Relevant bibliographies by topics / Modeling of electric discharge grinding

Academic literature on the topic 'Modeling of electric discharge grinding'

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Published: 6 September 2023

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Journal articles on the topic "Modeling of electric discharge grinding"

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Strelchuk, Roman. "SURFACE ROUGHNESS MODELING DURING ELECTRIC DISCHARGE GRINDING WITH VARIABLE POLARITY OF ELECTRODES." Cutting & Tools in Technological System, no. 94 (June 16, 2021): 77–84. http://dx.doi.org/10.20998/2078-7405.2021.94.09.

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The article presents the probabilistic-statistical modeling of surface roughness in the process of electric discharge grinding with the variable polarity of electrodes. The correlation between electric modes of machining and indicators of the quality of the machined surface was established. A probabilistic-statistical model of part surface roughness formed during grinding is obtained, which establishes the correlation between high-altitude surface parameters and electrical machining modes. The developed model makes it possible to calculate the height parameters of the part roughness depending on the electrical modes of grinding. The height of microroughness is determined by the same machining conditions as the depth of erosion pits. It is possible to obtain low roughness if electrical machining modes are reduced.
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Satyarthi, M. K., and Pulak M. Pandey. "Modeling of material removal rate in electric discharge grinding process." International Journal of Machine Tools and Manufacture 74 (November 2013): 65–73. http://dx.doi.org/10.1016/j.ijmachtools.2013.07.008.

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Strelchuk, Roman, and Oleksandr Shelkovyi. "RESEARCH OF THE CUTTING MECHANISM AT ELECTRICAL DISCHARGE GRINDING." Cutting & Tools in Technological System, no. 95 (December 26, 2021): 37–44. http://dx.doi.org/10.20998/2078-7405.2021.95.05.

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The paper presents the results of a study of the cutting mechanism during electrical discharge grinding of hard alloys. The cutting mechanism during electrical discharge grinding was studied using mathematical modeling. By means of geometric modeling, a method of grinding cup wear was developed. The functional dependence of the diamonds use factor in the Kw wheel on the technological parameters of processing, wear and tool characteristics were determined. Analysis of the results of the study shows that an increase in efficiency at electrical discharge grinding can be achieved by reducing the wear of S, and by corresponding variation in the concentration of diamonds and technological modes of processing.
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Strelchuk, Roman, and Oleksandr Shelkovyi. "EDM GAP MODELING AT ELECTRICAL DISCHARGE GRINDING WITH CHANGE OF ELECTRIC POLARITY." Cutting & Tools in Technological System, no. 93 (December 31, 2020): 95–102. http://dx.doi.org/10.20998/2078-7405.2020.93.11.

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Shrivastava, Pankaj Kumar, and Avanish Kumar Dubey. "Experimental modeling and optimization of electric discharge diamond face grinding of metal matrix composite." International Journal of Advanced Manufacturing Technology 69, no. 9-12 (August 7, 2013): 2471–80. http://dx.doi.org/10.1007/s00170-013-5190-8.

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Zorin, Aleksandr S. "Electro-pulse technology of destruction of solid dielectric materials. Factors influencing the dynamics of discharge processes." Transactions of the Kоla Science Centre of RAS. Series: Engineering Sciences 13, no. 3/2022 (December 29, 2022): 87–96. http://dx.doi.org/10.37614/2949-1215.2022.13.3.009.

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The article briefly presents the basics of electro-pulse technology for the disintegration of solid dielectric materials. The scheme of a high-voltage pulse generator and a crushing and grinding chamber integrated into the experimental setup, is considered. The factors influencing the discharge processes are indicated, and the results of modeling the distribution of electric field intensity lines for the corresponding cases are presented.
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Yang, Guang Mei, Yun Peng Zhang, Kai Yue Li, and Guo Ding Chen. "A Processing Predictive Model of Ultrasonic Vibration Grinding Assisted Electric Discharge Machining Based on Support Vector Machines." Advanced Materials Research 941-944 (June 2014): 1928–31. http://dx.doi.org/10.4028/www.scientific.net/amr.941-944.1928.

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To predict the machining results of ultrasonic vibration grinding assisted electric discharge machining (UVGAEDM) in the condition of building predictive model with a few samples but fluctuant values, a predictive model based on SVM was proposed in this paper. Taking machining SiCp/Al as an example, the samples for modeling were obtained through orthogonal test, and then the predictive model was established utilizing MATLAB. Finally, the model was optimized to further improve the prediction accuracy about the processing indicatorssurface roughness and processing velocity. It shows that the predictive results are in good accord with the test results, with the maximum relative error being less than 12%, meaning the predictive model is reliable and effective.
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Golabczak, Andrzej, Marcin Golabczak, Andrzej Konstantynowicz, Robert Swiecik, and Marcin Galant. "Modeling and Experimental Investigations of the Surface Layer Temperature of Titanium Alloys during AEDG Processing." Defect and Diffusion Forum 365 (July 2015): 63–70. http://dx.doi.org/10.4028/www.scientific.net/ddf.365.63.

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Observing the latest manufacturing processes, the following tendencies can be noted: the gain of the energetic efficiency and shortening of the processing time with parallel preservation of the dimensions tolerance, shape tolerance and outer layer quality of the processed workpiece. Also the possibilities of gaining efficiency by rising criteria for process parameters are limited. It is mainly observed in the processing of hard machinable materials like titanium alloys or sintered carbides. Problems related to poor machinability were revealed during the final manufacturing processes using abrasive grinding [1,2]. In this work the results which have been presented are related to the influence by selected electrical parameters of the Abrasive Electrodischarge Grinding (AEDG) on the surface layer temperature of machined samples, in comparison to conventional grinding. Also the change in temperature during the AEDG has been depicted. The basis of this work is similar to the investigations of the deep grinding of surfaces of the titanium alloy Ti6Al4V using CBN and a diamond grinding wheel. For the comparative evaluation of the conventional grinding and AEDG, measurements of the specific grinding energy, energy of the spark discharge and internal stresses in the surface layer have been used.
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Wang, Tingzhang, Chunya Wu, Henan Liu, Mingjun Chen, Jian Cheng, and Su Dingning. "On-machine electric discharge truing of small ball-end fine diamond grinding wheels." Journal of Materials Processing Technology 277 (March 2020): 116472. http://dx.doi.org/10.1016/j.jmatprotec.2019.116472.

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Gao, Ji, Di Wang, and Yao Sun. "The Study of EDG GH3536 Surface Roughness Base on the Artificial Neural Network Modeling." Advanced Materials Research 690-693 (May 2013): 3175–79. http://dx.doi.org/10.4028/www.scientific.net/amr.690-693.3175.

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The process parameters of electrical discharge grinding,such as workpiece polarity, pulse width, pulse interval, peak current, peak voltage, all have influence on GH3536’s surface roughness.General method is difficult to determine the relationship between the process parameters and the process indicators. This article established a artificial neural network model of EDG GH3536 surface roughness which can forecast. Neural network algorithm use BP algorithm, the network structure is the 2-4-1.
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Dissertations / Theses on the topic "Modeling of electric discharge grinding"

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Xie, Qiulin. "Modeling and control of linear motor feed drives for grinding machines." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22630.

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Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Steven Y Liang; Committee Member: Chen Zhou; Committee Member: David G Taylor; Committee Member: Min Zhou; Committee Member: Shreyes N Melkote.
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Hsueh, Weichung Paul 1962. "Fabrication and modeling of a floating-gate transistor for use as an electrostatic-discharge detector." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276727.

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Electrostatic discharge is of great concern to the electronics industry. It degrades and destroys large numbers of integrated circuits at every step from fabrication through packaging and testing. The goal of this research effort was the development of a device that can be used to obtain quantitative information on electrostatic discharge (ESD) in the integrated-circuit workplace. The device that was developed can be utilized in two different modes. (1) It can be used to form ESD test wafers or test chips. (2) It can be incorporated on product chips to give the ESD history of devices or monitor the process line. The technology that was examined in this work was that for floating-gate PROMS. A simple analytical model for obtaining a parameter called the ESD factor was developed. The prototype detector was designed, fabricated and tested in the Semiconductor Processing Facility of the University of Arizona. Evidence will be presented that the FLOTOX type of EEPROM functions well in its application as an ESD detector.
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Ekmekci, Bulent. "Theoretical And Experimental Investigation Of Residual Stresses In Electric Discharge Machining." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1138189/index.pdf.

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Electric Discharge Machining (EDM) is a process for eroding and removing material by transient action of electric sparks on electrically conductive materials immersed in a dielectric liquid and separated by a small gap. A spark-eroded surface is a surface with matt appearance and random distribution of overlapping craters. It is mechanically hard and stressed close to ultimate tensile strength of the material and sometimes covered with a network of micro cracks. The violent nature of the process leads a unique structure on the machined surface and generates residual stresses due mainly to the non-homogeneity of heat flow and metallurgical transformations. An extensive experimental study is presented to explore the surface and sub-surface characteristics together with the residual stresses induced by the process. Layer removal method is used to measure the residual stress profile in function of depth beneath. A finite element based model is proposed to determine residual stresses and compared with the experimental results. The residual stress pattern is found to be unchanged with respect to machining parameters. Thus, a unit amplitude shape function representing change in curvature with respect to removal depth is proposed. The proposed form is found as a special form of Gauss Distribution, which is the sum of two Gaussian peaks, with the same amplitude and pulse width but opposite center location that is represented by three constant coefficients. In each case, agreement with the proposed form is established with experimental results. Results have shown that these coefficients have a power functional dependency with respect to released energy.
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Mahalingam, Sudhakar. "Particle Based Plasma Simulation for an Ion Engine Discharge Chamber." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1198181910.

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Lou, Lifang. "Design, characterization and compact modeling of novel silicon controlled rectifier (SCR)-based devices for electrostatic discharge (ESD) protection applications in integrated circuits." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002374.

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Joseph, Johnson. "Numerical Modeling and Characterization of Vertically Aligned Carbon Nanotube Arrays." UKnowledge, 2013. http://uknowledge.uky.edu/me_etds/28.

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Since their discoveries, carbon nanotubes have been widely studied, but mostly in the forms of 1D individual carbon nanotube (CNT). From practical application point of view, it is highly desirable to produce carbon nanotubes in large scales. This has resulted in a new class of carbon nanotube material, called the vertically aligned carbon nanotube arrays (VA-CNTs). To date, our ability to design and model this complex material is still limited. The classical molecular mechanics methods used to model individual CNTs are not applicable to the modeling of VA-CNT structures due to the significant computational efforts required. This research is to develop efficient structural mechanics approaches to design, model and characterize the mechanical responses of the VA-CNTs. The structural beam and shell mechanics are generally applicable to the well aligned VA-CNTs prepared by template synthesis while the structural solid elements are more applicable to much complex, super-long VA-CNTs from template-free synthesis. VA-CNTs are also highly “tunable” from the structure standpoint. The architectures and geometric parameters of the VA-CNTs have been thoroughly examined, including tube configuration, tube diameter, tube height, nanotube array density, tube distribution pattern, among many other factors. Overall, the structural mechanics approaches are simple and robust methods for design and characterization of these novel carbon nanomaterials
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PISSOLATO, FILHO JOSE. "Analyse du contournement d'une surface faiblement conductrice par une decharge electrique alimentee en courant continu." Toulouse 3, 1986. http://www.theses.fr/1986TOU30048.

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Comparaison des differentes modelisations electriques du systeme decharge-surface polluee utilisees dans l'etude du contournement des isolateurs. Utilisant un modele de laboratoire ou la pollution est representee par un canal rempli d'electrolyte, on a releve les valeurs de la tension de contournement en fonction de la resistance lineique du canal. Pour les resistances lineiques superieures a 7 kiloohms par centimetre, c'est le modele de rao et gopal qui est le mieux adapte; au-dessous, c'est le modele de wilkins dans lequel on poste les constantes de la decharge mesurees dans la vapeur d'eau. Nouvelle modelisation permettant de calculer, en fonction du temps, l'elongation de la decharge et le courant fourni par la source
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Thérèse, Laurent. "Plasmas radiofréquence pour l'analyse des matériaux : étude expérimentale, analytique et numérique." Toulouse 3, 2005. http://www.theses.fr/2005TOU30027.

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Le travail présenté dans cette thèse est une contribution à la compréhension de la décharge et du plasma mis en jeu en spectroscopie d'émission à décharge luminescente en excitation radiofréquence à 13,56 MHz pour l'analyse des matériaux. L'étude est basée sur une caractérisation expérimentale de la décharge et du plasma. Nous avons mis au point des dispositifs de diagnostics expérimentaux (électrique et optique) permettant de mesurer la tension, le courant de décharge, la puissance injectée dans le plasma dans le cas de matériaux conducteurs, et de mesurer l'intensité d'émission de la raie d'argon à 750,4 nm. Nous avons développé un modèle analytique simple qui à partir des mesures électriques permet d'accéder à des informations sur les propriétés fondamentales du plasma (champ électrique maximum, épaisseur de gaine, densités) et avec lequel nous avons également pu déterminer un schéma électrique équivalent de la décharge. Ce modèle nous permet de caractériser l'évolution des paramètres de base du plasma en fonction de la puissance, de la pression, de la nature du matériau de cathode ou d'anode. Nous avons également utilisé un modèle numérique hybride fluide- Monte Carlo bidimensionnel de la décharge qui nous a permis de valider les résultats expérimentaux et analytiques
The work presented in this thesis is a contribution to the comprehension of the discharge and the plasma used in radiofrequency optical emission spectroscopy at 13,56 MHz for the analysis of materials. The study is based on an experimental characterization of the discharge and the plasma. We have developed experimental diagnoses devices (electric and optical) allowing to measure the voltage, the discharge current, the power injected into the plasma in the case of conducting materials, and to measure the emission intensity of the argon line at 750,4 nm. We have developed a simple analytical model which starting from the electrical measurements gives access to informations on the fundamental properties of the plasma (maximum electric field, thickness of sheath, densities) and with which we also could determine an equivalent electric circuit of the discharge. This model enables us to characterize the evolution of the basic parameters of plasma according to the power, the pressure, the nature of material of cathode or anode. We have also used a hybrid digital model fluid Monte Carlo two-dimensional of the discharge which enabled us to validate the experimental and analytical results
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Domens, Pierre. "Contribution a l'étude des décharges électriques dans les grands intervalles d'air." Pau, 1987. http://www.theses.fr/1987PAUU3011.

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Etude par strioscopie de la phase leader des décharges positives dans les grands intervalles d'air soumis a une sonde manœuvre. Résultats expérimentaux en mode image par image et balayage. Etude expérimentale et modélisation des streamers sous tension continue et sous tension impulsionnelle. Calcul de la répartition spatio-temporelle de la charge de tête, des courants a l'électrode haute tension et du champ au plan. Extension du modèle aux grandes distances
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Gisbert, Rémy. "Optimisation d'une source d'ions à décharge luminsescente pour spectromètre de masse." Grenoble 1, 1992. http://www.theses.fr/1992GRE10118.

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La source d'ions a decharge luminescente en mode continu est utilisee en spectrometrie de masse car elle permet d'obtenir un signal intense, stable et peu discriminatoire. Nous avons etudie les differentes fonctions remplies par cette source (atomisation de l'echantillon et ionisation des produits re-emis) pour analyser son fonctionnement et l'optimiser. L'etude des processus successifs (etablissement et fonctionnement de l'auto-entretien, atomisation par pulverisation de l'echantillon, ionisation des atomes emis dans la decharge) nous a permis de montrer l'importance des parametres suivants: conditions de l'auto-entretien, energie et nature des particules incidentes sur l'echantillon, influence de la pression et de la geometrie de la cellule sur la diffusion des produits de pulverisation. Nous avons developpe des modeles pour simuler le comportement en sensibilite des courants d'ions des especes majeures et definir les conditions d'optimisation du signal. En appliquant ces conclusions, nous avons concu et realise une nouvelle cellule a echantillon plat. Les gains en sensibilite obtenus permettent d'abaisser le seuil des limites de detection de plus d'un ordre de grandeur pour une vitesse d'erosion en profondeur sensiblement reduite, gage d'une meilleure resolution en profondeur pour l'analyse des couches minces. Par ailleurs, nous avons montre l'interet et la faisabilite de la decharge luminescente en mode radiofrequence pour l'analyse des echantillons isolants sur vg9000
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Book chapters on the topic "Modeling of electric discharge grinding"

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Setti, Dinesh. "Electric Discharge Grinding (EDG)." In Electric Discharge Hybrid-Machining Processes, 127–37. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003202301-7.

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Das, Sanghamitra, Shrikrishna Nandkishor Joshi, and Uday Shanker Dixit. "Modeling and Optimization of EDM-Based Hybrid Machining Processes." In Electric Discharge Hybrid-Machining Processes, 305–32. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003202301-14.

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Bharti, Pushpendrai Singh, Sachin Maheshwari, and Chitra Sharma. "Neural-Network- Based Modeling of Electric Discharge Machining Process." In Advances in Intelligent and Soft Computing, 95–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19644-7_11.

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Shekhawat, M. S., H. S. Mali, and A. P. S. Rathore. "Micro-Feature Fabrication on External Cylindrical Surface by Centreless Electric Discharge Grinding." In Lecture Notes in Mechanical Engineering, 291–300. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4748-5_28.

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Joshi, Dhruv, Satyendra Singh, Chandra Prakash, and Vinod Kumar. "Thermal Modeling of Beryllium Copper Alloy C-17200 for Electric Discharge Machining." In Lecture Notes on Multidisciplinary Industrial Engineering, 119–28. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9016-6_14.

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Deshmukh, Swarup S., Arjyajyoti Goswami, Ramakant Shrivastava, and Vijay S. Jadhav. "Optimization of Spark Gap in Powder Mixed Wire Electric Discharge Machining through Genetic Algorithm Approach." In Materials Modeling for Macro to Micro/Nano Scale Systems, 219–43. Boca Raton: Apple Academic Press, 2022. http://dx.doi.org/10.1201/9781003180524-10.

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Mohanty, Pragyan Paramita, Deepak Mohapatra, Asit Mohanty, and Swagat Nayak. "ANFIS-Based Modeling for Prediction of Surface Roughness in Powder Mixed Electric Discharge Machining." In Advances in Intelligent Systems and Computing, 151–59. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8676-3_14.

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Parthiban, M., and M. Harinath. "Optimization of Parameters for Material Removal Rate and Surface Roughness in Wire Electric Discharge Grinding (WEDG) for Micro-machining of Cemented Carbide Rods." In Lecture Notes in Mechanical Engineering, 161–70. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2278-6_14.

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Vishwakarma, U. K., A. Dvivedi, and P. Kumar. "Finite Element Modeling of Material Removal Rate in Powder Mixed Electric Discharge Machining of Al-SiC Metal Matrix Composites." In Materials Processing Fundamentals, 151–58. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-48197-5_17.

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Patil, Sushant B., Swarup S. Deshmukh, Vijay S. Jadhav, and Ramakant Shrivastava. "Modeling and Parametric Optimization of Process Parameters of Wire Electric Discharge Machining on EN-31 by Response Surface Methodology." In Lecture Notes in Mechanical Engineering, 51–65. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4745-4_6.

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Conference papers on the topic "Modeling of electric discharge grinding"

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Singh, Pushpendra, Avanish Kumar Dubey, and Pankaj Kumar Shrivastava. "Performance Evaluation of Electrical Discharge Abrasive Grinding Process using Grinding Ratio." In 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART). IEEE, 2019. http://dx.doi.org/10.1109/smart46866.2019.9117443.

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Shrivastava, Pankaj Kumar, and Avanish Kumar Dubey. "Intelligent Modeling and Optimization of Material Removal Rate in Electric Discharge Diamond Grinding." 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/msec2012-7252.

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Metal matrix composites (MMCs) have wide applications in modern manufacturing industries due to their specific and improved technological characteristics such as high strength to weight ratio, high hardness, high thermal, corrosion and wear resistances. Such characteristics are highly demanded in automobile, aircraft and space research organizations. Shaping of MMCs has been a big challenge for manufacturing industries due to their superior mechanical properties and the peculiar microstructure composed of different phases in MMCs poses machining challenges. Unconventional machining methods have become an alternative to give desired shapes with intricate profiles and stringent design requirements. The aim of present research is to investigate the machining performance of copper-iron-carbide MMC using hybrid machining process, electric discharge diamond grinding (EDDG). A hybrid approach of neural network and genetic algorithm has been used to develop the intelligent model for material removal rate (MRR) and subsequent optimization with the experimental data obtained by scientifically designed experimentation.
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Agrawal, A., A. K. Dubey, and P. K. Shrivastava. "Intelligent modeling and multi-objective optimization of powder mixed electrical discharge diamond grinding of MMC." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7798035.

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Pratap, Ashwani, and Karali Patra. "Analysis of Polycrystalline Diamond Micro-Grinding Tool Topography Using Image Processing." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2862.

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Abstract Polycrystalline diamond (PCD) micro-grinding tools are shaped using different electro-discharge machining processes among which wire electro-discharge grinding (WEDG) process is widely accepted due to its capability of producing highly precise, ultra-thin and dimensionally accurate tools. Topographical analysis of the tool surface is inevitable as abrasive cutting edge density and grit protrusion heights affect the cutting process and are equally demanding parameters in modeling of the process. Analysis of micro-grinding tool topography and determining the tool surface statistics have always been a vital challenge due to random positioning and orientation of the abrasives on the tool surface. Current study deals with dressing of polycrystalline diamond micro-tool using wire-electro-discharge grinding and thereafter analysis of tool surface topography using novel image processing technique. In contrast to most of the previous experimental studies based on wheel replication and touch probe data to analyze the conventional grinding tool surface, we develop a sequential methodology using various available image processing algorithm tools and its application on the actual 3D surface data of the miniature sized PCD tool to capture the abrasive density and protrusion heights distribution. It is observed that image processing employing leveling, threshold, watershed algorithm and edge detection provided accurate outlook into the tool surface. Static cutting edge density is found to be 165–170 grits (per mm) and its variation with respect to depth into tool surface is also observed.
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Reddy, Janvita, and Ram Singar Yadav. "Intelligent Modelling and Machining Characteristics of Hybrid Machining for Hybrid Metal Matrix Composites." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95543.

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Abstract With the invention of advanced engineering materials, the shaping of such materials became a challenging issue. Two or more reinforcements are added to the metal matrix and form hybrid metal matrix composites (HMMCs) with preferable material properties, but shaping became quite challenging. Hybrid Surface grinding Electrical Discharge Diamond Face Surface Grinding (EDDFSG) is a suitable hybrid machining process capable of machining complicated HMMCs. With the help of EDDFSG, adverse effects of both traditional and non-traditional techniques are overcome while combining their benefits for a better machining results. A hybrid composite machined with a hybrid machining process requires an advanced technique for modeling and the performance prediction of complex machining characteristics. Material removal rate (MRR) and (Ra) rely on the process parameters, their influence must be extensively studied. Machine learning, a subset of Artificial Intelligence, allows machines to learn, develop, and execute tasks like human beings based on data rather than explicitly programmed. In the present work, an attempt has been made to develop a Machine Learning (ML), K Nearest Neighbor (KNN) based model, to predict MRR and Ra for machining EDDFSG of Al/Al2O3p/B4Cp and Al/SiCp/B4Cp HMMCs. The KNN algorithm is one of the efficient ML models for regression. Our training data set is normalized using the Min-max scalar to avoid a biased algorithm towards one process parameter. The model’s accuracy is validated by average standard error metrics on the test data set. The impacts of the process parameters like pulse-on time, gap current, wheel speed, pulse-off time, grit number, table speed over the response variables of the ML model is studied and analyzed in depth. The remarkable results are found pertaining to machining characteristics of the EDDFSG process over traditional modelling techniques.
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Geng, Qidong, Chunyan Li, and Jun Wang. "An experimental investigation for electric discharge grinding chemical vapor deposition silicon carbide." In 2015 International Conference on Materials, Environmental and Biological Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/mebe-15.2015.139.

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V, Krishnaraj, Senthil Kumar M, Sindhumathi R, and Joško Valentinčič. "A Study on Improving Accuracy of Micro Probes using Wire Electric Discharge Grinding." In WCMNM 2018 World Congress on Micro and Nano Manufacturing. Singapore: Research Publishing Services, 2018. http://dx.doi.org/10.3850/978-981-11-2728-1_49.

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AUWETER-KURTZ, M., H. KURTZ, H. SCHRADE, and P. SLEZIONA. "Numerical modeling of the flow discharge in MPD thrusters." In 19th International Electric Propulsion Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-1091.

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Jia, Y., C. J. Wei, B. S. Kim, D. J. Hu, and J. Ni. "Feasibility Study on Near-Dry Electrical Discharge Dressing of Metal Bonded Diamond Grinding Wheels." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84151.

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Abstract:
Diamond grinding wheels are important tools to carry out precise or ultra-precise grinding of difficult-to-machine materials; however, the difficulty of dressing diamond grinding wheels is a bottleneck problem in their wide application. The objective of this study is to identify the feasibility of near-dry electrical discharge dressing (EDD) of metal bonded diamond grinding wheels. Through design of experiment (DoE), sets of tests were carried out to select proper dielectric mist composition and electrode material, to quantify the dielectric mist composition, to choose the electrode shape and rotating speed, and to investigate the influence of electric discharge parameters on dressing performance. By applying optimized experimental parameters to near-dry EDD of metal bonded diamond grinding wheels, more diamond grits protruded out of the grinding wheel surface, and the worn diamond grinding wheel got sharpened.
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10

Seralathan, K., and Nandini Gupta. "Stochastic Modeling of Electric Tree Progression due to Partial Discharge Activity." In 2006 IEEE 8th International Conference on Properties and applications of Dielectric Materials. IEEE, 2006. http://dx.doi.org/10.1109/icpadm.2006.284132.

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