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From prior knowledge, small particles should lead to enhanced physical properties.
Main and interaction effects of three factors affecting the amount of GNR/Z composite powder retained at different mesh were evaluated using general factorial design of experiment.
For more than two levels in a factor, Tukey’s test is applied to identify which level is significantly affecting the amount of retained GNR/Z composite powder.
Rashmi, Waste tire rubber in polymer blends: A review on the evolution, properties and future, Prog.
De, Recycling of silicone rubber waste: effect of ground silicone rubber vulcanizate powder on the properties of silicone rubber, Polym.

Introduction The failure of adhesive joints depends on many factors such as specimen geometries, material properties of adhesive and adherend, surface preparation, environmental test condition, and etc.
Among them, the adhesive properties can be considered as the most dominating factor affecting failure strength.
The adhesive strength obtained has a high relationship with the mechanical properties of the adhesive.
The different adherend thickness also induces constraint effects by affecting on plastic deformation in the adhesive layer.
He, Effect of Mechanical Properties of Adhesives on Stress Distributions in Structural Bonded Joints, Proceeding of the World Cogress on Engineering vol.

Polymer blending are widely used as a method for improving both mechanical properties and processability[10].
Nevertheless, we still think its properties “unsatisfactory”, so it could be improved further.
Results and discussions Factors affecting the tensile strength. when DOP content was 35 g, the tensile strength of the samples was decreased with the increase of CPE content (see Fig.1).
Factors affecting the elongation rate.
By increasing the hot-pressing temperature, the blending effect between PVC and CPE as well as the mechanical performance of the samples were increased, however, over-high hot-pressing temperature would result in plasticizer precipitation.

It was observed that the anisotropic conducive adhesive bonding strengths decreases much after thermal cycle and humidity experiment; it can affect not only on the maximal strength but also interfacial stiffnesses.
The thermal damage factor and humidity damage factor can be derived from the experiment.
When the temperature and humidity is the bonding interfacial major damage factors, the interfacial damage factor Hκ is relation to the duration.
The constitutive properties of the bonding interface can be determined through the cohesive zone damage models by the four parameters maxσ ,δ,αandκ.
Fig. 2 demonstrated the effects the damage factors that can impact not only the initial bonding energy but also the bonding strengths.

Pereira2,d 1Universidade Federal de Minas Gerais, Department of Mechanical Engineering, 6627 Antonio Carlos Avenue, Belo Horizonte, MG 31270-901, Brazil, Phone: + 55 31 3409-5238, FAX: +55 31 3443-3783 2Universidade Federal de Minas Gerais, Graduate Program in Mechanical Engineering, 6627 Antonio Carlos Avenue, Belo Horizonte, MG 31270-901, Brazi aavila@demec.ufmg.br, bmarqsaline@gmail.com, cvivismunhoz@gmail.com, dcarleyone@hotmail.com Keywords: Graphene, Carbon Nanotubes, Composite Materials, Mechanical Properties, Nanostructure Morphology.
This high stiffness and elevated strength (Tang et al [6] reported a 130 GPa value), can be attributed to two factors, i.e. the elevated specific surface area (≈ 2600 m2/g) and the strong carbon-carbon covalent bonds.
Among those researchers are Kim et al [8] whom described no significant increase on tensile properties of the addition of CNTs to carbon fibers/epoxy laminates.
The traditional tensile tests using ASTM D 3039 specimen provide the trend how the nanostructures affect the overall laminate stiffness and strength.
Another important issue is how the nanostructures can affect the interlaminar shear strength based on short-beam three point bending tests (ASTM D 2344).

Xue etal[4] analyzed the mechanical properties of the LVL made from poplar and birch wood by composite material mechanics and computer simulation method.
The loading method was referred to Physical and Chemical Properties Test Method of Wood Based Panel and Decorated Wood-based Panel (GB/T 17657 - 1999).
The pattern GFRP arranged could not be quantified in general, when taking results as factors in a relationship of high correlation.
Regression equation was established by introducing of two factors based on the above parameter analysis: Zs( xr,yp) = ( c1xr2+ c2xr + c3) ( c4yp2 + c5yp + c6)
Hu, Mechanical properties analysis and reliability assessment of laminated veneer lumber (LVL) having different patterns of assembly.

Quantitative acoustic emission techniques were used to measure micro fracture properties.
Factors Affecting Modulus of Elasticity of Concrete.
The void spaces and the micro-cracks in the transition play a major role in affecting the stress-strain behaviour of concrete.
The number of micro cracks in concrete affects resulting mechanical properties of concrete.
Weiss, Chapter 19 - Elastic Properties, Creep, and Relaxation, ASTM 169D, Significance of Tests and Properties of Concrete and Concrete Making Materials, ASTM International, West Conshohocken, PA, 2006, pp. 194-206

Introduction An important factor affecting the process of magnetization of an ensemble of small (single-domain) particles is their magnetostatic interaction.
Both external magnetic field H and uniaxial mechanical stresses σ are applied along the Ozaxis. 5.
The saturation remanence of interacting nanoparticles changes in a similar way, due to the mechanical stresses.
This behavior of Hc and Irs is connected to the fact that the magnetostatic interaction stronger shuffles the magnetic moments of low-coercive nanoparticles, and has a smaller influence on the particles in the high-coercive states (see Fig.4с). 2 Here and below, a record «c = 0» means that the concentration is small, but nonzero (otherwise the magnetization of the sample would also turn to zero).Figure 4: (a) the dependence of the coercive force Hc and (b) saturation remanence Irs of an ensemble of non-interacting (solid curves) and interacting (dashed curves) spherical nanoparticles on the relative stress kσ; (c) the dependence of the relative coercive force Hc(c = 0.24)/Hc(c = 0) and the relative saturation remanence Irs(c = 0.24)/Irs(c = 0) on the mechanical stresses; q1 = 1, Ain = 0 Acknowledgments The work was partly supported by grants of Ministry of Education and Science: Federal Contract № 02.740.11.0549, «Magnetic properties and spin-transport phenomena in nanoscale
Kirienko, ``Effect of mechanical stresses on the coercive force of the heterophase non-interacting nanoparticles,'' Advanced Materials Research, vol. 472, p. 2199-2202, 2012

FEA models were developed to study effects of implant jacket geometry and surface properties on implant deployment and biomechanics.
This is, however, dependent on the intimacy and properties of interfacing tissues.
Instead of changing materials, geometrical and surface (interfacial) modulation can allow adjustment to macroscopic parameters (e.g. mechanical stiffness, friction and wear) normally associated with material bulk properties.
Radioopaque in situ curing polymer is then injected into a jacket of similar properties to fill the nucleotomy defect.
Conclusion This study demonstrates methods for modulating elastomeric and soft medical device mechanical properties without resorting to material modification.

Table 1 Chemical composition of EN-31 in wt% C Mn Si P S Cr Fe 1.200 0.596 0.255 0.045 0.05 1.18 Bal Table 2 Mechanical properties of EN-31 Tensilestrength 851N/ mm2 Yieldstrength 567.33N/ mm2 Hardness 24HRC BMC TC45 20 CNC milling machine (Fig. 1) with constant flow recycling coolant was utilized for performing the operation.
The values of the 4 factors and 3 levels of design that were taken into consideration are shown in Table 3.
The hierarchy of the factors affecting the processes is shown by the delta value.
Effect of Various Heat Treatment On The Mechanical Properties of Steel Alloy EN31.IJIRST –International Journal for Innovative Research in Science & Technology| “Volume 3 | Issue 12 | May 2017
Kaynakli, on Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis.