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Online since: August 2013
Authors: Juan Juan Wang, Chun Yang, Guo Dong Shi
They are all engineering landslides in terms of the triggering factors.
Due to blasting and mechanical vibration in mine construction and the production process, unstable slope easily triggers new collapses and landslides, which hazard the road of mine, the mouth of holes, the mine floors, equipment, living sections and workers, etc.
(1) r=H/tgß (2) imax=Wmax/r (3) Kmax=1.52Wmax/r2 (4) εmax=b·Wmax (5) Umax=1.52bWmax/r (6) Hm=M/ (K-1) cosα (7) Wmax-Maximum subsidence, M-Orebody thickness, q-Subsidence factor
Table 1 The main ore body mining goaf deformation and collapse of computing List Name D1 (m) D3 (m) H0 (m) n1 n3 M (m) Wmax (mm) imax (mm/m) Kmax (10-3/m) εmax (mm) Umax (mm/m) Hm (m) NO.4 350 600 150 2.30 4.0 0.95 330 4.72 0.103 148.38 3.224 2.24 NO.32 350 238 200 1.75 1.2 0.75 180 1.93 0.032 85.58 1.857 2.50 NO.45 70 176 40 1.75 4.4 0.60 160 8.58 0.699 78.96 1.713 2.90 According to the mining design, and rock features surrounding ore bodies, the status of roadway that has been built up in mines and the choice of mining method, with the reference to similar domestic mining experience and the engineering geological properties of rock, we decide rock movement angle on the upper plate as 65°as well as both the lower plate and the end as 70°.
From the orebody lowest boundary point or the most prominent parts to the surface intersection points according to the selected displacement angle, meanwhile connecting these points, we can circle the range of surface rock movement which can be affected by orebody mining [5].
Due to blasting and mechanical vibration in mine construction and the production process, unstable slope easily triggers new collapses and landslides, which hazard the road of mine, the mouth of holes, the mine floors, equipment, living sections and workers, etc.
(1) r=H/tgß (2) imax=Wmax/r (3) Kmax=1.52Wmax/r2 (4) εmax=b·Wmax (5) Umax=1.52bWmax/r (6) Hm=M/ (K-1) cosα (7) Wmax-Maximum subsidence, M-Orebody thickness, q-Subsidence factor
Table 1 The main ore body mining goaf deformation and collapse of computing List Name D1 (m) D3 (m) H0 (m) n1 n3 M (m) Wmax (mm) imax (mm/m) Kmax (10-3/m) εmax (mm) Umax (mm/m) Hm (m) NO.4 350 600 150 2.30 4.0 0.95 330 4.72 0.103 148.38 3.224 2.24 NO.32 350 238 200 1.75 1.2 0.75 180 1.93 0.032 85.58 1.857 2.50 NO.45 70 176 40 1.75 4.4 0.60 160 8.58 0.699 78.96 1.713 2.90 According to the mining design, and rock features surrounding ore bodies, the status of roadway that has been built up in mines and the choice of mining method, with the reference to similar domestic mining experience and the engineering geological properties of rock, we decide rock movement angle on the upper plate as 65°as well as both the lower plate and the end as 70°.
From the orebody lowest boundary point or the most prominent parts to the surface intersection points according to the selected displacement angle, meanwhile connecting these points, we can circle the range of surface rock movement which can be affected by orebody mining [5].
Online since: May 2016
Authors: Zhe Liu, Qing Jian Liu, Bo Li, Jing Chuan Dong, Yan Yu Ding, Wang Tai Yong
A Method of Pitch Error Compensation for the Open Numerical Control System
Yanyu Ding1, Taiyong Wang1, Qingjian Liu2, a*, Jingchuan Dong1, Bo Li1
and Zhe Liu1
1 Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China
2 School of Mechanical Engineering, Tianjin University, Tianjin, China
ashuzhongziyou@sohu.com (corresponding author)
Keywords: Pitch error compensation, Cubic spline, Spline interpolation
Abstract.
According to the statistical material [1], more than 80% of the new machine can meet the design specifications only after commissioning when installed [2]; And more than 80% of the machine tools are under the condition of ultra properties and capacities after operating a period of time.
It is the major factor which affects the accuracy and machining error of CNC-machine tool in the process of production and processing.
Fig.1 A kind of ball retainer high-speed precision ball screw Traditional Pitch Error Compensation There are several factors that cause the pitch error of CNC machine tools: 1.The ball lead screw pair is at the end of the transmission chain of feed system.
According to the statistical material [1], more than 80% of the new machine can meet the design specifications only after commissioning when installed [2]; And more than 80% of the machine tools are under the condition of ultra properties and capacities after operating a period of time.
It is the major factor which affects the accuracy and machining error of CNC-machine tool in the process of production and processing.
Fig.1 A kind of ball retainer high-speed precision ball screw Traditional Pitch Error Compensation There are several factors that cause the pitch error of CNC machine tools: 1.The ball lead screw pair is at the end of the transmission chain of feed system.
Online since: January 2012
Authors: Hong Kai Chen, Xiao Ying He, Hong Mei Tang, Ying Zhong
According to the two-phase flow theory of debris flow deposit, analyzed the consolidation mechanical mechanism of highway debris flow deposit.
Fig.1 Two-phase equivalent model of debris flow Assuming that solid phase of debris flow is equivalent to the sphere with same particle size, its physical and chemical properties keeping constant during consolidation process.
Assuming that the consolidation of unsaturated debris flow deposit is proceeding at the steady-state evaporation, which means water’s permeability coefficient kw and gas phase’s conductivity coefficient Da does not change with space factor(, can be ignored).
(37) According to Eq.37,at t time during the process of consolidation, other soil mechanical parameters of saturated debris flow deposit are as follows.
Measuring related physical and mechanical parameter at local debris flow burying the highway, it can utilize Eq. 39 and Eq.40 to calculate soil mechanical parameter changing with time of debris flow deposit, such as excess pore water pressure, consolidation degree and decrement.
Fig.1 Two-phase equivalent model of debris flow Assuming that solid phase of debris flow is equivalent to the sphere with same particle size, its physical and chemical properties keeping constant during consolidation process.
Assuming that the consolidation of unsaturated debris flow deposit is proceeding at the steady-state evaporation, which means water’s permeability coefficient kw and gas phase’s conductivity coefficient Da does not change with space factor(, can be ignored).
(37) According to Eq.37,at t time during the process of consolidation, other soil mechanical parameters of saturated debris flow deposit are as follows.
Measuring related physical and mechanical parameter at local debris flow burying the highway, it can utilize Eq. 39 and Eq.40 to calculate soil mechanical parameter changing with time of debris flow deposit, such as excess pore water pressure, consolidation degree and decrement.
Online since: August 2010
Authors: Yu Lin Yang, Zhi Ning Jia, Bing Li Fan
Based on our previous work, nano-EG particles filled into PTFE could significantly improve the
anti-friction and wear-resistant properties of PTFE composite material [11].
Taking all factors into account the friction testing results mean that the variety of nano-particle significantly affect anti-friction property.
This indicates that the nano-particles filled into PTFE could well cooperate with nano-EG particles to enhance the various properties of composites.
Thus, the tribological properties of composite materials have been well improved.
The rolling-sliding effect is advantageous to reduce frictional resistance and consequently elevates the antifriction and wear resistance properties of composites.
Taking all factors into account the friction testing results mean that the variety of nano-particle significantly affect anti-friction property.
This indicates that the nano-particles filled into PTFE could well cooperate with nano-EG particles to enhance the various properties of composites.
Thus, the tribological properties of composite materials have been well improved.
The rolling-sliding effect is advantageous to reduce frictional resistance and consequently elevates the antifriction and wear resistance properties of composites.
Online since: September 2020
Authors: Xin Ming Zhao, Ming Kai Luo, Tang Lei, Zhi Wen He
Today's research on this technology focuses on ultrasonic excitation parameters [5], and the material's property parameters will also affect the test results.
At its core is a piezoelectric ceramic element whose main function is to convert high-frequency electrical signals into high-frequency mechanical vibrations.
As shown in Fig 3: Fig. 3 Simulated physical model Fig. 4 Mesh generation Table 2 Material properties Parameter Type aluminum steel Piezoelectric Ceramics density(kg/m³) 2700 7850 7500 Young's modulus(Gpa) 70 200 76 Poisson's ratio 0.33 0.30 0.32 Table 3 Concrete material properties Density (kg/m³) 2300 Thermal Conductivity(W/(m*K)) 1.8 Young's modulus (Gpa) 25 Atmospheric heat capacity(J/(kg*K)) 880 Poisson's ratio 0.20 Speed of sound(m/s) 4000 After the physical model is established, boundary conditions need to be defined.
The moisture content of concrete will affect its thermal conductivity.
The water content will affect the sound velocity in the concrete structure, thus changing the sound field distribution.
At its core is a piezoelectric ceramic element whose main function is to convert high-frequency electrical signals into high-frequency mechanical vibrations.
As shown in Fig 3: Fig. 3 Simulated physical model Fig. 4 Mesh generation Table 2 Material properties Parameter Type aluminum steel Piezoelectric Ceramics density(kg/m³) 2700 7850 7500 Young's modulus(Gpa) 70 200 76 Poisson's ratio 0.33 0.30 0.32 Table 3 Concrete material properties Density (kg/m³) 2300 Thermal Conductivity(W/(m*K)) 1.8 Young's modulus (Gpa) 25 Atmospheric heat capacity(J/(kg*K)) 880 Poisson's ratio 0.20 Speed of sound(m/s) 4000 After the physical model is established, boundary conditions need to be defined.
The moisture content of concrete will affect its thermal conductivity.
The water content will affect the sound velocity in the concrete structure, thus changing the sound field distribution.
Online since: April 2014
Authors: Jun Chen, Ying Li Yang, Hai Ying Yang, Ting Xun Wang
The deformation theory and metal rheological regularity of elbow made by expanding diameter and pushing bend is presented, and the factors of design and control effecting thickness uniformity during forming elbow is discussed in this paper.
Discussion The factors which affect wall thickness uniformity during expanding diameter and pushing bend process include design and manufacture of ram shape forming die, material mechanical property and physical property, lubrication condition, pushing temperature, temperature field distribution and pushing rate and so on[11].
Because of the metal rhoehological from belly region to back region during expanding diameter and pushing bend is relative to effect factors.
The lubrication condition directly affects tube material rheological property, surface quality of elbow, and service life of die during expanding-diameter and pushing bending procedure.
It can be seen that good lubrication is one of important factors to assure smooth flowing power and wall thickness uniformity.
Discussion The factors which affect wall thickness uniformity during expanding diameter and pushing bend process include design and manufacture of ram shape forming die, material mechanical property and physical property, lubrication condition, pushing temperature, temperature field distribution and pushing rate and so on[11].
Because of the metal rhoehological from belly region to back region during expanding diameter and pushing bend is relative to effect factors.
The lubrication condition directly affects tube material rheological property, surface quality of elbow, and service life of die during expanding-diameter and pushing bending procedure.
It can be seen that good lubrication is one of important factors to assure smooth flowing power and wall thickness uniformity.
Online since: November 2014
Authors: Zakaria Man, Zahid Majeed, Nur Kamila Ramli, Nurlidia Mansor
It provides evidence that SRFs biodegradation is influenced by lignin filler properties that reduced the starch hydrophilicity and decrease the swelling properties.
Water absorbance properties of the starch is the main promoting factor that cause more microorganism to invade the polymeric network [9] and increase weight loss (Fig. 1).
Liu, Preparation and properties of chitosan-coated NPK compound fertilizer with controlled-release and water-retention, Carbohydr.
Kayaman Apohan, Preparation and drug release properties of lignin–starch biodegradable films, Starch‐Stärke 64 (2012) 399-407
Fang, Mechanical properties research and structural characterization of alkali lignin/poly (vinyl alcohol) reaction films, BioResources 8 (2013) 3532-3545.
Water absorbance properties of the starch is the main promoting factor that cause more microorganism to invade the polymeric network [9] and increase weight loss (Fig. 1).
Liu, Preparation and properties of chitosan-coated NPK compound fertilizer with controlled-release and water-retention, Carbohydr.
Kayaman Apohan, Preparation and drug release properties of lignin–starch biodegradable films, Starch‐Stärke 64 (2012) 399-407
Fang, Mechanical properties research and structural characterization of alkali lignin/poly (vinyl alcohol) reaction films, BioResources 8 (2013) 3532-3545.
Online since: October 2010
Authors: R. Meli, Cano M. Chavez
The model was built with the same materials as the prototype, in order to reproduce as
close as possible its mechanical properties and the same modes of failure.
The time scale of the seismic input was reduced by the scale factor and the acceleration was increased by this same factor; in this manner the dynamic stresses are maintained the same than for the prototype, but the stresses due to the self weight of the building are reduced by the scale factor (eight time smaller in the model).
Material properties used in the numerical simulation are shown in Table 1.
Table 1: Properties of materials Properties Masonry Stone Brick Density [kg/m 3] 1830 1580 Young's modulus [MPa] 551 1472 Poisson's ratio 0.3 0.3 Compression Strength [MPa ] 1.59 4.91 Tensile strength [MPa] 0.13 0.39 Considerable computational resources are needed to run a time-history non linear analysis of this kind.
From parametric analysis varying significant material properties, it was found that the response of the structure and the patterns of cracking are very sensitive to the tensile strength assumed in the numerical model and to the amount of internal damping.
The time scale of the seismic input was reduced by the scale factor and the acceleration was increased by this same factor; in this manner the dynamic stresses are maintained the same than for the prototype, but the stresses due to the self weight of the building are reduced by the scale factor (eight time smaller in the model).
Material properties used in the numerical simulation are shown in Table 1.
Table 1: Properties of materials Properties Masonry Stone Brick Density [kg/m 3] 1830 1580 Young's modulus [MPa] 551 1472 Poisson's ratio 0.3 0.3 Compression Strength [MPa ] 1.59 4.91 Tensile strength [MPa] 0.13 0.39 Considerable computational resources are needed to run a time-history non linear analysis of this kind.
From parametric analysis varying significant material properties, it was found that the response of the structure and the patterns of cracking are very sensitive to the tensile strength assumed in the numerical model and to the amount of internal damping.
Online since: September 2017
Authors: Naser Mahmoud Ahmed, Shahrom Mahmud, Dauda Abubakar
The Optical properties were investigated by using UV-VIS-NIR spectroscopy (Model; Jobin Yvon HR 800 UV).
The kinetics oxidation lies on several factors that include oxygen pressure, amount of steam content, annealing time, temperature etc [6].
The effect of annealing temperature on optical properties of the grown NiO thin films was studied.
Charitidis, “Structural, electrical and mechanical properties of NiO thin films grown by pulsed laser deposition,” Appl.
Botha, “Optical and electrical properties of NiO for possible dielectric applications,” S.
The kinetics oxidation lies on several factors that include oxygen pressure, amount of steam content, annealing time, temperature etc [6].
The effect of annealing temperature on optical properties of the grown NiO thin films was studied.
Charitidis, “Structural, electrical and mechanical properties of NiO thin films grown by pulsed laser deposition,” Appl.
Botha, “Optical and electrical properties of NiO for possible dielectric applications,” S.
Online since: September 2012
Authors: Toshiki Hirogaki, Keiji Ogawa, Hiroyuki Kodama, Masatoshi Shindou, Eiichhi Aoyama
An End-milling Condition Decision Support System Using Data-Mining for Difficult-to-cut Materials
Hiroyuki Kodama1,a, Masatoshi Shindou2,b, Toshiki Hirogaki1,c,
Eiichi Aoyama1,d and Keiji Ogawa3,e
1Department of Mechanical Engineering, Doshisha University
1-3 Miyakodani, Tatara, Kyotanabe-shi, Kyoto 610-0321, Japan
2Research and Development Group, Yamamoto Metal Technos Co., Ltd.
4-7 Setoguchi, 2-chome, Hirano-ku, Osaka 547-0034, Japan
3Department of Mechanical Systems Engineering, University of Shiga Prefecture
2500 Hassaka-cho, Hikone-shi, Shiga 522-8533, Japan
aetl1302@mail4.doshisha.ac.jp, bshindou@yama-kin.co.jp, cthirogak@mail.doshisha.ac.jp, deaoyama@mail.doshisha.ac.jp, eogawa@mech.usp.ac.jp
Keywords: End-milling, Catalog data, Data mining, Hierarchical and non-hierarchical clustering, Response surface method, Difficult-to-cut materials, JIS SUS310S
Abstract.
Yamane and Sekiya [4] proposed a difficult-to-cut rating that can be calculated from the mechanical and thermal properties of the workpiece and used to estimate the difficulty of processing considering only the properties of the workpiece.
though tool makers design tool shapes in much the same way, the end-milling conditions they recommend in their tool catalogs, which affect processing efficiency and cost, differ among makers due to differences in the coating base material coatings and edge angles they develop.
These are important processing condition factors in side milling and slotting.
Yamane and Sekiya [4] proposed a difficult-to-cut rating that can be calculated from the mechanical and thermal properties of the workpiece and used to estimate the difficulty of processing considering only the properties of the workpiece.
though tool makers design tool shapes in much the same way, the end-milling conditions they recommend in their tool catalogs, which affect processing efficiency and cost, differ among makers due to differences in the coating base material coatings and edge angles they develop.
These are important processing condition factors in side milling and slotting.