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Online since: June 2014
Authors: Bin Hu, Xiao Ning Zhang
Industrial CT scan imaging process is very complex, many factors affect imaging quality and CT hardware platform itself is subject to great difference.
Yue-hua Duan[17] analyzed the influencing factors of Fourier series representing 2D profile accuracy of aggregates on this basis.
Industrial CT Technology-based Asphalt Mixture Virtual Mechanical Test Method Some scholars have carried out over a number of researches on the finite element virtual mechanical test of homogeneous asphalt mixtures, to find these virtual mechanical test methods subject to significant defects.
Mohammad, et al: Application of Mixture Theory in the Evaluation of Mechanical Properties of Asphalt Concrete.
Yu: Evaluating the Volumetric Properties of Asphalt Mixtures with Digital Image Processing Technique.
Yue-hua Duan[17] analyzed the influencing factors of Fourier series representing 2D profile accuracy of aggregates on this basis.
Industrial CT Technology-based Asphalt Mixture Virtual Mechanical Test Method Some scholars have carried out over a number of researches on the finite element virtual mechanical test of homogeneous asphalt mixtures, to find these virtual mechanical test methods subject to significant defects.
Mohammad, et al: Application of Mixture Theory in the Evaluation of Mechanical Properties of Asphalt Concrete.
Yu: Evaluating the Volumetric Properties of Asphalt Mixtures with Digital Image Processing Technique.
Online since: September 2013
Authors: Guang Jun Ma, Shuo Wu, Guang Qi Cai
In the battery manufacturing process, one of the most important aspects of affecting the consistency is preparation of negative electrode.
Analysis and control of the strip rolling process The rolling of the strip is a very complex process, which will be subject to the interference of a number of factors, input and uniformity of the liquid hydrogen storage materials, strip temperature, thickness disturbance, rigidity of the mill, mill speed and so affect the final thickness of strip, and some of these factors change over time.
We can use linear relationship to describe the characteristics of the rolling mill units Fr=M(Ha-S0) (1) M is a constant, material properties are Fr=F(M, σ, μ, R')+Fe (2) M is the average of compressive stress (N/m2), σ is the average of tensile stress(N/m2), μ is a friction coefficient of the roll and strip, R 'is the deformed roll radius (m) and Fe is the output elastic restoring force (N) For system simulation, we can simplify (2) to Fr=Vs(Ha-S0) (3) Vs is a function of V1 Vs=3V0 V1max(2V1max+V1) (4) Because (3) is quadratic, so the intersection of Ha approximate solution is possible.
Neural network model for nonlinear control systems Neural internal model control is a very important property: if the given object and the controller input - output is stable, and it has the object of a precise model, then the closed-loop system will also be input output stability.
Comparison of simulation results On the neural internal model control simulation, and compared with the conventional PI control for comparison see Table 1, the results of control internal model control, neural control has better properties than PI.
Analysis and control of the strip rolling process The rolling of the strip is a very complex process, which will be subject to the interference of a number of factors, input and uniformity of the liquid hydrogen storage materials, strip temperature, thickness disturbance, rigidity of the mill, mill speed and so affect the final thickness of strip, and some of these factors change over time.
We can use linear relationship to describe the characteristics of the rolling mill units Fr=M(Ha-S0) (1) M is a constant, material properties are Fr=F(M, σ, μ, R')+Fe (2) M is the average of compressive stress (N/m2), σ is the average of tensile stress(N/m2), μ is a friction coefficient of the roll and strip, R 'is the deformed roll radius (m) and Fe is the output elastic restoring force (N) For system simulation, we can simplify (2) to Fr=Vs(Ha-S0) (3) Vs is a function of V1 Vs=3V0 V1max(2V1max+V1) (4) Because (3) is quadratic, so the intersection of Ha approximate solution is possible.
Neural network model for nonlinear control systems Neural internal model control is a very important property: if the given object and the controller input - output is stable, and it has the object of a precise model, then the closed-loop system will also be input output stability.
Comparison of simulation results On the neural internal model control simulation, and compared with the conventional PI control for comparison see Table 1, the results of control internal model control, neural control has better properties than PI.
Online since: January 2012
Authors: Guo Hong Xia
Research in the Design of the Fuzzy Controller Intelligence of the Measuring and Controlling Apparatus on Water-content in Material Pulp
XIA Guo-hong
School of Mechanical and Electronic Engineering,
Huangshi Institute of Technology,
Huangshi, Hubei, China
e-mail: hslgxgh@126.com
Keywords: fuzzy control system; fuzzy reasoning decision-making; double-factor self-organized fuzzy control; fuzzy control algorithm
Abstract.
There are many elements which affect the water-content of material pulp, therefore it is very difficult to build precise mathematical module.
Ordinarily we use double-factor a1 and a2 to do the modification, hence to change the fuzzy control principle.
Figure 3 is the frame graph of the double-factor self-organized fuzzy control system.
Figure 3 The Frame Graph of the Double-factor Self-organized Fuzzy Control System D.
There are many elements which affect the water-content of material pulp, therefore it is very difficult to build precise mathematical module.
Ordinarily we use double-factor a1 and a2 to do the modification, hence to change the fuzzy control principle.
Figure 3 is the frame graph of the double-factor self-organized fuzzy control system.
Figure 3 The Frame Graph of the Double-factor Self-organized Fuzzy Control System D.
Online since: April 2021
Authors: Jun Hai Liu, Li Mei Wang, Jun Bo Liu
In order to improve the quality and properties of the coating, a certain amount of Ti was added to the plasma cladding Fe-Cr-C coating in the early stage.
Results show that there are many factors affecting plasma cladding, such as material properties, environmental conditions and so on.
These parameters will affect the heating state of the powder, and then affect the macro- and micro-structure morphology of the coating.
Table 1 Quality properties of raw material powder (mass fraction) Powder Ti Cr Al Mn Si C P Cu S Fe TiFe 47.0 - 1.72 1.9 0.2 0.2 0.096 0.1 0.02 Balance Cr - 98.7 0.25 - 0.25 - - - - Balance Fe Purity 99.0wt.%, Particle size <150μm The plasma cladding equipment adopts DRF-1 automatic plasma cladding machine, and the plasma cladding process parameters are shown in Table 2.
Plasma cladding power is a very important parameter in plasma cladding technology, and its change will directly affect the coating’s quality.
Results show that there are many factors affecting plasma cladding, such as material properties, environmental conditions and so on.
These parameters will affect the heating state of the powder, and then affect the macro- and micro-structure morphology of the coating.
Table 1 Quality properties of raw material powder (mass fraction) Powder Ti Cr Al Mn Si C P Cu S Fe TiFe 47.0 - 1.72 1.9 0.2 0.2 0.096 0.1 0.02 Balance Cr - 98.7 0.25 - 0.25 - - - - Balance Fe Purity 99.0wt.%, Particle size <150μm The plasma cladding equipment adopts DRF-1 automatic plasma cladding machine, and the plasma cladding process parameters are shown in Table 2.
Plasma cladding power is a very important parameter in plasma cladding technology, and its change will directly affect the coating’s quality.
Online since: September 2013
Authors: Wan Shan Wang, Tian Biao Yu, Xue Zhi Wang, Na Yuan, Xue Sun
For grinding, acting force and grinding heat are the principal factors affecting the machining accuracy.
So the entire grinding wheel material was simplified as titanium alloy, and its material properties are shown in Table 1.
The physical properties of 45#steel and CBN are shown in Table 1.
Material properties of titanium alloy are shown in Table 2.
Wang: Journal of Mechanical Engineering, Vol. 48(2012), p.183-188
So the entire grinding wheel material was simplified as titanium alloy, and its material properties are shown in Table 1.
The physical properties of 45#steel and CBN are shown in Table 1.
Material properties of titanium alloy are shown in Table 2.
Wang: Journal of Mechanical Engineering, Vol. 48(2012), p.183-188
Online since: May 2004
Authors: Aydin Dogan, Erman Uzgur, Z.O. Yazici
For this calculation poison's ratio, elastic modulus, and density are the essential
properties of the materials.
Physical properties of the materials used in cymbal transducer are listed in Table 2.
Physical properties of the materials used for the calculation.
Calculated mechanical quality factor; Q, of this structure was decreased in air conditions.
Effect of filler diameter on mechanical quality factor (calculated) Conclusions Transducer with low Q values is desired for underwater acoustic applications.
Physical properties of the materials used in cymbal transducer are listed in Table 2.
Physical properties of the materials used for the calculation.
Calculated mechanical quality factor; Q, of this structure was decreased in air conditions.
Effect of filler diameter on mechanical quality factor (calculated) Conclusions Transducer with low Q values is desired for underwater acoustic applications.
Online since: November 2011
Authors: Jia Kuan Xia, Ya Nan Jing, Yi Biao Sun
The direct-drive ring permanent magnet torque motor is easily affected by parameters changes and the load torque disturbances, which reduces the servo performance of the system.
Compared with the motor of the traditional drive way, the load is directly driven the direct-drive ring permanent magnet torque motor, which has removed the middle transmission link and eliminated the nonlinear factors of the mechanical transmission characteristics in order to obtain a high position precision and good dynamic performance [1].
In [4], the control of multi-objective genetic algorithms is proposed, because the motor is affected by the load disturbances and parameters changes.
Sliding mode variable structure control has invariance property so the best control effect can be obtained.
Super twisting algorithm phase plane Conclusion The performance of the direct-drive ring permanent magnet torque motor servo system is easily affected by parameters variable and the load disturbances and so on uncertainties factor, the traditional sliding mode control had improved the servo system robustness, but which easily brought chattering.
Compared with the motor of the traditional drive way, the load is directly driven the direct-drive ring permanent magnet torque motor, which has removed the middle transmission link and eliminated the nonlinear factors of the mechanical transmission characteristics in order to obtain a high position precision and good dynamic performance [1].
In [4], the control of multi-objective genetic algorithms is proposed, because the motor is affected by the load disturbances and parameters changes.
Sliding mode variable structure control has invariance property so the best control effect can be obtained.
Super twisting algorithm phase plane Conclusion The performance of the direct-drive ring permanent magnet torque motor servo system is easily affected by parameters variable and the load disturbances and so on uncertainties factor, the traditional sliding mode control had improved the servo system robustness, but which easily brought chattering.
Online since: August 2014
Authors: De Jun Xu, Xiao Yang Liu, Hong Jiang, Li Bo Wang
These significant features will be considerable factors in drug carrier design.
Many researches focused on PEG as a plasticizer to PLA to cause the property changes, such as mechanical properties, thermodynamics and polymer processing properties.
However, the PEG modified PLA for drug carrier design with the respect to the unique modification properties has not been well-reported [13-21].
Mechanical test were not done because the mechanic properties is not a main concern in drug carrier system in medicals. 2.
The crystallinity will seriously affect the degradation and therefore the drug release properties, which will be detailed later. 3.
Many researches focused on PEG as a plasticizer to PLA to cause the property changes, such as mechanical properties, thermodynamics and polymer processing properties.
However, the PEG modified PLA for drug carrier design with the respect to the unique modification properties has not been well-reported [13-21].
Mechanical test were not done because the mechanic properties is not a main concern in drug carrier system in medicals. 2.
The crystallinity will seriously affect the degradation and therefore the drug release properties, which will be detailed later. 3.
Online since: March 2014
Authors: Jie Guang Song, Hong Ying Ru, Shi Bin Li
It is a key to chose the interphase materials to improve the oxidation resistance and mechanical properties of SiC/SiC composites[6].
The sintered samples mechanical property was evaluated by three-point bending at room temperature.
The relationship between porosity and flextural strength was strongly affected by the structure factor of the materials and porosity[12], therefore it is need to modify the pore distribution and morphology.
The good bonding between YAG and SiC benifit to mechanical properties of bending strength.
Cellular ceramics: intriguing structures, novel properties, and innovative applications.
The sintered samples mechanical property was evaluated by three-point bending at room temperature.
The relationship between porosity and flextural strength was strongly affected by the structure factor of the materials and porosity[12], therefore it is need to modify the pore distribution and morphology.
The good bonding between YAG and SiC benifit to mechanical properties of bending strength.
Cellular ceramics: intriguing structures, novel properties, and innovative applications.
Online since: July 2021
Authors: Iman Jabber Al-Shaibani, Hiba Kareem Jabber
The trend of auto industries is to increase the use of light. weight materials instead of conventional steel, but aluminum is costly, and adding aluminum is less mechanical properties than steel.
The previous studies of aluminum and steel RSW focused on the mechanical properties and the weldability parameters.
Fig.8: Pullout failure mode of RSW joint, a: at 5 KA welding current, b: at 6 KA, c: at 7 KA, d: at 8 KA. 3.4 Improve the mechanical properties After identifying the best welding condition, the second stage of this research begins, which seeks to improve the mechanical properties obtained by using many method.
"Study the microstructure and mechanical properties of dissimilar friction stir spot welding of carbon steel 1006 to aluminum alloy aa2024-t3", International Journal of Engineering & Technology, vol.7.4 (2018), pp.3037-3042
"Microstructure and mechanical properties of resistance-spot-welded joints for A5052 aluminum alloy and DP 600 steel", Materials Characterization, vol. 120(2016), pp.45-52
The previous studies of aluminum and steel RSW focused on the mechanical properties and the weldability parameters.
Fig.8: Pullout failure mode of RSW joint, a: at 5 KA welding current, b: at 6 KA, c: at 7 KA, d: at 8 KA. 3.4 Improve the mechanical properties After identifying the best welding condition, the second stage of this research begins, which seeks to improve the mechanical properties obtained by using many method.
"Study the microstructure and mechanical properties of dissimilar friction stir spot welding of carbon steel 1006 to aluminum alloy aa2024-t3", International Journal of Engineering & Technology, vol.7.4 (2018), pp.3037-3042
"Microstructure and mechanical properties of resistance-spot-welded joints for A5052 aluminum alloy and DP 600 steel", Materials Characterization, vol. 120(2016), pp.45-52