Relevant bibliographies by topics / Unconventional machining processes

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Unconventional machining processes'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Unconventional machining processes"

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Pandey, Shrihar, and Pankaj K. Shrivastava. "Vibration-assisted electrical arc machining of 10% B4C/Al metal matrix composite." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 6 (December 1, 2019): 1156–70. http://dx.doi.org/10.1177/0954406219890375.

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To shape advanced engineering materials, many unconventional machining processes have been developed. Electrical discharge machining is such an unconventional machining process which is very popular nowadays but it is limited by poor material removal efficiency. Electrical arc machining is another unconventional machining process which is quite similar to electrical discharge machining and is now gaining attention from research fraternity due to its high material removal efficiency. In the present research, an innovative unconventional machining process known as vibration-assisted electrical arc machining has been developed. The performance of vibration-assisted electrical arc machining has been evaluated during machining of Al–B4C metal matrix composite by considering peak current, flushing velocity of dielectric and tool vibrations as input control factors. The quality characteristics considered were material removal rate, tool wear rate, relative electrode wear rate and surface roughness. It has been observed that vibration-assisted electrical arc machining results in approximately 3000% more material removal rate as compared to conventional electrical discharge machining during machining of Al–B4C metal matrix composite. The effects of various input control factors on output parameters have also been discussed. Further modelling and optimization of the process parameters has also been done by artificial intelligence approach.
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Gamage, J. R., and A. K. M. DeSilva. "Assessment of Research Needs for Sustainability of Unconventional Machining Processes." Procedia CIRP 26 (2015): 385–90. http://dx.doi.org/10.1016/j.procir.2014.07.096.

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Kovac, Pavel, Zdenko Krajny, Ljubomir Soos, and Borislav Savkovic. "OVERVIEW OF MATERIAL PROCESSING MECHANISMS IN UNCONVENTIONAL MACHINING METHOD." Journal of Production Engineering 24, no. 1 (June 30, 2021): 1–9. http://dx.doi.org/10.24867/jpe-2021-01-001.

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From the point of view of the concept itself, technology is a set of processes, rules and habits used in the production of various objects in the most diverse spheres of production, or human activity itself. Therefore, there are several designations and naming of production technologies in the professional literature. Historically, probably the oldest systematic designation and division of production technologies and processes is given as early as 1963 in the German standard: Begriffe der Fertigungsverfahren DIN 8580. The standard defines production processes for the production of geometrically certain solids. In the paper is shown explanations of mechanisms of machining when is used unconventional machining technologies.
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Ruszaj, Adam. "Unconventional processes of ceramic and composite materials shaping." Mechanik 90, no. 3 (March 6, 2017): 188–94. http://dx.doi.org/10.17814/mechanik.2017.3.39.

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In order to reach the high quality parts of machines or tools very often ceramic or composite materials on metalic or ceramic base are being applied. Efficient shaping above mentioned materials using cutting or classical grinding is difficult because of their high mechanical properties. Rational solution is application of unconventional machining methods as: electrochemical, electrodischarge or electrochemical – electrodischarge (ECDM) in case when machined materials are at least partly conductive of electrical current. In case of shaping ceramic materials unconductive for electrical current the rational solution can be application of Spark Assisted Chemical Engraving (SACE) process – the special kind of ECDM process.
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Cieloszyk, Janusz. "Face rotary turning tools (FRTT) in high productivity process." Mechanik 92, no. 11 (November 12, 2019): 736–38. http://dx.doi.org/10.17814/mechanik.2019.11.100.

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The article presents an unconventional method of machining rolling surfaces. This method is called face rotary turning tools (FRTT) or spinning tools technology. Advantages and limitations of the method were discussed and its effectiveness in modern machining processes was shown, based on the proposed simple models.
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Grzesik, Wit. "Hybrid machining processes. Definitions, generation rules and real industrial importance." Mechanik 91, no. 5-6 (May 28, 2018): 338–42. http://dx.doi.org/10.17814/mechanik.2018.5-6.50.

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Some important trends in the development of advanced machining processes with potential applications in Production/Manufacturing 4.0 are presented. In general, both conventional and unconventional machining processes are characterized in terms of potential technological possibilities related to their hybridization allowing the performance of more productive and effective machining processes. This is due to the fact that hybrid processes considerably enhance the advantages of individual processes and minimize potential disadvantages in individual processes. Possible classification systems of hybrid processes including the CIRP terminology are overviewed and some representative examples are provided. In particular, the hybrid machining processes based on the simultaneous and controlled interaction of process mechanisms and/or energy sources leading to the synergic effect (1 + 1 = 3) on the process performance are taken into account. Some conclusions and future trends in the implementation of hybrid processes are outlined.
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JAIN, NEELESH K., and VIJAY K. JAIN. "PROCESS SELECTION METHODOLOGY FOR ADVANCED MACHINING PROCESSES." Journal of Advanced Manufacturing Systems 02, no. 01 (June 2003): 5–45. http://dx.doi.org/10.1142/s0219686703000204.

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Manufacture of a product in a desired shape and size with the desired characteristics and properties depends not only on the design of the product but also on the selection of an appropriate manufacturing process(es), which requires knowledge about the various alternatives available. This paper describes the process selection methodology for unconventional or advanced machining processes (AMPs), along with a preliminary selection strategy for basic type of manufacturing process. These two tasks along with parametric optimization form the core of an integrated and automated process planning system for an advanced machining environment. The process selection methodology for the AMPs is based on elimination and ranking strategy. To facilitate the process selection, AMPs have been reclassified or regrouped according to their material application capabilities, shape or manufacturing feature generating capabilities, operational capabilities, economic aspects, and environmental aspects. The described process selection methodologies for basic manufacturing process and AMPs, have been implemented in a software named as APSPOAMPS (Automated Process Selection and Parametric Optimization of AMPs). This paper also describes the proposed reclassifications of AMPs, implementation details of the developed software along with the two test examples.
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Shrivastava, Pankaj Kumar, Shrihar Pandey, and Shivam Dangi. "Electrical arc machining: Process capabilities and current research trends." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 15 (May 1, 2019): 5190–200. http://dx.doi.org/10.1177/0954406219846151.

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Electrical arc machining is the thermal energy-based unconventional machining process, which utilizes energy of arc to melt and vaporize workpiece material. Electrical arc machining has the capability to machine advanced materials such as metal matrix composites, superalloys, and conductive ceramics effectively. The process is considered to be efficient than most of the other unconventional machining processes in terms of the material removal rate. But it has got limitations because it results in a very poor surface finish. Tool wear rate, recast layer formation, surface and subsurface cracks, and geometrical inaccuracy are other limitations up to a certain extent. In this paper, the comprehensive review of research carried out so for in the area of electrical arc machining has been presented. The paper discusses the detailed experimental and theoretical studies done on electrical arc machining to elucidate the effects of various input control factors on different quality characteristics. The paper also contains modeling and optimization studies done so far in electrical arc machining and finally discusses the future research possibilities in the area.
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Dhande, S. G., K. P. Karunakaran, and B. K. Misra. "Geometric Modeling of Manufacturing Processes Using Symbolic and Computational Conjugate Geometry." Journal of Engineering for Industry 117, no. 3 (August 1, 1995): 288–96. http://dx.doi.org/10.1115/1.2804333.

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The present paper describes a unified symbolic model of conjugate geometry. This model can be used to study the geometry of a cutting tool and the surface generated by it on a blank along with the kinematic relationships between the tool and the blank. A symbolic algorithm for modeling a variety of shape generating processes has been developed. It has been shown that using this algorithm one can develop geometric models for conventional machining processes such as milling, turning, etc. as well as unconventional or advanced machining techniques such as Electric Discharge Machining (EDM), Laser Beam Machining (LBM) etc. The proposed symbolic algorithm has been implemented using the symbolic manipulation software, MACSYMA. The algorithm is based on the concepts of envelope theory and conjugate geometry of a pair of mutually enveloping surfaces. A case study on the manufacture of a helicoidal surface and an illustrative example are given at the end of the paper.
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Pritima, D., J. Vairamuthu, P. Gopi Krishnan, S. Marichamy, B. Stalin, and S. Sheeba Rani. "Response analysis on synthesized aluminium-scandium metal matrix composite using unconventional machining processes." Materials Today: Proceedings 33 (2020): 4431–35. http://dx.doi.org/10.1016/j.matpr.2020.07.672.

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Dissertations / Theses on the topic "Unconventional machining processes"

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Tichý, Štěpán. "Technologie drátové elektroeroze." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231987.

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This master’s thesis deals with technology of wire electrical discharge machining in theoretical and practical level. Theoretical part of the thesis explains in detail the principle of electrical discharge machining, describes functional parts and settings of a current wire EDM machines and also the possibility of using method for production of specific parts. Practical part of the thesis solves manufacturing of gearing on pinion manufactured by wire cutter EXCETEK V650 and statistically evaluates precision parameters on surfaces of the carriers taken by specific technological conditions with the same machine.
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Book chapters on the topic "Unconventional machining processes"

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Grzesik, Wit, and Adam Ruszaj. "Physical Fundamentals of Conventional and Unconventional Machining Processes." In Springer Series in Advanced Manufacturing, 35–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77107-2_4.

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Upadhyay, Ananya, Ved Prakash, and Vinay Sharma. "Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM." In Design and Optimization of Mechanical Engineering Products, 209–33. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3401-3.ch011.

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Machining can be classified into conventional and unconventional processes. Unconventional Machining Process attracts researchers as it has many processes whose physics is still not that clear and they are highly in market-demand. To predict and understand the physics behind these processes soft computing is being used. Soft computing is an approach of computing which is based on the way a human brain learns and get trained to deal with different situations. Scope of this chapter is limited to one of the soft computing optimizing techniques that is artificial neural network (ANN) and to one of the unconventional machining processes, electrical discharge machining process. This chapter discusses about micromachining on Electric Discharge Machining, its working principle and problems associated with it. Solution to those problems is suggested with the addition of powder in dielectric fluid. The optimization of Material Removal Rate (MRR) is done with the help of ANN toolbox in MATLAB.
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Upadhyay, Ananya, Ved Prakash, and Vinay Sharma. "Optimizing Material Removal Rate Using Artificial Neural Network for Micro-EDM." In Research Anthology on Artificial Neural Network Applications, 843–66. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch039.

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Machining can be classified into conventional and unconventional processes. Unconventional Machining Process attracts researchers as it has many processes whose physics is still not that clear and they are highly in market-demand. To predict and understand the physics behind these processes soft computing is being used. Soft computing is an approach of computing which is based on the way a human brain learns and get trained to deal with different situations. Scope of this chapter is limited to one of the soft computing optimizing techniques that is artificial neural network (ANN) and to one of the unconventional machining processes, electrical discharge machining process. This chapter discusses about micromachining on Electric Discharge Machining, its working principle and problems associated with it. Solution to those problems is suggested with the addition of powder in dielectric fluid. The optimization of Material Removal Rate (MRR) is done with the help of ANN toolbox in MATLAB.
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Equbal, Azhar, Md Israr Equbal, Md Asif Equbal, and Anoop Kumar Sood. "An Insight on Current and Imminent Research Issues in EDM." In Non-Conventional Machining in Modern Manufacturing Systems, 33–54. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6161-3.ch002.

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Electrical discharge machining (EDM) is an important unconventional manufacturing process which machines the workpieces by a series of recurring electrical discharges between tool and workpiece completely immersed in a dielectric. A power supply establishes an electric field between tool and workpiece while a proper gap is maintained between them by a servo controller. Electrostatic force causes electrons to get plucked out from tool and workpiece forming a channel called plasma having low dielectric strength which easily ionizes producing sparks responsible for machining the workpiece. When the power supply is withdrawn, the continuous flushing of dielectric removes the debris from machined cavity in workpiece. EDM is used in machining of dies, molds, parts of aerospace, automotive industry, and surgical components. The study presents an insight on various research issues in EDM which would help the research community to establish their research objective to investigate. Based on current research trends and need of EDM study, the chapter also proposes some important future research issues.
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Conference papers on the topic "Unconventional machining processes"

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Satyarthi, M. K., and Pulak M. Pandey. "Surface and Subsurface Study on EDG and EDM Processing of Advanced Ceramic Composite Material." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62045.

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The advanced ceramic composites are made electrically conductive by doping with the conductive phase elements like TiN, TiC, TiB2 and TiCN. The doping of the naturally occurring nonconductive ceramic composite makes it suitable to be machined by unconventional machining processes where conductivity of the material plays prominent role. Though, the ceramic materials are fragile in nature, these are custom-tailored for the engineering applications. The machining of the ceramic material by conventional processes is quite difficult and leads to failure of the material under high cutting forces due to its fragile nature. In most of the cases deformities like surface and subsurface cracks, inclusion of pits and voids, deteriorates the functionality of the ceramic material. In our work, we have studied the surface and subsurface characteristics, while processing the material by electric discharge machining (EDM) and electric discharge grinding (EDG) processes. A setup has been designed, developed and mounted as an attachment on die-sinking EDM machining facility to carry out the EDG experiments. The conductive alumina ceramic has been chosen as workpiece material for processing. The surface characteristics has been observed by scanning electron microscopy (SEM) at the resolution of 1000X for EDG processed work pieces, and at 500X for EDM. In EDM machining, the surface contains the recast layer whereas in EDG, the recast layer is either removed or swept uniformly along the surface giving good glossy surface finish. It has been found that the components produced by EDM process contain prominent surface and subsurface cracks whereas such deformities are not visible in case of EDG processing. The best surface finish achieved is of the order of 0.04μm when processed by EDG.
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Gupta, T. V. K., Puneet Tandon, J. Ramkumar, and Nalinaksh S. Vyas. "Influence of Process Parameters on the Dimensions of the Channels Prepared Using Abrasive Water Jet Machining." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64063.

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Preparation of micro/macro channels using unconventional machining methods/processes on hard to machine materials is increasingly in demand in the micro machining industry. AWJM is one such process that can be used for the creation of these channels. Achieving the dimensional accuracy is a challenge because process is influenced by large set of process parameters and further in depth milling process, it is much more challenging than anticipated unlike in conventional machining process. The current research is an attempt to create a channel with varying operating parameters (abrasive size, flow rate, standoff distance and traverse speed) and address the issues of 3D shape generation which is nothing but an overlap of channels for a specific freeform surface. The paper presents the variations in the dimensions of the channel with process parameters. Traverse speed decides the exposure time of the material to the jet and also the erosion capabilities. The experimental results reveal that the channel dimensions are dependent on the standoff distance which leads to the abrasive particle velocity distributions. Results obtained reveals that depth of cut is mainly dependent on the traverse speed followed by particle size. The width of the cut is dependent on the jet diameter which changes with standoff distance. The taper cut is mainly because of the particle distribution which is governed by the abrasive size and the abrasive flow rate. Proceeding in this way, we can understand the influence of process parameters on the dimensional characteristics and further to establish a base for creating complex shapes using AWJM.
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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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