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A880 high pressure 13 stage blades in a type of 125[MW] turbine retrofit project adopts steel X22CrMoV12-1-5(call it X22 in brief), and its mechanical properties are shown in Table 1, and chemical composition is shown in Table 2.
Table 1 Mechanical properties of X22CrMoV12-1-5 material σb [Mpa] σ0.2 [Mpa] δs [%] Ψ [%] A kv [J] HB X22 796-811 943-950 16-17.4 49.7 22 295 Table 2 Chemical composition of X22CrMoV12-1-5 material C Si Mn S P Cr Ni Mo V Fe X22 0.21 0.11 0.61 0.002 0.014 11.65 0.69 0.99 0.31 Bal.
Single factor test is adopted to measure the cutting force.
Fx is cutting component of feed direction and mostly affected by the rotational speed of the spindle.
Fy is rarely not affected by the influence of variation of cutting parameters.

However, it still presents numerous drawbacks such as low productivity, its poor surface finish and the uncertainty in the mechanical properties obtained [2].
The angle of inclination of the surfaces affects the stacking of layers on top of each other.
In order not to increase the number of tests, it was decided to carry out a full factorial design with two factors: the angle of inclination of the wall and the layer height.
The first factor will have nine levels (from 10º to 90º) and the second factor three levels (0.1 - 0.15 - 0.2 mm).
Combination of factors for tests.

Thermo mechanical modeling of selective inhibition sintered thermoplastic parts Arunkumar P1,a, Balasubramanian E2,b* and Chandrasekhar U3,c 1Junior Research Fellow, *2Associate Professor Center for Autonomous System Research (CASR), Vel Tech University, Chennai 3Director, Engineering Staff College of India, Hyderabad aarunmech198@gmail.com, *besak.bala@gmail.com, crapidchandra@gmail.com Keywords: Selective Inhibition Sintering, Thermo-Structural, Polymers, Finite Element Analysis Abstract: Contemporary product design and development efforts of various engineering organizations have experienced the emergence of Additive Manufacturing (AM) or 3D printing technology as a competent fabrication option for converting digital data into physical parts without using part-specific tools or fixtures.
Thermal gradients that are inherent to the process cause significant residual stresses affecting the part stability.
The thermal and structural properties of these materials are obtained from the standard material database [12].
Khoshnevis, Performance factors in the selective inhibition of sintering process, Institute of Industrial Engineering Research Conference, Portland, OR. 2003 [6] L.

The effect of viscosity of wetting fluid on the pore structure was also studied to evaluate the parameters affecting enhanced oil recovery (EOR).
The physicochemical properties such as viscosity, wettability, the density of the fluids, and oil [8].
Also the petrophysical properties of the porous medium, such as wettability of porous medium and pore structure and geometry [9].
Physiochemical properties of oil, brine, and ZnO nanofluid.
The petrophysical properties of oil, brine, and ZnO nanofluids were carefully entered by taking data from our previous studies.

The effect of input factors on the responds was identified by mean of ANOVA.
Interaction between WOC with other factors was found to be the most dominating factor of all responds.
It possesses good mechanical properties where it is stable to creep, thermal fatigue and thermal shock at extreme temperature operation condition.
Table 2 shows the most factors contributed to tool life.
Conclusion The RSM was conducted to evaluate the process parameter affecting tool performance, surface roughness and resultant force.

However, the TWSME is not an inherent property of SMAs, but can only be obtained through a suitable thermo-mechanical treatment, usually termed training.
Various training methods have been utilized to develop the TWSME, and many factors influencing the development of the TWSME in NiTi have been investigated.
The physical properties of this material are presented in Table 1.
Table 1 Physical properties and chemical composition of the SM495 NiTi rod Physical properties Melting point 1310oC Coefficient of thermal expansion 6.6x10-6/oC Density 6.5g/cm 3 Ultimate tensile strength 1100MPa Electrical resistivity 76μhm-cm Total elongation 10% Elastic Modulus 28-41GPa Transformation temperature 60oC Table 2 Dimensions of NiTi specimens (unit: mm) Shape of specimen Solid cylindrical Tubular A Tubular B Tubular C Tubular D Tubular E Length 38 Outer diameter 13 Inner diameter 3 5 7 9 11 Thickness 5 4 3 2 1 The experimental system is shown in Fig. 1.
In such cases, a difference in the properties of the internal and external regions can occur.

Its design covers mechanical analysis, model geometry, material properties, and many other factors.
When two polyhedron become homeomorphism contain many property that will explain in the latter case in detail.
Therefore the sensitivity also affected by the air damping which with the system is proportional to the surface area for air.
As the main connection is suspension, the knots become the main factors that affect the movements of various parts and subsystems.
The blank can be a circle or square or others that the shape of the blank will affect the subsequent design.

Carbon fibers combine low weight and exceptional mechanical properties,making them ideal reinforcements forpolymer composite materials.
Research on interface properties.
Interfacial bonding strength will directly affect the mechanical properties of composite materials [2].
In terms of its research methods can be divided into the mechanical analysis and instrument analysis.
Interfacial properties of composite materials is characterized by the critical stress intensity factor (KIC) and the critical energy release rate (GIC).

Being a non-mechanical metal removal process, ECM is capable of machining any electrically conductive materials with high stock removal rates regardless of their mechanical properties, such as hardness, elasticity and brittleness[1-3].
Effects of Electrolyte Flow Filed The numerical solution discussed above only considers the factor of electric filed within ECM gap domain.
The machining experiments of ECM have proved that electrolyte flow can result in the change of electrolyte conductivityκ.The most important influencing factors affecting on κare electrolyte bubble rate and temperature rise.
The change of κcan affect the boundary condition (5), which is applied to calculate 1b .
So we call this numerical solution involves the two factors of electric field and electrolyte flow filed in ECM process synchronously.

In severe cases, it will also cause natural environmental pollution, affecting people's happiness and property safety [10].
Zhou et al. [21] applied ABAQUS nonlinear FEM for investigating how corrosion factors (defect depth, length, and spacing) affected defective X80 pipelines in terms of the failure pressure and maximum equivalent stress, confirming defect depth the most significant influencing factor.
X60 pipeline steel is widely used in oil and gas transportation, marine, high-pressure, high-temperature, and corrosive environments due to its excellent mechanical properties, corrosion resistance, and processability, and has high utilization result.
Analysis of the Effect of Different Geometric Factors on Failure Pressure 4.1.1.
For the convenience of mathematical processing, before fitting the formula, the factors affecting defects are first dimensionless.