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Relevant bibliographies by topics / Machine tool. Mechanical wear

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Academic literature on the topic 'Machine tool. Mechanical wear'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Machine tool. Mechanical wear"

1

Zhao, Guoyong, Yu Su, Guangming Zheng, Yugang Zhao, and Chunxiao Li. "Tool tip cutting specific energy prediction model and the influence of machining parameters and tool wear in milling." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 10 (2020): 1346–54. http://dx.doi.org/10.1177/0954405420911298.

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Most of the existing energy-consumption models of machine tools are related to specific machine components and hence cannot be applied to other machine tools with different specifications. In order to help operators optimize machining parameters for improving energy efficiency, the tool tip cutting specific energy prediction model based on machining parameters and tool wear in milling is developed, which is independent of the standby power of machine tools and the spindle no-load power. Then, the prediction accuracy of the proposed model is verified with dry milling AISI 1045 steel experiments

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Ford, DG, A. Myers, F. Haase, S. Lockwood, and A. Longstaff. "Active vibration control for a CNC milling machine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 2 (2013): 230–45. http://dx.doi.org/10.1177/0954406213484224.

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There is a requirement for improved three-dimensional surface characterisation and reduced tool wear when modern computer numerical control (CNC) machine tools are operating at high cutting velocities, spindle speeds and feed rates. For large depths of cut and large material removal rates, there is a tendency for machines to chatter caused by self-excited vibration in the machine tools leading to precision errors, poor surface finish quality, tool wear and possible machine damage. This study illustrates a method for improving machine tool performance by understanding and adaptively controlling

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Postnov, V. V., Yu V. Idrisova, and S. I. Fetsak. "Influence of machine-tool dynamics on the tool wear." Russian Engineering Research 35, no. 12 (2015): 936–40. http://dx.doi.org/10.3103/s1068798x15120163.

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Ji, Ren Jie, Yong Hong Liu, Chao Zheng, Fei Wang, and Yan Zhen Zhang. "Design of the Tool for End Electrical Discharge Milling and Mechanical Grinding Compound Machining of Engineering Ceramics." Advanced Materials Research 664 (February 2013): 806–10. http://dx.doi.org/10.4028/www.scientific.net/amr.664.806.

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Advanced engineering ceramics have been widely used in modern industry due to their excellent physical and chemical properties. However, they are difficult to machine due to their high hardness and brittleness. End electrical discharge milling and mechanical grinding compound machining method is employed to machine SiC ceramic in this paper. The process is able to effectively machine a large surface area on SiC ceramic. Furthermore, the tool for the compound machining of SiC ceramic is designed based on the goal of the higher material removal rate, the lower tool wear, and the better machined

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Cheng, Wen-Nan, Chih-Chun Cheng, Yao-Hsuan Lei, and Ping-Chun Tsai. "Feature selection for predicting tool wear of machine tools." International Journal of Advanced Manufacturing Technology 111, no. 5-6 (2020): 1483–501. http://dx.doi.org/10.1007/s00170-020-06129-5.

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Kong, Dongdong, Yongjie Chen, Ning Li, Chaoqun Duan, Lixin Lu, and Dongxing Chen. "Relevance vector machine for tool wear prediction." Mechanical Systems and Signal Processing 127 (July 2019): 573–94. http://dx.doi.org/10.1016/j.ymssp.2019.03.023.

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Laddada, Soufiane, Med Ouali Si-Chaib, Tarak Benkedjouh, and Redouane Drai. "Tool wear condition monitoring based on wavelet transform and improved extreme learning machine." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 5 (2019): 1057–68. http://dx.doi.org/10.1177/0954406219888544.

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In machining process, tool wear is an inevitable consequence which progresses rapidly leading to a catastrophic failure of the system and accidents. Moreover, machinery failure has become more costly and has undesirable consequences on the availability and the productivity. Consequently, developing a robust approach for monitoring tool wear condition is needed to get accurate product dimensions with high quality surface and reduced stopping time of machines. Prognostics and health management has become one of the most challenging aspects for monitoring the wear condition of cutting tools. This

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Khan, Muhammad Ali, Ahmed Farooq Cheema, Sohaib Zia Khan, and Shafiq-ur-Rehman Qureshi. "Image based portable wear debris analysis tool." Industrial Lubrication and Tribology 67, no. 4 (2015): 389–98. http://dx.doi.org/10.1108/ilt-11-2014-0127.

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Purpose – The purpose of this paper is to show the development of an image processing-based portable equipment for an automatic wear debris analysis. It can analyze both the qualitative and quantitative features of machine wear debris: size, quantity, size distribution, shape, surface texture and material composition via color. Design/methodology/approach – It comprises hardware and software components which can take debris in near real-time from a machine oil sump and process it for features diagnosis. This processing provides the information of the basic features on the user screen which can

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Xun, Li, Wang Ziming, Yang Shenliang, Guo Zhiyuan, Zhou Yongxin, and Han Kangning. "Influence of turning tool wear on the surface integrity and anti-fatigue behavior of Ti1023." Advances in Mechanical Engineering 13, no. 4 (2021): 168781402110112. http://dx.doi.org/10.1177/16878140211011278.

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Titanium alloy Ti1023 is a typical difficult-to-cut material. Tool wear is easy to occur in machining Ti1023, which has a significant negative effect on surface integrity. Turning is one of the common methods to machine Ti1023 parts and machined surface integrity has a direct influence on the fatigue life of parts. To control surface integrity and improve anti-fatigue behavior of Ti1023 parts, it has an important significance to study the influence of tool wear on the surface integrity and fatigue life of Ti1023 in turning. Therefore, the effect of tool wear on the surface roughness, microhard

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Kong, Dongdong, Yongjie Chen, and Ning Li. "Monitoring tool wear using wavelet package decomposition and a novel gravitational search algorithm–least square support vector machine model." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 3 (2019): 822–36. http://dx.doi.org/10.1177/0954406219887318.

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Monitoring tool wear has drawn much attention recently since tool failure will make it hard to guarantee the surface integrity of workpieces and the stability of manufacturing process. In this paper, the integrated approach that combines wavelet package decomposition, least square support vector machine, and the gravitational search algorithm is proposed for monitoring the tool wear in turning process. Firstly, the wavelet package decomposition is utilized to decompose the original cutting force signals into multiple sub-bands. Root mean square of the wavelet packet coefficients in each sub-ba

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Dissertations / Theses on the topic "Machine tool. Mechanical wear"

1

Fish, Randall K. "Dynamic models of machining vibrations, designed for classification of tool wear /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/6033.

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Dawson, Ty Grant. "Effects of cutting parameters and tool wear in hard turning." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/17816.

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Cooper, Clayton Alan. "Milling Tool Condition Monitoring Using Acoustic Signals and Machine Learning." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1575539872711423.

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Li, Kuan-Ming. "Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-05122006-143200/.

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Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2007.<br>Dr. Liang, Steven Y., Committee Chair ; Dr. Melkote, Shreyes N., Committee Member ; Dr. Vengazhiyil, Roshan Joseph, Committee Member ; Dr. Zhou, Chen, Committee Member ; Dr. Zhou, Min, Committee Member.

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Taylor, Matthew H. "Defining a Model for Tool Consumption Rate on Asphalt Reclamation Machines." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1293.

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Asphalt and concrete reclamation machines are used to cut roadways when a repair is required. The performance of these machines can affect the quality of road repairs, and cost/profitability for both contractors and governments. We believe that several performance characteristics in reclamation machines are governed by the placement and pattern of cutting picks on the cutter head. Previous studies, focused on mining and excavation applications, have shown strong correlation between placement and wear. The following study employs a screening experiment (observational study) to find significant

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Babu, Sailesh. "A material based approach to creating wear resistant surfaces for hot forging." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1101836555.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xxii, 185 p.; also includes graphics (some col.). Includes bibliographical references (p. 178-185).

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Cardoso, Marlon José. "Análise do processo de furação profunda no aço SAE 4144M endurecido utilizando MQL e broca helicoidal revestida." Universidade Tecnológica Federal do Paraná, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/877.

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Os processos de furação são largamente utilizados na indústria metal mecânica, envolvendo grande complexidade para profundidades maiores que cinco vezes o diâmetro. Para estes casos é necessário o emprego de máquinas, ferramentas especiais e fluidos lubri-refrigerantes pressurizados, com propriedades que atendam as solicitações severas do corte e auxiliem no transporte e remoção dos cavacos durante o processo. Esta complexidade aumenta os custos do processo, o impacto ambiental e os riscos a saúde do operador. O propósito deste estudo é analisar o processo de furação profunda com broca helicoi

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Jisheng, E. "Sliding wear of materials for machine tool elements." Thesis, Brunel University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295201.

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Hochmuth, Carsten Alexander. "Rapid machine tool design." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9373.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.<br>Includes bibliographical references (p. 206-208).<br>Rapid Machine Tool Design encompasses new materials and manufacturing and design processes that increase the speed and flexibility of the machine tool development process. Rapid design implies increased concurrency and overlap of design process steps, and it allows a quick and efficient response to market opportunities for new types of components or machinery. Rapid manufacturing implies use of new materials with reduced lead times for tooling an

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Wasson, Kevin L. (Kevin Lee). "Hydrostatic machine tool spindles." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/41029.

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Includes bibliographical references (p. 300-301).<br>Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.<br>This work investigates the application of hydrostatic bearings, particularly those of the self-compensating type, to precision machine tool spindles. First, relations are developed that can be used to calculate the hydraulic resistances of various bearing land flows in tilted and untilted orientations. These relations are then applied to predicting the load carrying characteristics of several different types of hydrostatic bearings. The bearing c

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Books on the topic "Machine tool. Mechanical wear"

1

Engineering design for wear. 2nd ed. M. Dekker, 2004.

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Mario, Rapisarda, and Check Albert F, eds. Machine tool and manufacturing technology. Delmar Publishers, 1998.

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3

Ikramov, Utkur. Raschetnye metody ot͡s︡enki abrazivnogo iznosa. "Mashinostroenie", 1987.

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4

Sobolev, N. I. Plastinirovanie detaleĭ mashin. "Mashinostroenie," Leningradskoe otd-nie, 1987.

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5

Stone tool use at Cerros: The ethnoarchaeological and use-wear evidence. University of Texas Press, 1987.

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6

Knutsson, Kjel. Patterns of tool use: Scanning electron microscopy of experiental quartz tools. Societas Archaeologica Upsaliensis, 1988.

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7

S, Nayak Nagaraj, ed. Critical component wear in heavy duty engines. Wiley, 2011.

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Shili͡aev, A. S. Ulʹtrazvukovai͡a obrabotka rasplavov pri proizvodstve i vosstanovlenii detaleĭ mashin. "Navuka i tėkhnika", 1992.

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Vlasov, V. M. Rabotosposobnostʹ uprochnennykh trushchikhsi͡a︡ poverkhnosteĭ. "Mashinostroenie", 1987.

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Budzyński, Piotr. Problematyka tarcia i zużycia tworzyw metalowych implantowanych jonowo w technologii maszyn. Wydawnictwo Politechniki Lubelskiej, 2010.

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Book chapters on the topic "Machine tool. Mechanical wear"

1

Patel, Zeel Bharatkumar, and Sreekumar Muthuswamy. "A Machine Learning Scheme for Tool Wear Monitoring and Replacement in IoT-Enabled Smart Manufacturing." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2696-1_43.

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Biermann, D., J. F. Felderhoff, and M. Heilmann. "The Correlation of Thermo-Mechanical Stresses on Cutting Tool Wear." In Friction, Wear and Wear Protection. Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527628513.ch95.

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Hascoët, J. Y., F. Bennis, and Ph Risacher. "Choice of Machine Tool Configuration." In Integrated Design and Manufacturing in Mechanical Engineering. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5588-5_38.

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Pan, Chao, Xiaoshan Gu, Mulan Wang, and Baosheng Wang. "Analysis of Tool Wear and Wear Mechanism in Dry Forming Milling for Rail Milling Train." In Advances in Mechanical Design. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9941-2_42.

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Arun Premnath, A., T. Alwarsamy, and T. Abhinav. "Statistical Analysis of Tool Wear Using RSM and ANN." In Lecture Notes in Mechanical Engineering. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-1007-8_27.

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Rastegari, Ali. "Vibration Analysis of Machine Tool Spindle Units." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95711-1_51.

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Semenov, Yuri А., and Nadezhda S. Semenova. "Analysis of Machine Tool Installation on the Base." In Advances in Mechanical Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53363-6_11.

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Constantin, George. "Dynamic Definition of Machine Tool Feed Drive Models in Advanced Machine Tools." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89563-5_9.

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Vinayagamoorthy, R., and M. Anthony Xavior. "Investigation of Chip Morphology and Tool Wear in Precision Turning Process." In Lecture Notes in Mechanical Engineering. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-1007-8_21.

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Dunaj, Paweł, Stefan Berczyński, and Michał Dolata. "Modelling Machine Tool Rocking Vibrations Using Reduced Order Models." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04975-1_22.

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Conference papers on the topic "Machine tool. Mechanical wear"

1

Hamade, R. F., and A. H. Ammouri. "Current Rise Index (CRI) Maps of Machine Tool Motors for Tool-Wear Prognostic." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64706.

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Quantitative polar maps of tool-wear of cutting tools (here, chisel drills) undergoing dry machining are charted based only on transducers reporting electrical current measurements from machine (spindle and feed drives) motors. Associated with these maps are qualitative descriptions of the various modes of tool-wear afflicting the drill tools. These tool-wear maps are based a novel wear criterion developed here that relies on the % increase in motor (spindle and feed drive motors) RMS current values and is dubbed the Current Rise Index (CRI). For verification in a drilling operation applicatio

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Srinivas, J., Rao Dukkipati, V. Sreebalaji, and K. Ramakotaih. "Tool-Wear Monitoring and Control." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80799.

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This paper presents, a control methodology based on experimental data of the tool wear as a function of cutting variables. In automatic machine tools there is strong need to control the tool wear by adjustment of the cutting parameters. In this connection, a control system, which can adjust the cutting parameters for a desired wear rate, is necessary. A regression relation is also established between the flank-wear and the cutting parameters. An inversely trained neural network model, which supplies the modified values of the cutting parameters, is used as a controller. The results are shown i

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Dérick Augusto dos Anjos de Assis, Joseph Kalil Khoury Junior, Geice Paula Villibor, Francisco de Assis Carvalho Pinto, Bruno Botelho de Souza, and Nery Wilson Corrêa Filho. "Monitoring machining tool wear on platform Labview using machine vision." In 23rd ABCM International Congress of Mechanical Engineering. ABCM Brazilian Society of Mechanical Sciences and Engineering, 2015. http://dx.doi.org/10.20906/cps/cob-2015-1928.

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Wang, Wenji, Lixin Ma, and Xincheng Tian. "Tool Wear Volume and Residual Life Prediction Based on Extreme Learning Machine." In 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). IEEE, 2019. http://dx.doi.org/10.1109/icmcce48743.2019.00052.

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Nguyen, Trung, Kyung-Hee Park, Xin Wang, et al. "The Genesis of Tool Wear in Machining." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52531.

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This paper presents a series of experimental and theoretical efforts that we have made in unraveling the tool wear mechanisms under steady state conditions in machining for the last few decades. Two primary modes of steady state tool wear considered in this paper are flank and crater wear. We preface this paper by stating that flank wear is explained as abrasive wear due to the hard phases in a work material while crater wear is a combination of abrasive wear and generalized dissolution wear which encompasses both dissolution wear as well as diffusion wear. However, the flank wear was not a fu

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Ferri, Chris, Sydney Lizarazo, Michael Troise, and Patricia Iglesias. "Ionic Liquids As Additives to Cutting Fluids to Reduce Machine Tool Friction and Wear." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86810.

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In manufacturing processes, the cost of tooling contributes to a significant portion of operating costs. Several papers have been dedicated to various improvements on tool life, including monitoring the effect of temperature conditions and flood cooling. Flood cooling is not economical, so research has also been done to investigate minimum quantity lubrication and the effects of different additives, such as nanofluids. Another additive, ionic liquids, have become popular in tribological studies because they have unique properties that allow them to form ordered molecular structures, which is i

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Djurdjanovic, Dragan, Jun Ni, and Jay Lee. "Time-Frequency Based Sensor Fusion in the Assessment and Monitoring of Machine Performance Degradation." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32032.

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Machines degrade as a result of aging and wear, which decreases their performance reliability and increases the potential for faults and failures. In contemporary manufacturing it becomes increasingly important to predict and prevent machine failures, rather than allowing the machine to fail and then fixing the failure. In this paper, methods of time-frequency signal analysis will be used to capture information from multiple machine sensors. This information could be used to assess machine performance degradation and subsequently take appropriate action. Signals emanating from three different

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Sudev, L. J., and H. V. Ravindra. "Tool Wear Estimation in Drilling Using Acoustic Emission Signal by Multiple Regression and GMDH." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66756.

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The cutting tool is the only element in a machine tool that requires frequent changes due to failure. Drill bit wear can cause catastrophic failure that can result in considerable damage to the work piece and the machine tool. Hence, there is an imperative need to keep a watch on the condition of the cutting tools during the machining process. Over the years, a wide variety of on-line or off-line techniques have been investigated for monitoring abnormal cutting tools. A variety of signals such as tool-tip temperature, forces, power, thrust, torque, vibrations, shock pulse, Acoustic Emission (A

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Krishna, Ankur, and Bilal Muhammed. "Remaining Useful Life Prediction Based on Spindle Load and Cutting Process Parameters in Machining." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10571.

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Abstract Tool wear increases machining resistance, part dimensional inaccuracy and machining vibration. Tool wear monitoring and Remaining Useful Life (RUL) prediction of the tool during machining operation will assist a machine operator to provide tool wear compensation at the right time and plan the tool change activity. These aspects become significantly important for economical and quality production. This work focuses on a physics and data-based approach for monitoring cutting tool wear state and Remaining Useful Life (RUL) during a machining operation by adapting a well-known empirical w

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Srinidhi, R., Vishal Sharma, M. Sukumar, and C. S. Venkatesha. "Correlative Flank Wear Analysis of Single Point Turning Inserts Using Acoustic Emission and Artificial Intelligence Techniques." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67543.

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Wear mechanism of a cutting tool is highly complex in that the processes of tool wear results from interacting effect of machining configurations. Various output generated by the study and analysis of each tool is extremely useful in analyzing the tool characteristics in general and to make efforts to obtain the estimated tool life in particular. The gradual process of tool wear has adverse influence on the quality of the surface generated and on the design specifications in the work piece dimensions and geometry, and causes, at the worst case, machine breakdown. Advanced manufacturing demands

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