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Many researches have already been done on the investigation of crack propagation and mechanical properties under various factors in single or polycrystal metal materials.
However, the effect of temperature on mechanical properties was not explained.
Another two factors which affect the crack propagation mechanism and mechanical properties are temperature and strain rate.
Camprubi [24] studied mechanical properties of copper nanowire and investigated the young modulus.
Camprubi, “Mechanical properties at nano-level,” Lund University, 2011.

With the rapid development of science and technology, science fiction products are gradually becoming realistic and stepping into and affecting our lives.
It shows people’s worship and crazy love for mechanism under the mechanical design concept, and mechanical aesthetic has been pushed as the standard to measure all design aesthetics.
Because material is the basis of product modeling, the properties of materials will directly impact on product structure, and visual features of materials as well as the process will directly affects the final effect of product.
From the point of view of advanced and innovative feature of science fiction product, designers make an advanced analysis on product’s present and future structure, materials, technology, economy and external environment and other factors, and position consumer groups and product functions from the analyzed results.
With development technology and product’s increasingly advanced functionality, man-machine property and intellectualization indicate that science fiction product created by people will be used under the allowance of era.

This paper explains three factors which embark from the basic principle effect of SSD lifespan and induced the reliability strategies/the method of SSD lifespan prediction during the SSD design and usage period.
People begin to pay attention to a concept of SSD which is different from the traditional mechanical hard disk: SSD lifespan.
We have designed a SSD`s lifespan management software which predict and manage the SSD lifespan Brief introduction of the factors that affecting lifespan of the SSD 2.1 WL（Wear leveling） Wear leveling is a fact of life with NAND flash – blocks start to suffer bit failures after a certain number of erase/write cycles (usually specified from the thousands to the hundreds of thousands) and it is only natural that software will attempt to over-write some blocks more than others. 
SSD lifespan monitoring mechanism We proposed a detection mechanism for the SSD through analysis and study of SSD factors that affecting lifespan.
Supported feature: It will show the related protocol and optimized properties of SSD supported. 3.2 Parameters upload method Read the SSD information by using SATA standard command.

The factors proportion determined.
Factors of cover thickness determined.With analysis of factors of durability index of main beam, and reference to other information, the following comparison matrix was proposed: (2) Based on the calculation results, the proportion of the factor of cover thickness was: B1={ Environment C1, Traffic loads C2, Material properties C3 }={0.53, 0.14, 0.33}.
Tab.3 Factors weights of applicable and durable configuration Main goal Main configuration Factor Factor weights Configuration Proportion Type Proportion Applicable and durable configuration Cover thickness 0.28 Environment 0.53 0.15 Traffic loads 0.14 0.04 Material properties 0.33 0.09 Transverse connection configuration 0.18 Environment 0.25 0.05 Traffic loads 0.50 0.09 Material properties 0.25 0.05 Bridge deck configuration 0.18 Environment 0.40 0.07 Traffic loads 0.40 0.07 Material properties 0.20 0.04 Drainage and waterproof construction 0.12 Environment 0.54 0.06 Traffic loads 0.16 0.02 Material properties 0.30 0.04 Bearing structure 0.05 Environment 0.20 0.01 Traffic loads 0.40 0.02 Material properties 0.40 0.02 Expansion joint construction 0.05 Environment 0.33 0.02 Traffic loads 0.33 0.02 Material properties 0.34 0.02 Prestressed system protection construction 0.03 Environment 0.44 0.01 Traffic loads 0.12 0.00 Material properties 0.44 0.01 Reinforcement section structure 0.03
Factors weights determined.After calculated the proportion of main configurations and factors, the factors weights in the main goal could be get by multiplied the ratio of each factor.
Factors weights shown in Tab.3.

Effects of temperature and strain rate on numerical sigmoid curve for AZ41 Magnesium alloy Faramarz Fereshteh-Saniee 1,a and Farzan Barati 2,b 1 Ph.d student of mechanical engineering, Department of mechanical engineering, Bualisina university, Hamedan, Iran 2 Asociate professor of mechanical engineering, Department of mechanical engineering, Bualisina university, Hamedan, Iran comffsaniee@basu.ac.ir a, bfarzanbarati@yahoo.
Further, lower mechanical strength and poor corrosion resistance of conventionally cast Mg alloys compared with aluminum alloys have also limited their use.
Among the lightweight materials, magnesium alloys are very promising candidates because of their excellent properties, such as low density, high specific strength, heat dissipation, damping, electromagnetic shielding and recycling.
Using the finite-element method, more accurate correction factor could be determined.
Sigmoid curves for AZ41 magnesium alloy Determination of the initial flow curve using the experimental results and the analytical sigmoid curves FE Simulations of the ring test with various friction factors Calculation of forming load and geometrical changes of the sample Determination of the numerical calibration curves Calculation of pa and for various reductions and frictional conditions Preparation of the plot of the numerical sigmoid curves Use the new flow curve Specifying new friction factor and flow curve No Are the differences between new values of friction factor and flow stresses and the corresponding previous ones small enough?

There are many factors that affect the longitudinal compressive strength of fiber reinforced composite materials, and the properties of the fiber reinforced phase, resin matrix, and fiber/resin interface all have a significant impact on it.
In recent years, researchers have conducted extensive research on the influencing factors, failure modes, and failure strength prediction methods of unidirectional composite materials.
In order to better utilize the mechanical properties of composite materials, it is necessary to conduct compression performance research, providing a basic basis for engineering design.
Although the extended buckling model reflects the influence of the mechanical properties of resin and fiber elastic modulus on longitudinal compressive strength, the model assumes that the fiber resin interface is well bonded and does not consider the impact of material interface performance on longitudinal compressive performance.
At the micro scale, it mainly focuses on the analysis and prediction of mechanical properties of single-phase materials, research on interface characteristics of composite materials, mutual penetration behavior between different materials, crack propagation, and other aspects.

However, it was difficult to specify the pore structure factor affecting the methanol transport because the PCP used in the previous experiment had a huge number of small pores with different diameters and different lengths.
In this study, we proposed a perforated metal sheet of which the pore diameter and porosity (open ratio) were regularly controlled instead of the PCP in order to determine the dominant factor affecting the MCO and power generation characteristics.
X pitch Y pitch Pore Table 1 Properties of the metal sheet used in this study.
These results suggested that the pore diameter of the metal sheet was not a dominant factor affecting the resistivity of the methanol transport, while the open ratio is a dominant factor.
It was found that the open ratio of the metal sheet was an important factor affecting the methanol crossover and power generation characteristics.

Besides that, the depth of the location also affects the tensile properties of the meniscus since the structure of collagen fibers forming the meniscus has some orientation [1].
Collagens are part of the ECM and take responsibility for density and orientation in a scaffold's mechanical properties.
Silk scaffolds showed outstanding mechanical properties, biocompatibility, and versatile processability in meniscus tissue engineering.
The Use of Growth Factors in Repairment and Regeneration Process of Meniscal Tears Scaffold + Cell Types Seeding Growth Factors Results References Agarose scaffold + Meniscal fibrochondrocytes and articular chondrocytes Chondroitinase‐ABC and Transforming Growth Factors - β1 Presence of collagen, improved mechanical properties [44] Alginate Scaffold + Meniscal fibrochondrocytes Insulin-like Growth Factors - 1 Presence of collagen and glucosaminoglycans, Enhanced mechanical properties [45] Monolayer culture + Human synovium-derived stem cell Transforming Growth Factors - β1 Improved chondrogenic differentiation and proliferation [46] Intraarticular injection in sheep Bone Morphogenetic Protein - 7 Fill in the defect in the meniscus with cellular fibrous tissue [47] PCL-HA scaffold in rabbit Transforming Growth Factors – β3 Reform the articular cartilage [48] The Cell-Material Interactions in Meniscus Repairment and Regeneration.
However, these materials still have lacked in their original properties, such as mechanical strength, geometry, or architecture, which can not reach the properties of native meniscus tissue.

Precise control of the processing conditions during AM and post heat treatment (HT) is required to tailor the final mechanical properties.
Amongst other alloy systems, recent literature studies have shown that the AM processing conditions, the chemical composition, and the HT parameters significantly affect the microstructure and mechanical properties of the well-known Al-Mg based alloys [2].
Precipitation-hardenable Al-Mg alloys with Sc, Zr, or Ti additions represent attractive AM alloy candidates showing excellent mechanical properties [3, 4].
More research is needed to control the precipitation during the AM process and the subsequent post HT, and thus the mechanical properties.
Further development is planned in the future, which considers the intrinsic cyclic HT during AM and the modeling of mechanical properties.

In addition, these phenomena are the factors that degrade the compressive behavior of steel fiber reinforced concrete.
Mechanical properties of steel fiber Fiber Types Density (g/cm3) Length (mm) Diameter (mm) Aspect ratio (l/d) Tensile strength (MPa) Elastic modulus (GPa) Hooked Steel fiber 7.85 30 0.5 60 1,100 205 Experimental Program Test Program.
Hooked Steel fiber used in this study with length Φ0.5X30 mm and the mechanical properties are shown in Table 2.
Steel fiber reinforced concrete mix order and spicy time affect fiber balling phenomena and fresh properties.
Conclusion In this study, the mechanical properties of steel fiber reinforced high-strength concrete work performance, depending on changes in steel fiber volume fraction was evaluated and the conclusions can be summarized as follows. 1.