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Online since: May 2012
Authors: Fu Kun Xiao, Chun Jie Zhang, Li Wei Gao, Yang Yang Yue
Geological conditions, support patterns and bad construction are considered as the main factors of roadway damage and new support method is given.
This mine area is affected by tectonic movement, with semi-arched by the boring straight wall.
Table 1 shows the selection of mechanical parameters.)
Table 1 The table of mechanical parameters of model No.
Stress Distribution Based on the above analysis we can see that the reasons for the roadway deformation can be attributed to the following aspects: The surrounding rock reflects the weak nature of surrounding rock and has strong expansion properties because of large proportion of muddy.
This mine area is affected by tectonic movement, with semi-arched by the boring straight wall.
Table 1 shows the selection of mechanical parameters.)
Table 1 The table of mechanical parameters of model No.
Stress Distribution Based on the above analysis we can see that the reasons for the roadway deformation can be attributed to the following aspects: The surrounding rock reflects the weak nature of surrounding rock and has strong expansion properties because of large proportion of muddy.
Online since: October 2006
Authors: Saburo Tanaka, Hiroyoshi Fujita, Yoshimi Hatsukade, Tatsuoki Nagaishi, Kazuaki Nishi, Hajime Ota, Takeyoshi Otani, Shuichi Suzuki
Then the shielding factor of 732 in Z-component was achieved.
However, it shows properties similar to those of a ferromagnetic material after martensitic transformation by history during its fabrication.
Conversion factor of Volt to Tesla is 1.2 nT/V.
The signal was not affected by either electromagnetic radiation of a mobile phone or motion of a bulky steel cart near the system.
On the contrary, for stainless steel balls (open circle), which are nominally austenitic stainless signals deviate from expected value because their magnetism depends on the martensitic phase content which is affected by the mechanical history of the balls.
However, it shows properties similar to those of a ferromagnetic material after martensitic transformation by history during its fabrication.
Conversion factor of Volt to Tesla is 1.2 nT/V.
The signal was not affected by either electromagnetic radiation of a mobile phone or motion of a bulky steel cart near the system.
On the contrary, for stainless steel balls (open circle), which are nominally austenitic stainless signals deviate from expected value because their magnetism depends on the martensitic phase content which is affected by the mechanical history of the balls.
Online since: January 2014
Authors: Sergio Neves Monteiro, Veronica Scarpini Candido, Ruben Jesus Sanchez Rodriguez, Everton Maick Rangel Pessanha, Herval Ramos Paes, Lioudmila Aleksandrovna Matlakhova
ewerton_cosmos@yahoo.com.bra, lioudmila@uenf.brb, herval@uenf.brc, sanchez@uenf.brd, v.scarpini@yahoo.com.bre, sergio.neves@ig.com.brf
Keywords: TiNi alloy, thermal treatment, reversible martensitic transformation, structure, properties.
It is also known that the structure and properties of the TiNi alloys are sensibly affected by thermal treatments [4] Therefore the presents work has as its objective to investigate the changes in structure and properties of an almost equiatomic TiNi alloy caused by annealing at temperatures in the interval from 300 to 500ºC, followed by air cooling.
These samples were characterized for their transformed structures and changes in properties.
(1) Where V is the voltage in μV, i is the current in mA, s the distance between pointers, around one mm, F1 and F2, two correction factors.
Welsch: Materials Properties Handbook Titanium Alloys, (Metals Park: ASM, 1994) p. 1035-1048.
It is also known that the structure and properties of the TiNi alloys are sensibly affected by thermal treatments [4] Therefore the presents work has as its objective to investigate the changes in structure and properties of an almost equiatomic TiNi alloy caused by annealing at temperatures in the interval from 300 to 500ºC, followed by air cooling.
These samples were characterized for their transformed structures and changes in properties.
(1) Where V is the voltage in μV, i is the current in mA, s the distance between pointers, around one mm, F1 and F2, two correction factors.
Welsch: Materials Properties Handbook Titanium Alloys, (Metals Park: ASM, 1994) p. 1035-1048.
Online since: May 2023
Authors: Xi Wu Li, Kai Wen, Ya Nan Li, Hua Zhou, Bai Qing Xiong, Hai Tao Lin
Thereinto, the characteristics of grain and precipitations are the basic factors to decide the final product property, which can be modified by adjusting deformation technics and heat treatments.
Abundant researches have mentioned the effect of grain size on mechanical property.
The tensile properties were measured by a MTS CMT4304 test machine at a constant speed of 2 mm/min.
Fig. 4 Mechanical property of the three alloys.
Effect of Sc microalloying on microstructure evolution and mechanical properties of extruded Al-Zn-Mg-Cu alloys, Mater.
Abundant researches have mentioned the effect of grain size on mechanical property.
The tensile properties were measured by a MTS CMT4304 test machine at a constant speed of 2 mm/min.
Fig. 4 Mechanical property of the three alloys.
Effect of Sc microalloying on microstructure evolution and mechanical properties of extruded Al-Zn-Mg-Cu alloys, Mater.
Online since: October 2015
Authors: Seong Joo Choi, Fredrick Joseph Otim
The mechanical and chemical properties of mild steel are shown in tables 1 and 2
Table 1: Mechanical properties of Mild steel Table 2: Chemical composition of Mild Steel
In this study the experimental plan has feed rate, spindle speed and depth of cut as the controllable variables and the response variables are Energy Consumption (EC) and Material Removal Rate (MRR).After preliminary experiments were conducted by using one variable at a time approach, the feasible ranges for the machining parameters were selected.
In Table 10 above, the combination of A3, B3, and C3 shows the largest value of the GRG for the factors A, B, and C respectively.
The values of each of the factor level in twenty seven experimental runs are set to be the comparability sequences for three controllable factors as shown in Table 12.
Therefore, the order of importance for the controllable factors to EC, in sequence is feed rate, spindle speed and depth of cut.
Then the order of importance for the controllable factors to MRR, in sequence is depth of cut, feed rate and spindle speed.
In Table 10 above, the combination of A3, B3, and C3 shows the largest value of the GRG for the factors A, B, and C respectively.
The values of each of the factor level in twenty seven experimental runs are set to be the comparability sequences for three controllable factors as shown in Table 12.
Therefore, the order of importance for the controllable factors to EC, in sequence is feed rate, spindle speed and depth of cut.
Then the order of importance for the controllable factors to MRR, in sequence is depth of cut, feed rate and spindle speed.
Online since: September 2013
Authors: Mohd Mustafa Al Bakri Abdullah, H.M. Nor Hakim, R.M. Ikhwan Zaini, Z.A. Ahmad, M. Mazlan, A. Bakir Azman
The origin and magnitude of various types of wear, such as flank wear, rake wear and notch wear are the dominant factors, which govern the machining performance of cutting tools.
All these factors for assessing the machining performance of a cutting tool are mutually inter-dependent.
Addition of MgO showed small effect to prevent the excessive chipping although it is not enough to extend the tool life for tool B thus increasing the properties of fracture toughness for ceramic insert.
Ahmad, “Effect of Al2O3/YSZ microstructures on wear and mechanical properties of cutting inserts,” Journal of Alloys and Compounds, Volume 478, Issues 1-2, 10 June 2009, pg: 608-614
“The effects of MgO addition on microstructure, mechanical properties and wear performance of zirconia-toughened alumina cutting inserts,” Journal of Alloys and Compounds, doi:10.1016/j.jallcom. 2010.03.054.
All these factors for assessing the machining performance of a cutting tool are mutually inter-dependent.
Addition of MgO showed small effect to prevent the excessive chipping although it is not enough to extend the tool life for tool B thus increasing the properties of fracture toughness for ceramic insert.
Ahmad, “Effect of Al2O3/YSZ microstructures on wear and mechanical properties of cutting inserts,” Journal of Alloys and Compounds, Volume 478, Issues 1-2, 10 June 2009, pg: 608-614
“The effects of MgO addition on microstructure, mechanical properties and wear performance of zirconia-toughened alumina cutting inserts,” Journal of Alloys and Compounds, doi:10.1016/j.jallcom. 2010.03.054.
Online since: August 2012
Authors: Li Zhi Gu, Peng Li
Results from the constructed mechanical, mathematical model, and the ANSYS finite element model were compared.
According to these models, the key parameters affecting the beam vibration are identified to work out more accurate and effective structure optimization design and prediction.
Main features of the embroidery machine are of multi-inducing factor, multi-mechanism and high rotational speed.
It has shown that the constructed models are consistent with experiment results and the models and analysis methods are reasonable and feasible. key parameters affecting the beam vibration cover beam length, section dimension and section shape coefficient.
Programs Foundation of Ministry of Education of China(20103501110001) References [1] Chen Zhengming, Bai Hongjin, Zhan Jian and Chen Hongli: The Research on the Structure and Properties of the Multi-head Computerized Embroidery Machine.
According to these models, the key parameters affecting the beam vibration are identified to work out more accurate and effective structure optimization design and prediction.
Main features of the embroidery machine are of multi-inducing factor, multi-mechanism and high rotational speed.
It has shown that the constructed models are consistent with experiment results and the models and analysis methods are reasonable and feasible. key parameters affecting the beam vibration cover beam length, section dimension and section shape coefficient.
Programs Foundation of Ministry of Education of China(20103501110001) References [1] Chen Zhengming, Bai Hongjin, Zhan Jian and Chen Hongli: The Research on the Structure and Properties of the Multi-head Computerized Embroidery Machine.
Online since: January 2006
Authors: A. Kiet Tieu, Giovanni D'Alessio, Cheng Lu, Zheng Yi Jiang, Hong Tao Zhu, C. You
Introduction
It is well known that the determination of friction in the roll bite is of great importance in cold strip
rolling because it has a significant effect on the rolling force, forward slip, mechanical properties and
surface quality of the products.
There are many important factors affecting the actual friction in the roll bite, such as strip surface condition, surface roughness and hardness of the rolls and strip, lubrication condition, temperature of the rolls and strip, and rolling speed.
Considering all above factors, the following equation is proposed to describe the friction coefficient in the roll bite during cold rolling 1 r bd (a c ) veN µε =++⋅⋅ +⋅
(6) Friction Coefficient Prediction based on Neural Network Because the friction performance in the roll bite is affected by many factors and shows the nonlinear behaviours, it is difficult to achieve an accurate prediction of the friction coefficient by a simple model, like Eq. 4.
The rolling speed is a crucial parameters affecting friction.
There are many important factors affecting the actual friction in the roll bite, such as strip surface condition, surface roughness and hardness of the rolls and strip, lubrication condition, temperature of the rolls and strip, and rolling speed.
Considering all above factors, the following equation is proposed to describe the friction coefficient in the roll bite during cold rolling 1 r bd (a c ) veN µε =++⋅⋅ +⋅
(6) Friction Coefficient Prediction based on Neural Network Because the friction performance in the roll bite is affected by many factors and shows the nonlinear behaviours, it is difficult to achieve an accurate prediction of the friction coefficient by a simple model, like Eq. 4.
The rolling speed is a crucial parameters affecting friction.
Online since: November 2015
Authors: Stanisław Legutko, W. Radoslaw Maruda, Grzegorz Królczyk, Srecko Krile, Andrzej Metelski
It was observed that the cutting speed is the most significant cutting parameter affecting the durability of edge.
The cutting speed and feed rate affecting the tool life for T1 by approximately 60% and 20% respectively and by about 66% and 30% for the inserts T2.
Applied Dijkstra's algorithm requires the assumption of constant values of weighting factors k1 and k2.
ANOVA analysis indicates that the cutting speed and feed rate were affecting the tool life about 60% and 20%, respectively (the first type of the cutting tool) and by approximately 66% and 30% respectively (the second type of the cutting tool).
Dyachkova, On the properties and tribological behaviors of P/M iron based composites reinforced with ultrafine particulates, Composites Part B: Engineering. 58 (2014) 16-24
The cutting speed and feed rate affecting the tool life for T1 by approximately 60% and 20% respectively and by about 66% and 30% for the inserts T2.
Applied Dijkstra's algorithm requires the assumption of constant values of weighting factors k1 and k2.
ANOVA analysis indicates that the cutting speed and feed rate were affecting the tool life about 60% and 20%, respectively (the first type of the cutting tool) and by approximately 66% and 30% respectively (the second type of the cutting tool).
Dyachkova, On the properties and tribological behaviors of P/M iron based composites reinforced with ultrafine particulates, Composites Part B: Engineering. 58 (2014) 16-24
Online since: January 2014
Authors: Min Zhou, Kai Fu Zhou, Wen Jie Ge, Bi Yuan Wang, Da Fu Cao
Most existing researches are about the basic mechanical properties of the concrete after freeze-thaw cycles.
Zhao[13] studied mechanical behaviors of concrete beams reinforced by GFRP after freeze-thaw cycles.
Though ultimate load has no obvious decrease between 0 to 75 freeze-thaw cycles, downward faster after 75 freeze-thaw cycles. 2.4 Effection of stirrup ratio on cracking load, ultimate load Stirrup ratio is one of the main factors affecting the performance of concrete shear behavior, Effection curves of stirrup ratio on cracking load, ultimate load are shown in Figures 6 and 7.
The increasing of freeze-thaw cycles result in faster development of strain stirrups, and the final value decreases; (3) Concrete beams cracking load and ultimate load decreased with the increasing of freeze-thaw cycles, stirrup spacing’s increasing, and the freeze-thaw cycles considered being the main factors.
Influences of mixture composition on properties and freeze-thaw resistance of RCC[J].
Zhao[13] studied mechanical behaviors of concrete beams reinforced by GFRP after freeze-thaw cycles.
Though ultimate load has no obvious decrease between 0 to 75 freeze-thaw cycles, downward faster after 75 freeze-thaw cycles. 2.4 Effection of stirrup ratio on cracking load, ultimate load Stirrup ratio is one of the main factors affecting the performance of concrete shear behavior, Effection curves of stirrup ratio on cracking load, ultimate load are shown in Figures 6 and 7.
The increasing of freeze-thaw cycles result in faster development of strain stirrups, and the final value decreases; (3) Concrete beams cracking load and ultimate load decreased with the increasing of freeze-thaw cycles, stirrup spacing’s increasing, and the freeze-thaw cycles considered being the main factors.
Influences of mixture composition on properties and freeze-thaw resistance of RCC[J].