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Online since: February 2026
Authors: Sumetha Chaisarn, Thiti Khattiwong, Viroon Kamchoom, Laemthong Laokhongthavorn
Factors such as ambient temperature, pH, nutrient availability, and moisture content critically influence the rate of bacterial growth, EPS production, and the structural stability of the biofilm [5].
To disentangle the effects of bacterial metabolism from the intrinsic chemical properties of the culture medium, an additional test series, referred to as Test C, was designed and implemented.
A series of controlled laboratory experiments was carried out to assess the influence of bacterial inoculation on the hydraulic properties of coarse-grained soils.
[4] Taylor SW, Milly PCD, Jaffé PR. (1990).Biofilm growth and the related changes in the physical properties of a porous medium: 2.
[11] Dashko R, Shidlovskaya A. (2016) Impact of microbial activity on soil properties.
To disentangle the effects of bacterial metabolism from the intrinsic chemical properties of the culture medium, an additional test series, referred to as Test C, was designed and implemented.
A series of controlled laboratory experiments was carried out to assess the influence of bacterial inoculation on the hydraulic properties of coarse-grained soils.
[4] Taylor SW, Milly PCD, Jaffé PR. (1990).Biofilm growth and the related changes in the physical properties of a porous medium: 2.
[11] Dashko R, Shidlovskaya A. (2016) Impact of microbial activity on soil properties.
Online since: August 2011
Authors: Shi Lun Zuo, Tai Fu Li, Jia Xu Wang
The State Key Laboratory of Mechanical Transmission, Chongqing University,
Chongqing 400050, China
2.Chongqing University of Science & Technology, Chonqing401331,CHN
a. zuoshilun@126.com, b.jxwang@cqu.edu.cn, c.litaifuemail@126.com
Keywords: soft-sensor, radial basis function ,artificial neural network, support vector regression, continuous casting process
Abstract.
The soft-sensor based on the SVR model possesses a number of attractive properties, such as a strong statistical basis, convergence to the unique global minimum and, an improved generalization performance by the approximated function.
Fig.1 Schematic representation of the continuous casting process The key of the continuous casting process is to control thickness of the slices, but factors affecting the thickness are very complex, these factors includes not only aspects of the geometric structure, but also aspects of the casting process.
(2) Whereis a kernel function, is the cale factor
Table 1 Trail process conditions The first experiment The second experiment Ambient temperature(ºC) 8±0.5 16±0.5 Water press(Mpa) 0.28±0.02 0.34±0.02 Water flow(L/min) 100±5 100±5 Temperature of molten lead(ºC) 360±5 365±5 Speed of the cylinder(r/min) 500~950 550~1100 Table 2 Statistic for the measured variables Measurement range Accuracy Sampling time(min) Ambient temperature(ºC) 0~100 ±0.5 30 Water press(Mpa) 0~0.6 ±0.02 5 Water flow(L/min) 0~200 ±5 5 Speed of the cylinder (r/min) 100~1500 ±1 5 Temperature of molten lead(ºC) 100~500 ±1 5 Through above analysis, although many parameters affect the slices thickness, but less process parameters can be controlled, and to achieve automatic control of process parameters are mainly casting speed.
The soft-sensor based on the SVR model possesses a number of attractive properties, such as a strong statistical basis, convergence to the unique global minimum and, an improved generalization performance by the approximated function.
Fig.1 Schematic representation of the continuous casting process The key of the continuous casting process is to control thickness of the slices, but factors affecting the thickness are very complex, these factors includes not only aspects of the geometric structure, but also aspects of the casting process.
(2) Whereis a kernel function, is the cale factor
Table 1 Trail process conditions The first experiment The second experiment Ambient temperature(ºC) 8±0.5 16±0.5 Water press(Mpa) 0.28±0.02 0.34±0.02 Water flow(L/min) 100±5 100±5 Temperature of molten lead(ºC) 360±5 365±5 Speed of the cylinder(r/min) 500~950 550~1100 Table 2 Statistic for the measured variables Measurement range Accuracy Sampling time(min) Ambient temperature(ºC) 0~100 ±0.5 30 Water press(Mpa) 0~0.6 ±0.02 5 Water flow(L/min) 0~200 ±5 5 Speed of the cylinder (r/min) 100~1500 ±1 5 Temperature of molten lead(ºC) 100~500 ±1 5 Through above analysis, although many parameters affect the slices thickness, but less process parameters can be controlled, and to achieve automatic control of process parameters are mainly casting speed.
Biomechanical Analysis of Starting Action on an Outstanding Short Track Speed Skating Female Athlete
Online since: October 2013
Authors: Chuan Bo Zhang
The purpose is, through analysis and comparisons of her joints speed and angle changes at start, finding out factors for improving personal achievements and help to improve and update techniques of our province short track speed skating athletes.
In short track speed skating actions, two main factors decide the starting speed.
The time used by each step the shorter, the stride frequency is smaller, and the large gap between tested athlete and our country and world excellent athletes will certainly affect starting speed.
Another factor affecting speed is step length which is mainly decided by athletes’ height and hip-joint flexibility, and larger step length will help the athletes to get larger forward acceleration.
Research and Analysis of individual skaters elbow, knee, and ankle extensor and flexor muscles mechanical properties [J].
In short track speed skating actions, two main factors decide the starting speed.
The time used by each step the shorter, the stride frequency is smaller, and the large gap between tested athlete and our country and world excellent athletes will certainly affect starting speed.
Another factor affecting speed is step length which is mainly decided by athletes’ height and hip-joint flexibility, and larger step length will help the athletes to get larger forward acceleration.
Research and Analysis of individual skaters elbow, knee, and ankle extensor and flexor muscles mechanical properties [J].
Online since: July 2015
Authors: J. Jayaprakash, K. Rajan, N. Manikanda Prabu, S. Nallusamy
Educational and Research Institute University, Chennai, 600095, Tamilnadu, India
2Department of Mechanical Engineering, Nehru Institute of Engineering and Technology,
Coimbatore, 642105, Tamilnadu, India
3, 4 Department of Mechanical Engineering, Dr.
In bionic technology, the linkage mechanism is important primarily in mechanical structure design.
Simple control options, convenience in carrying sensors and overall costs are the other primary factors.
We may consider the two important factors such that, they are in danger of a collision or have to face permanent problems like wheel-slip or abrasion.
This research study may be extended by considering more number of success factors that are affecting the design of robot and its implementations.
In bionic technology, the linkage mechanism is important primarily in mechanical structure design.
Simple control options, convenience in carrying sensors and overall costs are the other primary factors.
We may consider the two important factors such that, they are in danger of a collision or have to face permanent problems like wheel-slip or abrasion.
This research study may be extended by considering more number of success factors that are affecting the design of robot and its implementations.
Online since: January 2019
Authors: Xing Lu, Bo Qiong Li, Xiao Ming Li
It is noticeable that both pores contribute to the bending properties.
Hanada, Mechanical properties of porous titanium compacts prepared by powder sintering, Scripta Materialia. 2003 (49) 1197-1202
Zeng, Preparation, microstructure and mechanical properties of porous titanium sintered by Ti fibres, Journal of Materials Science - Materials in Medicine. 2008 (19) 401-405
Brinson, Effects of pore morphology and bone ingrowth on mechanical properties of microporous titanium as an orthopaedic implant material, Materials Transactions. 2004 (45) 1124-1131
Ashby, Cellular solids: structure and properties, 2nd ed, Cambridge, 1997
Hanada, Mechanical properties of porous titanium compacts prepared by powder sintering, Scripta Materialia. 2003 (49) 1197-1202
Zeng, Preparation, microstructure and mechanical properties of porous titanium sintered by Ti fibres, Journal of Materials Science - Materials in Medicine. 2008 (19) 401-405
Brinson, Effects of pore morphology and bone ingrowth on mechanical properties of microporous titanium as an orthopaedic implant material, Materials Transactions. 2004 (45) 1124-1131
Ashby, Cellular solids: structure and properties, 2nd ed, Cambridge, 1997
Online since: February 2017
Authors: Wei Qi Li, Qing Xian Ma, Rui Shan Xin
Compared as-quenched samples with as-normalized samples under the same healing parameters, it is found that cooling speed is also an important factor for internal crack healing.
As a result, the normal use of the workpieces was affected and their service life was shortened.
Yuan et al. [1, 2] studied internal crack healing in 20MnMo steel via a modelling method, and pointed out that recrystallization was the mainly factor for eliminating cavity-type defects.
Recently, Xin et al. [5, 6] investigated microstructure and mechanical properties of internal crack healing in a low carbon steel at elevated temperature, found that there were two crack healing mechanisms in the low carbon steel and the healing process could be classified into four stages, and also discovered that the strength recovery rate was higher than that of the plasticity.
Li, Microstructure and mechanical properties of internal crack healing in a low carbon steel, Mater.
As a result, the normal use of the workpieces was affected and their service life was shortened.
Yuan et al. [1, 2] studied internal crack healing in 20MnMo steel via a modelling method, and pointed out that recrystallization was the mainly factor for eliminating cavity-type defects.
Recently, Xin et al. [5, 6] investigated microstructure and mechanical properties of internal crack healing in a low carbon steel at elevated temperature, found that there were two crack healing mechanisms in the low carbon steel and the healing process could be classified into four stages, and also discovered that the strength recovery rate was higher than that of the plasticity.
Li, Microstructure and mechanical properties of internal crack healing in a low carbon steel, Mater.
Online since: October 2009
Authors: Xin Cun Zhuang, Hua Xiang, Zhen Zhao
It is
characterized by various process parameters including material properties, extrusion ratio, friction,
tool shape etc.
It is characterized by various process parameters including material properties, friction, extrusion ratio, die shape and so on.
As various process parameters in sheet metal extrusion affect the extrusion force, it is costly and time-consuming to study each parameter's influence by experiments.
Cold-rolled and 100% spheroidized carbide steel sheet C15E(EN) was used as the workpiece material, and a flow curve was determined by tensile testing experiments and its mechanical properties with Ludwik hardening material model.
Table 4 Analysis of forming force Factors Material type(A) εF (B) s(C) RP(D) Rd(E) µ (F) T1 114.8 107.2 147.8 157.1 152.3 152.5 T2 159.4 147.2 153.7 153.4 162.6 155.5 T3 191.2 211 163.8 154.8 150.5 157.2 R 76.4 103.8 16.0 3.7 12.1 4.7 Sum of squares 2945.8 5481.6 130.9 7 85.25 11.33 The range value (R) for each parameter is the difference between the maximal and minimal value of the three levels.
It is characterized by various process parameters including material properties, friction, extrusion ratio, die shape and so on.
As various process parameters in sheet metal extrusion affect the extrusion force, it is costly and time-consuming to study each parameter's influence by experiments.
Cold-rolled and 100% spheroidized carbide steel sheet C15E(EN) was used as the workpiece material, and a flow curve was determined by tensile testing experiments and its mechanical properties with Ludwik hardening material model.
Table 4 Analysis of forming force Factors Material type(A) εF (B) s(C) RP(D) Rd(E) µ (F) T1 114.8 107.2 147.8 157.1 152.3 152.5 T2 159.4 147.2 153.7 153.4 162.6 155.5 T3 191.2 211 163.8 154.8 150.5 157.2 R 76.4 103.8 16.0 3.7 12.1 4.7 Sum of squares 2945.8 5481.6 130.9 7 85.25 11.33 The range value (R) for each parameter is the difference between the maximal and minimal value of the three levels.
Online since: July 2022
Authors: Roman Shevchenko, Valentyna Loboichenko, Nataliia Leonova, Mykhailo Divizinyuk
Introduction
The environment is constantly changing due to both natural and anthropogenic factors.
Whereas for emergencies of different levels and origins, the question of accurately determining the initial factors of their occurrence and development is quite difficult.
Today, it is one of the major challenges for humanity, causing significant casualties in different countries and affecting the modern world.
At the same time, chemicals contained in anthropogenic products, under the influence of various external factors, can migrate into the environment [34].
Khalid, Reuse of COVID-19 face mask for the amelioration of mechanical properties of fat clay: A novel solution to an emerging waste problem, Science of the Total Environment. 794 (2021) 148746
Whereas for emergencies of different levels and origins, the question of accurately determining the initial factors of their occurrence and development is quite difficult.
Today, it is one of the major challenges for humanity, causing significant casualties in different countries and affecting the modern world.
At the same time, chemicals contained in anthropogenic products, under the influence of various external factors, can migrate into the environment [34].
Khalid, Reuse of COVID-19 face mask for the amelioration of mechanical properties of fat clay: A novel solution to an emerging waste problem, Science of the Total Environment. 794 (2021) 148746
Online since: October 2010
Authors: Xue Jun Li, Ji Gang Wu, Bai Hui Yao
When rotating
machinery break down, it will not only affect the normal running of rotor system, but also lead to
the serious accident such as shaft fracture in severe case, which causes the catastrophic damage to
the whole rotating machinery system and enormous economic losses[1].
The dimension parameter values of all parts of rotor test bench are shown in table 1, and the material property parameter values of all parts of rotor test bench are shown in table 2.
Conclusions Taken rotor test bench as experimental platform, the finite element model of rotor-bearing-base system is built, the vibration characteristics of the base is gained with transient analysis of the model, and the relative factors which effect vibration characteristics of the base is investigated.
Zou: Journal of Mechanical Engineering Science.
Ma : Mechanical Engineer, Vol.03(2009), P.69-71
The dimension parameter values of all parts of rotor test bench are shown in table 1, and the material property parameter values of all parts of rotor test bench are shown in table 2.
Conclusions Taken rotor test bench as experimental platform, the finite element model of rotor-bearing-base system is built, the vibration characteristics of the base is gained with transient analysis of the model, and the relative factors which effect vibration characteristics of the base is investigated.
Zou: Journal of Mechanical Engineering Science.
Ma : Mechanical Engineer, Vol.03(2009), P.69-71
Research on Test and Parameter Identification for Nonlinear Stiffness Characteristics of Leaf Spring
Online since: December 2012
Authors: Shao Hua Li, Yong Jie Lu, Cui Yan Wang, Shuang Yan Li
The stiffness characteristic caused by the vertical deformation of the leaf spring directly affects vehicle ride comfort, the integrity of the goods and the dynamic tire force[3].
Spring types and stiffness characteristics There are many nonlinear factors during the leaf spring’ actual working, such as large deformation, the contact between leafs and so on.
In recent decades, many scholars do some researches on the nonlinear mechanical model of the leaf spring.
Journal of Mechanical Engineering , 2007, 36:47-51 [7] Prem H, Rill G, Mclean J.
Measurement and Representation of the Mechanical Properties of Truck Leaf Springs.
Spring types and stiffness characteristics There are many nonlinear factors during the leaf spring’ actual working, such as large deformation, the contact between leafs and so on.
In recent decades, many scholars do some researches on the nonlinear mechanical model of the leaf spring.
Journal of Mechanical Engineering , 2007, 36:47-51 [7] Prem H, Rill G, Mclean J.
Measurement and Representation of the Mechanical Properties of Truck Leaf Springs.