Experimental modelling and optimisation of electrical arc machining of Al-B<sub>4</sub>C metal matrix composite

Pandey, Shrihar; Shrivastava, Pankaj; Dangi, Shivam; Singh, Pushpendra

doi:10.1080/14484846.2019.1701395

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…It is worth noting that low porosity and high density are deemed desirable characteristics for sputtering targets [39][40][41]. However, an increased ZnO content hinders the free movement of electrons, resulting in an unfavourable increase in the electrical resistance [42,43]. This is reflected in the results of the room temperature electron mobility measurements: Zn-25%ZnO, Zn-50% ZnO, and Zn-75%ZnO have electron mobilities of 1184.2, 1.862, and 0.365 cm 2 Vs −1 , respectively.…”

Section: Resultsmentioning

confidence: 99%

Cold-spray manufacturing of Zn/ZnO nanocomposite targets for ZnO sputtering

Kadkhodaee

Abdollah-zadeh

Assadi

et al. 2022

Surface Engineering

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The quality of sputtered thin films depends largely on the employed target's chemical, electrical, and microstructural characteristics. This paper explores the application of cold spraying (CS) in manufacturing dense, uniform, and high-performance sputtering targets for ZnO thin films. Zn/ZnO nanocomposite powders with 25, 50, and 75 wt-% ZnO were cold sprayed on Cu substrate. The samples were characterized with respect to their prime properties as well as their performance when used as targets to produce ZnO thin films. By increasing the amount of the nanoparticles in the target, the electrical resistivity and densification of the targets increased at the price of decreased deposition efficiency. Furthermore, the maximum sputtering rate and the most uniform thin film were obtained from the target containing 50 wt-% ZnO. The results confirm the viability of the CS method for manufacturing high-quality Zn/ZnO sputtering targets that can be directly deposited on backplates without additional adhesion treatments.

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Section: Resultsmentioning

confidence: 99%

Cold-spray manufacturing of Zn/ZnO nanocomposite targets for ZnO sputtering

Kadkhodaee

Abdollah-zadeh

Assadi

et al. 2022

Surface Engineering

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“…These materials have therefore been machined using advanced machining processes. Among advanced machining processes, the electric discharge machining (EDM) process has been proven highly effective for machining Al-MMCs [18,19]. Table 1 illustrates the review of past research on multi-response optimization of EDM/WEDM processes.…”

Section: Introductionmentioning

confidence: 99%

Parametric analysis, modeling and optimization of the process parameters in electric discharge machining of aluminium metal matrix composite

Kumar,

Wadhwa,

Akhai

et al. 2024

Eng. Res. Express

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Optimizing electric discharge machining (EDM) for aluminum/SiCp metal matrix composites poses challenges due to intricate machine parameters and process complexity , impacting process economy and elevating product costs. The research aims to find the optimal combination of process parameters which include pulse on-time, pulse current, duty cycle (%), gap voltage, sensitivity and flushing pressure for EDM of Al/SiCp-MMC using a copper electrode for the selected response factors such as material erosion rate and surface roughness, Ra. The experiments were designed using the central composite design of response surface methodology and an advanced optimization technique known as Teaching-learning-based optimization (TLBO), is applied to find the optimal combination of process parameters to obtain maximum material erosion rate subject to the desired range of surface roughness (SR), Ra. The combination of the high pulse on-time (i.e. 150µs) and high pulse current (i.e. 12A) results in high material removal rate with deep craters on the machined surface clearly visible in SEM images contrasting the minimized surface roughness at lower values of pulse on-time (50µs) and the pulse current (4A). Pulse on - time (Ton) is found to be the most significant factor for material erosion rate and surface roughness with percentage contribution of 70.86 and 54.9 respectively for optimization of the response. The regression models were developed at 95% confidence level for material removal rate and surface roughness with R2 value of 0.93 and 0.95 respectively signifying high degree of accuracy in predicting the response. Confirmation tests conducted to check the adequacy of the established models revealed that the percentage error between the predicted and experimental responses is found to be within acceptable levels. Electron discharge machining of the aluminium metal matrix composite at the optimized conditions could provide economical aspect in the aerospace and automobile industry.

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Parametric optimization of response parameter of Nd-YAG laser drilling for basalt-PTFE coated glass fibre using genetic algorithm

Sahoo¹,

Mishra²

2023

Journal of Engineering Research

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Experimental modelling and optimisation of electrical arc machining of Al-B₄C metal matrix composite

Cited by 6 publications

References 21 publications

Cold-spray manufacturing of Zn/ZnO nanocomposite targets for ZnO sputtering

Cold-spray manufacturing of Zn/ZnO nanocomposite targets for ZnO sputtering

Parametric analysis, modeling and optimization of the process parameters in electric discharge machining of aluminium metal matrix composite

Parametric optimization of response parameter of Nd-YAG laser drilling for basalt-PTFE coated glass fibre using genetic algorithm

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Experimental modelling and optimisation of electrical arc machining of Al-B4C metal matrix composite

Cited by 6 publications

References 21 publications

Cold-spray manufacturing of Zn/ZnO nanocomposite targets for ZnO sputtering

Cold-spray manufacturing of Zn/ZnO nanocomposite targets for ZnO sputtering

Parametric analysis, modeling and optimization of the process parameters in electric discharge machining of aluminium metal matrix composite

Parametric optimization of response parameter of Nd-YAG laser drilling for basalt-PTFE coated glass fibre using genetic algorithm

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Experimental modelling and optimisation of electrical arc machining of Al-B₄C metal matrix composite