Study of TiC particle distribution in Al-MMCs using finite element modeling

Josyula, Sravan Kumar; Narala, Suresh Kumar Reddy

doi:10.1016/j.ijmecsci.2018.04.004

Cited by 27 publications

(3 citation statements)

References 28 publications

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“…To meet the needs for advanced composites, it is important to achieve a relatively high ductility when pursuing a higher-strength composite. To achieve higher performance, many new reinforcements and matrices are matched to obtain ideal combinations of the composite [ 4 , 5 , 6 ]. The existence of the particle reduces the ductility, which limits the application of the PRMMCs in the engineering field.…”

Section: Introductionmentioning

confidence: 99%

Strengthening and Weakening Effects of Particles on Strength and Ductility of SiC Particle Reinforced Al-Cu-Mg Alloys Matrix Composites

et al. 2021

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The strengthening and weakening effects of SiC particles on composite strength and ductility were studied. Al-Cu-Mg alloys matrices with three different mechanical properties were used. Their yield strength, ultimate strength, and elongation range from 90 to 379 MPa, 131 to 561 MPa, and 18% to 31%, respectively. SiC particles with sizes of 4, 8, 12, 15, 20, and 30 μm were used to reinforce these three matrices, separately, and the composites of eighteen combinations of the particle sizes and matrix strengths were manufactured. Yield strength, ultimate strength, elongation, and fracture morphology of these composites were characterized. Based on the analysis, the strengthening to weakening behavior on strength and ductility were comprehensively discussed. The critical particle size having the best ductility was obtained. The strengthening limit and match range of the particle and the matrix to achieve effective strengthening were defined as a function of the particle size and matrix strength. This work offers an important reference for optimization of mechanical properties of the particle-reinforced metal matrix composites.

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Section: Introductionmentioning

confidence: 99%

Strengthening and Weakening Effects of Particles on Strength and Ductility of SiC Particle Reinforced Al-Cu-Mg Alloys Matrix Composites

et al. 2021

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“…Although the strain is expected to increase, the negligible drop in plastic strain from 50 m/min to 100 m/min could be due to the assumption made in the model. Being one of the few models developed for aluminium based syntactic foams, the plastic strain (also known as equivalent plastic strain) contour values were comparable to Josyula and Narala’s paper, which discusses TiC particle distribution in aluminium based composite using FE [ 30 ]. Variation in peak cutting temperature is also observed, with an increase of 50% as the cutting speed is increased from 25 m/min to 100 m/min.…”

Section: Resultsmentioning

confidence: 56%

Computational Analysis of Machining Induced Stress Distribution during Dry and Cryogenic Orthogonal Cutting of 7075 Aluminium Closed Cell Syntactic Foams

et al. 2023

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The addition of hollow aluminium oxide bubbles to the 7075 aluminium matrix results in a lightweight syntactic foam with a reduced density and an increased peak compression strength. The presence of ceramic bubbles also aids in a reduced coefficient of thermal expansion and thermal conductivity in comparison to aluminium alloys. In spite of their enhanced material properties, the inclusion of hollow aluminium oxide bubbles presents the challenge of poor machinability. In order to elucidate the problem of poor surface machinability, an attempt has been made to develop a thermo-mechanical finite element machining model using AdvantEdgeTM software with which surface quality and machined syntactic foam material can be analyzed. If the novel model developed is combined with virtual reality technology, CNC technicians can observe the machining results to evaluate and optimize the machining program. The main novelty behind this software is that the material foam is assumed as a homogeneous material model for simplifying the material model as a complex heterogeneous material system. The input parameters used in this study are cutting speed, feed, average size and volume fraction of hollow aluminium oxide bubbles, and coolant. For the output parameters, the numerical analysis showed a 6.24% increase in peak tensile machining induced stress as well as a 51.49% increase in peak cutting temperature as cutting speed (25 m/min to 100 m/min) and uncut chip thickness (0.07 mm to 0.2 mm) were increased. The average size and volume fraction of hollow aluminium oxide bubbles showed a significant impact on the magnitude of cutting forces and the depth of tensile induced stress distribution. It was observed on the machined surface that, as the average size of hollow aluminium oxide bubbles became coarser, the peak machining induced tensile stress on the cut surface reduced by 4.47%. It was also noted that an increase in the volume fraction of hollow aluminium oxide bubbles led to an increase in both the peak machining induced tensile stress and the peak cutting temperature by 29.36% and 20.11%, respectively. This study also showed the influence of the ceramic hollow bubbles on plastic deformation behavior in 7075 aluminium matrix; the machining conditions for obtaining a favorable stress distribution in the machined surface and sub-surface of 7075 closed cell syntactic foam are also presented.

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“…Many scholars and researchers have modified the model based on above all these factors, and propose more prediction methods suitable for material properties and working environment [17,18]. More and more scholars analyze the fatigue life by establishing numerical models [19][20][21][22][23]. Based on the fatigue research results and experience of metal materials, many scholars have carried out fatigue life analysis of metal matrix composites [24,25].…”

Section: Introductionmentioning

confidence: 99%

Path Planning Algorithm for Fatigue Life Prediction of SiC/AL MMCs Considering Residual Stress

Shang¹,

Liu²,

Wang³

et al. 2021

Preprint

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To explore the influence of path deflection on crack propagation, a path planning algorithm is presented to calculate the crack growth length. The fatigue crack growth life of metal matrix composites (MMCs) is estimated based on an improved Paris formula. Considering the different expansion coefficient of different materials, the unequal shrinkage will lead to residual stress when the composite is molded and cooled. The crack growth model is improved by the modified stress ratio based on residual stress. Although the data obtained by the new model are not consistent with the experimental data very well, it can still prove that the idea of establishing the model is effective to a certain extent.

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Study of TiC particle distribution in Al-MMCs using finite element modeling

Cited by 27 publications

References 28 publications

Strengthening and Weakening Effects of Particles on Strength and Ductility of SiC Particle Reinforced Al-Cu-Mg Alloys Matrix Composites

Strengthening and Weakening Effects of Particles on Strength and Ductility of SiC Particle Reinforced Al-Cu-Mg Alloys Matrix Composites

Computational Analysis of Machining Induced Stress Distribution during Dry and Cryogenic Orthogonal Cutting of 7075 Aluminium Closed Cell Syntactic Foams

Path Planning Algorithm for Fatigue Life Prediction of SiC/AL MMCs Considering Residual Stress

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