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Online since: July 2018
Authors: Teng Xu, Livan Fratini, Qin Xiang Xia, Hu Bo, Hong Chen Zhang
Surface quality of the upper strip directly affects the attractive appearance of the whole door.
Any minor defects of the exterior surface will result in the diffuse reflection of the light, thus affecting the appearance of the door[2].
Table 2 shows the mechanical properties of SP121BQ.
(2) where, W and K refer to the depth and factor of the punching wearing.
[8] Gang L, Lin J F, Gang W, et al, Influence of tube properties on quality of hydropiercing, Transactions of Nonferrous Metals Society of China, 21(2011), 456-460
Any minor defects of the exterior surface will result in the diffuse reflection of the light, thus affecting the appearance of the door[2].
Table 2 shows the mechanical properties of SP121BQ.
(2) where, W and K refer to the depth and factor of the punching wearing.
[8] Gang L, Lin J F, Gang W, et al, Influence of tube properties on quality of hydropiercing, Transactions of Nonferrous Metals Society of China, 21(2011), 456-460
Online since: September 2013
Authors: Vlad Andrei Ciubotariu
The design of the front rail must take into consideration a number of characteristics such as: the general shape of the column (prismatic, circular, ellipsoid), the definition of the geometry (shape and dimensions of the cross section), properties and thickness of the material [2].
This desiderate created many problems linked to the implementation of new materials of which properties are still not completely known, conventional technologies sometimes failed and nowadays the environmental problems can be put into discussion.
However, any of the welding techniques cannot be conducted without heat input which determines a heat-affected zone and welding distortion.
In order to obtain the mechanical characteristics of the adhesive solution, a couple of preliminary tests were performed.
Mechanical properties of the materials Property SI Value M1 M2 TWB Yield strength MPa 177.77 230.43 245.57 Tensile strength MPa 410.95 418.48 432.88 Elastic modulus GPa 185.3 205.2 214.6 Strain hardening index - 0.231 0.161 0.157 Resistance coefficient - 518.05 528.19 541.86 Fig.1 Forming limit curve for the parent materials and TWB Fig.2 Shear and peel strength of the adhesive solution Nominal shear strength was found to be 30-35 MPa, whereas tensile peel strength is 17-20 MPa.
This desiderate created many problems linked to the implementation of new materials of which properties are still not completely known, conventional technologies sometimes failed and nowadays the environmental problems can be put into discussion.
However, any of the welding techniques cannot be conducted without heat input which determines a heat-affected zone and welding distortion.
In order to obtain the mechanical characteristics of the adhesive solution, a couple of preliminary tests were performed.
Mechanical properties of the materials Property SI Value M1 M2 TWB Yield strength MPa 177.77 230.43 245.57 Tensile strength MPa 410.95 418.48 432.88 Elastic modulus GPa 185.3 205.2 214.6 Strain hardening index - 0.231 0.161 0.157 Resistance coefficient - 518.05 528.19 541.86 Fig.1 Forming limit curve for the parent materials and TWB Fig.2 Shear and peel strength of the adhesive solution Nominal shear strength was found to be 30-35 MPa, whereas tensile peel strength is 17-20 MPa.
Online since: March 2019
Authors: Felicia Dragolici, Laura Ionascu, Mihaela Nicu
Membrane process used for liquid radioactive waste treatment offer a series of advantages with high decontamination factors, large volume reduction and low energy consumption [6-7].
Because the mechanical and chemical properties of the cement–waste matrix are highly dependent on the chemical properties and the concentration of the waste, the recipe used in the solidification process is optimized for each composition of waste through a number of experiments [11].
In addition, the cure of cement paste can be affected adversely by certain salts from the concentrate, making it necessary to prepare trial formulations to ensure that the waste form will develop the required properties.
In a previous paper were prepared samples based on Portland cement with concentrate with different pH values and they were mechanically tested for compression in order to obtain optimal value of pH that does not influence negatively mechanical properties of the cement matrix [12].
Because the mechanical and chemical properties of the cement–waste matrix are highly dependent on the chemical properties and the concentration of the waste, the recipe used in the solidification process is optimized for each composition of waste through a number of experiments [11].
In addition, the cure of cement paste can be affected adversely by certain salts from the concentrate, making it necessary to prepare trial formulations to ensure that the waste form will develop the required properties.
In a previous paper were prepared samples based on Portland cement with concentrate with different pH values and they were mechanically tested for compression in order to obtain optimal value of pH that does not influence negatively mechanical properties of the cement matrix [12].
Online since: November 2012
Authors: Keiji Ogawa, Toshiki Hirogaki, Heisaburo Nakagawa, Eiichhi Aoyama
This is because CFRP has superior properties such as light, higher specific mechanical strengths, etc.
This GFRP plate is generally used for PWBs worldwide because it has higher cost performance, superior insulating properties, and mechanical strength.
Table 1 shows the properties of the carbon and glass fibers utilized in the plates.
Although the machining temperature is an important factor that affects machining quality, it is difficult to measure drill temperature during drilling.
Yao, A Novel Approach to Evaluate the Delamination Factor of CFRP Hole, Procs. of LEM21 (2011) 1-5
This GFRP plate is generally used for PWBs worldwide because it has higher cost performance, superior insulating properties, and mechanical strength.
Table 1 shows the properties of the carbon and glass fibers utilized in the plates.
Although the machining temperature is an important factor that affects machining quality, it is difficult to measure drill temperature during drilling.
Yao, A Novel Approach to Evaluate the Delamination Factor of CFRP Hole, Procs. of LEM21 (2011) 1-5
Online since: October 2013
Authors: Kil To Chong, Dong Pyo Hong, Deok Jin Lee
Target Tracking in Sensor Networks Using
Additive Divided Difference Information Filtering Method
Deok Jin Lee1,§ , Kil To Chong2 and Dong Pyo Hong3
1School of Mechanical & Automotive Engineering, Kunsan National University, Gunsan, Jeonbuk, 573-701, South Korea
2School of Electronics Engineering, Chonbuk National University, Jeonju, Jeonbuk, 561-756, South Korea
3Dept. of Mechanical Systems Engineering, Chonbuk National University, Jeonju, Jeonbuk, 561-756, South Korea
§ deokjlee@kunsan.ac.kr
Keywords: distributed sensor networks, multiple sensor fusion, target tracking, divided difference information filter, nonlinear estimation.
However, some of the drawbacks, inherited from the EKF due to unmodeled or unknown uncertainties, can affect the EIF in terms of the estimation accuracy and robustness in nonlinear systems.
Then, a set of weighted scaled symmetric sigma point vectors is constructed by (3) where is the dimension of the augmented state vector, is the ith sigma point column vector of the compound square-root matrix and is a scaling weight factor for the divided difference step size or interval length [11].
Each component matrix is given by (9) where the weight factors for the covariance matrix are given by (10) For the measurement update, the augmented state vector and the augmented square-root matrix are reconstructed by (11) where is given in Eq. (8) and is obtained from the Cholesky factorization of the measurement noise covariance matrix, .
The simulation results show that the proposed additive divided information filter provides not only accurate estimation and fast convergence properties, but also makes its implementation efficient for multi-sensor estimation in distributed sensor observation and networks.
However, some of the drawbacks, inherited from the EKF due to unmodeled or unknown uncertainties, can affect the EIF in terms of the estimation accuracy and robustness in nonlinear systems.
Then, a set of weighted scaled symmetric sigma point vectors is constructed by (3) where is the dimension of the augmented state vector, is the ith sigma point column vector of the compound square-root matrix and is a scaling weight factor for the divided difference step size or interval length [11].
Each component matrix is given by (9) where the weight factors for the covariance matrix are given by (10) For the measurement update, the augmented state vector and the augmented square-root matrix are reconstructed by (11) where is given in Eq. (8) and is obtained from the Cholesky factorization of the measurement noise covariance matrix, .
The simulation results show that the proposed additive divided information filter provides not only accurate estimation and fast convergence properties, but also makes its implementation efficient for multi-sensor estimation in distributed sensor observation and networks.
Online since: April 2020
Authors: Masni Agustina Lumbantoruan, Edi Suharyadi
The well-known category of spinel ferrites CoFe2O4 has gained more interest of researchers due to their many valuable properties like high chemical stability, remarkable mechanical hardness, moderate saturation magnetization, and high coercivity.
Dielectric properties.
Dielectric properties depend on some key factors such as doping concentration, a different type of annealing with variant time, preparation technique, structural homogeneity, grain size, porosity and density [21].
Caltun, Magnetic and dielectric properties of Co-Zn ferrite, Mater.
Ishfaq, SEM, FTIR and dielectric properties of cobalt substituted spinel ferrites, J.
Dielectric properties.
Dielectric properties depend on some key factors such as doping concentration, a different type of annealing with variant time, preparation technique, structural homogeneity, grain size, porosity and density [21].
Caltun, Magnetic and dielectric properties of Co-Zn ferrite, Mater.
Ishfaq, SEM, FTIR and dielectric properties of cobalt substituted spinel ferrites, J.
Online since: December 2012
Authors: Ali Mubarak, C. Joshi Sunil
Joshi2,b
1N3.2-B3M-12, 50, Nanyang Avenue, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore – 639798.
2N3.1-B2c-03, 50, Nanyang Avenue, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore – 639798
amuba0001@e.ntu.edu.sg, bmscjoshi@ntu.edu.sg
Keywords: Impact damage, Energy characteristics, Core shell microparticles, Interface modification
Abstract.
The attractive factors for the extensive use of the composite materials are that the composites exhibit high strength, low density, and excellent corrosion and fatigue resistance than its competing metallic materials such as aluminium, steel etc.
Impact damage of composite laminates are affected by variety of different factors such as ply layup, total number of plies, fibre and matrix properties, impactor geometry, impact velocity and impact energy [3].
The attractive factors for the extensive use of the composite materials are that the composites exhibit high strength, low density, and excellent corrosion and fatigue resistance than its competing metallic materials such as aluminium, steel etc.
Impact damage of composite laminates are affected by variety of different factors such as ply layup, total number of plies, fibre and matrix properties, impactor geometry, impact velocity and impact energy [3].
Online since: May 2014
Authors: Antônio Gilson Barbosa de Lima, Jeferson Avila Souza, Sandro Campos Amico, Iran Rodrigues
Resin Transfer Molding Process: A Numerical Analysis
Iran Rodrigues de Oliveira1a, Sandro Campos Amico2b,
Jeferson Ávila Souza3c, Antonio Gilson Barbosa de Lima1b
1Department of Mechanical Engineering, Federal University of Campina Grande (UFCG), Zip Code 58429-900, Campina Grande-PB, Brazil.
2Department of Materials Engineering, Federal University of Rio Grande do Sul (UFRGS), Zip Code 91501-970, Porto Alegre-RS, Brazil.
3Department of Mechanical Engineering, Federal University of Rio Grande (FURG), Zip Code 96201-900, Rio Grande-RS, Brazil.
In the RTM process, there are some factors that should be known and controlled as the resin viscosity, injection pressure, content and arrangement of the fibers, porosity, process temperature and permeability of the porous media.
The pressure is discontinuous along the inter-element boundaries except at the middle nodes, and filling factors are associated with the mesh elements [12].
It is observed that the addition of CaCO3 affects slightly the permeability and increases the viscosity.
It is realized that the higher the concentration of CaCO3 in the resin, modifies slightly the permeability due to the inherent characteristics of the experimental method used for estimation of this parameter (rectilinear flow) and so varying the properties of the fibrous reinforcement.
In the RTM process, there are some factors that should be known and controlled as the resin viscosity, injection pressure, content and arrangement of the fibers, porosity, process temperature and permeability of the porous media.
The pressure is discontinuous along the inter-element boundaries except at the middle nodes, and filling factors are associated with the mesh elements [12].
It is observed that the addition of CaCO3 affects slightly the permeability and increases the viscosity.
It is realized that the higher the concentration of CaCO3 in the resin, modifies slightly the permeability due to the inherent characteristics of the experimental method used for estimation of this parameter (rectilinear flow) and so varying the properties of the fibrous reinforcement.
Online since: February 2011
Authors: Ming Lv, Li Juan Liu, Wen Ge Wu
The HSM Intelligent Database System Based On Neural Networks
Lijuan Liu 1, 2, a, Ming Lv1, b Wenge Wu 2, c
1 College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi,
030024, China
2 College of Mechanical Engineering and Automatization, North University of China, Taiyuan, Shanxi, 030051, China
acy30mk@sina.com, b lvming@tyut.edu.cn, cwuwenge@nuc.edu.cn
Keywords: HSM; lNeural Network; Intelligent Database.
There are many factors that affect the choice.
To determine the best cutting parameters is a difficult thing because these factors are mutually restrictive [3].The right choice of cutting parameters is a very difficult assurance in the actual processing.
Generally, it should be determined by consulting cutting handbook, according to the processing properties, the processing request, the work piece’s material, the cutting tool's size and material performance, and other aspect, and it relays on the rich experience.
There are many factors that affect the choice.
To determine the best cutting parameters is a difficult thing because these factors are mutually restrictive [3].The right choice of cutting parameters is a very difficult assurance in the actual processing.
Generally, it should be determined by consulting cutting handbook, according to the processing properties, the processing request, the work piece’s material, the cutting tool's size and material performance, and other aspect, and it relays on the rich experience.
Online since: October 2014
Authors: Vasile Merticaru, Valerica Huşanu, Mihai Boca, Marius Andrei Mihalache, Gheorghe Nagîț, Marius Ionuţ Rȋpanu
The quality of bearing cages is influenced by a variety of technological factors which depend on the material they are manufactured of, on the hydraulic press and on the punching-stamping die.
On the other hand, roller bearings cages are usually made of materials with low hardness values and in such conditions, exploiting factors like external pressure and direct contact with other components can lead to damages like distortions or dents.
The proposed systemic approach of the stamping process shown in Fig. 2 will allow a easier identification of factors that may influence the quality and precision of stamped sheet metal cage windows, [5].
Results The results obtained by using the Cause & Effect matrix upon all the factors that are influencing the quality and precision characteristics as well as the analysis performed on the stamped sheet metal cages are shown in Table 1.
Processing properties 9 9 9 7 7 7 7 6 4 4 3 500 29.
On the other hand, roller bearings cages are usually made of materials with low hardness values and in such conditions, exploiting factors like external pressure and direct contact with other components can lead to damages like distortions or dents.
The proposed systemic approach of the stamping process shown in Fig. 2 will allow a easier identification of factors that may influence the quality and precision of stamped sheet metal cage windows, [5].
Results The results obtained by using the Cause & Effect matrix upon all the factors that are influencing the quality and precision characteristics as well as the analysis performed on the stamped sheet metal cages are shown in Table 1.
Processing properties 9 9 9 7 7 7 7 6 4 4 3 500 29.