Effect of Powder Metallurgy Process and its Parameters on the Mechanical and Electrical Properties of Copper-Based Materials: Literature Review

Kumar, Naveen; Bharti, Ajaya; Dixit, Manish; Nigam, Aditya

doi:10.1007/s11106-020-00174-1

Cited by 39 publications

(13 citation statements)

References 27 publications

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“…e speed and development of imaging technology are no different from the development of computer vision technology and digital imaging technology [27]. In the process of image processing, due to the interference of electrical signals and surrounding areas, there will be some random noise in the image [28].…”

Section: Machine Vision and Image Automatic Measurementmentioning

confidence: 99%

Automatic Measurement of Nanoimage Based on Machine Vision and Powder Metallurgy Materials

Jiang

Zhou

2022

Advances in Materials Science and Engineering

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The advantages of noncontact, high-efficiency, and fully automatic vision measurement technology make it widely used in industrial inspection and other fields. This study is based on the research of machine vision nanoimage automatic measurement and powder metallurgy materials. It aims to apply the machine vision imaging-related image processing technology principle to the automatic measurement of nanoimages and analyze the related properties of powder metallurgy materials and their image applications. This study mainly combines theory and practice to carry out experiments and data acquisition and analysis. On the one hand, it has a theoretical understanding of machine vision imaging principles and image segmentation; it also analyzes the properties and applications of powder metallurgy materials. On the other hand, on the basis of these theories, machine vision technology is fully applied to analyze the related physical properties such as the gap and density between tiny particles. Among them, the image measurement technology of moving targets is applied, and the model of the machine vision system is established. After a series of experimental verifications, the accuracy of the machine vision image measurements was fully guaranteed. The experimental results show that with the aid of machine vision technology, the accuracy of the observed data has been greatly increased; the maximum porosity of powder metallurgy materials has increased from 6.56 to 8.22; the maximum density has increased from 6.46 to 8.40. This demonstrates that automated image measurement based on machine vision technology can greatly improve the accuracy of measurements.

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Section: Machine Vision and Image Automatic Measurementmentioning

confidence: 99%

Automatic Measurement of Nanoimage Based on Machine Vision and Powder Metallurgy Materials

Jiang

Zhou

2022

Advances in Materials Science and Engineering

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Section: Introductionmentioning

confidence: 99%

“…Likewise, it has some drawback in terms of the cost of fine powder of the raw materials and the die materials. Tjong 4 and Kumar et al 12 showed that the impact of compaction pressure on the electrical conductivity and hardness property at different levels of pressures. Mechanical and electrical properties are improved when small particle size of 3–5 µm of Cu-matrix material used.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, it depends on the process parameter used to follow for providing the desired property such as compaction pressure, sintering temperature, sintering time, type and rate of reinforcement, size of matrix, and reinforcing elements. 12 Currently, the Mg MMCs have a broad area of application toward mass saving application, that is, less fuel consumption, and also the requirement of higher strength and stiffness. In addition, it is obvious that Mg composite are the lightest structural alloys.…”

Section: Introductionmentioning

confidence: 99%

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AZ31-Mg metal matrix composite in metallurgical and testing approaches

Maryam

Sinha

Kefyalew

et al. 2023

Advances in Mechanical Engineering

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The objective of this research is to experimentally investigate the metallurgical, mechanical, and tribological behavior of [Formula: see text], SiC, and [Formula: see text] reinforced AZ31 magnesium metal matrix composite (MMC) fabricated via powder metallurgy process. Accordingly, the mixing of the powders was carried out through ball milling operation at various times with constant speeds. The compaction of the milled powder was carried out on hydraulic press at various compaction pressures. The improvement of the wear resistance performance at 10 and 5 vol.% SiC were revealed around 12.9% and 25.8%. The fracture mechanisms of the optimal specimen resulting from the compression test were studied under SEM observation and it revealed that both ductile and brittle fractures occurred. The results from the confirmation test revealed an improvement of 2.04 g/cm3, 13%, 110.35 MPa, and 1293.399 MPa for actual density, porosity, ultimate strength, and hardness, respectively. The uniform nature of particle distribution was observed in SEM micrograph under investigation of the microstructure of the sample. The average particle size of the sample was also obtained around 809.14 nm. The proposed material is expected to be useful for various automotive and aerospace applications precisely for pistons and wings of airplane in aerospace.

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“…Compared with iron-based materials, copper-based oil-bearing material has the advantages of low friction factor, good thermal conductivity, and smooth operation. It is suitable for high-speed operation [6][7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

The Effect of Powder Composition on the Microstructure and Properties of Bronze Oil-bearings

Zou,

Yu,

et al. 2023

J. Phys.: Conf. Ser.

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The effects of different powder compositions on the microstructure and properties of the sintered oil bearings were investigated. Three different types of powder were used for the comparative tests. The research conclusions show that three different types of raw material powders have different pore structures. In the case of mixed powders, the sintered samples have a self-lubricating function that can both store oil and supply oil to the friction surface through capillary pores. When the raw material is a mixed powder in which Cu powder is less than 75 μm, it has the best self-lubricating function and oil retention.

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Effect of Powder Metallurgy Process and its Parameters on the Mechanical and Electrical Properties of Copper-Based Materials: Literature Review

Cited by 39 publications

References 27 publications

Automatic Measurement of Nanoimage Based on Machine Vision and Powder Metallurgy Materials

Automatic Measurement of Nanoimage Based on Machine Vision and Powder Metallurgy Materials

AZ31-Mg metal matrix composite in metallurgical and testing approaches

The Effect of Powder Composition on the Microstructure and Properties of Bronze Oil-bearings

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