Investigation on the material removal and surface roughness in ultraprecision machining of Al/B4C/50p metal matrix composites

Niu, Zhichao; Cheng, Kai

doi:10.1007/s00170-019-04553-w

Cited by 10 publications

(5 citation statements)

References 31 publications

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“…Bhushan et al [9] studied the effect of cutting speed, cutting depth and feed rate on the surface roughness when machining 7075 Al and MMCs with 10 wt.% SiC particulates. Niu and Cheng [10] investigated the B 4 C/ Al2024 composite and showed that the roughness of the machined surface during precision machining of particle-reinforced MMCs can be reduced by increasing the cutting speed and reducing the depth. Güneş et al [11] investigated the surface roughness and tribological properties of MMCs based on CuSn10 bronze reinforced with GGG40 cast iron particles.…”

Section: Introductionmentioning

confidence: 99%

Effects of Hard Oxides Reinforcing of Iron-Based MMCs on the Surface Topography Features after Finish Turning

Maruda¹,

Leksycki²,

Feldshtein³

et al. 2023

Adv. Sci. Technol. Res. J.

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Metal matrix composites (MMCs) are widely used in various industrial applications. Various types of reinforcing particles are added to MMCs to improve their mechanical and functional properties. Optimal processing conditions for the elements manufactured from MMCs ensure the effi ciency of their use. This study describes the surface topography parameters of iron-based MMCs reinforced with graphite, alumina and zirconia nanoparticles depending on their percentage. The Simplex Lattice Design (SLD) method was used as the Design of Experiments(DoE) method and the range of additives change was 0−1 wt%. The specimens were machined under dry turning conditions using PVD-coated GC1115 carbide inserts. Depth of cut, cutting speed and feed values were stable, typical of fi nish turning. The surface topography was analyzed using Sensofar S Neox optical profi lometer and Mountains Map software. Sa and Sz surface amplitude parameters, most widely used in the production industry, were evaluated according to ISO 25178-2:2012 standard. It has been shown that reinforcing additives and their amount in the mixture unambiguously aff ect the geometric features of the surface after turning process of the iron-based MMCs. Therefore, it is possible to select such a combination of particulates that will provide the expected quality of the machined surface.

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Section: Introductionmentioning

confidence: 99%

Effects of Hard Oxides Reinforcing of Iron-Based MMCs on the Surface Topography Features after Finish Turning

Maruda¹,

Leksycki²,

Feldshtein³

et al. 2023

Adv. Sci. Technol. Res. J.

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show abstract

“…Every scientific and technological leap of mankind is inseparable from the understanding and application of materials [2]. At the same time, with the development of science and technology, mankind has developed a variety of new materials, indicating that the application of materials has entered a higher stage from the backward era [3]. The application of these new materials in various fields has fundamentally changed the traditional way of material selection and product design and has had an incredible impact in the fields of industry and art [4].…”

Section: Introductionmentioning

confidence: 99%

Data Analysis of Ceramic Material Color Matching Collection Points in Furniture Design Based on the Image Difference Prediction Model

Zhou

2023

Journal of Function Spaces

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The manufacturing process of ceramic materials and exquisite patterns is not simply artistic acts. At the same time, it condensed the excellent traditional culture of ancient China. The application of ceramic materials in modern furniture can not only enhance the taste of living room culture but also show the charm of China’s ceramic culture. Objective. To optimize the scientific data model required by traditional ceramic materials. On the basis of image difference prediction calculation, the data of ceramic material color matching collection points were analyzed and processed, and the image difference prediction model was established. This paper introduces the application and development of ceramic materials in furniture industry. On the basis of the traditional image difference prediction algorithm, the consideration of image difference and difference prediction expansion is added, and the image difference prediction calculation model of ceramic material color matching is established. The survey results show that 83% of customers are very satisfied with the color matching of new ceramic materials calculated by image difference prediction. This experiment uses image difference prediction model to remove the redundant pixels of ceramic material color and make multiple judgments on color display. According to the initial color data of the collection points, this experiment finally obtained a new combination color matching of ceramic wardrobe, which is more suitable for the “minimalist” and “quiet” styles.

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“…Chintada et al [21] found abrasion as the dominant factor causing flank tool wear while machining aluminium composites reinforced with SiC and rice husk ash particulates. Niu and Cheng [22] proposed that surface roughness in machining components can be reduced by decreasing depth of cut and increasing cutting velocity. Also, with small feed rate, waviness on the surface decreases, ultimately enhancing machined surface quality.…”

Section: Turning Studies On Aluminium Matrix Compositesmentioning

confidence: 99%

Turning of Aluminium Composites: Characteristics and Future Prospects

Gupta

Singh

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Aluminium matrix composites have widespread applications in different industrial areas including automobile and aerospace owing to their improved mechanical and tribological properties over conventional monolithic materials. As such, machining of these metal matrix composites is an important aspect to be studied in order to manufacture desired components with close tolerances. Presence of hard abrasive ceramic reinforcements in composites increases the chance of tool wear and hence, increased machining cost during conventional machining process. In order to improve machining characteristics of aluminium composites, machining is carried out using specialized carbide tools (both coated and uncoated), polycrystalline diamond inserts, CVD diamond coated inserts, etc. This paper presents a state-of-the-art review on turning of aluminium composites. Factors affecting machinability like content, size, and morphology of reinforcement along with matrix hardness are discussed. Effect of process variables such as cutting speed, feed rate, depth of cut, etc. on response variables such as tool wear, surface finish, cutting forces, cutting temperature, etc. has been highlighted. Moreover, failure mechanisms involved in turning process occurring due to debonding, plastic deformation, particle fracture, etc. are deliberated in this study. Various modelling and optimization studies in this area are discussed in detail as well. Furthermore, scope for future work in this area including sustainable machining is also elucidated.

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Investigation on the material removal and surface roughness in ultraprecision machining of Al/B4C/50p metal matrix composites

Cited by 10 publications

References 31 publications

Effects of Hard Oxides Reinforcing of Iron-Based MMCs on the Surface Topography Features after Finish Turning

Effects of Hard Oxides Reinforcing of Iron-Based MMCs on the Surface Topography Features after Finish Turning

Data Analysis of Ceramic Material Color Matching Collection Points in Furniture Design Based on the Image Difference Prediction Model

Turning of Aluminium Composites: Characteristics and Future Prospects

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