAL TESTING MACHINE USING MILLIGRAM WEIGHTS." International Journal of Modern Physics: Conference Series 24 (January 2013): 1360031. http://dx.doi.org/10.1142/s2010194513600318.

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This paper presents an approach for calibrating the force transducer on the nano universal testing machine using milligram weights. Previous research on force calibration of such a system focused on the range from 10 mN to 200 mN, ignoring forces below 10 mN. The main purpose of this study is to analyze and calculate the uncertainty of force measurements within the range from 0.2 mN to 10 mN. The ABA calibration method in accordance with OIML R111-1 is adopted to determine the uncertainty in force measurement. The results indicate that the maximum relative uncertainty of force measurement is 7

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Asthana, Shubham Rohan. "Enhanced Camera Calibration for Machine Vision using OpenCV." IAES International Journal of Artificial Intelligence (IJ-AI) 3, no. 3 (2014): 136. http://dx.doi.org/10.11591/ijai.v3.i3.pp136-144.

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In several machine vision applications, a fundamental step is to precisely determine the relation between the image of the object and its physical dimension by performing a calibration process. The aim is to devise an enhanced mechanism for camera calibration in order to improve the already existing methods in OpenCV. A good calibration is important when we need to reconstruct a world model or interact with the world as in case of robot, hand-eye coordination. In order to meet the rising demands for higher accuracy various calibration techniques have been developed but they are unable in obtai

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Li, Peng, Ying Hu, and Zi Ma. "Calibration Method for On-Machine Composite Inspection of Machining Center." Advanced Materials Research 562-564 (August 2012): 1836–39. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1836.

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For overcoming the problems of traditional on-machine inspection only depended on the touch probe, an on-machine composite inspection plan of machining center is put forward, and its composition and work principle are introduced. Based on the non-contact and contact inspection principle, the composite measuring head is designed, by which the inspection for the workpiece with high efficiency can be achieved. Aim at inspecting the workpiece machined accurately, different inspection models must be built, and the calibration method for composite inspection is presented. Finally, experiment verific

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Vit, Jiri, and Martin Novak. "A Roundness Machine Measuring Probe Calibration." Manufacturing Technology 18, no. 6 (2018): 1053–59. http://dx.doi.org/10.21062/ujep/223.2018/a/1213-2489/mt/18/6/1053.

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Zhang, Yichao, Lakitha O. H. Wijeratne, Shawhin Talebi, and David J. Lary. "Machine Learning for Light Sensor Calibration." Sensors 21, no. 18 (2021): 6259. http://dx.doi.org/10.3390/s21186259.

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Sunlight incident on the Earth’s atmosphere is essential for life, and it is the driving force of a host of photo-chemical and environmental processes, such as the radiative heating of the atmosphere. We report the description and application of a physical methodology relative to how an ensemble of very low-cost sensors (with a total cost of <$20, less than 0.5% of the cost of the reference sensor) can be used to provide wavelength resolved irradiance spectra with a resolution of 1 nm between 360–780 nm by calibrating against a reference sensor using machine learning. These low-cost sensor

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SATO, Osamu, Gheorghe OLEA, Masahiko HIRAKI, and Kiyoshi TAKAMASU. "Calibration of Parallel Coordinate Measuring Machine." Journal of the Japan Society for Precision Engineering, Contributed Papers 70, no. 2 (2004): 214–18. http://dx.doi.org/10.2493/jspe.70.214.

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Postlethwaite, S. R., D. G. Ford, and D. Morton. "Dynamic calibration of CNC machine tools." International Journal of Machine Tools and Manufacture 37, no. 3 (1997): 287–94. http://dx.doi.org/10.1016/s0890-6955(96)00038-7.

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Poslethwaite, S. R., D. G. Ford, and D. Morton. "Dynamic calibration of CNC machine tools." Computer Standards & Interfaces 21, no. 2 (1999): 189. http://dx.doi.org/10.1016/s0920-5489(99)92265-1.

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Li, Xinghua, Guoxiong Zhang, Shugui Liu, et al. "A study on machine calibration techniques." CIRP Annals 62, no. 1 (2013): 499–502. http://dx.doi.org/10.1016/j.cirp.2013.03.014.

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Saenkhum, Nattapon, and Tassanai Sanponpute. "The improvement of an elastic hinge-type torque standard machine in NIMT." ACTA IMEKO 8, no. 3 (2019): 36. http://dx.doi.org/10.21014/acta_imeko.v8i3.668.

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<p class="Abstract" align="left">The National Institute of Metrology of Thailand’s (NIMT) strain-controlled elastic hinge-type torque standard machine was designed to cover a measuring range of 1 N·m to 1 kN·m. The elastic hinge was used both at the fulcrum and the hanger of the lever arms. The designed elastic hinge’s thickness, 0.50 mm, caused a higher stiffness than a sheet metal plate of other types of torque machines. The bending moment of all elastic hinges affected the sum of the torque signal on the lever arm that was used to observe the balancing of the lever. The residual torqu

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Eguren, Imanol, Gaizka Almandoz, Aritz Egea, Leire Elorza, and Ander Urdangarin. "Development of a Thermal Analysis Tool for Linear Machines." Applied Sciences 11, no. 13 (2021): 5818. http://dx.doi.org/10.3390/app11135818.

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The thermal design is one of the most important stages in the design process of electrical machines. Thanks to software packages, like Motor-CAD, rotating machine designers can predict the thermal operation of the machines with high precision. However, a Motor-CAD equivalent for linear machines does not exist. Thus, linear machine designers must develop specific thermal analysis tools when designing the machines. In this article, a generic thermal analysis tool for different kinds of linear machines is presented. The model has been designed in MATLAB Simulink. Hence, it should be easy to imple

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de Morais, César Augusto Galvão, Marilia da Silva Bertolini, and Benedito di Giacomo. "Modeling and Calibration of the Orthogonality Deviation between the "X" and "Y" Axes of Coordinate Measuring Machines." Applied Mechanics and Materials 875 (January 2018): 84–88. http://dx.doi.org/10.4028/www.scientific.net/amm.875.84.

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The increase of the quality in a productive process allows reduction of costs besides adding value to the product. When manufacturing a product within the tolerances specified in the design it is possible to obtain a correct operation of this product, ensuring the minimum time of use and with a lower risk of early failure. In this sense, machines and equipments involved in the manufacturing and inspection processes must also maintain an acceptable quality of operation by knowing the errors present in the machine structure through the calibration, such as errors due to lack of orthogonality bet

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Caja, Jesús, Emilio Gómez, Piera Maresca, and Miguel Berzal. "Uncertainty Estimation for the Optical System of Optical Measuring Machines." Key Engineering Materials 615 (June 2014): 95–101. http://dx.doi.org/10.4028/www.scientific.net/kem.615.95.

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This paper presents the problem of optical measuring machine calibration, emphasizing the calibration of the "optical system", omitting the calibration of the "machine system". The calibration of an optical measuring machine is the first step before using the instrument for any application. For this purpose, a mathematical model has been developed to transform the coordinates of a point in space (3D) into coordinates of a point in an image (2D). Using this camera model, a calibration procedure has been developed using a grid distortion pattern. Finally, a procedure for calculating the uncertai

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Liu, Ce, Chunyuan Zhao, Yubo Wang, and Haowei Wang. "Machine-Learning-Based Calibration of Temperature Sensors." Sensors 23, no. 17 (2023): 7347. http://dx.doi.org/10.3390/s23177347.

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Temperature sensors are widely used in industrial production and scientific research, and accurate temperature measurement is crucial for ensuring the quality and safety of production processes. To improve the accuracy and stability of temperature sensors, this paper proposed using an artificial neural network (ANN) model for calibration and explored the feasibility and effectiveness of using ANNs to calibrate temperature sensors. The experiment collected multiple sets of temperature data from standard temperature sensors in different environments and compared the calibration results of the AN

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Zhang, Yanjun, Jianxin zhao, and Heyong Han. "A 3D Machine Vision-Enabled Intelligent Robot Architecture." Mobile Information Systems 2021 (March 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/6617286.

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In this paper, the principle of camera imaging is studied, and the transformation model of camera calibration is analyzed. Based on Zhang Zhengyou’s camera calibration method, an automatic calibration method for monocular and binocular cameras is developed on a multichannel vision platform. The automatic calibration of camera parameters using human-machine interface of the host computer is realized. Based on the principle of binocular vision, a feasible three-dimensional positioning method for binocular target points is proposed and evaluated to provide binocular three-dimensional positioning

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MARSZALEC, ELZBIETA, and MATTI PIETIKÄINEN. "SOME ASPECTS OF RGB VISION AND ITS APPLICATIONS IN INDUSTRY." International Journal of Pattern Recognition and Artificial Intelligence 10, no. 01 (1996): 55–72. http://dx.doi.org/10.1142/s0218001496000062.

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RGB machine vision overlaps both colorimetry instrumentation and gray scale machine vision, and offers advantages over both. Proper calibration of the color camera which makes measurements independent of changes in illumination is essential for the reliability of color machine vision. A practical approach to on-line color camera calibration under unstable illumination conditions is presented and the performance of the procedure is evaluated. New potential applications of RGB machine vision are discussed from the perspective of physics-based vision and the calibration procedure developed here.

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Kemenyash, Yuriy, Volodymyr Khotsianivskyi, and Danylo Kuleshov. "MACHINE LEARNING IN THE TASK OF SELF-CALIBRATION OF MOVING ELEMENTS OF ROBOTIC SYSTEMS USING THE EXAMPLE OF CONTROLLING STEPPER MOTORS." Grail of Science, no. 26 (April 23, 2023): 203–7. http://dx.doi.org/10.36074/grail-of-science.14.04.2023.037.

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The paper discusses the use of machine learning for self-calibration of moving elements of robotic systems, particularly for controlling two stepper motors, as they are popular in robotics due to their accuracy and control over the angle of rotation. An algorithm for self-calibration is described, which uses machine learning to improve the accuracy of movement of stepper motors. An example is presented where the accuracy of movement of stepper motors, which were tuned using self-calibration based on machine learning, was compared. The proposed approach demonstrates that using machine learning

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Lin, Sheng, Ling Xuan Zhang, Ji Ming Shao, and Chong Feng Zhang. "Calibration Error Analysis for Six-Axis Force Sensor Used in Docking System." Applied Mechanics and Materials 716-717 (December 2014): 998–1001. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.998.

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The calibration error of a calibration machine will affect the precision of the six-axis force sensor directly. Aiming at the calibration machine with three force sources, calibration errors of the six-axis force sensor for docking system are analyzed to improve measurement precision. The loading position error and angle error of loading axis are researched on alternatively. The error in the calibration direction and the additional error in other directions are studied on. Analysis results will provide important reference for calibration of the six-axis force sensor.

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Ren, Yue Ying, Rui Wang, Shi Sheng Zhong, and Jian Min Wen. "Kinematic Calibration of Hybrid Machine Tool for Marine Propellers Processing." Applied Mechanics and Materials 602-605 (August 2014): 653–61. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.653.

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To increase the precision and the processing efficiency of large-scale marine propeller, the method of twin-tool symmetrical processing is proposed based on hybrid mechanism. With the introduction of mechanism compositions of the machine tool, the calibration method of the structural parameters is researched. The serial and parallel mechanisms of the hybrid mechanism are calibrated separately for the coupled motion. Their structural error models are established and identification methods of structural parameters are analyzed. And nonlinear equations are solved by using the Levenberg-Marquardt

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Honegger, Andrew, Shiv G. Kapoor, and Richard E. DeVor. "A Hybrid Methodology for Kinematic Calibration of Micro/Meso-Scale Machine Tools (mMTs)." Journal of Manufacturing Science and Engineering 128, no. 2 (2005): 513–22. http://dx.doi.org/10.1115/1.2162910.

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A trigger probe measurement system and measurement methodology are developed for kinematic self-calibration of micro/meso-scale machine tools (mMTs). The trigger probe detects the contact between a spindle-mounted stylus and a table-mounted planar artifact. The trigger probe system is small enough to be easily mounted on an mMT. The measurement methodology is divided into off-machine and on-machine measurements. The off-machine measurements are only needed for the first calibration. Recalibration requires only the on-machine measurements to be repeated, thereby reducing recalibration time. The

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