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Online since: June 2011
Authors: Serkan Toros, Suleyman Kilic, Fahrettin Ozturk
Experimental data required for the simulations for each model is tabulated in Table 3.
The simulation results and experimental data for springback under different deformation speeds were plotted as shown in Fig. 7(a-d) based on the sheet thicknesses.
It can be seen that simulation results of springback were in good agreement with experimental data.
The simulation results of springback were not in good agreement with experimental data.
Project Title: “Investigation of Using Biaxial Stretch Test Data for Finite Element Codes of Sheet Metal Forming”.
Online since: August 2013
Authors: Lin Wu, Si Yu Hao, Ting Ting Yang
Analysis of energy consumption during operation of the elevator Analyze the operation process of the traditional elevator:In the traditional elevator running process, car displacement distance is equal to counterweight displacement distance.Suppose the mass of car is,the mass of counterweight is,load M.When elevator is moving up,if,the gravitational potential energy reduction of counterweight less than the increment of car and load,the motor output power is (M0+M-1.5t)gh.
If ,the gravitational potential energy increment of counterweight less than the reduction of car and load,excess energy consumption in the form of heat.Likewise,when elevator is moving down,if,the excess energy consumption in the form of heat.On the contrary,if,the motor output power is (1.5t-M0-M)gh.
As for new energy-saving elevator,suppose the load of elevator is ,the car rising distance is,so the the counterweight drop distance is ,the car running speed is,so the counterweight running speed is.According to the relation between work and energy,when elevator moving up,the increment gravitational potential energy of car and load is W1=(M1+M0)gh1,the reduction gravitational potential energy of counterweight is (1) The formula show that .Energy transformation principle is the same on progress of moving up and down.[3] From the above analysis,under ideal conditions, the gravitational potential energy variation of car equal to the variation of counterweight..Considering the machinery energy loss and CVT transmission efficiency,the transform of gravitational potential energy may not reach one hundred percent.The difference is provided by the motor.According to the mechanical manual, CVT transmission efficiency is 90%,the motor output power is
radius Parameter values 2m/s 1000kg 1000kg 0.90 44.8kg.m2 420mm Take the following relationship:,the ratio of car speed to counterweight speed is.At the same time,the ratio of car vertical distance to counterweight vertical distance is Fig.3 (a)Elevator running distance(b)Elevator speed(c)Elevator acceleration(d)Elevator jerk Elevator car running distance is shown in Fig.3(a),the change of acceleration of the car is shown in Fig.3(b),the acceleration and jerk(differential acceleration of time) are shown in Fig.3(c) and Fig.3(d).Enter the MATLAB, type SIMULINK in the command bar enter the simulation interface,establish the simulation system block diagram(shown in Fig.4) according to the logical relationship between the transmission of information.Then set the initial parameters of each link, which can carry on the kinematics simulation analysis to mechanism.[4]The scope can display all the motion parameters, we can also the simulation results as a data
Online since: July 2013
Authors: Zuo Hua Wang, Jia Hui Zhang, Hua Zong, Wei Wang, Hong Bo Fang
In order to establish the accuracy and reliability of the collected data, all tests were replicated twice and the experimental blanks were run in parallel.
Effects degree between metal ions with HPAM was investigated by studying spectra reduction, and interaction mechanisms were studied by the shift of spectrum.
This trend is attributed to the shielding effect [3, 4], which leading in turn to a reduction in electrostatic repulsion and consequently to a less significant expansion of the polymer coils in the solution.
With oxygen in sewage, Fe2+ mainly by reduction causes the disintegration of the HPMA.
Online since: April 2009
Authors: Michael Ferry, M. Zakaria Quadir, K.D. Lau
.%) Al sheets were brushed, stacked and roll-bonded at room temperature to 50% reduction per rolling cycle for up to at five cycles.
The arrangement shown in Figure 1b was cold rolled without lubrication to 50% reduction in a single pass using a two high rolling mill with 210mm diameter rolls rotating at 10m min -1.
The shear strain, γ, was calculated from the rolling reduction, r, and the shear angle, θ, at each thickness location using [4]: ( ) ( ) 2 2 1 1 tan ln 2 1 r γ θ r r r − = ⋅ − − (1) and the equivalent strain εeq was calculated using [4]: 2 2 4 1 ln 3 1 3 eq γ ε r   = +  −  (2) Figure 2b shows the distribution of shear strain as a function of distance from the surface to the mid-thickness of the sample.
The best fit of the data in figure 2b generates the following empirical relation: 5 4 3 2 )/(9.503)/(3.750)/(4.422)/(9.112)/(6.145.1 o o o o o tt tt tt tt tt − + − +− −=γ (3) This overall strain distribution throughout the sample thickness is given in figure 2c.
Online since: November 2015
Authors: R. Pramod, M.E. Shashi Kumar, S. Mohan Kumar
Extensive and accurate frequency data determined by the 3-D Ritz analysis have been developed for thick, tapered, circular and annular plates by A.Demir, V.Mermertas [13].
Table 1: Input data for evaluation of annular plate.
In the present work it has been clearly established with the available modal data that there is a decrease in the natural frequency in the cracked system.
Moreover, it is revealed that the modal data provides useful information for the determination of structural defects such as cracks.
Moreover, it is revealed that the modal data provides useful information for the determination of structural defects such as cracks.
Online since: May 2012
Authors: Wen Hao Wu, Zhi Yun Shi, Jing Wang, Hai Ping Chen, Zhong Ping Wang
Equation becomes: (6) The rise of system efficiency is given as: (7) Analysis of energy consumption on carbon capture system in different conditions Basis data of calculation Data of coal quality and steam turbine thermal performance is shown in Tab.2 and Tab.3 Tab.2 The elemental analysis of coal composition Coal as received basis Car Har Oar Nar Sar ash Aar Moisture Mar Proportion(%) 56.97 3.5 9.18 0.94 0.7 11.65 17.06 Tab.3 Steam turbine thermal performance parameter at three working conditions Parameter Conditions THA 75%THA 50%THA Main steam flowD0 1803.938 t/h 1345.527 kJ/kg 938.62 kJ/kg Water enthalpyhgs 1202.3 kJ/kg 1120.0 kJ/kg 1034.5 kJ/kg Main steam enthalpyh0 3396.9kJ/kg 3396.9 kJ/kg 3459.8 kJ/kg Exhaust enthalpy hc 2341.9 kJ/kg 2384.3 kJ/kg 2446.0 kJ/kg Reheat heat absorption σ 521.3 kJ/kg 545.8 kJ/kg 457.6 kJ/kg Condensate enthalpy hn 136.3
At the condition of THA, CO2 flow rate of flue gas after desulfurization is 9127.320kmol/h, which is about 401.6t/h, known from simulation, when the system absorb 1 ton CO2,the lowest energy consumption is 3.55GJ[6-8]. latent heat of vaporization of outlet micro-superheated steam(0.4MPa, 144℃[9]) in solar collector is 2132.53kJ/kg.Outlet water parameter of condensate pump is 1.724MPa, 32.54℃.Under these conditions, Tab.4 is shown the energy consumption characteristics analysis data for the 600MW unit with CO2 capture and steam quantity which solvent regeneration needed(inlet water flow of solar collecting system) at the condition of THA, and the change of unit work in carbon capture system and cycle efficiency is also shown in the table.
21.77 6.22 0.51 24.49 7.00 0.57 Case 3 15.63 5.91 0.48 18.75 7.09 0.58 21.88 8.27 0.67 25.00 9.45 0.77 28.13 10.64 0.86 Case 4 10.98 1.26 0.10 13.17 1.51 0.12 15.37 1.77 0.14 17.57 2.02 0.16 19.76 2.27 0.19 Tab.5 The energy consumption characteristics analysis data for the 600MW unit with CO2 capture at 75%THA working condition δ 5% 15% 20% 30% 40% Dco2(t) 15.26 45.78 61.04 91.57 122.09 Dwater(t) 25.40 76.21 101.62 152.43 203.24 ΔH1 0.99 2.97 3.96 5.94 7.92 ΔH2 ΔH δηi ΔH2 ΔH δηi ΔH2 ΔH δηi ΔH2 ΔH δηi ΔH2 ΔH δηi Case 1 1.54 0.55 0.04 4.61 1.64 0.13 6.15 2.19 0.18 9.22 3.28 0.26 12.30 4.38 0.35 Case 2 1.42 0.43 0.03 4.27 1.30 0.10 5.69 1.73 0.14 8.54 2.60 0.21 11.39 3.46 0.28 Case 3 1.67 0.68 0.05 5.01 2.04 0.16 6.69 2.72 0.22 10.03 4.09 0.33 13.37 5.45 0.44 Case 4 1.11 0.12 0.01 3.33 0.36 0.03 4.44 0.48 0.04 6.66 0.72 0.06 8.88 0.96 0.08 δ 50% 60% 70% 80% 90% Dco2(t) 152.61 183.13 213.65 244.18 274.70 Dwater(
Tab.5 is shown the energy consumption characteristics analysis data for the 600MW unit with CO2 capture and steam quantity which solvent regeneration needed (inlet water flow of solar collecting system) at the condition of 75%THA, and the change of unit work in carbon capture system and cycle efficiency is also shown in the table.
Therefore, developing lower cost and higher efficiency solar collector system is a useful way to reduce cost of CO2 reduction consumption.
Online since: March 2015
Authors: Jing Hui Song, Shu Mei Wu, Yan Fen Liao, Xiao Qian Ma, Yan Lin
Economic Analysis of Wet Flue Gas Desulfurization System with the Application of Low Pressure Economizer for Waste Heat Recovery Jinghui Song1,a, Yan Lin2,b, Yanfen Liao2,c,*, Xiaoqian Ma2,d, Shumei Wu2,e 1Electric Power Research Institute of Guangdong Power Grid Corporation, Guangzhou 510080, Guangdong Province, China 2Key Laboratory of Efficient and Clean Energy Utilization of Guangdong Higher Education Institutes, South China University of Technology, Guangzhou 510640, China asongjinghui2006@163.com, b277089919@qq.com, cyfliao@scut.edu.cn, depxqma@scut.edu.cn, e1035905757@qq.com Keywords: Waste Heat Recovery; Wet Flue Gas Desulfurization; Water Consumption Reduction.
The data of wet flue gas desulfurization (WFGD) power and water consumption, from two different coal-fired power plants (100 MW and 1000 MW) under full load operation, are studied for the WFGD economic analysis of waste-heat-recovery transformation with the installation of low pressure economizer (LPE).
These analyses are mainly performed for that and offering more data to be referred to the extension of the LPE system in China.
According to formula (5), waste heat recovery and reduction of coal consumption are the reasons why fan power consumption can be decreased, if temperature of exhaust flue gas is the only parameter to be considered.
Online since: June 2013
Authors: Ling Yun Yan, Peng Fei Wu, Zeng Xian Bao
Input half electromagnet model into Maxwell2D, the results relative to air-gap of armature and change of ampere-turns through static calculation can be obtained; establish data document in the form of AMESim with data of electromagnetic force and inductance relative to air-gap and ampere-turns; and thus complete the data preparation in AMESim simulation of electromagnet.
The 3D curve of data document is as shown in Figure 2 and Figure 3.
Fig.2: Relationship between Electromagnetic Force and Ampere-turns & Air-gap Fig.3: Relationship between Inductance and Ampere-turns & Air-gap Obtain data table of relationship between electromagnetic output force/inductance and ampere-turns & air-gap through Ansoft parametric analysis; import relative data into the solenoid simulation model by adopting the EMLT40 sub-model in AMESim electromagnetic module; establish complete solenoid simulation model, and realize coupling among electromagnetic circuit, mechanical part and hydraulic system, with the model shown in Figure 4. 1: PWM modulation signal; 2: voltage source; 3: electromagnet; 4: medium parameter definition unit; 5: pressure source; 6: valve body; 7: flow sensor; 8: pressure sensor Fig.4: Coupling Simulation Model Analysis of Simulation Structure.
Figure 8 indicates that the reduction of opening and closing time of on-off valve can effectively increase the linear control zone and the largest response frequency, and thus improve the control features of pulse-width adjustment.
Reduction of the opening time and closing time can effectively enlarge the linear control zone of the valve, increase the response frequency, and improve the control performance of pulse-width adjustment.
Online since: June 2013
Authors: Ai Ping Cai
In this paper, we propose a new detection algorithm based on FSVM, the main idea is to train classified sample and give all training data a degree of membership, increase punishment to the wrong sub-sample.
Its main idea is to give all data a membership value, increase the punishment to wrong points of samples in the training sample process, so as to get the best training sample.
The training process is to improve the performance of the classification model by providing different training data.
(a) Training images (b) Positive samples Figure 2 The image of the training data and the positive samples We need to test the selected parameter after the classification model was build.
Improved algorithm reduced the false detection rate of the image edge effectively, and has good performance of noise reduction.
Online since: January 2007
Authors: Francis Hanejko, Arthur Rawlings, Patrick King, George Poszmik
Data will be presented that document P/M part performance in comparison to conventional wrought steel grades.
Figure 1 illustrates the reduction in PFD with additions of graphite and powder lubricant; for premixes containing both graphite and lubricant the reduction in PFD is the summation of the individual effect of lubricant and graphite.
This data presents a comparison of rolling contact fatigue life of high core density FLN2-4405 (0.30% sintered carbon) along with FLN2-4405 (at 0.50% core carbon) and two wrought steel materials.
The data presented lists the material, type of carburizing employed, B50 life during rolling contact fatigue testing at two Hertzian stress levels, and a measure of the scatter defined as the ratio of B10 life to B90 (statistical determined as cycles to 10% failure and cycles to 90% failure).
Table 2 Rolling Contact Fatigue Data of High Density P/M Materials Material Processing Condition Hertz Contact Stress, MPa B50 Life, 106 cycles Scatter, Ratio B10 / B90 1900 16.7 1.8 AISI 5120 Vacuum Carburized.
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