Search Options

Sort by:

Sort search results by

Publication Type:

Publication Type filter

Open access:

Publication Date:

Periodicals:

Periodicals filter

Search results

Online since: March 2013
Authors: Pedro Rivera-Diaz-del-Castillo, Enrique Galindo Nava
Modelling dynamic recrystallization in FCC metals employing thermostatistics Enrique Galindo-Nava1,2,a , Pedro Rivera-Díaz-del-Castillo1,b 1Department of Materials Science and Metallurgy, University of Cambridge, United Kingdom 2Department of Materials Science and Engineering, Delft University of Technology, Netherlands aeg375@cam.ac.uk, bpejr2@cam.ac.uk Keywords: Dynamic recrystallization; dislocation theory; plasticity; hot deformation; statistical thermodynamics.
The energy barrier to ignite grain growth is expressed as a function of the strain energy stored on the material and a statistical entropy contribution due to the degrees of freedom available to a dislocation for annihilation.
The material parameters used in the model are the same that were previously employed for describing deformation at lower temperatures.
Rivera-Díaz-del-Castillo: submitted to International Journal of Plasticity
Bishop: Modern Physical Metallurgy and Materials Engineering (Butterworth-Heinemann, 1999)
Online since: September 2013
Authors: Yu Hong Zhou, Ye Li, Li Fu, Chen Juan Liu
While the nature of the catalyst plays a key role in the overall performance of aluminum-air battery and the increase of the activity of cathode materials for a few times higher is a formidable challenge that requires a fundamental breakthrough.
All chemical materials and solvents used in the experiments were analytical grade reagents.
This contributes to its potential as an efficient catalyst material for aluminum-air batteries.
Mohamad, Electrochemical properties of aluminum anodes in gel electrolyte-based aluminum-air batteries, Corrosion Science 50 (2008) 3475-3479
Wang, Graphene nanoplate-Pt composite as a high performance electrocatalyst for direct methanol fuel cells, Journal of Power Sources 204 (2010) 46-52.
Online since: December 2013
Authors: Li Jun Fang, Jing Jing Liu, Rong Rong Yin
The materials and shape structure of porous ceramics have been studied [4].
Journal of materials, 2007, 21(12): 92-94
Journal of Xi’an Jiaotong University, 2002, 36(3): 233-236
Journal of Ningbo University(nsee) , 2008,21(3):423-427
Journal of Thermal Science and Technology, 2003, 2(2): 154-156
Online since: September 2011
Authors: Ning Wang, Su Duo Xue, Xiong Yan Li
Sichuan Building Science, Vol.30(2004) p.10-12 [7] J.L.
Journal of Harbin Institute of Technology, Vol.41(2009) p.1-6 [9] Z.H.
Journal of Building Structures, Vol.31(2010) p.65-71 [12] S.
China Civil Engineering Journal, Vol.38(2005) p.21-30 [19] W.L.
Journal of Building Structure, Vol.30(2005) p.155-161
Online since: February 2011
Authors: Cheng Long Gong, Jing Zhuo Wang, Yuan Feng
holding segment Holding 295°C and standing for 30 minute Second cooling -110°C/h, cooling up to room temperature Table 3 Control target of the system Segment Heating rate and Heating time Power supply 0-10kW, 380V±10% and 50Hz Control range room temperature to 600°C Measurement precision ±0.5°C Control precision ±0.5% Display real-time graph Record disk recorder or printout recorder Sampling time adjustable in 1-200 sec Table 4 Sintering curve with 120°C/h rate of heating & 385°C heat preservation Time/minute Initial sect Heating sect Overshoot sect Steady-state sect 0 1 3 10 60 120 180 181 182 182.5 183 185 190 200 Set point/°C 20.0 22.0 24.0 40.0 140.0 240.0 380.0 382.0 384.0 385.0 385.0 385.0 385.0 385.0 Practical/°C 20.0 20.5 21.5 40.0 140.5 240.5 387.0 383.0 383.0 386.0 387.0 386.5 386.0 383.5 error /°C 0.0 1.5 2.5 0.0 -0.5 0.5 1.0 -1.0 1.0 0.0 -2.0 -1.5 -1.0 1.5 References [1] Tang Wei, Zhu Baoliang and Liu Jiajun, in: Research on wear resistance mechanism of a new seal material
Electronic Components & Materials, 2001, 20(4):1-2 [3] Li Wanzhou, in: Development of a temperature control system based on Lonworks[J].
Journal of Tianjin University of Science and Technolog, 2003, 18(S1):82-83
Chinese Journal of Scientific Instrument,2004,25(4):358-361, 367 [8] Liu Xiangdong et al, in: A new self-adjusting fuzzy controller of a class of first-order system[J].
Journal Harbin Univ.
Online since: August 2004
Authors: Joon Hyun Lee, Sang Woo Choi, Seung Hyun Kang, Bo Young Lee
Materials and specimens The material used in this study was austenitic steel (SUS 304).
Acknowledgement This work was supported by the Ministry of Science and Technology through Basic Atomic Energy Research Institute (BAERI) program.
Hayman: British Journal of NDT Vol. 9 (1985), p. 295
Golan: Journal of Nondestructive Evaluation Vol. 1 (1980), p. 11
[7] Chung-Seog Oh: International Journal of Fatigue Vol. 23 (2001), p. 241
Online since: October 2019
Authors: Ashot Tamrazyan, Makhmud Kharun
Acknowledgement This research work was financially supported by the Ministry of Education & Science of the Russian Federation (Agreement No. 02.A03.21.0008).
Applied Mechanics and Materials, 467 (2014), p. 404-409
Journal of the Structural Division: ASCE, 97(7) (1971), p. 1969-1990
Journal of the Structural Division: ASCE, 108(12), (1982), p. 2703-2722
Journal of the Structural Division: ASCE, 114(8) (1988), p. 1804-1825
Online since: January 2012
Authors: Yu Sheng Li, Guang Peng Cao, Zi Chen He
According to site survey estimates, the moving reserves of the material source of debris flow with the volume of about 40 to 50 thousands cubic meters, as well as the total reserves of about 200 to 300 thousands cubic meters.
Fig. 9 Mountain landslide area and debris flow source material area of Qiuri River gully Debris Flow in the North Section of Sichuan-Tibet Highway in the eastern County.
References [1] Runqiu Huang : Journal of Mountain Science Vol. 8 (2011) No.2, p176~189
[3] Daquan Yao : Journal of Catastrophology Vol. 19 (2004) No. 1, p7~10 (In Chinese)
[4] Yuyang Jiang, Chuan Tang, Taiping Yang: Journal of Catastrophology Vol. 25 (2010) No. 1, p78~83 (In Chinese)
Online since: October 2013
Authors: Li Ping Sun, Ze Fu Zhang, Zheng Liu, Chen Xing Yang
Tab.1: Mechanical indexes of main materials concrete C30/ Mpa fcu ft Ec 26.4 2.3 2.85×104 Rebar HRP400/ Mpa fy fs Es 455 620 2.0×105 CFRP/Mpa ff ft Ef 3793 0.111 2.43×105 Fig.1: Size and reinforcement 2.2 Reinforcement scheme Layers of CFRP Fi=0 Fi= 42.52 Fi= 63.78 1 L0-1 L1-1 L2-1 2 L0-2 L1-2 L2-2 3 L0-3 L1-3 L2-3 4 L0-4 L1-4 L2-4 According to the "reinforced concrete structure design specification"[6], five layers of CFRP is aloud.
Tab.2: The group of the simulated Fig.2: Loading diagram 2.3 The finite element model [7] Using the finite element model SOLID65 + LINK8, analog secondary load part, and to consider the initial crack the selected model analysis, the main material nonlinear analysis.
Externally onded Fier-Reinforced Ploymer for Rehabilitation of Corrosion Damaged Concrete Beams [J].ACI Structural Journal, 2000, 97(5):703~711
Behavior of Pre-cracked RC Beams Strengthened with Caron FRP Sheets [J].Journal of Composites for Construction, 1997, 1(2):63~70 [3] Shin Yeong-Soo, Lee Chadon.
ACI Structural Journal, 2003, 100(2): 231- 239 [4] ANSYS Structural Analysis Guide.
Online since: December 2012
Authors: Xiang Dong Zhang, Peng Tao Zhao, Wen Jun Gu
Tunnel groundwater mainly gather in the weathered strong weathering layer, permeability coefficient K=0.1~0.6m/d, physical mechanical proprieties index of surrounding rock determined indoor test is shown in Table 1 Table.1 Physical and mechanical properties of surrounding rock material Bulk density λ(kg/m3) Poisson's ratio μ Modulus of elasticity E(Pa) Angle of internal friction Φ Cohesion C(Pa) 2400 0.3 96440000 25o 8000000 Monitor and analysis of surrounding rock deformation of tunnel The key point of deformation control of surrounding rock contains loosing stability of working face, loosing stability of vault, sink of arch foot and deformation of surrounding rock during tunnel excavation [6].
Fig5 The modal of numerical analysis Material parameters Because stress and strain of the model in process of analysis obey Mohr-Coulomb standards, thus soil elastic modulus E, Poisson ratio λ, the rock and soil bulk density ρ, internal friction angle φ, cohesive force C are selected in choosing material parameters.
Numerical simulation and analysis of soft rock tunnel[J].Journal of Guangxi University(Natural Science Edition),2010,35(1):73~77.
Journal of the China Railway Society, 2006, 28(3): 92~96.
Journal of Beijing Jiaotong University, 2010, 34(4): 1~5.