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A Study of Co2 Emission and Indian Wind Industries –Area for Improvement Kumar P,1 a *and A John Rajan2,c 1Department of Mechanical & Production Engineering, Sathyabama University, Chennai, India 2Department of Mechanical & Production Engineering, Sathyabama University, Chennai, India a*rkpkumar@gmail.com , bajohnrajan@gmail.com Keywords: Greenhouse gas emission; weather and climate; wind energy; CO2 emission.
The weather and climate have been changing continuously due to a wide range of human factors.
The greenhouse gas emission will affect the rainfall also in turn the agricultural is also got affected.
Ice sheets on Greenland and in Antarctica have lost mass, which is very likely to have contributed to sea level rise, another author Baron talks about the rigorous analysis of the business cycle properties of CO2 emissions within and across countries and proposes four salient facts regarding their cyclicality and volatility.
John Rajan, Professor and Head Mechanical and production department of, Sathyabama university, for his valuable guidance and consistent encouragement.

While for MLCP, its energy absorption properties decline continually by small margin as the RH increase in relative humidity range between 40%-95%.
The primary aims of this study are to: (a) compare the energy absorption properties of honeycomb paperboard and MLCP; (b) explore the differences of energy absorption properties of two paper-based materials in various ambient humidities.
Another method to evaluate the energy absorption properties of cushioning materials was by using energy absorption curves [1, 6-7].
Energy absorption properties of honeycomb paperboard and MLCP at different humidities.
While energy absorption properties of MLCP declined by small margin as the RH increase.

In this paper, the simulation heat affected zone (HAZ) continuous cooling transformation (SHCCT) curve of X90 pipeline steel was drew by using Gleeble 3500 simulator.
In conclusion, optimization control measures on the microstructure and properties of X90 pipeline steel weld HAZ are presented by above comprehensive analysis.
In this paper, the continuous cooling transformation rules of the weld HAZ for X90 pipeline steel was researched by thermal simulation method, the microstructure and hardness of weld HAZ of different cooling rate were simulated and analyzed, and the control measures to optimize microstructure and properties of weld HAZ of X90 pipeline steel were proposed, which provided a technical basis for the welding process of X90 pipeline steel.
Its chemical composition is listed in Table 1 and the mechanical properties are shown in Table 2.
Table 2 Mechanical properties of experimental X90 line pipe Yield strength Rp0.2, [MPa] Tensile strength Rm, [MPa] Elongation A, [%] CVN toughness (-20°C), [J] Vickers hardness HV10 720 812 23.0 312 254 Table 3 Parameters of weld HAZ simulation test for X90 line pipe Peak temperature(Tp):1350°C, Heating rate:100°C /s, Holding time at the peak temperature:1s Temperature, [°C] Cooling rate, [°C /s] Cooling time from 800°C to 500°C (t8/5), [s] 1350 to 900 60 - 900 to 100 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 40, 60 3000, 1500, 600, 300, 150, 60, 30, 15, 7.5, 5 Results and Discussion Fig. 1 shows dilatometer curves for weld temperature cycles with various cooling rate.

It is aimed to test structural performance of old beams, to see if different structural use affects the performance and deformation of the wooden elements.
At first glance, it is seen that selected wooden pieces have been affected by mostly moisture; especially the ones have connection with masonry parts of the building.
Properties of Beam Elements Sample Name Original Dimensions in section (b*h mm) Approximate Specimen dimensions (b*h*l cm) Use in Structural System Deterioration type B01 160*160 A(5*5*20) Old Main (supporting) beam color change, some holes but they effects only the surface B (5*5*20) C (5*5*20) B05 75*135 A(5*5*20) New Secondary beam - B(5*5*20) Table 7.
References [1] EN 384:2004 Structural timber-Determination of characteristic values of mechanical properties and density [2] EN 408:2003 Timber structures - Structural timber and glued laminated timber - Determination of some physical and mechanical properties [3] M.
Karaman, Wooden Load Bearing Structural Elements of Kula Traditional Houses Case Study of Zabunlar and Goldeliler Houses, in J.Grill (Ed.), Proceedings of the International Conference on Wood Science for Preservation of Cultural Heritage: Mechanical and Biological Factors held by Cost Action IE0601, November 5-7, Braga, 2008 (2010), pp.316-322.

It analyzes the relationship between the personal factors and their evaluation scores.
Data mining techniques are helpful in analyzing the factors affecting the remote open management system [4-5]
Users’ property follows as Table 1.
The Apriori algorithm of association rules and classification techniques in data mining are introduced, for example, in “data structure” the degree of influence is mined with Aprori algorithm; the decision trees is generated with the decision trees classification algorithm, the factors is analyzed which lead to the achievement, the key areas affecting are found, and the remote open management system is improved.
Mechanical Systems and Signal Processing. 2012, 21(5): 2238-2247.

Introduction A cylinder works as a basic component for installing other parts, such as transmission shaft, cam shaft and gears, whose machining quality will directly influence the relative position between the crankshaft and connecting rod mechanism and gas distribution mechanism etc.The surface finish quality of the deck face is a major factor which affects the head gasket sealing of an engine block and a critical quality measurement that determines how well the part function in service.
However, some hypothesis condition affect the prediction accuracy of Z-A model.
So this paper chooses the J-C model to describe the properties of 6061-T61, J-C model is shown as follows: (1) Where σ is the material flow stress, ɛ is the plastic train, is the strain rate, is the reference strain rate.
The empirical constants are as follows: A is the yield stress, B is the pre-exponential factor, C is the strain rate factor, n is the work–hardening exponent and m is the thermal-softening exponent.
Experimental investigation and modeling of thermal and mechanical influences on shape deviations in machining structural parts, International Journal of Machine Tools & Manufacture[J], 2010, 50: 1015–1021

However, in actual operation, due to technology, working conditions, design and many other factors, may cause abnormal vibration of automatically benchmarked devices.
Modal is a natural vibration characteristics of the mechanical structure, each mode has a specific natural frequency, damping ratio and mode shapes.
Also, according to ω = 2πf can be obtained for each order natural frequency of the system that modal frequencies, mode shapes that modal shape. 4.MODAL ANALYSIS The steps of modal analysis have: modeling, setting the material properties, the definition of the boundary conditions, meshing, solving, view the results, the process shown in Figure 2.
Its material properties are shown in Table 1.
Material properties Description Modulus of elasticity/Gpa Poisson ratio Density/ 45 200 0.3 7.85 Meshing has a direct impact on the whole calculation results.

., often present viscoelastic-plastic behaviors, which is an important influencing factor of the long-term stability of salt caverns in it.
Abaqus requires that creep properties be defined through the same type of test data used to define work hardening properties.
The computational range includes salt rock, mudstone and interlayer, of which mechanical properties are displayed in Table 1.
Schulze, In: Proceedings of the Third Conference on the Mechanical Behavior of Salt, Germany: Trans.
Dawson, In: Proceedings of the First Conference on the Mechanical Behavior of Salt, Germany: Trans.

The elastic properties of a homogenous crystal are generally anisotropic.
Density is one of the parameters most widely used to evaluate mechanical properties of wood and it is an important factor that affects the velocity of an ultrasonic wave (Karsulovic et al., 2000) [8].
Several studies have demonstrated good relationship between the velocity of sound and mechanical properties of wood (Oliveira et al., 2002) [9].
Ultrasonic waves are an effective means for examining and analyzing certain physical properties [10] of the materials.
The results obtained and analyses carried out, therefore, allow us to conclude that the non-destructive ultrasound based method can be employed to obtain reliable evaluations of the mechanical properties of wood.

Many reports have described the manufacturing methods and mechanical properties of ultra-fine grained steels.
These tendencies imply that grain size affects not only yielding but also work-hardening behavior.
One factor which strongly influences these properties is grain size.
However, since little information is available on grain refinement in ferritic stainless steels, the possibility of grain refinement and the changes in properties with grain size in ferritic stainless steel are not yet well understood.
However, the average grain size in the cold-rolled and annealed specimens was hardly affected by the annealing temperature.