Microstructural Evolution and Mechanical Properties of Graphene-Reinforced Ti-6Al-4V Composites Synthesized via Spark Plasma Sintering

Wang, Wei; Zhou, Haixiong; Wang, Qingjuan; Wei, Baojia; Xin, Shewei; Gao, Yuan

doi:10.3390/met10060737

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…Few researchers reinforced graphene into titanium matrix composites (TMCs) using SPS. [30][31][32][33] Wang et al 34 fabricated GNPs reinforced Ti-6Al-4V composites. It was revealed that the strength of the composites depends on the concentration of GNPs.…”

Section: Introductionmentioning

confidence: 99%

Effect of multi-layer graphene on microstructure and mechanical properties of titanium-based composites

Sharma

Singla

Singh

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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To achieve the enhanced mechanical properties of the titanium grade 5 (Ti64) alloy, multi-layer graphene (MLG) reinforced Ti64 nanocomposites were successfully fabricated by using spark plasma sintering process. Spherical Ti64 particles with an average diameter of 25 μm, MLG with an average diameter of 5 μm, and an average thickness of 2.5 nm were used in the present study. Microstructure study reveals the in-suit reaction between Ti (matrix) and C (reinforcement) that leads to the formation of TiC along the interface. Further, it was observed that a maximum grain refinement of 32.56% occurs in the Ti64/1.2 wt% MLG nanocomposite. Strengthening along the Ti64 and MLG interface and grain refinement are the primary reasons for the enhanced mechanical properties of the nanocomposites. Nanocomposites with 1.2 wt% MLG exhibit nanohardness of 5.29 GPa, elastic modulus of 119.8 GPa which is 68.4% and 140.5% higher compared with that of Ti64 sintered alloy. The results showed that MLG reinforcement plays an important role in improving the mechanical properties of Ti64 nanocomposites.

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Section: Introductionmentioning

confidence: 99%

Effect of multi-layer graphene on microstructure and mechanical properties of titanium-based composites

Sharma

Singla

Singh

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Among these methods, the SPS (Spark Plasma Sintering) method is the most widespread. This technology allows for the obtaining of a wide range of materials [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Properties of WCCo Composites Produced by the SPS Method Intended for Cutting Tools for Machining of Wood-Based Materials

et al. 2021

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This paper presents the possibility of using the Spark Plasma Sintering (SPS) method to obtain WCCo composite materials. Such materials are used as cutting blades for machining wood-based materials. Two series of composites, different in grain size and cobalt content, were analyzed in the paper. The produced materials were characterized using Scanning Electron Microscopy (SEM), X-ray diffraction (XRD), and tribological properties were determined. In addition, preliminary tests were carried out on the durability of the blades made of sintered WCCo composites while machining three-layer chipboard. The results of the microstructure analysis proved that the SPS method makes it possible to obtain solid composites. Phase analysis showed the occurrence of the following phases: WC, Co, and Co3W9C4. The lowest friction coefficient value was found in samples sintered using powder with an average primary particle size of 400 nm (ultrafine).

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“…Graphene-reinforced titanium nanocomposites with different graphene contents have been successfully fabricated by powder metallurgy and rapid consolidation techniques, namely spark plasma sintering (SPS), hot isostatic pressing (HIP), hot pressing (HP), and high-frequency induction heating (HFIH) techniques. Many studies have been focused on the preparation and investigation of the mechanical properties of the consolidated graphene reinforced titanium matrix nanocomposites [ 2 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. Thereafter, the machinability analysis of these high-performance materials becomes very necessary after their fabrication and that needs more investigation.…”

Section: Introductionmentioning

confidence: 99%

Milling of Graphene Reinforced Ti6Al4V Nanocomposites: An Artificial Intelligence Based Industry 4.0 Approach

et al. 2020

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The studies about the effect of the graphene reinforcement ratio and machining parameters to improve the machining performance of Ti6Al4V alloy are still rare and incomplete to meet the Industry 4.0 manufacturing criteria. In this study, a hybrid adaptive neuro-fuzzy inference system (ANFIS) with a multi-objective particle swarm optimization method is developed to obtain the optimal combination of milling parameters and reinforcement ratio that lead to minimize the feed force, depth force, and surface roughness. For achieving this, Ti6Al4V matrix nanocomposites reinforced with 0 wt.%, 0.6 wt.%, and 1.2 wt.% graphene nanoplatelets (GNPs) are produced. Afterward, a full factorial approach was used to design experiments to investigate the effect of cutting speed, feed rate, and graphene nanoplatelets ratio on machining behaviour. After that, artificial intelligence based on ANFIS is used to develop prediction models as the fitness function of the multi-objective particle swarm optimization method. The experimental results showed that the developed models can obtain an accurate estimation of depth force, feed force, and surface roughness with a mean absolute percentage error of 3.87%, 8.56%, and 2.21%, respectively, as compared with experimentally measured outputs. In addition, the developed artificial intelligence models showed 361.24%, 35.05%, and 276.47% less errors for depth force, feed force, and surface roughness, respectively, as compared with the traditional mathematical models. The multi-objective optimization results from the new approach indicated that a cutting speed of 62 m/min, feed rate of 139 mm/min, and GNPs reinforcement ratio of 1.145 wt.% lead to the improved machining characteristics of GNPs reinforced Ti6Al4V matrix nanocomposites. Henceforth, the hybrid method as a novel artificial intelligent method can be used for optimizing the machining processes with complex relationships between the output responses.

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Microstructural Evolution and Mechanical Properties of Graphene-Reinforced Ti-6Al-4V Composites Synthesized via Spark Plasma Sintering

Cited by 11 publications

References 42 publications

Effect of multi-layer graphene on microstructure and mechanical properties of titanium-based composites

Effect of multi-layer graphene on microstructure and mechanical properties of titanium-based composites

Properties of WCCo Composites Produced by the SPS Method Intended for Cutting Tools for Machining of Wood-Based Materials

Milling of Graphene Reinforced Ti6Al4V Nanocomposites: An Artificial Intelligence Based Industry 4.0 Approach

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