Artificial Intelligence in the AHSS Steel Mechanical Properties and Microstructure Analysis

With the promising applications in artificial intelligence systems and wearable health care devices, great efforts have been devoted to develop advanced pressure sensors. Graphene-based materials are promising pressure sensor materials due to the excellent electrical conductivity, outstanding mechanical properties and large surface area. This review summarizes the recent advances and progress in graphene and graphene-based pressure sensors. Perspectives and challenges in this exciting field are also highlighted and discussed.

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Predicting mechanical properties of thermoplastic starch films with artificial intelligence techniques

Contemporary Engineering Sciences ◽

10.12988/ces.2018.8251 ◽

2018 ◽

Vol 11 (12) ◽

pp. 559-570 ◽

Cited By ~ 1

Author(s):

Cesar Guzman ◽

Sofia Collazo-Bigliardi ◽

Rodrigo Ortega-Toro

Keyword(s):

Artificial Intelligence ◽

Mechanical Properties ◽

Thermoplastic Starch ◽

Artificial Intelligence Techniques ◽

Starch Films

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Effects of Extrusion–Shear Process Conditions on the Microstructures and Mechanical Properties of AZ31 Magnesium Alloy

High Temperature Materials and Processes ◽

10.1515/htmp-2015-0090 ◽

2016 ◽

Vol 35 (10) ◽

pp. 967-972

Author(s):

H.J. Hu ◽

Y.Y. Li ◽

X. Wang ◽

D.F. Zhang ◽

M.B. Yang

Keyword(s):

Mechanical Properties ◽

Magnesium Alloy ◽

Microstructure Analysis ◽

Az31 Magnesium Alloy ◽

Process Conditions ◽

Compression Tests ◽

Billet Temperature ◽

Direct Extrusion ◽

Shear Process ◽

Microstructures And Mechanical Properties

AbstractIn this paper, the effects of extrusion–shear (ES) on the microstructures and mechanical properties of AZ31 magnesium alloy has been studied, which has been achieved by conducting a lot of experiments and tests, including ES process, direct extrusion with different billet temperatures, microstructure analysis, hardness test, tensile & compression tests. The results show that the ES-processed rods has higher strengths (yield strength and tensile strength) than the direct extrusion ones with the same billet temperature, which contributed to their lower averaged grain size obtained from microstructure analysis according to Hall–Petch relation. Besides, the hardness of ES-processed AZ31 magnesium alloy decreases with the increasing of billet temperature. By comparing the two processes, it can be seen that the ES process could refine the microstructure and improve the mechanical properties of magnesium alloy.

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Measuring the mechanical properties of polymer–carbon nanotube composites by artificial intelligence

International Journal of Damage Mechanics ◽

10.1177/1056789515604375 ◽

2015 ◽

Vol 25 (4) ◽

pp. 538-556 ◽

Cited By ~ 6

Author(s):

Rahman Sabouhi ◽

Hamid Ghayour ◽

Majid Abdellahi ◽

Maryam Bahmanpour

Keyword(s):

Artificial Intelligence ◽

Mechanical Properties ◽

Carbon Nanotube ◽

Nanotube Composites ◽

Carbon Nanotube Composites

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Advanced Possibilities of Fast Quality Check in Wire Production Processes by Means of Fast Microstructure Analysis

Materials Science Forum ◽

10.4028/www.scientific.net/msf.892.73 ◽

2017 ◽

Vol 892 ◽

pp. 73-81

Author(s):

Anja Oswald ◽

Rosita Schmidtchen ◽

Daniel Šimek ◽

David Rafaja ◽

Rudolf Kawalla ◽

...

Keyword(s):

Mechanical Properties ◽

High Strength ◽

Weight Percent ◽

Microstructure Analysis ◽

X Ray Diffraction ◽

Fast Analysis ◽

X Ray ◽

Deformation State ◽

Physically Based ◽

Physically Based Models

A new method for a fast analysis of heavily deformed, multicomponent ferritic/pearlitic steels microstructure based on XRD measurements had been developed. Its practical application has been examined and proven during wire rod production of a high-strength eutectoid non-alloyed steel grade containing 0.81 weight percent carbon. For individual technological conditions, the lattice strains and their anisotropy were analysed quantitatively by means of fast X-ray diffraction measurements and correlated with the results of comprehensive mechanical testing. Obtained relationships between the microstructure characteristics and mechanical properties were described using physically based models and used to establish a material specific database for prediction of the mechanical properties from X-ray diffraction data. Depending on the deformation state different parameters have to be applied for the material’s macroscopic properties prediction. Additionally, the fast microstructure analysis can provide more detailed information in the case of deviations from the as-required material’s properties due to technological aberrations.

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Sintering Effect on Mechanical Properties of Composites of Hydroxyapatite Lanthanum Oxide (HA-La2O3)

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.309-311.101 ◽

2006 ◽

Vol 309-311 ◽

pp. 101-104 ◽

Cited By ~ 8

Author(s):

Faik N. Oktar ◽

L.S. Ozyegin ◽

Onur Meydanoglu ◽

H. Aydin ◽

Simeon Agathopoulos ◽

...

Keyword(s):

Mechanical Properties ◽

Compression Strength ◽

Temperature Increase ◽

Lanthanum Oxide ◽

Sintering Temperature ◽

Experimental Results ◽

Microstructure Analysis ◽

Bovine Bone ◽

Properties Of Composites ◽

Sintering Effect

Composites of calcinated bovine bone derived hydroxyapatite (HA) with 0.25, 0.5, 1, and 2 wt % La2O3 were prepared by sintering. The experimental results indicated that compression strength and microhardness of HA-La2O3 composites increase when the content of La2O3 and sintering temperature increase. The best mechanical properties were achieved after sintering at 1300°C. The results are in agreement with densification measurements and microstructure analysis.

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Solidification, Microstructure and Mechanical Properties of Mg-2.8Nd-1.5Gd-0.5Zn-0.5Zr Cast Alloy with Erbium Addition

MATEC Web of Conferences ◽

10.1051/matecconf/201820201001 ◽

2018 ◽

Vol 202 ◽

pp. 01001

Author(s):

R. Ahmad ◽

A.M.M. Elaswad ◽

M. Z. Hamzah ◽

N. R. Shahizan

Keyword(s):

Electron Microscopy ◽

Mechanical Properties ◽

Scanning Electron Microscopy ◽

Grain Size ◽

Cast Alloy ◽

Tensile Tests ◽

Optical Microscope ◽

Microstructure Analysis ◽

Cooling Curve ◽

Scanning Electron

The thermal parameters of Mg-2.8Nd-1.5Gd-0.5Zn-0.5Zr cast alloy with 0.25 wt.% of erbium (Er) were evaluated by the computer-aided cooling curve thermal analysis(CA CCTA), whereas the microstructure analysis was investigated by the optical microscope and scanning electron microscopy. Results from the cooling curve and microstructure analysis showed that Er altered the grain size of the alloys. In addition, the grain size was reduced by approximately 19.6% with the addition of Er. Scanning electron microscopy results showed that Er formed an Mg-Zn-Nd-Er phase which distributed along the grain boundaries. Furthermore, the mechanical properties were investigated by hardness and tensile tests with Er addition. The addition of 0.25 wt.% of Er significantly improved the ultimate tensile strength and yield strength. In addition, the hardness value of Mg-2.8Nd-1.5Gd-0.5Zn-0.5Zr increased by 13.9% with Er addition.

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