Microstructure and tensile properties of in situ (TiB+TiC)/Ti6242 (TiB:TiC=1:1) composites prepared by common casting technique

Lü, Weijie; Zhang, D.; Zhang, X.N.; Wu, Rui; Sakata, Takao; Mori, Hajime

doi:10.1016/s0921-5093(01)00910-8

Cited by 120 publications

(39 citation statements)

References 24 publications

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“…This is important, as most of the literature dealing with TiC particle-reinforced TMCs presumes the formation of stoichiometric TiC and, hence, underestimates the real TiC particle contents that form during the solid-state reactions. Especially with respect to the studies of Lu et al [28] and Wang et al [29], their results could be reinterpreted as the reported increases in tensile strength probably occur due to the higher actual TiC 0.5 particle contents, and were not a result of the adjusted molar TiB:TiC ratio.…”

Section: Discussionmentioning

confidence: 74%

“…Despite these well-known relationships with respect to the solid-state reaction behavior between titanium and carbon, however, most reported studies dealing with TiC particle-reinforced TMCs assume the formation of stoichiometric TiC according to reactions (2) and (3), and further not considering the influences of the real TiC particle stoichiometry. For instance, Lu et al [28] and Wang et al [29] investigate the influence of the TiB:TiC ratio adjustment on the mechanical properties of particle-reinforced TMCs that were processed by liquid-solid reactions between titanium alloys and B 4 C and/or graphite, which served as reactive powders. For the adjustment of the TiB and TiC phase contents, they combined reactions (2) and (3) while assuming the formation of stoichiometric TiC and using graphite as an additional source of carbon to B 4 C. It was found that TMCs with a calculated adjusted molar ratio of TiB:TiC = 1:1 exhibited a higher tensile strength than the phase composition with minor TiC content.…”

Section: Temperature Inmentioning

confidence: 99%

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Characterization of In-Situ TiB/TiC Particle-Reinforced Ti-5Al-5Mo-5V-3Cr Matrix Composites Synthesized by Solid-State Reaction with B4C and Graphite through SPS

Grützner

Krüger

Radajewski

et al. 2018

Metals

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Abstract:In-situ TiB/TiC particle-reinforced titanium matrix composites (TMCs) based on a near-β Ti-5Al-5Mo-5V-3Cr alloy (Ti-5553) were synthesized by solid-state reaction with B 4 C and graphite particles during spark plasma sintering (SPS). In this study, investigations were focused on the influence of the molar TiB:TiC ratio on the mechanical properties of the composites. With respect to the adjustment of the molar TiB:TiC ratio, the formation of stoichiometric TiC or nonstoichiometric TiC y was considered as the literature provides conflicting information in this respect. Furthermore, the solid-state reaction behavior influenced by the matrix alloying elements is discussed in comparison to a pure titanium matrix. The hardness, compressive strength and bending strength of the TMCs were improved successfully due to the TiB and TiC particles maintaining acceptable levels of ductility. However, X-ray diffraction experiments revealed that for the adjustment of the molar TiB:TiC ratio, the stoichiometry of the TiC y particles formed must be considered as nonstoichiometric TiC 0.5 resulted from the solid-state reaction of carbon and titanium. Compared to TMCs with pure titanium matrices, more sluggish solid-state reaction kinetics were observed. This was attributed to the matrix alloying elements molybdenum, vanadium and chromium, which formed solid solutions within the reinforcing particles.

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Section: Discussionmentioning

confidence: 74%

Section: Temperature Inmentioning

confidence: 99%

Characterization of In-Situ TiB/TiC Particle-Reinforced Ti-5Al-5Mo-5V-3Cr Matrix Composites Synthesized by Solid-State Reaction with B4C and Graphite through SPS

Grützner

Krüger

Radajewski

et al. 2018

Metals

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“…After the OS is selected and the MF is generated, operation of the network is tested with the use of them (OS & MF). Twenty sample data (data of samples [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] were used from the total of 30, as data sets for network training. Table 3 shows the normalized sample data used for networks training.…”

Section: Resultsmentioning

confidence: 99%

“…[18][19][20][21] As an effective and important surface-treatment method, shot peening (SP) can introduce high residual compressive stress (RCS) and microstructure variation at near surface layers, which can enhance their fatigue properties compared to non-peened materials. The process of SP involves the bombardment of spherical balls of a hard material against the surface of components, which induces the strong elastic-plastic deformation at the surface and sub-surface regions.…”

Section: Introductionmentioning

confidence: 99%

Modeling of shot-peening effects on the surface properties of a (TiB + TiC)/Ti–6Al–4V composite employing artificial neural networks

Maleki¹,

Zabihollah²

2016

Mater. Tehnol.

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Titanium matrix composites (TMCs) have wide application prospects in the field of aerospace, automobile and other industries because of their good properties, such as high specific strength, good ductility, and excellent fatigue properties. However, in order to improve their fatigue strength and life, crack initiation and growth at the surface layers must be suppressed using surface treatments. Shot peening (SP) is an effective surface mechanical treatment method widely used in industry which can improve the mechanical properties of a surface. However, artificial neural networks (ANNs) have been used as an efficient approach to predict and optimize the science and engineering problems. In the present study the effects of SP on TMC were modeled by means of ANN and the capability of the ANN in predicting the output parameters is investigated. A back-propagation (BP) error algorithm is developed for the network training. Data of experimental tests on the (TiB + TiC)/Ti-6Al-4V composite are employed in order to train the network. The volume fractions of the reinforcements (TiB + TiC) were 5 % and 8 %. ANN testing is accomplished using different experimental data thaat were not used during the network training. The distance from the surface (depth) and SP intensity are regarded as input parameters and residual stress and hardness of the Ti-6Al-4V before and after the SP and adding reinforcements are gathered as the output parameters of the network. A comparison was made between experimental and predicted data. The predicted results were in good agreement with experimental ones, which indicates that developed neural network can be used for modeling the SP process on TMCs. Keywords: titanium matrix composites, surface treatment, shot peening, artificial neural networks, residual stress, hardness Kompoziti na osnovi titana (TMCs) imajo {iroko mo`nost uporabe na podro~ju letalstva, avtomobilske in druge industrije zaradi njihovih dobrih lastnosti, kot so: velika specifi~na trdnost, dobra duktilnost in odli~na odpornost na utrujanje. Vseeno pa je za pove~anje odpornosti na utrujanje in`ivljenjsko dobo, potrebna povr{inska obdelava, da se zavre nastanek razpok in njihova rast na povr{ini. Hladno povr{insko kovanje (SP) je u~inkovita mehanska metoda, ki se v industriji pogosto uporablja za izbolj{anje mehanskih lastnosti povr{ine. Umetne nevronske mre`e (ANNs) se uporabljajo kot u~inkovit pribli`ek za napovedovanje in optimiranje znanstvenih osnov in in`eniringa tega problema. V {tudiji so bili modelirani vplivi SP na TMC s pomo~jo ANN in preiskovana je bila zmo`nost napovedovanja izhodnih parametrov z ANN. Za usposabljanje mre`e je bil razvit algoritem vzvratnega {irjenja napak (BP). Podatki iz eksperimentalnih preizkusov na (TiB + TiC)/Ti-6Al-4V kompozitu so uporabljeni za usposabljanje mre`e. Volumska dele`a delcev (TiB + TiC) za oja~anje sta bila 5 % in 8 %. ANN preizku{anje je bilo izvedeno z uporabo razli~nih eksperimentalnih podatkov, ki niso bili uporabljeni pri usposabljanju mre`e. Razdalja od povr{ine (globina) in...

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“…Therefore, they are attractive not only for aerospace components, but also for demanding automotive, process and medical applications [1]. Ceramic reinforcement can further improve some mechanical properties [2,3]. Regarding metal matrix composites (MMC), particulate reinforced alloys (PRM) are cheaper than the continuous fibre reinforced alloys, and can be forged, cut, formed, and their properties are more or less isotropic.…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties of particle reinforced titanium and titanium alloys

Poletti

Holtl

2010

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Titanium grade 2, Ti-6Al-4V and Ti-6Al-6V-2Sn unreinforced and reinforced with 10-15 vol.% SiC particles, 5 vol.% TiB whiskers and 12-20 vol.% TiC are characterized by compression tests, micro-, macro-and nano-hardness measurements, and X-ray diffraction. The measured Young's moduli up to 350• C were found to be described using the Halpin Tsai model for the TiC and of TiB reinforced materials (aspect ratio of 1 and 100, respectively). The strengthening by SiC addition is attributed to matrix strain hardening due to the thermal misfit between the matrix and the reinforcement. The strengthening of TiC reinforced material is attributed to interstitial C dissolved in the alpha phase proved with the nanohardness results. TiB precipitates produce strengthening by grain refinement and dispersion hardening. The presence of 1 wt.% of C in the matrix also should be the reason for higher Young's modulus and strengthening.K e y w o r d s : metal-matrix composites (MMCs), mechanical properties, deformation, elastic properties, powder metallurgy

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Microstructure and tensile properties of in situ (TiB+TiC)/Ti6242 (TiB:TiC=1:1) composites prepared by common casting technique

Cited by 120 publications

References 24 publications

Characterization of In-Situ TiB/TiC Particle-Reinforced Ti-5Al-5Mo-5V-3Cr Matrix Composites Synthesized by Solid-State Reaction with B4C and Graphite through SPS

Characterization of In-Situ TiB/TiC Particle-Reinforced Ti-5Al-5Mo-5V-3Cr Matrix Composites Synthesized by Solid-State Reaction with B4C and Graphite through SPS

Modeling of shot-peening effects on the surface properties of a (TiB + TiC)/Ti–6Al–4V composite employing artificial neural networks

Mechanical properties of particle reinforced titanium and titanium alloys

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