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As specified in the data sheet, the individual cast of polymer composite was allowed to cure under a load of 40kg at room temperature for 24 hours before it is removed from the mould.
Statistical analysis shows that G10E30 offers 2.2% weight reduction when compared with G10E despite the fact that they contain same fibre contents.
Conclusion This experimental study has been able to offer weight reduction as evident in the panel weight analysis.
This study has equally shown the influence of oriented reinforced composite in weight saving which is a novel approach in energy reduction as per insulated panel payload in refrigerated vehicles.
Part of the progress made in this study is the prospect of energy reduction if oriented reinforced composite sheets is adopted as cover sheet of insulated panel.

In the Unitank WWTP, oxidation-reduction potential (ORP) reached the lowest value of -17 mV and the highest value of 130 mV at the end of anoxic/anaerobic stage and aerobic stage, respectively.
In order to achieve the objectives of this study, a full-scale Unitank WWTP in Shanghai was surveyed to collect operational data related to BPR.
The DO and oxidation-reduction potential (ORP) were measured by on-line DO meter and a portable ORP meter (MTC10103, Hach Com., USA), respectively.
Substituting above data to Eq. (3), the theoretical TP variation during anoxic/ anaerobic stage and aerobic stage are shown in Eq. (6)
Fig. 4 Sludge P content of six WWTPs in Shanghai and Jiangsu The sludge P content in the Shidongkou WWTP was 15.4±2.1mgP/gSS, close to the data in WWTP J1 with CAST process.

Based on production data from a hot rolling factory, a 3D numerical simulation model for vertical-horizontal rolling is built and validated using rigid-plastic FEM in this study.
Along the slab length, the length of width loss increases with the width reduction, and the maximum length is about 1000mm when the lateral reduction is 100mm.
Setting the width reduction is 20mm, 40mm, 60mm, 80mm, 100mm; the thickness reduction is 35mm, 45mm, 55mm, respectively.
From the numerical simulation results, collect the data of width distribution and fit a quintic polynomial curve, then seek first-order derivative of the fitting curve, thus the coordinates of the four feature points can be get.
Thus the SSC velocity model is developed, which changes with the entrance width, the entrance thickness, the width reduction and the thickness reduction.

It is dangerous to use the existing fatigue data to design the welded structure within the super long life regime.
It is assumed that the fatigue test results are submitted to lognormal distribution, two nominal S-N curve with slope m and K times plus or minus the standard deviation is used to form a data dispersion band (K is the eigenvalue), specified probability of survival was 95%, confidence level is 75%.
Nominal value is calculated by the following process: Calculation of all the stress of fatigue test data points range and the number of cycles N base 10 logarithm
Let Ci be the experimental data on the value, the value of m is used to calculate the average of logC (Cm) and standards variance stdv:
However, the ultrasonic fatigue test results are obtained under sheet conditions, and is higher than the fatigue strength corresponding to the 20~25mm plate thickness, therefore, if the test results and the S-N curve with the specification of 20~25mm plate thickness of the specimen fatigue test data statistics are compared, and the correct way is to test the fatigue strength data divided by f (t) reduction, rather than multiplied by the plate thickness correction formula.

Based on the point cloud data of BMW X1prototype measured by the CMM(three coordinates measuring instrument) , specific geometries of car body is achieved.
Reference data are obtained for the parameters in the formula: m = 1685kg, V '= 0km / h, V = 48km / h, t = 80ms.
Fig. 12 Data of three beams after the lightweight Fig. 13 The number of iterations vs. the mass of the beams Fig. 14 The number of iterations vs. the axial stress of the beams Table 3 Data of three beams Serial number a b S1 0.06m 0.006796m S2 0.06m 0.006109m S3 0.06m 0.003348m Fig. 15 The shape of beam cross-section On the basis of ensuring the performance of the car body, we can observe from the data in Fig. 13 that the weight before is 5.6 times that after the lightweight.
Conclusion To the characteristic of chassis layout and load distribution for electric car, this paper mainly conducted an optimization of the topology and size with car body, most of which includes: (1) Use CMM to collect data about key points of car body.
We obtain the CAD model and the original data of the bodywork, with reverse engineering techniques and the software Imageware

Onikura et al. [2, 3] found that the use of ultrasonic vibration reduces the friction between chip and rake face, resulting thinner chips which lead to the reduction of cutting forces.
Tawakoli et al [8,9] demonstrated that in ultrasonic assisted dressing of CBN grinding wheels, considerable reduction in grinding forces and dresser wear is achievable.
Fig. 2 Ground surface vc=60 m/s vft=1000 mm/min ae=200 µm In order to achieve reliable data each test was repeated 4 times.
In all the figures, lines were formed by calculating the least-squares fit through the data points for a second-order polynomial equation.
• Comparative experiments of the grinding forces demonstrated up to 40% reduction in normal grinding force for the workpieces machined with superimposed ultrasonic vibration.

The study is based on the result analysis of survey data and energy characteristics of the participating companies belonging to the following agrifood sectors: meat, dairy, horticultural, distribution and wine.
With the results of this work is possible to rating the companies in relation to reference levels of energy and GHGs emissions and thus promote the rational use of energy by the application of practice measures for the improvement of the energy efficiency and the reduction of GHGs emissions.
In this context, the development of studies that allow the reduction or rationalization of energy consumption is important [1].
The InovEnergy project is the most relevant Portuguese project in this context, aimed to evaluate and promote energy efficiency measures applicable to the Portuguese agrifood industry, through the identification of energy consumption profiles of the greatest number of data sets collected to date in portuguese agrifood companies [14-17].
Sector Employees Business volume (103€/year) Raw material (ton/year) Final product (ton/year) Electricity (MWh/year) Meat 4 - 48 250 – 8000 42 – 4466 27 – 3349 38 – 1014 Dairy 6 -31 130 – 6000 140 – 1500 25 – 1322 27 – 1454 Horticultural 2 - 26 200 - 2500 400 - 4650 400 - 4650 25 - 1025 Distribution 9 -67 500 - 12500 30 - 2500 30 - 2500 136 – 1027 Wine 1 -22 50 - 4687 50 - 13000 33 – 9750 [kl] 9 - 230 Results analysis and discussion In order to evaluate the portuguese panorama of energy consumption and GHGs emissions in agrifood industry and to identify the practice measures and strategies that promote energy efficiency, surveys and audits data was obtained, crosschecked and analysed.

This simulation system results in a reduction of cost because several experiments on all possible combinations of input data are no longer needed [11,12].
The available data was divided into 70% for the implementation of the training process and the remaining 30% was used as a test data for evaluating the trained model.
The values of RMSE are 0.4745 and 0.6847 for training and testing data respectively.
Moreover, the outputs of test data confirm the strength of this model in predicting the results.
Where the root mean square error (RMSE) values for both training data and test data were 0.474 and 0.684 respectively.

Therefore, the computed displacement data provided by FEA codes must be translated into forms acceptable by optical software.
With the displacement data and the corresponding code, the optical performance of the mirror can be analyzed.
In the validation process, the free-free mode condition was performed to obtain measured data and then used for comparison with data predicted by the FEA model.
The experimental data were obtained via hammer testing using a Photon Plus signal analyzer that was connected to a PCB tri-axial piezoelectric accelerometer (Model 356B21).
The measurements were carried out by impacting the mirror at point 1 and acquiring the response data at points 1 to 36.

Dysprosium is produced mainly by the calcium thermal reduction of DyF3, alloy distillation of Dy-Mg based the calcium thermal reduction of DyF3 or magnesium thermal reduction of DyCl3, or distillation of Dy-La based lanthanum thermal reduction of Dy2O3 [1,2], as well as the electrolyzing Dy3+, sourcing from DyCl3 or the dissolved Dy2O3 in molten salts [3].
As known from Fig. 2(a), the reduction current obviously enhanced after the negative direction scan potential across -2.25V, and there was no reduction peak between -0.5 and -2.25V.
(1) Thermodynamics calculation data [17] about reaction (1) and decomposition of CaCl2 at 850℃ are list in table 1.
The reduction progress of solid Dy2O3 were directly completed from Dy2O3→Dy.
Che: Handbook of Inorganic Thermodynamic Data (Northeastern University Press, Shenyang 1993).