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Online since: December 2023
Authors: Dongwook Kim, Sung Gul Hong
Based on this study, it is suggested that big data learning with various learning structures can be possible using a small number of experimental data of newly developed materials, and furthermore, it can be easier to formulate the structural properties of construction materials.
Journal of materials science 51 (2016): 6517-6551
International Journal of Civil Engineering, 19, 1179-1194
Journal of aerospace engineering, 24(2), 154-161
Applied Sciences, 9(3), 614
Online since: March 2015
Authors: Yue Long Ma, Jia Hai Wei, Ai Qiong Pan, Jun Liu, Zi Fan Huang
Journal of equipment manufacturing technology, 2014, (5) : 139-141
Journal of computer integrated manufacturing system, 1996, 6(2): 21-25
Journal of mold industry, 2007,33(2):53-57
Journal of computer-aided design and graphics, 2006, 19 (3) : 456-463
Journal of mechanical science and technology, 201, 29 (3) : 399-403.
Online since: June 2015
Authors: Bing Zhang, Shu Yuan Li, Jia Jing Jiang
Brogaard, LK[8] makes LCA and comparison for CO2-equivalent emissions of different materials based on material recycling databases.
Material Input Flow mainly includes two parts: Materials output from previous operation step, and new additive materials added.Material produced by current operation step can be regarded as Material Output Flow.
Material Output Flow also includes two parts: Materials that can be used for next operation step, and material that can’t be recycled.
Here, new additive materials added in Material Input Flow must also be regarded as LCA input elements.
These MNs outputing from certain PL can be divided into producing materials that can be used in next operation step and disposal material.
Online since: October 2024
Authors: Yurii Senchykhin, Vadym Avetisian, Sergey Ragimov, Konstantin Ostapov
Materials.
Materials Science Forum. 968 (2019) MSF 361–367
IOP Conference Series: Materials Science and Engineering. 1021/1 (2021) 012031
Materials Science Forum. 968 (2019) 355–360
Materials Science Forum. 1038 MSF (2021) 486–491.
Online since: July 2013
Authors: Yan Xia Wang, Chun Hui Bao, Chun Ling Fan
Fig.4 Material Thickness Measurement 4.
Results and Analysis Take 10Kg material for dynamic weighing.
NOTE: This work is supported by Shandong Nature Science Funds (ZR2012FQ023). 6.
Journal of Software, 2003,14 (7): 1282-1291
Adaptive weighted fusion algorithm of multi-sensor data based on improved particle swarm optimization Journal of Minjiang College, 2011. 32(5):67-71.
Online since: April 2018
Authors: Muhammad Firdaus Mohd Nazeri, Nordarina Jumali, Mohd Hafiz Zainol, Ahmad Azmin Mohamad
Effect of Al Additions on Corrosion Performance of Sn-9Zn Solder in Acidic Solution NORDARINA Jumali1,a, MOHD Hafiz Zainol1,b, Ahmad Azmin Mohamad2,c and Muhammad Firdaus Mohd Nazeri1,d,* 1Centre of Excellent Geopolymer & Green Technology (CEGeoGTech), School of Materials Engineering, Universiti Malaysia Perlis, 02600 Jejawi, Arau, Perlis, Malaysia 2School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia anordarina@yahoo.com, bhafizzainol@unimap.edu.my, caam@usm.my, dfirdausnazeri@unimap.edu.my Keywords: Corrosion, Potentiodynamic Polarization, Sn-9Zn, Sn-9(5Al-Zn), Microstructure.
Additions and blending of new materials with Sn-Zn based solders may increase the chance and prospect of Sn-Zn based solder to replace Sn-Pb based solders.
Suganuma, Ti addition to enhance corrosion resistance of Sn–Zn solder alloy by tailoring microstructure, Journal of Alloys and Compounds, 644 (2015) 113-118
Mohamad, Corrosion resistance of ternary Sn-9Zn-xIn solder joint in alkaline solution, Journal of Alloys and Compounds, 661 (2016) 516-525
Suganuma, The role of Zn precipitates and Cl− anions in pitting corrosion of Sn–Zn solder alloys, Corrosion Science, 92 (2015) 263-271.
Online since: July 2022
Authors: Stefan Carosella, Peter Middendorf, Florian Helber
Dry fibers or fabrics do not possess an inherent tack, when compared to prepreg materials.
DFP) is the adhesion of reinforcement materials on tooling surfaces, also referred to as first ply adhesion.
Figure 1: Automated Composite Manufacturing (a) ATL [21] (b) AFP [22] (c) APP [23] Materials and Methods.
Materials.
Lee, Tackification of Textile Fiber Preforms in Resin Transfer Molding, Journal of Composite Materials, 35 (21), pp. 1954-1981, 2001, DOI: https://doi.org/10.1177/002199801772661452 [15] R.W.
Online since: March 2022
Authors: Sriram Jyothsna, Allam Mahesh Kumar, G. Manjula, D. Sammaiah
Material and Methods 2.1 Sample collection: Aegle marmelos L. leaves and bark samples were collected from Warangal district, Telangana, India.
Springer Science & Business Media (2007)
Ko, Status of essential trace minerals and oxidative stress in viral hepatitis C patients with nonalcoholic fatty liver disease, International journal of medical sciences Int.
Lakshmi Narayana, Energy Dispersive X-Ray Fluorescence Elemental Analysis of Roasted and Non-Roasted Ethiopian Coffee Specialty, IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) 12 (4) (2018) 51-70
Marder, The metallurgy of Zinc-coated steel, Progress in materials sciences 10(1) (2000) 191-271
Online since: September 2011
Authors: Jun Ru Yang, X.F. Wang, C.Z. Huang, Z.Q. Li, G.C. Wang
As it is mainly suitable for the complex crack in homogeneous materials, it is unreasonable to be used to study the interface crack propagation in heterogeneous materials.
The critical energy release rates of the two side materials should be considered.
The materials of the clad and substrate are ternary boride cermet 5Cr2Ni08C and Q235 respectively.
Table 1 Property parameters of materials of the part[7-9] Materials Elastic modulus [GPa] Poisson ratio Shear modulus [GPa] 5Cr2Ni08C 237 0.25 94.8 Q235 212 0.288 82.3 The material critical energy release rate is generally a constant to a certain material.
Xiao: Tool Materials and their reasonable choices(Version 2).
Online since: April 2014
Authors: Li Shan Cui, Zhen Yang Liu, Jiang Jiang, Cun Yu, Xiao Bin Shi, Fang Min Guo, Zhong Qiang Wang, Yang Ren, Da Qiang Jiang
Influence of Annealing and Pre-straining on the Coupling Effect of a TiNi-Nb Nanowire Composite Zhenyang Liu1,a, Lishan Cui1,b*, Cun Yu1,c, Jiang Jiang1,d, Da qiangJiang1,e, Xiaobin Shi1,f, Fangmin Guo1,g, Zhongqiang Wang1,h and Yang Ren2, i 1State Key Laboratory of Heavy Oil Processing and Department of Materials Science and Engineering, China University of Petroleum, Beijing 102249, China 2X-ray Science Division, Argon National Laboratory, Argonne, Illinois 60439, USA afredliu123@163.com, blishancui63@126.com, cyucun2127@gmail.com, dsuperjj1981@163.com, edq80jiang@126.com, fshyllen@sina.com, gjunezxc@163.com, hzhongqiang0930@sina.com, iren@aps.anl.gov Keywords: TiNi, Nanowire, Composite material, Coupling effect, Pre-treatment.
Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No.
Saburi, Shape memory materials, (1999) 49-96
Li, Science, 339 (2013) 1191-1194
Karnthaler, Journal of the Mechanics and Physics of Solids, 55 (2007) 419-444.