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Online since: October 2010
Authors: Ying Liu, Ran Huang, Yan Fei Xu
Ultimately the designed cleaner process is bound to take a comprehensive consideration of quality, environment and other factors.
Blank manufacturing methods not only directly affect mechanical properties and manufacturing economy of parts, but also relate to environmental properties of the process, that is to say, blank manufacturing methods almost determine the size of the raw material utilization.
Therefore, when we choose blank, we can make full use of 'House of Environment' to make a comprehensive balance of influencing factors.
Forging blank possesses high comprehensive mechanical properties, smaller blank allowance and high raw material utilization, but the structure is more complex and manufacturing cost is high.
Likewise, welded blank also possesses high mechanical properties, small allowance and high raw material utilization, but the structure is complex and cost is higher.
Online since: June 2007
Authors: Nobusuke Hattori, Cong Ling Zhou, Shinichi Nishida
As one of the most common type, torsional fatigue properties are normally calculated from the rotating bending fatigue properties.
In addition, torsional fatigue properties are normally calculated from the rotating bending fatigue properties.
Firstly, the specimens were cut out from round bars (Φ25mm), and then they were normalized (990°C, 2hrs, twice), and the main mechanical properties of the test materials are listed in Table 2.
Mechanical properties σY [MPa] σB [MPa] ψ [%] 360 633 54.4 σY, Yielding stress, σB, Tensile stress, ψ, Reduction ratio of area Table 1.
The density of tensile slip lines during the pre-strain may be one of the effect factors for the strength improvement.
Online since: June 2020
Authors: Rossana Bellopede, Lorena Zichella, Paola Marini
The factors causing the degradation of marble can be both intrinsic and extrinsic.
The latter are linked to external factors, such as the temperature, pressure and relative humidity, to which the stone is subjected.
These degradation factors produce a worsening of the mechanical properties of the material [1], such as an increase in water absorption and a decrease in flexural strength, due to the increased porosity of the rock, and in some cases, mainly in marble, can be linked to bowing.
Table 3: Physical and mechanical properties in natural conditions (original values), after natural ageing and artificial ageing of the marbles tested.  
Stigh, Relationship between texture and mechanical properties of granites, central Sweden, by use of image-analysing techniques.
Online since: October 2014
Authors: Tomasz Rokita, Wacław Oleksy
It also touches the subject of the properties of carrying-hauling rope constructions with equal lay and compacted strands used in ropeways in Poland in the last two decades with particular emphasis on the structure of cores made of plastics.
Introduction Steel wire ropes are the main elements of the cableways, which is why it is very important to know the impact of all factors on the process of rope wear.
These conditions affect the service life and durability of the rope.
One way to stabilize the mechanical properties of the steel wire rope is to use a core made of plastics.
The wire rope elongation is influenced by many factors - among other things: rope construction, the rope core, the number of cycles, the value of loads, load variations, etc.
Online since: June 2013
Authors: Yan Ru Zhao, Yong Ming Xing, Heng Mao Niu
Besides the mix design, fiber distribution is another crucial factor for strain-hardening properties of ECC [5,6].
At the same time, the fresh properties reach the condition for a desirable plastic viscosity before the fiber addition.
Improved fiber distribution and mechanical properties of engineered cementitious composites by adjusting the mixing sequence.
A design approach for the mechanical properties of polypropylene discontinuous fiber reinforced cementitious composites by extrusion molding[J].
Flowability of fiber-reinforced concrete and its effect on the mechanical properties of the material[J].
Online since: October 2014
Authors: Nor Hafizah Abdullah, Karthigesu Thanarasi
The mass properties measurement for the test jig is limited to calculating in vertical configuration only.
That’s why the installation process and environment factor are crucial and need to be done and focus properly to minimize the offset, which may affect the result.
In addition, the performance of this mass properties measurement test for the adaptor is successfully obtained.
Wiener, The Role of Mass Properties Measurement in the Space Mission, European Conference on Spacecraft Structures, Materials &Mechanical Testing 2005Noordwijk, the Netherlands, 10 – 12 May 2005 (ESA SP-581, August 2005) [2] POI-1000M Operating Instructions pp. 15-16
[3] RazakSAT Structural Model (SM) Test Jig Mass Properties Measurement Procedures, 2013, page 8
Online since: October 2010
Authors: Chong Hai Xu, Guang Yong Wu, Yong Lian Zhang, Rong Bo Zhang
Study on the Friction and Wear Properties of Yttrium-Stabilized Zirconia Based Nanocomposite Ceramic Tool and Die Materials Chonghai Xu1,2,a, Guangyong Wu1,b, Yonglian Zhang1, c and Rongbo Zhang3, d 1School of Mechanical Engineering, Shandong Institute of Light Industry, Jinan, 250353,China 2School of Mechanical Engineering, Shandong University, Jinan, 250061, China 3Tengyue Electronic CO., LTD, Jinan, 250101, China axch@sdili.edu.cn, bgywu168@sina.com, czhangyonglian2009@126.com, dzhangrongbo108@163.com Keywords: Nanocomposite ceramic, Zirconia, Tool and die material, Friction and wear Abstract.
Based on the requirements for ceramic materials of cutting tool and die and the aim of improving comprehensive mechanical properties of ceramic tool and die materials, nanocomposite ceramic tool and die materials with high mechanical properties were fabricated successfully with nanometer composite method.
Friction and wear properties of the developed ZrO2/Ti(C7N3) nanocomposite ceramic tool and die materials were experimentally studied in detail.
Mechanical properties of the ceramic tool and die material are given in Table 1.
All these factors can intensify the wear of the material.
Online since: March 2007
Authors: Yoichi Kayamori, S. Hillmansen, P.S.J. Crofton, Roderick A. Smith
Smith d Department of Mechanical Engineering, Imperial College London South Kensington, Exhibition Road, London, SW7 2BX, UK a y.kayamori@imperial.ac.uk, bs.hillmansen@imperial.ac.uk c s.crofton@imperial.ac.uk, droderick.smith@imperial.ac.uk Keywords: Ductile Crack Propagation, SENT Specimen, CTOA, Dynamic Fracture, Global constraint factor, finite element analysis Abstract.
On average, it was observed that higher crack speeds affected the constant values of the critical CTOA by slightly reducing them.
Load was applied at three different strain rates in order to evaluate the effects of strain rate and temperature on mechanical properties.
C Si Mn P S 0.14 0.19 1.33 0.017 0.003 where T is the absolute temperature, α and β are factors, ε � is the strain rate, and r0 is the strain rate-temperature parameter at a static strain rate and an ambient temperature. σ and σ0 are the yield stress or tensile strength at r and r0, respectively.
On average, higher crack speeds affected the constant CTOA by slightly reducing them, as shown in Fig. 6.
Online since: February 2016
Authors: Jun Du, Cheng Tang, Bo Jia, De Zhang, Qiang Miao
But in high soil resistivity regions, these measures are limited by the factors of economy, space or applying effect [1].
The preparation process seriously affects the properties of conductive concrete.
Regarding to the application on grounding network, the resistivity, compressive strength and flexural strength are three critical properties of conductive concrete.
Stainless steel fiber content, graphite content, silica fume content, dispersant content and water-cement ratio are the five key factors to influence the above three critical properties.
Mechanical Strength.
Online since: September 2013
Authors: Guang Yang, He Zhi Liu, Kai Zhu, Dong Sheng Liu
software—MSC.Marc, this article makes inversion analysis for mechanical parameters of dam.By combining the monitoring data of a dam,inversion analysis[6] is made on the elastic modulus of the dam body,dam foundation,both dam shores and the fault fracture zone by using the artificial fish swarm algorithm.Results show that using artificial fish swarm algorithm to make inversion analysis on dam mechanical parameters not only has faster con -vergence rate but also have higher accuracy.
Introduction For a dam that has been working for many years,the mechanics parameters and design of its body,foundation and reservoir rock are largely different from the experiment value.In practice,the main method for confirming mechanical parameters of the dam is on-site testing[1-4].This method involves big workload and can damage the original structure.In addition,it can only learn the physical and mechanical properties of part of the dam.Therefore,it is necessary to combine numerical analysis calculation to get ,the elastic modulus of dam body,the deformation modulus of batholiths of the dam foundation,and,the deformation modulus of batholiths of the reservoir basin in a reverse way on the basis of the normal analysis of prototype observation data,that is to say,make inversion analysis for physical and mechanical parameters of dam.Along with the constant improvement of artificial intelligence and the development of high-speed computer,neural network,genetic algorithm and particle swarm
(1)According to the actual situation,select the value range of mechanical parameters of the zone dam on which the inversion analysis[9] will be made,and initialize the fish school.Set all parameters of the fish school:fish scale N,the sensing range of the artificial fish VISUAL,the moving step length of the artificial fish STEP,crowding factor,the maximum number of iterations trynumber
(2)Derive the water pressure component by using MSC.Marc software.Organize the data block of the dam mechanical parameters by initializing the artificial fish school.
Make analytical calculation by using MSC.Marc and the water pressure component corresponding with the presumed dam mechanical parameters
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