Influence of reinforcement particles on the mechanism of the blasting erosion arc machining of SiC/Al composites

Gu, Lixu; Chen, Jipeng; Zhu, Yingke; Zhao, Wansheng; Rajurkar, K. P.

doi:10.1007/s00170-018-2484-x

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…The debris is generally larger at a higher discharge energy (e.g., at a high current and long pulse duration). For a current of 500 A and a pulse duration of 8 ms, the debris can be larger than 200 lm [24]. According to the simulation conducted in this study, most of the eroded particles can be expelled within 2-3 ms.…”

Section: Discussionmentioning

confidence: 77%

Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode

Chen

Zhao

et al. 2020

Adv. Manuf.

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Blasting erosion arc machining (BEAM) is a typical arc discharge machining technology that was developed around 2012 to improve the machinability of difficult-to-cut materials. End milling BEAM has been successfully developed and preliminarily applied in industry. However, owing to the high complexity of the flow field and the difficulty of observing debris in the discharge gap, studies of the flow and debris in end milling BEAM are limited. In this study, fluid dynamics simulations and particle tracking are used to investigate the flow characteristics and debris ejection processes in end milling BEAM. Firstly, the end milling BEAM mode is introduced. Then the numerical modeling parameters, geometric models, and simulation methods are presented in detail. Next, the flow distribution and debris ejection are described, analyzed, and discussed. The velocity and pressure distributions of the axial feed and radial feed are observed; the rotation speed and milling depth are found to have almost no effect on the flow velocity magnitude. Further, debris is ejected more rapidly in the radial feed than in the axial feed. The particle kinetic energy tends to increase with increasing milling depth, and smaller particles are more easily expelled from the flushing gap. This study attempts to reveal the flow field properties and debris ejection mechanism of end milling BEAM, which will be helpful in gaining a better understanding of BEAM.

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Section: Discussionmentioning

confidence: 77%

Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode

Chen

Zhao

et al. 2020

Adv. Manuf.

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“…The linear predictive model was also developed for MRR and REWR. In different research Gu et al [5] studied the impact of SiC particles on SiC/Al MMC during BEAM. Their findings revealed that percentage (%) of SiC particles has considerable effect on material removal.…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of VEAM of 10% B₄C/Al metal matrix composite using ANN-SCA approach

Gautam

Singh²,

Shrivastava

2021

Eng. Res. Express

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Shaping advanced materials such as superalloys and metal matrix composites is still a herculean task for the engineering fraternity. People are developing innovative manufacturing processes (MPs) to shape such kind of advanced materials. Electrical arc machining (EAM) is one such subtractive MP which is under development stage. The present paper discusses one newly developed advanced machining process named as vibration assisted EAM (VEAM). The machining on metal matrix composite has been performed using VEAM. Two of the performance indicators that are material removal rate (MRR) and tool wear rate has been explored during machining using VEAM. Experimental findings indicate that VEAM results in significantly enhanced MRR as compared to conventional EDM. At the last the single objective optimization has been done by using hybrid artificial neural network & four advanced optimization algorithms such as self-adaptive differential evolution, shuffled frog leaping algorithm, coordinated aggregation based particle swarm optimization and sine cosine algorithm (SCA). It has been observed that SCA demonstrate better performance as compared to its peers.

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“…In another work, Gu et al. 10 performed BEAM on SiC/Al MMC to study the influence of SiC particles on the process behavior. They concluded that % fraction of SiC particles has significant influence on material removal mechanism.…”

Section: Introductionmentioning

confidence: 99%

Vibration-assisted electrical arc machining of 10% B₄C/Al metal matrix composite

Pandey

Shrivastava

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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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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Influence of reinforcement particles on the mechanism of the blasting erosion arc machining of SiC/Al composites

Cited by 9 publications

References 18 publications

Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode

Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode

Modeling and optimization of VEAM of 10% B₄C/Al metal matrix composite using ANN-SCA approach

Vibration-assisted electrical arc machining of 10% B₄C/Al metal matrix composite

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Influence of reinforcement particles on the mechanism of the blasting erosion arc machining of SiC/Al composites

Cited by 9 publications

References 18 publications

Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode

Modeling of flow and debris ejection in blasting erosion arc machining in end milling mode

Modeling and optimization of VEAM of 10% B4C/Al metal matrix composite using ANN-SCA approach

Vibration-assisted electrical arc machining of 10% B4C/Al metal matrix composite

Contact Info

Product

Resources

About

Modeling and optimization of VEAM of 10% B₄C/Al metal matrix composite using ANN-SCA approach

Vibration-assisted electrical arc machining of 10% B₄C/Al metal matrix composite