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Introduction Magnetorheological (MR) materials are smart materials which have MR effects and many unique properties under magnetic fields.
The MR effects are that the rheological properties will be changed under external applied magnetic fields.
MRE is a composite material, whose mechanical properties are changed when external magnetic field is applied.
Thin aluminum plates were chosen for elastic surface plates as follows: (1) Aluminum has low damping properties and relatively high stiffness properties compared to those of MREs; (2) Aluminum’s relatively magnetic permeability equals to zero, which indicates that it does not effect the distribution and strength of the magnetic field.
Considering a MRE cantilever sandwich beam was divided into N regions, the transverse vibration equation is given in the form of: (1) The free vibration response of the cantilever beam is given by: (2) Substituting Eq.2 into Eq.1 for zero external excitation force, the resulting vibration equation can be expressed as: (3) The above equation can be non-dimensionalized by defining: , , Where l is the total length of the beam, ξ is the non-dimensional space variable along the beam length, ωn, βn are the natural frequencies and loss factors of the composite beam, respectively, then the vibration equation with non-dimensionalized parameters becomes:

Our results provide important insights into the synthesis and properties of MOFs.
By understanding the factors that influence the properties of MOFs, we can design new materials with specific properties tailored to different applications.
Our results provide important insights into the properties of MOFs and pave the way for developing new materials with tailored properties.
The results of the contact angle also indicate the wettability properties of the material surface.
Affifah, “Effect of Bioplastic Characteristics of Cassava Starch and Microcrystalline Cellulose on Mechanical Properties and Hydrophobicity,” EduChemia (Jurnal Kim. dan Pendidikan), vol. 4, no. 2, p. 185, 2019, doi: 10.30870/educhemia.v4i2.5953

Data fusion for MFL signal characterization Qiang Song College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, China songqiang@cup.edu.cn Keywords: magnetic flux leakage, data fusion, characterization, radial basis function network Abstract.
There are a variety of factors that can affect the MFL inspection tool’s ability to detect and characterize anomalies.
They include the MFL tool itself, defect geometry, magnetic properties and test parameters such as velocity and stress.

Introduction Recently foamed metal has become an attractive material, which has unique physical, thermal, acoustic, damping and mechanical properties [1].
The most effective factor, viscosity is determined by the stirring time, exposing time to contact melt with air, the amount of additives and temperature.
However, this study was carried out fixed viscosity factor except temperature.
The most important effect of the formability is the viscosity which is affected on the amount of formation of the aluminum oxide.

The centerline segregation is a disadvantageous failure of slabs which can affect the quality properties of the final products.
It is claimed by authors without detailed explanation that manganese decreases the activity of carbon and this affects the carbon diffusion, but the other elements like phosphorus can also play an important role [1].
Welding has a double role: it gives a rigid mechanical connection between the parts and protects the inner surfaces of the steel plates from oxidation.
The calculation method described above can be applied for this case by using the carbon activity field data and the "effective" carbon diffusion coefficient supposing that manganese does not affect considerably the value of the "effective" carbon diffusion coefficient.
Temperature 1000 o C Duration of homogenization: 10, 30, 60, 120 min Original distribution of carbon: Sample "C" Carbon content, wt% Distance from the centerline, m 1260 1280 1300 1320 1340 1360 1380 1400 1420 1440 2,0 2,2 2,4 2,6 2,8 3,0 3,2 3,4 3,6 DC_effective/DC = -9.17022 + 0.00891 * T(K) Factor of DC_effective/DC Temperature, K DC_effective determined Linear fitting Fig. 3 Carbon content distributions calculated by different methods (Sample C) Fig. 4 The "effective" C diffusion coefficient in austenite as a function of temperature As a result of introduction of "effective" carbon diffusion coefficient and of the carbon activity governed calculation method, the carbon content distribution shows a step-like shape at the boundary of cover/core plates.

Thus, these pipelines are vulnerable to failure issues such as corrosion, erosion, third-party damage, natural factors, and others.
Pipeline failure that is caused by mechanical defects resulting from the pipe material's properties and design contributes significantly to 25% of failures, which is also considered a high percentage.
This suggests the need for additional research on the application of ANN in this field, particularly in relation to factors that significantly contribute to buried pipeline problems, such as third-party effects and mechanical issues.
The trade-off between these factors requires balance and optimization to prevent a negative impact on the outcome.
The challenge comes from complex interaction among factors that cause the failure, and the factors’ relationship is not always straightforward.

At the same time, MD simulations also estimates the physical properties of nanofluids by solving the equations of molecular motion.
The flow real flow that occurs in a practical nano nozzle may be more complicated than a simple flow, that many factors such as the nozzle geometry, flow type and boundary conditions may be involved altogether.
The molecular interaction forces usually depend on the physical properties and space phase structures of the fluid and wall molecules.
In the usual case, heating has a larger effect on the stream properties than the vapor removal.
The application of the proposed model for supersonic flow in a convergent-divergent nano nozzle, demonstrated the capability of this model to predict the detailed flow properties of both gas and clusters.

The high energy ion beam irradiation of polymer is a sensitive technique to enhance its electrical conductivity, structural, mechanical and optical properties.
Electrical properties (I-V) were measured by four probe method.
It may be due to the higher rate of electronic energy loss of swift heavy ions, which affects the optical properties of polymers to a greater extent.
Dkamoto, Paramagnetic and Electric Properties of Polyacetylene, J.
Nazzai, The Structure and Mechanical Properties of Polypyrrole, Mol.

The mechanical properties of thin walled structures can be further enhanced if they are made of composite materials due to their inherent high strength to weight and high fatigue resistance as compared to conventional materials (Aluminum, Steel and Titanium etc).
The laminate material properties i.e.
The material properties used for the analysis are given in Table 1.
Inertia and rigidity are the two main factors that affect the natural frequency of an object.
For two considered cases, as far as inertia is concerned all factors are constant except density.

Introduction Suitable tool materials are a key factor for the industrial application of semi-solid processing of high melting point alloys, e.g. steels [1].
Ceramics in general exhibit promising high temperature properties such as mechanical strength, hardness and chemical resistance against metallic melts and slags.
In contrast, corrosive attack affects work piece quality but permits continuous forming in laboratory scale.
Sufficient strength at working temperature is required to withstand mechanical loads during forming, whereas a considerable temperature gradient has to be sustained throughout the cross section of the tool.
Acknowledgements The authors gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Centre SFB 289: "Forming of Metals in the Semi-Solid State and their Properties", www.rwth-aachen.de/sfb289.