Готові списки джерел за темами / Quality of machine parts

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Добірка наукової літератури з теми "Quality of machine parts"

Автор: Grafiati

Опубліковано: 28 травня 2022

Оновлено: 31 липня 2025

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Статті в журналах з теми "Quality of machine parts"

Holesovsky, Frantisek, Martin Novák, Michal Lattner, and Tomas Vyslouzil. "Machining and its Influence to Surface Quality of Machine Parts." Key Engineering Materials 581 (October 2013): 354–59. http://dx.doi.org/10.4028/www.scientific.net/kem.581.354.

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A number of machine parts are provided with design notches for the mounting of lock ring, position of bearing, and cross over sub of diameters etc. These elements significantly affect the durability of machines parts and their influence is inherently implemented into their design. The question is machining itself, particularly ambient surface finishing and intrinsic notch element. The changes and behaviour of machined surface form also very interesting part of paper and particularly under load. A number of new findings concerning the influence of machining on durability of machine parts both u

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Chen, Ming Jun, Ying Chun Liang, Ya Zhou Sun, W. X. Guo, and Wen Jun Zong. "Research of the Technological Parameters Influencing on the Surface Quality of Micro Complex Surface." Key Engineering Materials 291-292 (August 2005): 513–18. http://dx.doi.org/10.4028/www.scientific.net/kem.291-292.513.

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In order to machine complex free surface parts, a micro NC (numerical control) three-dimensional machine tool is developed, integrated the PMAC control. Based on this NC machine tool, the influencing of the technological and tool’s parameters on machining accuracy of micro complex surface parts are analyzed, and the cause to lead to the machining errors is explained. Therefore, the cutting parameters and tool geometry parameters to machine micro complex surface, such as the human’s face, can be selected optimally. Finally, the micro complex human’s face is machined on this developed micro mach

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Bazrov, B. M., A. G. Suslov, O. V. Taratynov, and A. N. Shoev. "Quality of surface modules in machine parts." Russian Engineering Research 33, no. 11 (2013): 651–54. http://dx.doi.org/10.3103/s1068798x13110063.

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Rahman, M. A., Nur Atiqah Md Sadan, Mohammad Minhat, Halim Isa, and Abu Bakar Baharudin. "Investigation of Cutting Parameter and Machine Tool Vibration Effects Using Regression Analysis to Enhance Part Dimensional Accuracy." Applied Mechanics and Materials 761 (May 2015): 93–97. http://dx.doi.org/10.4028/www.scientific.net/amm.761.93.

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Dimensional accuracy plays important criteria in producing high quality machined parts. This is a big challenge to manufacturers of precision components to produce good quality parts with minimum manufacturing error. The focus of this paper is to study the influence of the machine tool rigidity and cutting parameters on dimensional accuracy in turning operation. A method was prepared for identifying the factors effecting dimensional accuracy in a turning process. Experimental setup involved computerized numerical control (CNC) lathe machine, with VBMT 160404 carbide insert and mild steel, as c

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Kusyi, Yaroslav, Vadym Stupnytskyy, Oleh Onysko, Egidijus Dragašius, Saulius Baskutis, and Rafal Chatys. "Optimization synthesis of technological parameters during manufacturing of the parts." Eksploatacja i Niezawodnosc - Maintenance and Reliability 24, no. 4 (2022): 655–67. http://dx.doi.org/10.17531/ein.2022.4.6.

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Technological ensuring the reliability of machine parts is realized by failing to reach the limited state of the elements of the technological system: machine – clamping device – metal-cutting tool-part. A method of optimization synthesis of parameters of technological processes of manufacturing machine parts has been developed. Testing the developed methodology, it was found that the metal cutting tool is Meanwhile, research has shown that metal cutting machine has the least influence on the formation of detailed quality-adjustable parameters from all the the weakest element of the technologi

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KATAEV, YURIY V. "METHOD OF ORGANIZING MAINTENANCE AND REPAIR OF AGRICULTURAL MACHINERY PARTS." Agricultural engineering, no. 5 (2022): 67–72. http://dx.doi.org/10.26897/2687-1149-2022-5-67-72.

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Increasing the performance of machines within their useful life necessitates modernizing maintenance and repair strategies. To develop a method for organizing maintenance and repair of machine parts aimed at improving the reliability of agricultural machinery, the authors carried out an analysis of the U-shaped form of the failure rate curve. Two types of post-warranty service were considered. The study showed that the failures of machine parts observed while operating are of two types: failures of the manufacturer (determined by the quality of design, manufacture and installation, and charact

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Woody, Bethany A., K. Scott Smith, Robert J. Hocken, and Jimmie A. Miller. "A Technique for Enhancing Machine Tool Accuracy by Transferring the Metrology Reference From the Machine Tool to the Workpiece." Journal of Manufacturing Science and Engineering 129, no. 3 (2006): 636–43. http://dx.doi.org/10.1115/1.2716718.

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High-speed machining (HSM) has had a large impact on the design and fabrication of aerospace parts and HSM techniques have been used to improve the quality of conventionally machined parts as well. Initially, the trend toward HSM of monolithic parts was focused on small parts, where existing machine tools have sufficient precision to machine the required features. But, as the technology continues to progress, the scale of monolithic parts has continued to grow. However, the growth of such parts has become limited by the inability of existing machines to achieve the tolerances required for asse

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Chen, Mingzhang, Xinfei Ning, Zijian Zhou, et al. "LMS/RLS/OCTAVE Vibration Controls of Cold Orbital Forging Machines for Improving Quality of Forged Vehicle Parts." World Electric Vehicle Journal 13, no. 5 (2022): 76. http://dx.doi.org/10.3390/wevj13050076.

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Cold orbital forging (COF) as an advanced incremental metal-forming technology has been widely used in processing vehicle parts. During the COF process, the vibration on the COF machine injures the service life of the machine and the quality of the forged part. The study of the vibration control of the COF machine is therefore necessary. In this study, the dynamic model of the COF machine is established, and the vibration performances of some key positions are obtained using Matlab&Simulink software. Subsequently, the vibration performances are effectively verified by conducting a vibratio

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Song, Jin Hu. "Development of Special Automatic Welding Machine for Adaptor Flange of Tubular Parts and Cylindrical Parts." Advanced Materials Research 490-495 (March 2012): 283–87. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.283.

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In general, flange is fixedly connected with tubular parts or cylindrical parts through manual welding. For high labor intensity, low efficiency and poor welding quality of manual welding, a special automatic welding machine for adaptor flange of tubular parts or cylindrical parts is developed. It mainly consists of machine frame, rotary worktable, swing arm, sliding shelf, wire feeder, drive unit, control cabinet and welding torch. The welding machine has two rotary worktables controlled by PLC. With the advantages of simple structure, low production cost, high welding speed, good welding qua

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Frumuşanu, Gabriel, and Alexandru Epureanu. "Tolerance Design for Optimal Dimensional Quality of Machine Parts." Applied Mechanics and Materials 841 (June 2016): 65–71. http://dx.doi.org/10.4028/www.scientific.net/amm.841.65.

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The mechanical systems consist of assembled parts, between which diverse interactions take place. Tolerance analysis purpose is to study the effects of part geometric deviations on assembly functional requirements. In the current approaches from this field, the part geometrical deviations are toleranced without considering the evolution of the geometrical deviations during product exploitation. As consequence, between two parts identical as type but with different values of their geometrical features, inside the designed tolerance zones, any difference is made despite they might have significa

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Дисертації з теми "Quality of machine parts"

Hsieh, Kuang-Han. "Part geometry for advanced quality control and process monitoring /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842539.

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Zenkin, M. "Monitoring the quality of the surface layer of details replaced by different methods of hardening." Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/9741.

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Ji, Qiang. "A three dimensional computer vision system for inspecting the geometric tolerances of circular machine features /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/5953.

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Fiala, John C. "Computer representations of machined parts for automatic inspection." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/76033.

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A comparison is made between octrees, which are regular decompositions of volumes, and new, irregular decompositions called R-trees. This comparison is made within the context of the volume intersection problems that might be associated with an automatic inspection system. The results show that the irregular decomposition is independent of object position and can provide a more space efficient encoding for certain shapes. However, detecting intersections between R-trees requires an algorithm of greater complexity due to the irregularity of the decomposition. Algorithms are given for obtainin

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MELO, JOSE A. T. "Projeto e montagem de equipamento para controle de sistema de análise não destrutiva usando radiação nuclear." reponame:Repositório Institucional do IPEN, 2006. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11471.

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Made available in DSpace on 2014-10-09T12:52:16Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:00:37Z (GMT). No. of bitstreams: 0<br>Dissertacao (Mestrado)<br>IPEN/D<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP

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FITTI, Matteo. "Non-contact smart measurement systems for in-line quality control of precision turned parts." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274500.

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Questa tesi è il risultato del lavoro svolto nell'ambito del progetto europeo H2020 GO0D MAN e intende essere un contributo alla realizzazione del paradigma dell' Industry 4.0. In particolare, riguarda lo sviluppo di sistemi intelligenti di controllo qualità in linea. Il lavoro presenta lo sviluppo di due sistemi: a) un sistema di misura automatizzato basato su un sensore cromatico confocale per controllare le dimensioni dei componenti metallici torniti e b) un sistema di controllo automatizzato basato su visione artificiale per verificare la presenza di bave dovute al processo di foratura su

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Norrell, Jeffery Lee. "A mixed mode thermal/fluids model for improvements in SLS part quality, machine design, and process design /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Ahmadniaye, Bosari Benyamin. "Reliable training scenarios for dealing with minimal parallel-resource language pairs in statistical machine translation." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/461204.

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La tesis trata sobre sistemas de traducción automática estadística (SMT) de alta calidad, para trabajar con pares de lenguajes con recursos paralelos mínimos, titulado “Reliable Training Scenarios for Dealing with Minimal Parallel-Resource Language Pairs in Statistical Machine Translation”. El desafío principal que abordamos en nuestro enfoque es la carencia de datos paralelos y este se enfrenta en diferentes escenarios. SMT es uno de los enfoques preferidos para traducción automática (MT), y se podrían detectar varias mejoras en este enfoque, específicamente en la calidad de salida en una se

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Внуков, Ю. Н., та Д. Н. Степанов. "Шероховатость поверхностей титановых образцов после обработки полимерно-абразивным инструментом". Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/11261.

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Smirnova, Tatiana. "Dynamic Analysis and Modeling of Machine Tool Parts." Licentiate thesis, Karlskrona : Department of Signal Processing, School of Engineering, Blekinge Institute of Technology, 2008. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/8628d01b6722765cc12573e70044bfd2?OpenDocument.

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Книги з теми "Quality of machine parts"

Lebedev, Valeriy, Galina Prokopec, Yuriy Korol'kov, and Antonina Shishkina. Technological assurance of surface quality and operational properties of machine parts. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1900534.

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The textbook considers a set of issues related to ensuring the quality of the surface and operational properties of machine parts at the stage of technological preparation of production. The role and importance of technological preparation of production in ensuring the life cycle of products are shown. The characteristic of the operational properties of machine parts is given, the physical essence of the processes and phenomena occurring in the surface layer of parts during their operation is revealed. The interrelation of the operational properties of machine parts with the surface quality is

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Belva, Martin, ed. Defense supplier base: DOD should leverage ongoing initiatives in developing its program to mitigate risk of counterfeit parts : report to congressional requesters. U.S. Govt. Accountability Office, 2010.

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Ovtov, Vladimir. Machine parts. Course design. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1171976.

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The textbook discusses the methodology of course design of general-purpose drives with a single-stage gearbox (cylindrical, conical and worm) and a V-belt or chain transmission. The procedure for calculating gears and constructing assembly drawings of gearboxes is shown, the development of specifications using the COMPASS-3D computer-aided design system is described. Examples of the design of drawings of the general type of the drive, assembly drawings of gearboxes and working drawings of parts of various types of gearboxes are given. Meets the requirements of the federal state education

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Maksimovich, Severnev Mikhail, ed. Wear of agricultural machine parts. Balkema, 1985.

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Deere & Company., ed. Identification of parts failures. 4th ed. Deere & Company, 1991.

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Kongsa, Taehan Muyŏk Chinhŭng, ed. Korean parts directory. Korea Trade Promotion Corp., 1986.

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Marshek, Kurt M. Design of machine and structural parts. Wiley, 1987.

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Kubicki, Boguslaw. Sintered machine elements. Ellis Horwood, 1995.

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Vladimir, Torbilo, ed. Fatigue design: Life expectancy of machine parts. CRC Press, 1996.

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Xu, Long, Weisi Lin, and C. C. Jay Kuo. Visual Quality Assessment by Machine Learning. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-468-9.

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Частини книг з теми "Quality of machine parts"

Prokopets, Galina, Anatoly Prokopets, and Svetlana Vozhakova. "Technological System Reliability as the Basis for Quality Indicators Stability Produced Machine Parts." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11051-1_157.

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Ogorodnyk, Olga, Ole Vidar Lyngstad, Mats Larsen, Kesheng Wang, and Kristian Martinsen. "Application of Machine Learning Methods for Prediction of Parts Quality in Thermoplastics Injection Molding." In Advanced Manufacturing and Automation VIII. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2375-1_30.

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Mínguez-Martínez, Alberto, Gonzalo Quirós-Torres, Fernando Ramos-González, and Jesús de Vicente y Oliva. "Determination of Calibration Corrections and Study of the Reproducibility of a 3D Printer." In Proceedings of the XV Ibero-American Congress of Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38563-6_55.

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AbstractAdditive manufacturing technologies, among which is 3D printing, is one of the fundamental pillars of industry 4.0, since it allows to obtain prototypes and manufactured parts in a fast, versatile and economical way. To ensure the quality of production, it is necessary that all parts obtained through any manufacturing process meet the specifications of the design. However, it is not enough for a certain part to meet the dimensional design specifications, but most parts manufactured on the same machine must do so. This paper proposes two pattern models to study the reproducibility and f

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Schmedemann, Ole, Maximilian Miotke, Falko Kähler, and Thorsten Schüppstuhl. "Deep Anomaly Detection for Endoscopic Inspection of Cast Iron Parts." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_9.

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AbstractDetecting anomalies in image data plays a key role in automated industrial quality control. For this purpose, machine learning methods have proven useful for image processing tasks. However, supervised machine learning methods are highly dependent on the data with which they have been trained. In industrial environments data of defective samples are rare. In addition, the available data are often biased towards specific types, shapes, sizes, and locations of defects. On the contrary, one-class classification (OCC) methods can solely be trained with normal data which are usually easy to

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Silvestri, Marco, Michele Banfi, Andrea Bettoni, Matteo Confalonieri, Andrea Ferrario, and Moreno Floris. "Use of Laser Scanners in Machine Tools to Implement Freeform Parts Machining and Quality Control." In Advances in Neural Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33747-0_52.

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Steffens, Jasper, Robin Kühnast-Benedikt, Florian Leber, Philipp Rosenberg, and Frank Henning. "Deploying Machine Learning in High Pressure Resin Transfer Molding and Part Post Processing: A Case Study." In Machine Learning for Cyber-Physical Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47062-2_4.

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AbstractHigh pressure resin transfer molding (HP-RTM) is well suited to medium volume automated production of composites. The process complexities of HP-RTM however often make its application insular. Data is not carried forward along the production chain and process reliability is assessed as a unified indicator with minimal granular consideration of individual contributing factors. Cause and effect relationships spanning the process chain remain undetected. Predator (10/2020–09/2023) is an ongoing Eurostars project aiming to bridge this divide by developing an intelligent data processing sys

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Irgens, C. "A Feature Based KBS for Quality Prediction of Machined Parts and Products." In Computer Integrated Manufacturing. Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-3257-8_34.

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Aouad, Razika, and Idriss Amara. "Study Contribution of Surface Quality Parts Machined by Turning Using Hard Materials." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41468-3_23.

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Zhang, S., Z. Chen, K. Granland, Y. Tang, and C. Chen. "Machine Vision-Based Scanning Strategy for Defect Detection in Post-Additive Manufacturing." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_28.

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AbstractThe surge in 3D printer availability, and its applications over the past decade as an alternative to industry-standard subtractive manufacturing, has revealed a lack of post-manufacturing quality control. Developers have looked towards automated machine learning (ML) and machine-vision algorithms, which can be effective in developing such additive manufacturing (AM) technologies for industry-wide adoption. Currently, most research has explored in-situ monitoring methods, which aim to detect printing errors during manufacturing. A significant limitation is the single, fixed monitoring a

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Sastoque-Pinilla, Leonardo, Ander del Olmo, Endika Tapia, Unai López-Novoa, and Luis Norberto López de Lacalle. "Feasibility Analysis of Carbide Broaching Tools in the Machining of Inconel 718." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77429-4_66.

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AbstractBroaching is a highly efficient process for producing high-quality parts with precise dimensions. However, process efficiency alone does not guarantee sustainability. To address this, several key factors need to be considered, including process parameters, machine configuration, material and design of the workpiece, and tool characteristics. Several studies have focused on investigating the sustainability of the broaching process and its environmental impact, but the broaching tool has been less studied, even though it determines the geometric and sur-face quality of the broached groov

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Тези доповідей конференцій з теми "Quality of machine parts"

Pradeepa, G., and S. Kanthalakshmi. "Efficient Quality Control through Machine Vision-Based Dimension Inspection of Machined Parts." In 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). IEEE, 2025. https://doi.org/10.1109/iccies63851.2025.11032887.

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Evseev, Dmitriy G., Boris M. Medvedev, Philipp B. Medvedev, Andrey A. Homenko, and Mikhail Yu Kulikov. "Acoustic Emission Technique for Machine Parts Quality Control." In 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). IEEE, 2021. http://dx.doi.org/10.1109/itqmis53292.2021.9642864.

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Qian, Wuyang, Lucas Eastlund, Matthew Percival, Suhao Chen, and Lin Guo. "Machine Learning-Based Quality Control For 3D-Printed Parts." In 1st World Congress on Industrial Engineering and Operations Management. IEOM Society International, 2024. https://doi.org/10.46254/wc01.20240111.

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Xiao, Qixun, Shengquan Liang, and Jingde Huang. "Quality inspection system for metal parts based on machine vision." In Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), edited by Kannimuthu Subramaniyam. SPIE, 2022. http://dx.doi.org/10.1117/12.2659356.

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Artemov, Igor I., Vladimir D. Krevchik, Sergey V. Kochkin, Alexey V. Sokolov, Nikolay P. Simonov, and Natalya E. Artemova. "Measurement and Quality Control of a Nanomodified Surface Layer of Machine Parts." In 2020 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). IEEE, 2020. http://dx.doi.org/10.1109/itqmis51053.2020.9322802.

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Ispas, V., A. Hordoan, and M. Steopan. "Machine tool for lamellar forming of sheet metal parts for heat exchangers - MFAH 260." In 2008 IEEE International Conference on Automation, Quality and Testing, Robotics. IEEE, 2008. http://dx.doi.org/10.1109/aqtr.2008.4588925.

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Loftis, Jonathan, Saeed Farahani, and Srikanth Pilla. "Online Quality Monitoring of Plastic Parts Using Real-Time Data From an Injection Molding Machine." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8469.

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Abstract Every day-increasing connectivity and access to data can provide valuable insight to the plastics industry. While the amount of accessible data has been increasing, the means to process and store it efficiently while squeezing valuable process information out of it has not been prioritized. The increase in connectivity has led to much of this data being stored and used in cloud computing systems which can be both monetarily and computationally expensive. Motivated by this fact, the feasibility of using real-time data directly captured from injection molding machine is investigated in

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Kwon, Yongjin. "Accuracy Analysis of Machining Process Using a Spindle Probe and a CMM to Reduce the Scrap." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81015.

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In-process part inspection using a spindle touch probe has gained a significant importance, mainly because parts can remain on the machine without disrupting the machine setup while inspection is being conducted. This practice leads to a shorter inspection time, improved part accuracies, and reduction of scraps. Recently, intense domestic and international competition has put more importance on part quality in terms of producing parts right the first time and maintaining the consistent quality standards. A literature review revealed that a comparative analysis between in-process gauging using

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Živković, Srđan, Slobodan Malbašić, and Miloš Stepanović. "Coordinate metrology data management of machine parts made by metal additive manufacturing." In 11th International Scientific Conference on Defensive Technologies - OTEX 2024. Military Technical Institute, Belgrade, 2024. http://dx.doi.org/10.5937/oteh24117z.

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The rapid development of Additive Manufacturing (AM) technologies has further highlighted the importance of coordinate metrology in the entire production process. AM often equivalent with reverse engineering (RE) and rapid prototyping (RP) in which the role of coordinate metrology is crucial. All AM technologies require (more or less) machine finishing operations, so coordinate metrology play key-role to production quality management. The paper will present two cases from practice: The first example is RE of the individual machine part that requires a higher scope of machining after production

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Albuquerque, V. A., F. W. Liou, S. Agarwal, and O. R. Mitchell. "Automatic Coordinate Measuring Machine Inspection." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8700.

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Abstract In many industrial applications, such as product prototype development, automation of inspection process can greatly improve product quality and product development cycle, time. This paper discusses a development of a vision aided automatic inspection using Coordinate Measuring Machine (CMM). We seek to integrate the flexibility afforded by computer vision systems with the precision of numerically controlled coordinate measuring machines to achieve a fully automatic and reliable inspection of the industrial parts. The 3-D design information and part specification from computer-aided d

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Звіти організацій з теми "Quality of machine parts"

Zhao, Xiayun, Albert To, and Richard Neu. An Effective Quality Assurance Method for Additively Manufactured Gas Turbine Metallic Components via Machine Learning from In-Situ Monitoring, Part-scale Modeling, and Ex-Situ Characterization Data. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2335479.

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Moorehead, Stewart. Unsettled Issues Regarding the Commercialization of Autonomous Agricultural Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/epr2022003.

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Autonomous agricultural vehicles are entering the marketplace, performing jobs that current equipment cannot do or are too dangerous for humans to perform. They offer the prospect of greater farm productivity, and they will help to feed the world’s growing population. This report looks at several topics that impact the commercial success of autonomous agricultural vehicles. The economic benefit that an autonomous system brings to a farm will be discussed alongside machine utilization rates, job quality, and labor savings. The need for standards and regulations to help promote the development o

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Feng, Zhili, Wei Zhang, Dali Wang, Jian Chen, and Keerti Kappagantula. Machine Learning for Joint Quality Control. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2448165.

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Ling, Alice V., and Neil D. Wilkin. Fast probing considerations for on-machine inspection of parts. National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6415.

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Hobbs, Abigail, and Sarah Kelso. [PILOT] Herpetological Monitoring Surveys for the Southeast Coast Network: 2009-2010 - Data Release Report. National Park Service, 2025. https://doi.org/10.36967/2303227.

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Data Release Reports (DRR) are created by the National Park Service and provide detailed descriptions of valuable research datasets in a human-readable format, including the methods used to collect the data and technical analyses supporting the quality of the measurements. DRRs focus on helping others reuse data rather than presenting results, testing hypotheses, or presenting new interpretations and in-depth analyses. Pilot herpetological surveys were conducted in Cape Hatteras National Seashore, Cape Lookout National Seashore, Canaveral National Seashore, Congaree National Park, Cumberland I

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Jääskeläinen, Emmihenna. Construction of reliable albedo time series. Finnish Meteorological Institute, 2023. http://dx.doi.org/10.35614/isbn.9789523361782.

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A reliable satellite-based black-sky albedo time series is a crucial part of detecting changes in the climate. This thesis studies the solutions to several uncertainties impairing the quality of the black-sky albedo time series. These solutions include creating a long dynamic aerosol optical depth time series for enhancing the removal of atmospheric effects, a method to fill missing data to improve spatial and temporal coverage, and creating a function to correctly model the diurnal variation of melting snow albedo. Mathematical methods are the center pieces of the solutions found in this thes

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Ron, Alexa. Pilot Terrestrial Vegetation Monitoring in the Southeastern United States, 2009-2010 - Data Release Report. National Park Service, 2025. https://doi.org/10.36967/2303058.

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Data Release Reports (DRR) are created by the National Park Service and provide detailed descriptions of valuable research datasets in a human-readable format, including the methods used to collect the data and technical analyses supporting the quality of the measurements. DRRs focus on helping others reuse data rather than presenting results, testing hypotheses, or presenting new interpretations and in-depth analyses. Pilot terrestrial vegetation monitoring occurred in eleven Southeast Coast Network (SECN) parks in 2009 and 2010 and evaluated trends in plant cover, frequency, diversity and di

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Fidalgo Rodriguez, Guillermo A. Using Machine Learning Techniques for Data Quality Monitoring. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1477990.

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Sankhye, Sidharth. Machine Learning Methods for Quality Prediction in Manufacturing Inspection. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-975.

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Feng, Zhili, Wei Zhang, Dali Wang, Jian Chen, Hassan Ghassemi-Armaki, and Blair Carlson. MACHINE LEARNING FOR AUTOMATED WELD QUALITY MONITORING AND CONTROL. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2557429.

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