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Online since: October 2008
Authors: Guang Jun Liu, Guang Yu Tan, Yu Hua Zhang
The workpiece material is 3Cr1Mo1/4V and the tool specification is 16×16 square index-able milling insert including the traditional flat rake face milling insert and the waved edge milling insert which is developed by Harbin University of Science and Technology.
Xu: Journal of Hubei Automotive Industries Institute.
[2] Deshayes L: Journal of Material Processing Technology, Vol. 190 (2007), pp. 251
Yuan: Journal of Harbin Institute of Technology.
Li: Chinese Journal of Mechanical Engineering, Vol. 40 (2004), pp. 106 (in Chinese)
Online since: May 2011
Authors: Mao Zhong An, Ying Wang, Jin Qiu Zhang, Hong Tao Chu
Materials synthesis.
The synthesized conditions for the separation materials No.
Prior to adsorption measurements, all materials were vacuum dried for 10 h at 200℃ to remove moisture and impurities absorbed on the surface of the materials.
Acknowledgments The authors gratefully appreciate the financial support by the National Natural Science Foundation of China (Grant No. 50774025), Natural Science Foundation of Hei Longjiang Province (Grant No.B200911) and Young Science Foundation of Qiqihar University(Grant No. 2010k-M17).
[7] D.Lian,Q.H.Zhang, X.M.Luo, F.Liu and H.M.Liu:Journal of Instrumental Analysis.
Online since: April 2022
Authors: Ramachandran Velmurugan, Mahesh Unnam, Shanmugam Kumar
Chemical Structure of the materials used for the preparation of the novel shape memory polymer.
Wu., “Infrared Light-Active Shape Memory Polymer Filled with Nanocarbon Particles”, Journal of Applied Polymer Science,114: 2455-2460, 2009
Review of progress in shape-memory polymers, Journal of materials chemistry, 17 (2007) 1543-1558
[8] Hu, J., and Chen, S., A review of actively moving polymers in textile applications, Journal of Materials Chemistry, 20 (2010) 3346–3355
Journal of Intelligent Material Systems and Structures,26 (2018) 2164-2176
Online since: April 2021
Authors: A.V. Smirnova, Lyudmila G. Kolyada, Elena V. Tarasyuk
Development of New Composite Materials from Tetra Pak Packaging Waste L.G.
Karaboyaci, Process design for the recycling of Tetra Pak components, European Journal of Engineering and Natural Sciences. 2 (2017) 126-129
Journal of Thermoplastic Composite Materials. 29 (2016) 1601-1610
Science progress. 101 (2018) 161-170
Derkach, Processing of combined materials containers and packages, Container and packing. 1 (2004) 25-26
Online since: July 2021
Authors: T.N. Ivanova, Andrey V. Kochetkov, Oleg V. Zakharov, Ludmila V. Seliverstova
Ivanova, Alternative machining of materials liable to crack propagation, Materials Today: Proceedings. 19 (2019) 2304-2306
Okunkova, On productivity of laser additive manufacturing, Journal of Materials Processing Technology. 261 (2018) 213-232
Ruzanov, Technique of Decomposition of Form Deviation for Freeform Surfaces, Key Engineering Materials. 685 (2016) 334-339
Series: Materials Science and Engineering. 93 (2015) 012063
Addy, Design and Development of a Delta 3D Printer Using Salvaged E-Waste Materials, Journal of Engineering (2019) 5175323
Online since: September 2015
Authors: Noriyasu Oguma, Tatsuo Sakai, Akiyoshi Nakagawa, Benning Lian, Takashi Kondo, Masahiro Jono, Douglas P. Romilly
Zhao, Effect of inclusion size and location on very- high-cycle fatigue behavior for high strength steels, Materials Science and Engineering, A, 558 (2012), 234-241
Sakai, Review and prospects for current studies on very high cycle fatigue of metallic materials for machine structural use, Journal of Solid Mechanics and Materials Engineering, 3, (2009), 425-439
Cashman, Competing failure modes and complex S-N curves in fatigue of structural materials, International Journal of Fatigue, 32, (2010), 482-491
Sakai et al., Standard evaluation method of fatigue reliability for metallic materials- standard regression method of S-N curves, JSMS-SD-11-07, The Society of Materials Science, Japan (JSMS); 2007
Jono et al., Data book on fatigue crack growth rates of metallic materials, The Society of Materials Science, Japan (JSMS), Kyoto, (1983), 318-321.
Online since: November 2013
Authors: Ahmad Razlan Yusoff, Mohammad S. Reza, Muhammad Adib Shaharun
Abstract: Titanium is difficult-to-cut materials due to its poor machinability and thermal conductivity when machining at high cutting speed.
Transaction ASME Journal of Engineering Industry, (1991), 113, 160-168
Analytical stability prediction and design of variable pitch cutter, Journal of Manufacturing Science and Engineering, Transaction of the ASME 121 (1999) 173
An analyical design method for milling cutter with non-constant pitch to increase stability, part 1: theory and part 2: application, Journal of Manufacturing Science and Engineering 125(2003) 29-38
Journal of Sound and Vibration, (2008), 317(3-5), 664-686
Online since: June 2012
Authors: Wei Chen, Jie Li, Yu Zhu Zhang, Hong Wei Xing, Yue Long, Gao Liang Li, Jin Hu Wu, Jian Fei Wu
(Natural Science Edition),2005, 4(37):450-454
Journal of Chemical Engineering of Chinese Universities, 2007, (1): 60-63
Journal of China University of Mining&Technology, 2000, 29(2):136-139
Chemical Engineering Science, 2002, 57(14): 2635-2640
Chemical Engineering Science, 2004, 59(2): 437- 447.
Online since: February 2011
Authors: Yu Jen Hu, Yuh Hua Hu, Jyh Bin Ke
(2) Verify the validity of the proposed method Materials and Methods A、 Materials Genes are considered to be mostly neutral, and it provided a more reliable indications of genetic relatedness than variation in genes that are subjective to strong selection[14].
References [1] Encyclopedia of Forensic Science DNA Republic of China, http://www.cib.gov.tw/science/Science0201.aspx?
Hayes, The Invention of the Genetic Code, Journal of American Scientist-Computing Science, Jan.
Adleman, Molecular Compution of Solutions to Combinatorial Problems, Journal of Science 1021-1024, VOL. 266, 1994
Ng, Protein Structural Classes Prediction via Residues Environment Profile, Asian Journal of Health and Informatiom Sciences, Vol. 1 No.3, pp.332-342, 2006
Online since: September 2014
Authors: Bang Sheng Xing, Le Xu
It builds a sample variable space partitioning model according to the original materials’ tensile strength.
During the cold rolling process, original materials are subjected to repeated rolling deal, and subjected to an integrated complex constraint.
Dividing Variable Space according to Original Materials’ Tensile Strength When predicting the mechanical performance of cold rolled ribbed steel bars, if it builds a RBP neural network prediction model in the whole space range of original materials’ tensile strength, which equivalent of solving global extreme of nonlinear function between the original materials’ tensile strength and product performance parameters, it is likely to fall into local extreme and causes the fail of network’s training.
Luo: Optimization Theory Methods and Solving Software (Science Press, China 2006) (In Chinese) [4] X.H.
Wang: Chinese Journal of Chemical Engineering, (2007) No.2, pp. 240-246.