Relevant bibliographies by topics / Machining methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Machining methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 May 2022

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Journal articles on the topic "Machining methods"

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Putyra, Piotr, Marcin Podsiadło, Jolanta Laszkiewicz-Łukasik, and Tadeusz Krzywda. "Ceramics machining methods." Mechanik, no. 2 (February 2015): 120–22. http://dx.doi.org/10.17814/mechanik.2015.2.17.

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Cheng, Chang. "Research on the Machining Methods in Machining Center." Advanced Materials Research 476-478 (February 2012): 681–85. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.681.

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The machining center of SINUMERIK-802D system offers a large variety of machining methods. This paper compares a simplified cutter presetting method and several instructions that are less frequently used including rounding instruction (G1/G2/G3, RND), feed rate override instruction (CFC/CFTCP), helical interpolation instruction (G2/G3, TURN) and automatic input of radius compensation instruction ($TC_DP6) with other common instructions and introduces the flexible and simple application of these unfamiliar methods, in an attempt to provide some reference and inspiration for operators.
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Chigirinskii, Yu L. "Distinguishing between machining methods." Russian Engineering Research 32, no. 3 (March 2012): 291–95. http://dx.doi.org/10.3103/s1068798x12030070.

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Петраков, Юрій Володимирович. "Methods of control the machining process." Journal of Zhytomyr State Technological University. Series: Engineering 2, no. 2(80) (December 20, 2017): 124–34. http://dx.doi.org/10.26642/tn-2017-2(80)-124-134.

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Shchedrin, A. V., V. V. Ul’yanov, V. M. Skoromnov, and A. A. Bekaev. "Bauschinger effect in complex machining methods." Russian Engineering Research 28, no. 8 (August 2008): 797–99. http://dx.doi.org/10.3103/s1068798x08080145.

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Смоленцев, Владислав, and Vladislav Smolentsev. "Innovation technologies of combined machining methods." Science intensive technologies in mechanical engineering 2, no. 7 (July 20, 2017): 15–19. http://dx.doi.org/10.12737/article_595256f198a9c5.31338189.

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The analysis of the state of scientific investigations and the results achieved in the matter of the application of product combined machining methods with the use of various kinds of physicochemical impacts in which at least one refers to electric methods of working is presented. The technological possibilities of well-known and new combined processes are shown, the forecasts on their efficient use in mechanical engineering are given.
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Scott, Simon, and Zulfiqur Ali. "Fabrication Methods for Microfluidic Devices: An Overview." Micromachines 12, no. 3 (March 18, 2021): 319. http://dx.doi.org/10.3390/mi12030319.

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Microfluidic devices offer the potential to automate a wide variety of chemical and biological operations that are applicable for diagnostic and therapeutic operations with higher efficiency as well as higher repeatability and reproducibility. Polymer based microfluidic devices offer particular advantages including those of cost and biocompatibility. Here, we describe direct and replication approaches for manufacturing of polymer microfluidic devices. Replications approaches require fabrication of mould or master and we describe different methods of mould manufacture, including mechanical (micro-cutting; ultrasonic machining), energy-assisted methods (electrodischarge machining, micro-electrochemical machining, laser ablation, electron beam machining, focused ion beam (FIB) machining), traditional micro-electromechanical systems (MEMS) processes, as well as mould fabrication approaches for curved surfaces. The approaches for microfluidic device fabrications are described in terms of low volume production (casting, lamination, laser ablation, 3D printing) and high-volume production (hot embossing, injection moulding, and film or sheet operations).
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Markopoulos, Angelos P., Nikolaos E. Karkalos, and Emmanouil-Lazaros Papazoglou. "Meshless Methods for the Simulation of Machining and Micro-machining: A Review." Archives of Computational Methods in Engineering 27, no. 3 (March 16, 2019): 831–53. http://dx.doi.org/10.1007/s11831-019-09333-z.

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Prakash, Marimuthu K., Kumar C. S. Chethan, and Prasada H. P. Thirtha. "Residual Stresses Modelling of End Milling Process Using Numerical and Experimental Methods." Materials Science Forum 978 (February 2020): 106–13. http://dx.doi.org/10.4028/www.scientific.net/msf.978.106.

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Machining has been one of the most sort of process for realizing different products. It has significant role in the value additions process. Machining is one of the production process where material is removed from the parent material to realize the final part or component. Among machining, the well known machining processes are turning, milling, shaping, grinding and non-conventional machining processes like electric discharge machining, ultrasonic machining, chemical machining etc. The fundamental of all these processes being material removal in the form of chips using a tool either in contact or not in contact. In the present work, milling is being taken for study Finite element analysis is being used as a tool to understand the different phenomenon that underlies the machining processes. Of late, the machining induced residual stresses is of great interest to the researchers since the residual stresses have an impact on the functional performances. The present work is to model the milling process to predict the forces and residual stresses using finite element method. Unlike many researchers, the authors have attempted to develop oblique cutting model rather than an orthogonal cutting model. The present work was carried out on AISI 1045 steel.
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Chen, Yue Ping, Jian Gao, and Li Feng Wu. "Review on Deflection Compensation Methods for Machining of Thin-Walled Components." Applied Mechanics and Materials 29-32 (August 2010): 1768–76. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1768.

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The deflection of thin-walled components during machining will seriously affect their machining accuracy and surface quality. This paper presents a state of art review for the research in error prediction and error compensation during machining of these components. Some key techniques, such as the overall scheme, the cutting stability, the machining force modeling methodologies, the machining deformation analysis methodologies based on FEA and NC compensation methodologies, are discussed. The problems which have been highlighted in the research papers are pointed out and some problems which should be further investigated are given.
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Dissertations / Theses on the topic "Machining methods"

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Hussein, Wessam Mahmoud Elbestawi Mohamed A. A. Veldhuis Stephen C. "Machining process monitoring using multivariate latent variable methods." *McMaster only, 2007.

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Asante, James Nathaniel. "Analysis methods for machining fixtures with multiple point contacts." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2008. http://wwwlib.umi.com/cr/syr/main.

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Rashid, Asif Bin. "An Experimental and Theoretical Study of Developing Methods for Machining Ceramic Materials by Electrical Discharge Machining (EDM) Process." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami159426017923493.

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Fayad, Ramzi. "Predictive tool monitoring system for metal machining using aritificial intelligence methods." Thesis, University of Nottingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433992.

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Nguyen, Thai. "Development of New Cooling Methods for Grinding." University of Sydney, 2005. http://hdl.handle.net/2123/1689.

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Doctor of Philosophy
This research aimed to develop new cooling methods to replace, or at least minimise, the use of currently used grinding coolants which are known to be harmful to the environment. The methods used involved the application of a cold air and vegetable oil mist mixture (CAOM), and the use of liquid nitrogen as cooling media. Allied research focused on the development of a segmented grinding wheel equipped with a coolant chamber. The feasibility of a grinding system using CAOM was assessed on the surface grinding of plain carbon steel 1045. It was found that at low material removal rates, ground surfaces were obtained with a quality comparable to that from grinding with a conventional coolant in association with a reduction of grinding forces. There was no significant difference in the subsurface hardness of the components using CAOM, although the latter method showed a stronger dependence of surface residual stresses on the depth of cut due to the limit in cooling capacity of CAOM. The effects of using liquid nitrogen as a cooling medium on the microstructure of quenchable steel were explored. It was found that a martensite layer was induced on the ground surface. The microstructure featured a dispersion of very fine carbides within the martensite lattice, resulting in a remarkable increase in hardness and high compressive residual stresses within the layer. The topography of the ground surfaces indicated that the material was predominantly removed by brittle fracture. Furthermore surface oxidisation was suppressed. In the interest of coolant minimisation, a segmented wheel equipped with a pressurized coolant chamber was developed. A higher quality ground surface was obtained in conjunction with a coolant saving of up to 70%. In addition, the adhesion of ground chips on the wheel surface largely disappeared. Furthermore, surface tensile residual stresses caused by thermal deformation were minimised. The mechanism of coolant disintegration to form mists using this type of wheel system was studied. The Weber theory for Newtonian jet instability was applied to quantitatively determine the contribution of coolant flow rate to mist and ligament modes. A semi-analytical model was then developed to predict the mist flow rate by taking into account both grinding parameters and coolant properties. The model prediction was in agreement with experimental measurements. Based on the principles of fluid motion and the mechanisms of spin-off and splash, analytical models for both conventional and segmented wheels were established to provide a physical understanding of the mechanisms of coolant penetration into the grinding zone. Coolant minimisation was evident using the segmented wheel where the coolant pumping power into the grinding zone increased with wheel speed, but for the conventional wheel it decreased. A quantitative analysis was developed that accounted for the coolant properties and system design characteristics governing the penetration mechanism revealed by the theory established above. In conjunction with the mist formation analysis, the developed model offers a practical guideline for the optimal use of grinding coolants in achieving a balance between the demands of productivity and care for the environment.
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Lebeck, Matthew Victor. "Predictive methods applied to the vibratory response of machining structural steel and weldments." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/16021.

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Bringmann, Bernhard. "Improving geometric calibration methods for multi-axis machining centers by examining error interdependencies effects /." Düsseldorf : VDI-Verl, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015962642&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Qi, Qiang. "INVESTIGATION OF POLISHING METHODS AND SURFACE ANALYSIS AFTER MACHINING AISI 4140 ALLOY STEEL." UKnowledge, 2017. https://uknowledge.uky.edu/me_etds/107.

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AISI 4140 alloy steel has been a very common material to be investigated in automotive and aerospace industries for several decades. AISI 4140 alloy steel is chromium, molybdenum, and manganese containing low alloy steel. It has high fatigue strength, abrasion and impact resistance, toughness, and torsional strength. The functional performance is largely determined by the surface states after machining. The aim of the present study is to explore the polishing methods and surface analysis after machining AISI 4140 alloy steel in different cutting speeds and cooling conditions. The surface analysis includes surface roughness, hardness and residual stresses. Compared to traditional polishing, an innovative experimental work was conducted on electro-polishing technology for removing surface layer before subsurface residual stress measurement. The results of this work show that the electro-polishing method is a significant approach for the residual stress analysis. High cutting speed and cooling conditions can improve the surface quality to achieve lower surface roughness, higher microhardness and more compressive residual stresses after machining AISI 4140 alloy steel.
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Gärdek, Harald, and Boubker Ouaha. "A State of the Art Report and Comparison with Conventional Methods of Abrasive Waterjet Machining Technology." Thesis, KTH, Tillämpad maskinteknik (KTH Södertälje), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170080.

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Kunhart, Josef. "Nasazení nekonvenční metody vodního paprsku do technologického procesu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228635.

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In terms of needs of practice, material slicing is one of the first operations at manufacture or fabrication. During the slicing process different conventional and non-conventional methods are used. Among the basic non-conventional methods is water jet cutting of two types: Abrasive Water Jet cutting (AWJ) and Water Jet Machining (WJM). This method is used in the technological process also for cutting devices of unique shapes and diverse materials
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Books on the topic "Machining methods"

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Advanced methods of machining. London: Chapman and Hall, 1988.

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McGeough, J. A. Advanced methods of machining. London: Spon, 1988.

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Trietsch, Dan. A proposal to apply Taguchi-Inspired Methods to the reduction of machining variance. Monterey, Calif: Naval Postgraduate School, 1992.

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Makhanov, S. S. Advanced numerical methods to optimize cutting operations of five-axis milling machines. Berlin: Springer, 2007.

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Zhang, Mingbo. Application of mathematical programming methods to the machining economics problem. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Plater, David Alan. Methods and strategies for the NC machining of general parametric surfaces. Birmingham: University of Birmingham, 1993.

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IFIP TC5/WG5.3 Working Conference on Process Planning for Complex Machining with AI-Methods (1991 Gaussig, Germany). Complex machining and AI-methods: Proceedings of the IFIP TC5/WG5.3 Working Conference on Process Planning for Complex Machining with AI-Methods, Gaussig, Germany, 27-29 November 1991. Amsterdam: North-Holland, 1991.

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S, Dixit Uday, ed. Modeling of metal forming and machining processes: By finite element and soft computing methods. London: Springer, 2008.

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Markopoulos, Angelos P. Finite Element Method in Machining Processes. London: Springer London, 2013.

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Markopoulos, Angelos P. Finite Element Method in Machining Processes. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4330-7.

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Book chapters on the topic "Machining methods"

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White, K. A., J. K. Hill, and C. G. Jensen. "Curvature Matched Machining Methods Versus Commercial CAD Methods." In Machining Impossible Shapes, 361–65. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35392-0_37.

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Mennig, Günter, and Klaus Stoeckhert. "Manufacturing and Machining Methods." In Mold-Making Handbook, 471–606. München: Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9781569905500.004.

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Choi, Byoung K., and Robert B. Jerard. "Introduction to tool-path generation methods." In Sculptured Surface Machining, 119–46. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5283-3_6.

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Quiza, Ramón, and J. Paulo Davim. "Computational Methods and Optimization." In Machining of Hard Materials, 177–208. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-450-0_6.

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Zhang, Jianmei, and Z. J. Pei. "Characterization Methods for Surface Integrity." In Surface Integrity in Machining, 127–41. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-874-2_4.

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Sidpara, Ajay M., and Ganesh Malayath. "Tool Wear Modeling and Compensation Methods." In Micro Electro Discharge Machining, 249–74. Boca Raton, FL: CRC Press/Taylor & Francis Group, 2019. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429464782-10.

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Hazarika, Manjuri, and Uday Shanker Dixit. "Methods for Solving Setup Planning Problems." In Setup Planning for Machining, 41–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13320-1_3.

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Patel G. C., Manjunath, Ganesh R. Chate, Mahesh B. Parappagoudar, and Kapil Gupta. "Introduction to Hard Materials and Machining Methods." In Machining of Hard Materials, 1–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40102-3_1.

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Slătineanu, Laurenţiu, Oana Dodun, Margareta Coteaţă, and Irina Beşliu. "Nanoreliefs Obtained by Various Machining Methods." In Nanostructures and Thin Films for Multifunctional Applications, 447–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30198-3_14.

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Yarovyi, Yurii, and Inna Yarova. "Energy Criterion for Metal Machining Methods." In Lecture Notes in Mechanical Engineering, 378–87. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22365-6_38.

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Conference papers on the topic "Machining methods"

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You, Ding, and Zhou Zhou. "Research on A Wing Structure Design Under Bionic Methods." In Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/pntim-19.2019.57.

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Banchi, Claudio. "Programming methods for multiaxis laser machining." In ICALEO® ‘94: Proceedings of the Laser Materials Processing Conference. Laser Institute of America, 1994. http://dx.doi.org/10.2351/1.5058868.

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Špína, Michal, Jiří Beneš, František Procháska, and Ondřej Matoušek. "Machining vibration and methods of their measurement." In Optics and Measurement 2019 International Conference, edited by Jana Kovačičinová. SPIE, 2019. http://dx.doi.org/10.1117/12.2542816.

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Chryssolouris, George, George Tsoukantas, Konstantinos Salonitis, Panagiotis Stavropoulos, and Stefanos Karagiannis. "Laser machining modeling and experimentation: an overview." In Medical Imaging 2003 Physiology and Function: Methods, Systems, and Applications, edited by Alexis Carabelas, Giuseppe Baldacchini, Paolo Di Lazzaro, and Dimitrios Zevgolis. SPIE, 2003. http://dx.doi.org/10.1117/12.513593.

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Bassett, C. P., C. G. Jensen, J. E. Bosley, W. E. Red, and M. S. Evans. "Direct Machining: A New Paradigm for Machining Data Transfer." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dfm-14298.

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Abstract Although modern machine tools and controllers have evolved with the computer over the years, many machining practices derive from those developed for the original punched-tape controllers. A new method called Direct Machining And Control (DMAC) is being developed at Brigham Young University that allows the machine controller to directly interpret the CAD/CAM models without the need for any intermediary text files such as M&G code. In this paper, Direct Machining with its requirements and implications is explored. CAD extraction methods and progress are shown. Our software architecture and data transfer methods are explained. With what we have developed, we can build a proof-of-concept system that will hopefully attract the attention and partnership of both CAD and machine controller vendors for further integration.
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Bondarenko, J. A., O. V. Bestuzheva, and Y. A. Get'man. "Methods of Multi-Criterial Optimization of Machining Process." In 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2019. http://dx.doi.org/10.1109/fareastcon.2019.8934826.

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Sun, Wei, Chengyan Fan, Zhipeng Sun, and Xiaodong Li. "Research on machining methods of varying pitch screw." In 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE 2010). IEEE, 2010. http://dx.doi.org/10.1109/cmce.2010.5609903.

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Rodríguez Prieto, Juan Manuel, Pär Jonsén, and Ales Svoboda. "A PARTICLE FINITE ELEMENT METHOD FOR MACHINING SIMULATIONS." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.1835.4586.

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Mehta, Parikshit, Mathew Kuttolamadom, and Laine Mears. "Machining Process Power Monitoring: Bayesian Update of Machining Power Model." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7277.

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Monitoring the CNC machine tool power provides valuable information that aids condition based maintenance, machine efficiency and machining process monitoring. Cutting force in machining process is an interesting variable to measure from monitoring and control point of view. Although the direct methods of measuring the cutting force exist, prohibitive costs do not allow deployment in industrial environment. In the indirect methods of measuring force, measuring the spindle motor current to estimate the cutting power and consequently the cutting force is popular. This work discusses the calibration of spindle current based torque sensor for the estimation of the cutting force in turning operation. The work undertakes handling uncertainty in measurement of the cutting torque measurement. Considering the steady state value, the cutting torque is represented as a polynomial function of the speed and measured power. Though the identification of the unknown coefficients can be done based on the offline tests, in current work, the Bayesian update of coefficients is proposed. This method allows online learning of these coefficients. The cutting torque value based on the model has some variability due to variation in the coefficients and unmodeled dynamics. The iterative learning happens in three stages, namely — Prior belief, likelihood function establishment and update in prior belief with observed data producing posterior belief. The establishment of the priors is done through some offline tests. The likelihood function accounts for noise in the measurement of torque. And finally, Markov Chain Monte Carlo (MCMC) simulations help sampling from unknown posterior distribution. This scheme has ability to sample from any distribution. A single update cycle shows high reduction in the variability of the torque. Experimental data is produced to verify the effectiveness of method; the Bayesian update scheme outperforms least-square polynomial fit method consistently for different cutting speeds and cutting load values.
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Makhanov, Stanislav. "VECTOR FIELD GUIDED TOOL PATHS FOR FIVE-AXIS MACHINING." In VII European Congress on Computational Methods in Applied Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2016. http://dx.doi.org/10.7712/100016.2303.4368.

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Reports on the topic "Machining methods"

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Lee, Yubin. The Optimization of Machining Parameters for Milling Operations by Using the Nelder Mead Simplex Method. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7271.

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Kovnat, Alexander R. Traveling Wire Electrical Discharge Machining as an Alternative Method of Manufacturing M1 Main Battle Tank Rotary Shock Absorber Components. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada173139.

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