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Online since: October 2010
Authors: Bo Chen
Table.2 Thermal physical parameters of materials Material Thermal conductivity [] Specific heat capacity [] Density [] Aluminum 121.4 920.9 2780 Copper 385 385 8900 Results and Discussion Thermal Results of Analysis and Discussion.
Acknowledgements This paper is supported by the Knowledge Innovation Program of the Chinese Academy of Sciences.
The help about analysis model from Li Kai in Academy of Opto-electronics Chinese Academy of Sciences is gratefully acknowledged.
Li: Journal of Zhengzhou University of Light Industry (Natural Science), Vol. 22(2007), p.75 (In Chinese) [3]G.C.
Wang, Tongmin Jiang: Journal of Beijing University of Aeronautics and Astronautics, Vol. 32(2006), p.716 (In Chinese) [4]Q.
Online since: January 2012
Authors: Lian Xiang Ma, Yuan Zheng Tang, Man Ding, Yan He
The EMD method is based on the linear response theory, using the Einstein or Green-Kubo formula to calculate thermal conductivity of bulk materials.
Many groups have studied the thermal conductivity of SiO2 materials by molecular dynamics simulations.
The molecular structures of amorphous and crystalline SiO2, which are built from SiO4 tetrahedron by Materials Studio program [9], are shown in figure 1.
Shintani, Computational Materials Science, 39 (2007) 334 [8] Information on http://lammps.sandia.gov [9] Information on http://accelrys.com/products/materials-studio/ [10] J.R.
Maruyama, International Journal of Thermal Sciences, 44 (2005) 547
Online since: August 2013
Authors: Dong Ping Qiao, Xiao Juan Liu, Hao Li
The production process is an important part of manufacturing enterprise activities, beginning in the order received, through the manufacturing of raw materials and purchased part, ending at finished products warehouse.
In the production cycle, material flow is formed among different departments and ultimately rough and raw materials are converted into qualified products.
Industrial Engineering Journal, Vol. 13 (2010), p. 95-100 [3] Oliver Schönherr, Oliver Rose.
Journal of System Simulation,vol. 18 (2006),p. 1483-1488 [7] S.
Steiner, A practical guide to SysML: the systems modeling language, Elsevier Science (2008).
Online since: August 2014
Authors: Nair Gomesh, M. Irwanto, N. Mariun, Y. M. Irwan, M. R. Mamat, U. Hashim, Syafinar Ramli
Natural dyes are also abundant, easily extracted and safe materials [7].
El-Ghamri, “PlantSeeds-Based Dye-Sensitized Solar Cells”, Materials Sciences and Applications, 2013, 4, 516-520 [11] H.
Ndamitso,” Photoelectric Characterization of Dye Sensitized Solar Cells Using Natural Dye from Pawpaw Leaf and Flame Tree Flower as Sensitizers”, Materials Science and Applications 3 (2012) 281-286
Sharma, “Dye-sensitized solar cell based on Rose Bengal dye and nanocrystalline “, Solar Energy Materials & Solar Cells 92 (2008) 909-913
Tennakone, “Shiso leaf pigments for dye-sensitized solid-state solar cell”, Solar Energy Materials & Solar Cells 90 (2006) 1220-1226
Online since: August 2011
Authors: You Sheng Xu, Jiu Gu Shao, Yang Liu
Jia: Polymer Materials Science Engineering Vol. 26 (2010), p. 39, in Chinese
Zong: Polymer Materials Science Engineering Vol. 26 (2010), p.125, in Chinese
Xu: International Journal of Modern Physics C Vol. 17 (2006), p.771
Gladrow: Journal of Statistical Physics Vol. 79 (1995), p. 1023
Succi: International Journal of Modern Physics C Vol. 9 (1998) p. 1405
Online since: June 2013
Authors: Yu Shu Xie, Jun Fang, Li Feng Xie, Jia Guo, Chen Zheng
A 4340 steel is used to model the material of container.
Journal Of Ordnance Engineering College, 2001, 13(3)
Journal of Ordnance Engineering College, 2002,14(2)
Journal of Beijing Institute of Technology, 1999,19(S1)
Beijing: Science Education Book press, 2003.
Online since: May 2019
Authors: Naphat Albutt, Suejit Pechprasarn, Phitsini Suvarnaphaet, Wattapong Pinyo
The carbon-based nanodots usually prepared by mean of such as purification or isolation process of short carbon nanotubes to nanotubulars [9], chopping graphene sheet or graphene-based materials into nano-sized fragments [10, 11].
Acknowledgements The authors thank the Faculty of Biomedical Engineering, Rangsit University and the division of Science, Faculty of Science and Technology, Rajamangala University of Technology Phra Nakhon (RMUTP).
Pechprasarn, Graphene-Based Materials for Biosensors: A Review, Sensors (Basel) 17(10) (2017)
Qu, Recent advances in graphene quantum dots for sensing, Materials Today 16(11) (2013) 433-442
Feitosa, Novel and Fast Microwave-Assisted Synthesis of Carbon Quantum Dots from Raw Cashew Gum, Journal of the Brazilian Chemical Society (2015)
Online since: July 2017
Authors: Wei Fang Chen, Rui Jun Liang, Yu Zhi Chen, Ting Feng
The rigidity of workpiece varies with the removal of material.
The workpiece material is TC4 titanium alloy with Young’s modulus of 1080GPa and Poisson’s ratio is of 0.33.
Acknowledgement The research work presented in this paper is supported by the National Natural Science Foundation of China (Grant No.51575272).
Melkote, Iterative fixture layout and clamping force optimization using the genetic algorithm, Journal of Manufacturing Science and Engineering, 124 (2002) 119-125
[3] Ratchev S, Govender E, Nikov S et al, Force and deflection modelling in milling of low-rigidity complex parts, Journal of Materials Processing Technology, 143 (2003) 796-801
Online since: December 2012
Authors: Roman Ružarovský, Nina Danišová, Karol Velíšek
Karol Velíšek, CSc.3,c 1Institute of Production Systems and Applied Mechanics, Faculty of Material Science and Technology in Trnava, Slovak University of Technology in Bratislava, Razusova 2, 917 24 Trnava, Slovak Republic 2 Institute of Production Systems and Applied Mechanics, Faculty of Material Science and Technology in Trnava, Slovak University of Technology in Bratislava, Razusova 2, 917 24 Trnava, Slovak Republic 3 Institute of Production Systems and Applied Mechanics, Faculty of Material Science and Technology in Trnava, Slovak University of Technology in Bratislava, Razusova 2, 917 24 Trnava, Slovak Republic aroman.ruzarovsky@stuba.sk, bnina.danisova@stuba.sk, ckarol.velisek@stuba.sk Keywords: Assembly process, Assembly cell, Intelligent assembly, Sensory, Design.
Fig. 1 Main units of the intelligent assembly cell Material flow of final product is included into main phases: semi-product storage and transport to the assembly device, particular elements manipulation and orienting, assembly to one entity as final assembly product, final product manipulation and storage to next expedition.
The assembly group analyze is divided to main operations: size, weight, shape, parts quantity, material, assembly base and assembly joints analyses.
References [1] Danišová, N. & Majerník, J.: Sensors design in the shelf storage system, in: Annals of Faculty of Engineering Hunedoara - Journal of Engineering, Tom VIII, Fasc 3, p. 367-370 ISSN 1584-2673 (2010) [2] Velíšek, K. et al.: Assembly machines and devices, in: STU, ISBN 80-227-2187-5, Bratislava (2005) [3] Hrušková, E. & Matúšová, M.: Flexibility approach to effectiveness increasing of assembly cell.
In: Journal of Production Engineering, Vol. 14, Number 1, p. 31-34 ISSN 1821-4932 (2011) [5] Košťál, Peter - Mudriková, Andrea - Holubek, Radovan: Layout design of flexible manufacturing system.
Online since: December 2014
Authors: Zhu Ying Li, Xiang Yu, Wen Kang Cao, Ye Liu
And the scientific fruit related to this research has been evaluated by American Science magazine as one of the year’s top ten scientific and technology development in 2006.
Science, 2006, 312(5781): 1780-1782
Science, 2006, 314(5801): 977-980
Journal of Functional Materials, 2013, 44(15): 2235-2238
Journal of Functional Materials, 2014, 45(11): 11027-11031