Search results

Intrinsic factors 1) Material properties.
From tribology aspect, under the same working conditions, materials with excellent antifriction and abrasion resistance properties can reduce the failure frequency greatly.
Wear and fatigue failures are two main failure types for most materials. 2) Surface properties.
Chinese Journal of Aeronautics.
Tribology: the science of keeping bearings running.

Introduction GaN and related materials (III-Ns) continue to mature despite the lack of a native substrate to permit homoepitaxial growth of device layers.
More advanced device technologies based on III-N materials such as lasers, UV detectors and emitters, high power rf devices for higher frequency applications, and power switching devices are poised for success due to advances in heteroepitaxial approaches and the expanded use of SiC substrates, a result of their increased availability and improved quality.
If this is the case, then reducing the number of nucleation sites appears to be one approach for making larger-grained material.
Recent work suggests that through elimination of surface steps and screw dislocations in the SiC (which act as a source of surface steps), III-N films can be deposited with quality equal to or better than that of free-standing GaN substrate materials.
Sun , et al.: Journal of Applied Physics Vol. 95 (3) (2004), p. 1450. 23.

[3] Fig. 1 Schematic of friction spot joining process Fig. 2 Schematic of friction spot joining process Experimental procedure Materials Preparation.
Chemical composition and mechanical properties of AA5052 & AA6111 Chemical composition (wt %) Materials Mg Si Cr Mn Cu Zn Fe Al AA5052-H32 2.6 0.25 0.20 0.10 0.10 0.10 0.40 Bal.
Mechanical properties Materials Ultimate tensile strength (MPa) Yield strength (MPa) Elongation (%) AA5052-H32 228 193 12 AA6111-T4 280 156 28 Experimental conditions.
The grain size in the stirred zone is about three times smaller than that in the base metal and in the HAZ is about one point two times bigger than that in the base metal two of materials 3.
Fujimoto : Journal of Light Metal Welding and Construction, Vol. 43 (2005), No. 9, pp. 23-33

They all display a homogeneous jagged step front which is the sign of single domain 3C-SiC material [16].
In the framework of a European program called MANSiC and starting next year, these thin and thick 3C materials will be characterized and processed for devices fabrication.
Jacquier: New Journal of Chemistry Vol.28(8) (2004), p.889 [6] M.
Monteil: Diamond and Related Materials (2006), in press [7] M.
Monteil: Materials Science Forum Vol. 483-485 (2005), p.421 [15] M.

Ramadevi2,b, Rajat Amat3,c, Prabira Kumar Sethy4,d*, Santi Kumari Behera5,e and Sunil Mallick6,c 1Department of Electronics, Sambalpur University, Jyoti Vihar, Burla 768019, India 2Computer Science and Engineering Department, PVP SIDDHARTHA Institute of Technology, Vijayawada, India 3Department of ECE, SUIIT, Sambalpur University, Jyoti Vihar, Burla 768019, India 4Department of Electronics, Sambalpur University, Jyoti Vihar, Burla 768019, India 5Department of CSE, VSSUT Burla 768018, India 6Department of ECE, SUIIT, Sambalpur University, Jyoti Vihar, Burla 768019, India ashishirprasaddash98@gmail.com, bK.ramakarthik@gmail.com, camatrajat4@gmail.com, dprabirsethy.05@gmail.com, eb.santibehera@gmail.com, fmallicksunil77@gmail.com Keywords: Wafer, Defect identification, Resnet, Support vector machine, CNN.
Materials and Methodology About Dataset The dataset of wafer defects was obtained from the Kaggle website, comprising 54.02k images.
Fauzi, Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning, Journal of Telecommunications and Information Technology. (2022) [2] M.
Lee, Inspection and classification of semiconductor wafer surface defects using CNN deep learning networks, Applied Sciences, 10 (2020) 5340
[4] C.Phua and L.B.Theng, Dladc: Deep learning based semiconductor wafer surface defects recognition, IAENG International Journal of Computer Science, 49(2022) 20-30

Introduction Natural fibres are becoming interesting alternative for synthetic fibres as reinforcement in polymeric composite materials thanks to their renewable origin, relative high specific strength and modulus, light weight and low price.
Recent developments in natural fibres such as jute, sisal, coir, flax, hemp, banana, etc. permit using these materials as reinforcement [1,2,3].
Materials and Experimental Procedures Materials.
Gassan, Composites reinforced with cellulose based fibres, Progress in Polymer science, vol. 24 (1999), p. 221-274 [2].
Kessler, Designing natural fibres for advanced materials, presented at The fifth international conference on woodfibre-plastic composites

Design of an E-Learning Based on Service Software Bus Shanxiong Chen1, a and Maoling Pen 2,b 1College of Computer and Information Science Southwest University, Chongqing, China 2Chongqing City Management College, Chongqing, China acsxpml@163.com, bpmlchongqing@163.com Key words: service-oriented architecture; service software bus; E-Learning; overall design Abstract.
It can organically integrate these materials to form rich, vivid, lively and more suitable for self-learning or classroom to support teaching, multimedia courseware.
Main functions of curriculum development system includes template editor, text editor, equation editor, material management, video editor, PPT conversion, part management, real-time preview, edit questions in JSP forms, user management, course management and authorization management
Tsiatsos: E-Learning through distributed virtual environments, International Journal of Human-Computer Studies, vol. 24, 2001, pp. 175-199
[6] Qi Wei and Jian-xing Liao: Research and Design of Data Service Bus Based on SOA, Computer Science, vol. 35, 2008, pp. 125-127

Tosun, The effect of the combustion channels on the compressive strength of porous NiTi shape memory alloy fabricated by SHS as implant material, Current opinion in solid state and materials science doi:10.1016/j.cossms.2009.07.002
Zheng, Properties of Porous TiNbZr Shape Memory Alloy Fabricated by Mechanical Alloying and Hot Isostatic Pressing, Journal of Materials Engineering and Performance 20 (2011) 783-786
Bassani, A Tuissi, Processing of Shape Memory CuZnAl Open-cell Foam by Molten Metal Infiltration, Journal of Materials Engineering and Performance 18 (2009) 484-489
Tuissi, Functional Characterization of Shape Memory CuZnAl Open-Cell Foams by Molten Metal Infiltration, Journal of Materials Engineering and Performance 20 (2011) 544 – 550
Paperskii, Structure and properties of titanium nickelide materials made by self-propagating high-temperature synthesis, Soviet Physics Journal 20 (1977) 1631-1633

Experimental Main Materials.
Ultra-early strong polyether monomers were purchased from Levima Advanced Materials Corporation (Shandong, China), with average molecular of 2400 Da. 2-acrylamine-2- methylpropyl sulfonic acid (AMPS) and acrylic acid (AA) were received from RBL Co., Ltd.
Zhou, Present situation and developmental trends of polycarboxylate-type superplasticizers, Materials China, 28(2009) 36-45
Kim, Effects of poly{carboxylate-g-(ethyleneglycol)methyl ether} on the physical properties of cement paste, Eurasian Chemico-Technological Journal, 7 (2005) 47-55
Abnormal gelation phenomenon of class G oil well cement incorporating polycarboxylic additives and its countermeasures, Construction and Building Materials, 149(2017) 279-288

Murch1, f 1The University Centre for Mass and Thermal Transport in Engineering Materials Priority Research Centre for Geotechnical and Materials Modelling School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia 2M.
It can dramatically change the composition and thus potentially change the properties of engineering materials that are subjected to in-service temperature gradients.
Ott, Science 164 (1969) 297
Schelling, Computational Materials Science 50 (2011) 2363-2370
Shewmon, Diffusion in Solids, Minerals, Metals and Materials Society, Warrendale, Pennsylvania, 1989