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Number of results: 3
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Abstract

Vanadium carbide is important for industrial applications because of its high hardness, high temperature resistance, high chemical, and thermal stability. It is generally obtained from the reaction between V and C powders at a high temperature ranging from 1100 to 1500°C. Investigations on these high strength, high abrasion resistant, hard materials have been intensified in recent years and consequently, significant improvements have been achieved. In this study, VC alloys are produced with low cost processes, by reducing the oxides of their components by SHS methods and ball mill-assisted carbothermal reduction. In the experimental stage, V2O5 was used as oxidized Vanadium source, Cblack as carbon source, magnesium and Cblack as reductant. In the study, VC powders were synthesized by two different methods and optimum production conditions were determined. Furthermore, the effect of different stoichiometric charge components and the effect of experiment durations were realized by X-ray diffraction, HSC Chemistry, and SEM analyses for different reductants.
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Authors and Affiliations

Mehmet Bugdayci
1
Levent Once
2
Murat Alkan
Ahmet Turan
3
Umay Cinarli
4

  1. Yalova University, Faculty of Engineering, Chemical Engineering Department, 77200, Yalova, Turkey; Istanbul Medipol University, Vocational School, Construction Technology Department, 34810, Istanbul, Turkey
  2. Sinop University, Faculty of Engineering and Architecture, Metallurgical and Materials Engineering Department, 57000, Sinop, Turkey
  3. Dokuz Eylul University, Engineering Faculty, Department of Metallurgical and Materials Engineering, 35390, Izmir, Turkey
  4. Yeditepe University, Engineering Faculty, Materials Science and Nanotechnology Engineering Department, 34755, Istanbul, Turkey
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Abstract

In the present research, the Nb-Si-Ti-Cr-Al-Ta-Hf alloys with different Ho addition were prepared. Their microstructure, compressive properties and oxidation behaviors were investigated preliminarily. The results exhibit that the Nb-Si-Ti-Cr-Al-Ta-Hf alloy has coarse microstructure which is mainly composed of Nb solid solution, Nb5Si3 and Ti5Si3 phases. The minor Ho addition could refine the microstructure and suppress the precipitation of Ti5Si3 phase. Moreover, the Ho addition also leads to the formation of Ho2Hf2O7, which prefers to precipitate along the Nbss/Nb5Si3 phase interface. Compared with the Nb-Si-Ti-Cr-Al-Ta-Hf alloy, the minor Ho addition improves the room-temperature and high-temperature compressive properties of the alloy. Its room-temperature compressive strength and ductility obtain the maximum value of 1825 MPa and 16.5% when the Ho content is 0.1 at.%. Moreover, its best compressive strength at 873 K, 1273 K and 1473 K is 1495 MPa, 765 MPa and 380 MPa, respectively, when the Ho addition is 0.1 at.%. The oxidation behavior of the Nb-Si-Ti-Cr-Al-Ta-Hf alloy is diversified with the Ho addition. The oxidation rate of the alloy with 0.1 at.% Ho addition is the lowest while the alloy with 0.2 at.% Ho addition is the highest. Therefore, the 0.1 at.% Ho would be the appropriate content for the Nb-Si-Ti-Cr-Al-Ta-Hf alloy.
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Authors and Affiliations

Qiaoli Wang
1
ORCID: ORCID
Yinan Xiao
2
ORCID: ORCID
Di Wu
2
ORCID: ORCID
Fang Yang
ORCID: ORCID
L.Y Sheng
ORCID: ORCID

  1. Peking University, Shenzhen Institute, Shenzhen 518057, China; PKU-HKUST ShenZhen-HongKong Institution, Shenzhen 518057, China
  2. PKU-HKUST ShenZhen-HongKong Institution, Shenzhen 518057, China
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Abstract

The current research focuses on the implementation of the fuzzy logic approach for the prediction of base pressure as a function of the input parameters. The relationship of base pressure (β ) with input parameters, namely, Mach number (M), nozzle pressure ratio (η), area ratio (α), length to diameter ratio (ξ ), and jet control (ϑ ) is analyzed. The precise fuzzy modeling approach based on Takagi and Sugeno’s fuzzy system has been used along with linear and non-linear type membership functions (MFs), to evaluate the effectiveness of the developed model. Additionally, the generated models were tested with 20 test cases that were different from the training data. The proposed fuzzy logic method removes the requirement for several trials to determine the most critical input parameters. This will expedite and minimize the expense of experiments. The findings indicate that the developed model can generate accurate predictions
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Authors and Affiliations

Jaimon D. Quadros
1
ORCID: ORCID
Suhas P.
2
Sher A. Khan
3
ORCID: ORCID
Abdul Aabid
4
ORCID: ORCID
Muneer Baig
4
Yakub I. Mogul
5

  1. Fluids Group, School of Mechanical Engineering, Istanbul Technical University, Gümüs¸suyu, 34437 Istanbul
  2. Department of Mechanical Engineering, Sahyadri College of Engineering and Management, Mangaluru 575007, Karnataka, India
  3. Department of Mechanical Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, 53100, Selangor, Malaysia
  4. Department of Engineering Management, College of Engineering, Prince Sultan University, 66833, Riyadh 11586, Saudi Arabia
  5. National Centre for Motorsport Engineering, University of Bolton, Bolton, BL3 5AB, UK

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