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The austenite steel was deformed by cold-rolling to 20, 40 and 70% reduction.
Then samples were deformed by cold-rolling to 20, 40 and 70% of rolling reduction.
After 40% of rolling reduction in the martensite texture the fiber α1=<110>║RD with the strongest {001}<110> orientation is still.
Magnetic investigations revealed that the volume fraction of martensite increases with the increasing cold reduction in all three melts of AISI 304 steel.
The increasing deformation to 70% of rolling reduction leads to martensite transformation γ→α’ in the steel structure.

At this time speed detector detects signal and real-time collects data into microcomputer, in order to get variation waveform about oscillation frequency.
When vehicles go through the loop and the frequency turns into peak, the center of loop will coincide with the center of the vehicle, now the collected data is the exact value of speed and position.
Speed evaluation based on cloud model is processing the data of time interval when vehicles go through sensors, to gain speed with the combination of positive cloud and reverse cloud algorithm.
(3)According to the related concepts of cloud model, it is known that the average of the experimental data is the actual expect, the maximum of certainty, recorded as max (real(u)).
Simulation results show that cloud model has strong adaptability and real-time for scattered data when measuring the driving position of vehicle, and can overcome the faults of other algorithm, which require high accuracy for data.

The optimization resulted in a 6.5% mass reduction.
The optimized part resulted in a 48.61% weight reduction.
The maximum deformation increases as the mass reduction increases, as shown in Fig. 6.
A maximum weight reduction of 39% was achieved with the U-shaped rib.
In addition, the authors would like to thank the Arab Academy Motors team for providing technical data regarding the upright designed for their formula student car.

Vehicle weight reduction is an important measure to reduce fuel consumption, drop the pollutant emissions and noise and vibration reduction.
It is also a way of vehicle weight reduction such as adopting the new technology such as bonding.
Dow Chemical To set up a joint venture with Turkey AKSA with mainly the production of carbon fiber(AKSA is the world's largest acrylic fiber manufacturer, got involved in the carbon fiber industry in 2008) 7 2011 Japan's Teijin large carbon fiber company Develop the mass production of carbon fiber l frame instead of stee Data sources: official website and related statistical agencies. 2 The main reason analysis In this paper, on the basis of extensive investigation , the main reasons have been made a detailed analysis , and the next five aspects can be summarized: .First of all, at the present stage, it is difficult for our car enterprises to fundamentally solve the contradiction between the weight and safety.
Automobile weight reduction will affect on safety performance.
Doctoral Fund of Ministry of education project” Automobile Full Life Cycle Evaluation of Energy Saving and Emission Reduction Based on Technological Change” （20090161110008）.

The simulation results showed that the optimized energy distribution was almost up to 90% and the decoupling degree was greatly improved by comparing the initial data, proving the optimized data played a greater effect on engine vibration isolation and further verifying the feasibility of optimization design method.
Table 6 The energy distribution of energy decoupling simulation Name Total Energy (%) X Y Z RXX RYY RZZ RXY RXZ RYZ Stage 1 100 1.31 89.24 7.37 0.13 0.88 1.05 0.00 Stage 2 0.96 4.99 90.10 0.30 3.57 0.08 0 0.05 0.03 Stage 3 95.54 0.57 3.04 0.19 0.32 0.23 0.05 0 0.03 Stage 4 0.04 0.02 0.91 3.85 92.21 1.97 1.01 0 Stage 5 0.02 0.01 0.94 93.55 3.39 1.73 0 0.16 0.18 Stage 6 0.07 0.97 0.26 2.71 0.88 95.13 0.00 Through the analysis of the simulation data, all the frequency data from the system simulation was between the theoretical values: the maximum was about 16Hz and the minimum was about 6Hz.
Through the analysis of the data, the simulation algorithm in this study was proven to be successful.
Second, the vibration frequencies of the suspension system in the original data were compared after software Adams was used for the simulation, suggesting the optimized result could better play an effect on the vibration reduction of the suspension system.
The simulation data showed the optimized distribution after the optimization using energy decoupling was up to 81% at worst and proved the optimization could make the suspension system achieve a more ideal vibration reduction effect.

As discussed in [16], fatigue data is in good agreement with the data reported in [10, 13].
Fitted parameters for power-law approximation of fatigue data for bare AA 2024.
This becomes obvious, if a simple power-law is fitted to the S/N-data, i.e.
The data from Fig. 4 is for both alloys in good agreement with the predicted values in the Kitagawa-Takahashi diagram.
Kitagawa-Takahashi diagram for clad AA2024, data partially taken from [20].

Reduction in volume of water due to vegetation is modelled as porosity.
The predictive capability of the model is assessed against experimental data with regard to distributions of depth-averaged velocity and boundary shear stress.
The mean wall velocities from the experimental data () were imposed as the boundary conditions to consider the strong wall effects in this case.
Based on the local friction factors outside the shear layer calculated from experimental data of and , was found to be 0.0003m.
The advection term, (Beta=), was worked out using above equations and experimental data[] and was shown in Fig. 3.

This research is based on the precise data of carbon footprint.
So it is of particular significance to support emission reduction decision only by some estimated and rough carbon data.
Several important topics of COQ Research on Carbon Footprint Data Estimated and Allocation.
Daganzo [21] emphasizes that the lack of precise details of data should not be an excuse to escape analysis.
This is a basic and key issue for supporting the enterprises with voluntary emission reduction only by using rough data.

The experimental data were obtained by computer data collecting system.
It can be found from the curve that the electric resistance of Ga36.5Sb63.5 melts generally decreases with temperature reduction.
During the reduction of temperature starting from 860℃, the electric resistance is reduced with temperature reduction.
However, when the temperature falls to 735℃, the electric resistance comes to rise with the reduction of temperature, and reaches the maximum by the temperature nearing 723℃.
Afterwards, the electric resistance starts to decrease again with the reduction of temperature.

This paper describes the manufacturing technology for these products, in which the solutions are based on theoretical and experimental studies, which provide: an increase in specific strength; reduction in weight of the product; reduction of labor intensity and increase in material utilization factor.
Metallography of connection zones a, b - aluminum alloys 1571 and AA5056; c - titanium alloy 4Al-3Mo-1V Conclusions New technological processes provide: increase in the specific resistance by 1.5 ... 1.7 times; weight reduction by 1.5 times; labor intensity reduction by 2 ... 3 times; increase in material utilization factor from 0.3 to 0.9.
Comparison of theoretical and experimental data concerning relative thickness at dome and base points as well as relative height of the workpiece indicates their satisfactory correspondence (up to 15 %).