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Online since: July 2014
Authors: M. Shanmugaraj, J. Vishal, G. Rahul
The Specific power output increases as the thermal efficiency of the engine increases due to the above stated factors.
Table 1: Properties of Zeolite molecular Sieve 13X PARAMETERS UNIT TARGET Shape Pellet Sphere Diameter [mm] 1.5 3.3 4 3 CO2 adsorption [NL/g] >15 >14 >14 >15 N2 adsorption % 89 91 93 94 Initially the air is supplied at 2-3 bar pressure using a 2HP air compressor.
Practical design of PSA oxygen plants depends on many factors, including bed length, diameter, zeolite bed packing, and rate of air flow.
SFC is affected by oxygen enrichment due to the change in the equivalence ratio as oxygen concentration in the intake air changes.
Manifold pressure increase is one of the factors that improve the mean effective pressure [3].
Table 1: Properties of Zeolite molecular Sieve 13X PARAMETERS UNIT TARGET Shape Pellet Sphere Diameter [mm] 1.5 3.3 4 3 CO2 adsorption [NL/g] >15 >14 >14 >15 N2 adsorption % 89 91 93 94 Initially the air is supplied at 2-3 bar pressure using a 2HP air compressor.
Practical design of PSA oxygen plants depends on many factors, including bed length, diameter, zeolite bed packing, and rate of air flow.
SFC is affected by oxygen enrichment due to the change in the equivalence ratio as oxygen concentration in the intake air changes.
Manifold pressure increase is one of the factors that improve the mean effective pressure [3].
Online since: July 2013
Authors: Redouane Zitoune, Madjid Haddad, Bruno Castanié, Florent Eyma
The mechanical properties of prepregs are presented in Table 1.
An explanation on this mechanical properties decrease can be related to the machining temperatures.
The surface roughness does not affect the mechanical behaviour.
Chambers (2006), ‘Understanding the factors affecting the compressive testing of unidirectional carbon fibre composites’.
Machaly. (2004), ‘Factors affecting the machinability of GFR/epoxy composites’.
An explanation on this mechanical properties decrease can be related to the machining temperatures.
The surface roughness does not affect the mechanical behaviour.
Chambers (2006), ‘Understanding the factors affecting the compressive testing of unidirectional carbon fibre composites’.
Machaly. (2004), ‘Factors affecting the machinability of GFR/epoxy composites’.
Online since: May 2011
Authors: Guo Wen Yao, Mao Sheng Li, Shi Ya Li
The mechanical analysis is in good agreement with the three-point bending experiments performed on CFRP strengthened RC beams.
Some factors affect the load-carrying capacities and failure modes of FRP laminate strengthened structures, including mechanical properties of materials, geometry of structures and type of loading [5].
Mechanical Analysis on Load-carrying Capacity Fig. 1 shows the CFRP strengthened RC beam under three-point bending.
The thickness of externally bonded FRP greatly affects the load-carrying capacity and failure modes of strengthened RC beams under bending load.
And the mechanical analysis is in good agreement with three point bending experiments performed on CFRP strengthened RC beams.
Some factors affect the load-carrying capacities and failure modes of FRP laminate strengthened structures, including mechanical properties of materials, geometry of structures and type of loading [5].
Mechanical Analysis on Load-carrying Capacity Fig. 1 shows the CFRP strengthened RC beam under three-point bending.
The thickness of externally bonded FRP greatly affects the load-carrying capacity and failure modes of strengthened RC beams under bending load.
And the mechanical analysis is in good agreement with three point bending experiments performed on CFRP strengthened RC beams.
Online since: July 2017
Authors: Daisy Nestler, Lothar Kroll, Frank Helbig, Constanze Böhme, Jürgen Tröltzsch, Katja Hase, Isabelle Roth-Panke
Exceeding the optimum amount of adhesion promoter in the solution led to a decrease in the mechanical properties of the composite.
It ensures good sliding properties of the fibre bundles due to polymer film builders.
Limiting factor of the used silane was the poor water solubility.
The mechanical properties decrease at a concentration of 9.5 %.
By means of silane-based adhesion promoter the mechanical properties of composite panels can be increased.
It ensures good sliding properties of the fibre bundles due to polymer film builders.
Limiting factor of the used silane was the poor water solubility.
The mechanical properties decrease at a concentration of 9.5 %.
By means of silane-based adhesion promoter the mechanical properties of composite panels can be increased.
Online since: November 2011
Authors: You Li Ma
In linear fracture mechanics, stress intensity factors used to evaluate the crack deformation behavior are calculated by stress distribution around the cracks [3].
The material used here was medium carbon steel S45C (be equal to No.45 steel in China).The chemical composition and mechanical properties are shown in table 1 and table 2 individually.
Table 1 Chemical composition mass% Table 2 Mechanical properties Fig. 1 Specimen with jig to manufacture slant pre-crack Fig. 2 Dimension of specimen with slant angle Residual Stress Measurements.
First, mode Ⅰstress intensity factors, (KⅠ)mes measured from fatigue pre-crack are smaller than KⅠbecause the compressive residual stress exists around it.
Mode Ⅱstress intensity factor (KⅡ)mes was also affected because of the zigzag pattern of the crack surface for the fatigue pre-crack.
The material used here was medium carbon steel S45C (be equal to No.45 steel in China).The chemical composition and mechanical properties are shown in table 1 and table 2 individually.
Table 1 Chemical composition mass% Table 2 Mechanical properties Fig. 1 Specimen with jig to manufacture slant pre-crack Fig. 2 Dimension of specimen with slant angle Residual Stress Measurements.
First, mode Ⅰstress intensity factors, (KⅠ)mes measured from fatigue pre-crack are smaller than KⅠbecause the compressive residual stress exists around it.
Mode Ⅱstress intensity factor (KⅡ)mes was also affected because of the zigzag pattern of the crack surface for the fatigue pre-crack.
Online since: August 2013
Authors: Jian Wen Han, Lei Hong
Research on the Optimal Design of Soccer Robot based on the Mechanical Analysis
Jian wen Han, Hong Lei
Qiongzhou College, Sanya 572022, Hainan, china
email: Hjwlh@qq.com
Keywords: Differential evolution algorithm-DE;K-means cluster algorithm;Cluster analysis
Abstract.
But the traditional K-means clustering algorithm in the cluster center initialization [4-5], but randomly assigned initial point, usually only find a local optimal clustering results, it is less stable, thus affecting the classification accuracy.
CR directly affects the size of individual variation on the role of the pilot study individual.
Scaling factor F according to equation (4) the value of dynamic decreasing strategy
Table 1 Data set The number of data samples The number of sample properties The number of categories IRIS data set Glass data set Vowel data set 150 214 990 4 9 10 3 6 11 In the K-means clustering algorithm based on differential evolution experiments, the population size N is set to the number of individuals in the population dimension d 10 times; scaling factor of F = 0.6, crossover probability CR = 0.5, where the interval of the initial population[0, 8], the maximum number of iterations t = 200.
But the traditional K-means clustering algorithm in the cluster center initialization [4-5], but randomly assigned initial point, usually only find a local optimal clustering results, it is less stable, thus affecting the classification accuracy.
CR directly affects the size of individual variation on the role of the pilot study individual.
Scaling factor F according to equation (4) the value of dynamic decreasing strategy
Table 1 Data set The number of data samples The number of sample properties The number of categories IRIS data set Glass data set Vowel data set 150 214 990 4 9 10 3 6 11 In the K-means clustering algorithm based on differential evolution experiments, the population size N is set to the number of individuals in the population dimension d 10 times; scaling factor of F = 0.6, crossover probability CR = 0.5, where the interval of the initial population[0, 8], the maximum number of iterations t = 200.
Online since: January 2013
Authors: Jie Lun Chiang, Shih Hao Jien
After full development of this technology, remote sensing will be applied to detect soil water content or even water-induced landslides
Introduction
Soil water content (SWC) is one of the major properties of soil and is an essential soil property in both agricultural and environmental fields.
SWC affects the accuracy of measuring other soil properties (such as C, N and other nutrients) using spectra-related techniques [1].
The basic properties (including soil texture, soil particle density, pH, soil electrical conductivity and mechanical analysis) of these 2 types of soil are shown in Table 1.The SWC estimated in this study is gravimetric water content, which can be measured with Eq. (1).
The basic properties of RS and YAS Red soil Younger alluvial soil Soil texture Clay loam Loam sand Soil particle density (g/cm3) 2.48 2.69 pH 5 7.6 Soil electrical conductivity EC(mS/cm) 0.210 1.8 Mechanical analysis Sand % 29.8 88.1 Slit % 36.5 10.2 Clay % 33.7 1.7 Spectrometer and measurement.
Conclusions Because of the variability in color, texture, and origin of the soil samples in the field, the factors affecting the reflectance of the soil samples are complex, causing difficulties to estimate SWC precisely by using a spectrometer.
SWC affects the accuracy of measuring other soil properties (such as C, N and other nutrients) using spectra-related techniques [1].
The basic properties (including soil texture, soil particle density, pH, soil electrical conductivity and mechanical analysis) of these 2 types of soil are shown in Table 1.The SWC estimated in this study is gravimetric water content, which can be measured with Eq. (1).
The basic properties of RS and YAS Red soil Younger alluvial soil Soil texture Clay loam Loam sand Soil particle density (g/cm3) 2.48 2.69 pH 5 7.6 Soil electrical conductivity EC(mS/cm) 0.210 1.8 Mechanical analysis Sand % 29.8 88.1 Slit % 36.5 10.2 Clay % 33.7 1.7 Spectrometer and measurement.
Conclusions Because of the variability in color, texture, and origin of the soil samples in the field, the factors affecting the reflectance of the soil samples are complex, causing difficulties to estimate SWC precisely by using a spectrometer.
Online since: November 2010
Authors: Yun Cheul Choi, Hyun Ki Choi, Chang Sik Choi
GFRP bars possess mechanical properties different
from steel bars, including high tensile strength combined with low elastic modulus and elastic
brittle stress-strain relationship.
Therefore, design procedures should account for these properties.
Properties of Specimen Specimen Index fck [MPa] Beam (L) [m] Section (BxD) [mm] Ls [mm] db [mm] Ls/db ρf [%] ρbal [%] No.
Based on previous study, this study shows distribution of flexural strength affected by length of splice.
After crack, behavior was represented the linear property.
Therefore, design procedures should account for these properties.
Properties of Specimen Specimen Index fck [MPa] Beam (L) [m] Section (BxD) [mm] Ls [mm] db [mm] Ls/db ρf [%] ρbal [%] No.
Based on previous study, this study shows distribution of flexural strength affected by length of splice.
After crack, behavior was represented the linear property.
Online since: November 2022
Authors: Putu Hadi Setyarini, Wahyono Suprapto, Zuliantoni Zuliantoni, Femiana Gapsari, Sudjito Sudjito, Yudy Surya Irawan
Composition and microstructure are the main factors affecting the corrosion resistance of metallic materials.
These brittle intermetallic compounds reduce the mechanical properties of the joint [16].
Aluminum-Zinc phase diagram [15] Three important factors affect corrosion resistance: the quenching rate determines the dendritic arrangement, the redistribution of solutes in the solute/solvent pair of each alloy, and the electrochemical properties. of the anode or cathode.
Yang, “Microstructure, mechanical properties and corrosion properties of Mg-Zn-Y alloys with low Zn content,” Mater.
Feng, “Effects of Zn on microstructure, mechanical properties and corrosion behavior of Mg-Zn alloys,” Mater.
These brittle intermetallic compounds reduce the mechanical properties of the joint [16].
Aluminum-Zinc phase diagram [15] Three important factors affect corrosion resistance: the quenching rate determines the dendritic arrangement, the redistribution of solutes in the solute/solvent pair of each alloy, and the electrochemical properties. of the anode or cathode.
Yang, “Microstructure, mechanical properties and corrosion properties of Mg-Zn-Y alloys with low Zn content,” Mater.
Feng, “Effects of Zn on microstructure, mechanical properties and corrosion behavior of Mg-Zn alloys,” Mater.
Online since: June 2013
Authors: Si Tae Won, Young Moo Heo, Jong Deok Kim, Ho Keun Kang
An Experimental Study on the Clearance Design of Fine Blanking Tool for High-strength Steel Special Parts with Various Inner Corner Shapes
Jong-Deok Kim1, a, Young-Moo Heo1, b, Ho-Keun Kang1, c, Si-Tae Won2, d
1Molds and Dies Technology Research and Development Group, Korea Institute of Industrial Technology, 7-47, Songdo-Dong, Yeonsoo-Gu, Incheon, Republic of Korea
2Department of Mechanical System Design Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 139-743, Republic of Korea
ajdk@kitech.re.kr, bymheo@kitech.re.kr, cyui7227@kitech.re.kr, dstwon370@seoultech.ac.kr
Keywords: fine blanking tool, clearance, bulging, SPFH590
Abstract The clearance between the punch and die of a fine blanking tool is an important design factor that affects the sheared surface of a product.
The clearance between punch and die in a fine blanking tool is a very important design factor that influences the condition of a sheared surface.
The material used in this study was high-strength steel (JIS, SPFH590) and its structural image and mechanical properties were shown in Fig. 1 and Table 1, respectively.
Fig. 1 Structure of SPFH590 (ⅹ500) Table 1 Mechanical properties of SPFH590 Yield Strength [MPa] Tensile Strength [MPa] Elongation [%] 515.5 616.5 23.5 Fig. 2 shows the special part designed for fine blanking experiments.
Singer, in: Cold forming and Fineblanking - A handbook on cold processing, material properties, component design, EdelstahlwerkeBuderus AG, Feintool AG Lyss, HoeschHohenlimburg GmbH, KaltwaltzwerkBrockhaus GmbH (1997)
The clearance between punch and die in a fine blanking tool is a very important design factor that influences the condition of a sheared surface.
The material used in this study was high-strength steel (JIS, SPFH590) and its structural image and mechanical properties were shown in Fig. 1 and Table 1, respectively.
Fig. 1 Structure of SPFH590 (ⅹ500) Table 1 Mechanical properties of SPFH590 Yield Strength [MPa] Tensile Strength [MPa] Elongation [%] 515.5 616.5 23.5 Fig. 2 shows the special part designed for fine blanking experiments.
Singer, in: Cold forming and Fineblanking - A handbook on cold processing, material properties, component design, EdelstahlwerkeBuderus AG, Feintool AG Lyss, HoeschHohenlimburg GmbH, KaltwaltzwerkBrockhaus GmbH (1997)