Statistical evaluation and performance analysis of electrical discharge machining (EDM) characteristics of hard Ti-6Al-2Sn-4Zr-2Mo alloy

Perumal, A.; Azhagurajan, A.; Baskaran, S.; Prithivirajan, R.; Narayansamy, P

doi:10.1088/2053-1591/ab06da

Cited by 29 publications

(9 citation statements)

References 29 publications

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“…In order to make the CAMP-services customer-centric research has to be conducted to find the ways of making services available through CAMP helpful for the customers to choose them efficiently [59][60][61] . In this regard, architecture of an IoT enabled CAMP can be designed based on the Bayesian Networks 62) (BNs) where decision making can be linked to hybrid Multi Criteria Decision-Making (MCDM) method to build an informative environment for product development supporting design and process planning [63][64][65][66] .…”

Section: Collaborative Rapid Product Development With Campmentioning

confidence: 99%

A Perspective on Advances in Cloud-based Additive Manufacturing

Khan¹,

Arora²,

Kumar³

et al. 2022

Evergreen

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With advances in technology coupled with Industry 4.0, it has become a reality to provide real time information along with monitoring 3D printing process remotely. The unique benefits associated with additive manufacturing (AM) is its potential to produce complex-shaped personalized products with reduced material waste, fewer cost of manufacture, lesser consumption of energy during manufacturing, while allowing in producing the products on-demand. This paper covers the features of cloud-based Additive Manufacturing (AM) by describing about Sustainable Distributed Manufacturing, Automated Order-Processing, Smart resource efficiency improvement, Big data-driven, smart and sustainable manufacturing, resource sharing between different stakeholders, rapid product development with cloud-based AM Platform (CAMP) and cloud-based manufacturing process monitoring. The paper aims to study the recent advances that took place in cloud-based AM and enlist its salient features to help researchers and manufacturing industry adopt the same and get the basic information. Big data-driven, smart and sustainable manufacturing is the present need of manufacturing at its full potential with secure, real-time communication and intelligent process monitoring and diagnostics.

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Section: Collaborative Rapid Product Development With Campmentioning

confidence: 99%

A Perspective on Advances in Cloud-based Additive Manufacturing

Khan¹,

Arora²,

Kumar³

et al. 2022

Evergreen

View full text Add to dashboard Cite

show abstract

“…The different machining surfaces of EDM helps to integrate the context of a metal matrix based on the technique of different parameters. The components of the given surfaces consist of some layer that generally occurs to transfer the methods of integration [41][42][43] .…”

Section: Edm Surface Integritymentioning

confidence: 99%

Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

Jain¹,

Kumar²,

Shrivastava³

2021

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Metal Matrix composite is a metal reinforced with two or more constituents which can be any other materials either metal or non-metal. Metal matrix composites (MMCs), which are inherently intelligent, are lightweight and high-performance, ever-expanding materials. The structural and functional properties of these materials may be modified by industrial requirements. Researchers and the industry are attracted by the process technology used in the production and processing of these products. The hybrid-electric discharge process for MMCs is a promising and the most effective nonconventional process. It has greater expertise in manufacturing complex shapes with greater precision. This paper gives an updated analysis of the development and advantages of various routes for composite manufacturing and machining. It reports on several realistic analyzes and study results, including various manufacturing and processing problems for MMC Since the last few years, hybrid electrical discharge machining has been an active field of research in critical and nonconventional machining. This paper includes annual research in production, traditional machining, unconventional machining, and hybrid MMC machining. The final part of the paper addresses conclusions and future scope.

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“…Combined with the XRD results of our previous research [25], a large quantity of microspheres is found on the machined surface. This is because the aluminum matrix can be sublimated under an ultrahigh temperature field (up to 10,000 • C) [8,[26][27][28][29] due to discharge sparks. The sublimated aluminum matrix can become solid due to the cooling effect of the dielectric during the pulse-off time.…”

Section: Machined Surface Characteristicsmentioning

confidence: 99%

Analysis and Optimization of the Machining Characteristics of High-Volume Content SiCp/Al Composite in Wire Electrical Discharge Machining

et al. 2021

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With the properties of high specific strength, small thermal expansion and good abrasive resistance, the particle-reinforced aluminum matrix composite is widely used in the fields of aerospace, automobile and electronic communications, etc. However, the cutting performance of the particle-reinforced aluminum matrix composite is very poor due to severe tool wear and low machining efficiency. Wire electrical discharge machining has been proven to be a good machining method for conductive material with any hardness. Even so, the high-volume SiCp/Al content composite is still a difficult-to-machine material in wire electrical discharge machining due to the influence of insulative the SiC particle. The goal of this paper is to analyze the machining characteristics and find the optimal process parameters for the high-volume content (65 vol.%) SiCp/Al composite in wire electrical discharge machining. Experimental results show that the material removal method of the SiCp/Al composite includes sublimating, decomposing and particle shedding. The material removal rate is found to increase with the increasing pulse-on time, first increasing and then decreasing with the increasing pulse-off time, servo voltage, wire feed and wire tension. Pulse-on time and servo voltage are the dominant factors for surface roughness. In addition, the multi-objective optimization method of the nondominated neighbor immune algorithm is presented to optimize the process parameters for a fast material removal rate and low surface roughness. The optimized process parameters can increase the material removal rate by 34% and reduce the surface roughness by 6%. Furthermore, the effectiveness of the Pareto optimal solution is proven by the verified experiment.

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Statistical evaluation and performance analysis of electrical discharge machining (EDM) characteristics of hard Ti-6Al-2Sn-4Zr-2Mo alloy

Cited by 29 publications

References 29 publications

A Perspective on Advances in Cloud-based Additive Manufacturing

A Perspective on Advances in Cloud-based Additive Manufacturing

Fabrication and Machining of Metal Matrix Composite Using Electric Discharge Machining: A Short Review

Analysis and Optimization of the Machining Characteristics of High-Volume Content SiCp/Al Composite in Wire Electrical Discharge Machining

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