The influences of trace TiB and TiC on microstructure refinement and mechanical properties of in situ synthesized Ti matrix composite

Sun, Shuai; Wang, Minmin; Wang, Liqiang; Qin, Jining; Lü, Weijie; Zhang, Di

doi:10.1016/j.compositesb.2012.01.075

Cited by 71 publications

(22 citation statements)

References 17 publications

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“…Therefore, the improvement in the tensile strength of the (ZrTi)B alloys should be a result of the load transfer between the precipitates and the matrix. This result is consistent with previous studies [22,23,40], which have shown that intermetallics can dominate the strengthening contribution.…”

Section: Mechanical Propertiessupporting

confidence: 95%

See 1 more Smart Citation

Structure and mechanical properties of as-cast (ZrTi)100−xBx alloys

Xia

Jiang

Wang

et al. 2015

Journal of Alloys and Compounds

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Section: Mechanical Propertiessupporting

confidence: 95%

“…The use of boron (B) as an alloying element addition in Ti alloys has been researched [17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Structure and mechanical properties of as-cast (ZrTi)100−xBx alloys

Xia

Jiang

Wang

et al. 2015

Journal of Alloys and Compounds

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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%

“…TMCs co-reinforced with TiB whiskers and TiC particles have been fabricated and investigated for their mechanical properties [15][16][17] and have been extensively demonstrated to possess superior mechanical properties over the single TiB or TiC reinforced discontinuously reinforced titanium matrix composites (DRTMCs). [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.…”

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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“…The manufacturing of TMC reinforced by TiB and/or TiC particles or whiskers has already considered with conventional or vacuum-aided casting techniques [1][2][3] and with powder metallurgy [4,5]. However, new layer additive manufacturing techniques offers alternative ways for obtaining directly complex 3D shapes.…”

Section: Introductionmentioning

confidence: 99%

Additive layer manufacturing of titanium matrix composites using the direct metal deposition laser process

Pouzet

Peyre

Gorny

et al. 2016

Materials Science and Engineering: A

106

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International audienceTitanium Matrix Composites (TMC's) containing various volume fractions of (TiB+TiC) particles have been deposited from powder feedstocks consisting of a blend of pre-alloyed (Ti-6Al-4V+B4C) powders, using the direct metal deposition (DMD) laser process and the in-situ chemical reaction 5Ti+B4C→4TiB+TiC. Process optimization has allowed to obtain a homogeneous distribution of tiny TiB whiskers within the Ti-6Al-4V α/β matrix, with a full solubilization of C for low B4C contents (0.5 wt% and 1.5 wt%), and the formation of a small amount of globular TiC particles at higher B4C content (3%). Comparisons with Ti-6Al-4V DMD walls revealed a substantial grain refinement on TMC's due to enhanced grain nucleation on TiB whiskers, even for low B4C contents. Last, mechanical investigations indicated an increase of 10–15% of Vickers hardness, and a constant 10% increase of Young modulus on a large temperature range (20–600 °C) for all B4C content

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The influences of trace TiB and TiC on microstructure refinement and mechanical properties of in situ synthesized Ti matrix composite

Cited by 71 publications

References 17 publications

Structure and mechanical properties of as-cast (ZrTi)100−xBx alloys

Structure and mechanical properties of as-cast (ZrTi)100−xBx alloys

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

Additive layer manufacturing of titanium matrix composites using the direct metal deposition laser process

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