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The analysis results indicate the mechanical property of the body of the developed machine can meet the requirements for high speed cutting.
There are many questions brought about by aforementioned difficulties need dealing with, here, static and dynamic force affecting on the body of cutting machine were discussed only.
In order to realize high speed cutting for leather materials, the stiffness of the body of cutting machine tool is the key factor to it.
After that, It was found the natural frequency of the cutting machine tool is greatly affected by the local vibration frequency of supporting bar, it is shown in figure 5 and 6.
Yang: ANSYS for Engineering Application, Mechanical Issue.

It integrates into one single complex seismological, economic, technical and sociological factors that affect optimal decision making about economic costs taking into account the degree of inevitable risk for structures.
Thus, economic analysis in quake proof construction requires quantitative assessment of three essential factors: · additional investments in construction of quake proof facilities; · amount of direct and indirect financial losses as a result of structural damages in potential earthquakes; · risk of human lives loss in money terms.
It also allowed to assess changes in stiffness properties of the materials.
High reliability of the system can be provided solely with technical measures that do not result in large expenditures, while the optimum reliability criterion is not affected by cost restraints and so optimization is done according to the principle of maximum reliability (6) Optimum parameters of reliability must be allowable and strongly valid taking into account economic and social factors.
Sadchikov, Vector field modeling of seismic soil movement in building footing, Advanced Materials, Structures and Mechanical Engineering Proceedings of the international Conference on Advanced Materials, Structures and Mechanical Engineering, Incheon, South Korea, (2016) e115-118.

So it has seriously affected the production and economic benefits.
So intensity values of the unit are selected as a sensitive factor for prediction [3].
KPCA remains a variety of mathematical and statistical properties of PCA and also has the capacity of nonlinear problems.
KPCA provides a possible approach for the mechanical failure prediction.
And it reflects the unit’s overall operating state, so the value of vibration intensity is selected as sensitive factor for the unit status.

The work was focused on the optimization of hydrogen content and deformation conditions with the aim to create the nanostructure in titanium alloys and to enhance their mechanical properties.
The work was focused on the optimization of hydrogen content and deformation conditions with the aim to create the NC structure in titanium alloys and to enhance their mechanical properties.
The affect of hydrogen on mechanical properties and microstructure modification of two-phase titanium alloys is rather intricate since the hydrogen addition changes the phase composition of the alloy, chemical composition of initial phases and their stability [4].
Mechanical properties.
Their mechanical properties have been assessed both at room and elevated temperatures.

Then real material properties are substituted in the FEM model to obtain the analytical torque.
The characteristic of each clutch as the static torque source is the main factor of the office machines under working condition.
Mechanical approach Construction of micro-electromagnetic clutch The construction of micro-electromagnetic clutch is shown in Fig.1.
Finite element analysis Analysis model and properties The 2D axi-symmetric model is chosen for the numerical analysis of micro-electromagnetic clutch.
When the air gap decreases, the magnetic force increases because the air gap affects the magnetic resistance.

Introduction At present, hot pressure forming is regarded as one of the most important processes to manufacture products with good mechanical properties and fine metallurgical structures[1-3].
The flow stress during the hot deformation is influenced by many factors such as strain, strain rate, temperature, etc. and understanding their effects has been a difficult task due to their complex nature.
The mechanical properties of the workpiece under hot working are generally expressed by a constitutive equation, which connects flow stress and the variables such as strain, strain rate, temperature[13].
Based on experimental stress-strain data, a revised constitutive equation incorporating the effects of temperature, strain rate and work-hardening rate of the material is derived by compensation of strain and proposed to describe the plastic flow properties.
Dynamic recrystallization: Mechanical and microstructural considerations [J].

Introduction Strength properties of concrete are very important for designing a structure and these properties depend upon the ingredients of concrete [1].
Flexural strength is one of the important properties of concrete as it affects shear strength deflection, brittleness ratio, and flexural cracking of concrete and is also known as modulus of rupture [22].
Sairam, Study on Mechanical Properties of Mortar using Alccofine and Graphene Oxide, Materials Today: Proceedings. 22 (2020) 2431–2438
[17] Hongjian Du, Suhuan Du, Xuemei Liu, Effect of nano-silica on the mechanical and transport properties of lightweight concrete, Construction and Building Materials. 82 (2015) 114-122
Abul Hasan, A study of factors affecting the flexural tensile strength of concrete, Journal of King Saud University – Engineering Sciences (2014), http://dx.doi.org/10.1016/j.jksues.2014.04.001 [22] Bismark K.

However, the joint usually experience weld metal stress corrosion cracking (SCC), which affects the safety and structural integrity of light water nuclear reactor systems.
The discrepancy is due to the fact that most of investigations ignore or underestimate the thermal recovery in the heat-affect zone or reheated region in the weld.
In this work, a novel experimental testing approach based on thermal-mechanical physical simulation and digital image correlation techniques was developed to quantitatively study the recovery of mechanical property of austenitic stainless steel 304L and Inconel alloy 600 after rapid thermal-mechanical load comparable to thermal cycle in heat affected zone of weld.
Weld Thermo-Mechanical Modeling.
The dynamic strain hardening rule accounts for such a dynamic balance, through the use of the dynamic strain hardening reduction factor to introduce the effect of dislocation annihilation on strain hardening under the conditions relevant to welding thermomechanical cycles.

Afterward, the electrothermal, mechanical properties, and performance stability of these carbon nanotube films were investigated, along with mechanism analysis.
Stability of mechanical properties Previously, investigation of mechanical properties of CNTFs did not tend to be taken into consideration after repeated electrical heating, under the circumstances, mechanical measurements of CNTFs treated by various ways were performed and the variation trend was revealed before and after repeated electrical heating.
Therefore, a similar promotion of mechanical properties of the CNTFs by densification treatments was observed in Fig. 11 and 12, and property stability was also received, which was one of the practical conditions for CNTF as a heater application, especially it is very important for the CNTF-Sa with significantly elevated electrothermal properties, which did not exhibit degradation of mechanical properties after electrical heating compared to the CNTF-Sa before electrical heating and the CNTFs treated by other methods.
Graupner, et al., Effect of SOCl2 Treatment on Electrical and Mechanical Properties of Single-Wall Carbon Nanotube Networks, J.
Inoue, Fabrication and mechanical properties of carbon nanotube yarns spun from ultralong multi-walled carbon nanotube arrays, Carbon. 50 (2012) 4579-4587

Carbon body has several desired properties like stable coefficient of friction (µ), good electromagnetic shielding, low coefficient of thermal expansion (α), high damping capacity and self lubricity [5-6].
Different studies have been done on thermophysical and microstructural aspects of wood carbonizations and its affecting parameters [7-12].
Since any logical system can be fuzzified and a general logical relationship exists between solid carbon density and above carbonization factors, a fuzzy logic (FL) approach would be very efficient and effective for this case.
Artificial neural network (ANN) is the most well-known tool in prediction and classification of complex and multi-dimensional materials properties characterization with its outstanding ability of learning from sets of examples and generalizing the knowledge to new conditions [16].However, above method has many disadvantages that may get the simulation process into trouble; very slow convergence, entrapment in local minimum and of course requirement of large number of data sets are some of ANN problems.
Basically, density change in wood structure with temperature increasing during carbonization in an inert gas atmosphere condition depends on two thermophysical factors which act just in opposite direction with each other: i) Weight loss due to degradation of some wood component while heating and also evaporation of volatile chemicals in wood.