JIANG Chunlan
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Name
JIANG Chunlan
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Title
Professor
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Address
Room 241, Teaching building No.3, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
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Tel
+86-10-68912758
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Email
jiangchunwh@bit.edu.cn
Research Interests
1. Ammunition system and effective damage technique
2. Networked smart ammunition technique
Academic Achievements
1．xxx ammunition technology, 2015.12, The second prize of national technical invention，First author
2．xxx weapon dispenser, 2013.12, The second prize of national defense science and technology progress, Fifth author
3．xxx anti hard target ammunition technology, 2013.12, The first prize of defense technical invention, First author
4．xxx submunition fuze, 2013.12, The third prize of national defense science and technology progress, Fourth author
5．xxx weapon, 2012.12, The first prize of national defense science and technology progress, Fifth author
6．Research of xxx ammunition technology, 2009.12, The second prize of national defense science and technology progress, First author
[1] Li Y, Wang ZC, Jiang CL, et al. Experimental study on impact-induced reaction characteristics of PTFE/Ti composites enhanced by W particles, Materials, 10(2), 175, 2017. (SCI)
[2] Sun BL, Jiang CL, Li M. Fuzzy neural network-based interacting multiple model for multi-node target tracking algorithm. Sensors, 16, 11, 2016. (SCI)
[3] Li Y, Jiang CL, Wang ZC, et al. Experimental study on reaction characteristics of PTFE/Ti/W energetic materials under explosive loading. Materials, 9, 11, 2016. (SCI)
[4] Li Q, Jiang CL, Wang ZC. Dynamic Mechanical Properties and Constitutive Relationship of Fine-Grained Al/Fe Composite Materials with Rich Aluminium. Rare Metal Materials and Engineering, 44(5), 1124-1128, 2015. (SCI)
[5] Luo PG, Wang ZC, Jiang CL, Mao L, et al. Experimental study on impact-initiated characters of W/Zr energetic fragments, Material and Design, 84, 72-78, 2015. (SCI)
[6] Mao L, Jiang CL, Wang C, et al. Optimization design method of fragmenting warfare based on improved genetic algorithm, Acta Armamentarii, 36(3), 457-462, 2015.
-
NameJIANG Chunlan
-
TitleProfessor
-
AddressRoom 241, Teaching building No.3, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
-
Tel+86-10-68912758
-
Emailjiangchunwh@bit.edu.cn
Research Interests
1. Ammunition system and effective damage technique
2. Networked smart ammunition technique
Academic Achievements
1．xxx ammunition technology, 2015.12, The second prize of national technical invention，First author
2．xxx weapon dispenser, 2013.12, The second prize of national defense science and technology progress, Fifth author
3．xxx anti hard target ammunition technology, 2013.12, The first prize of defense technical invention, First author
4．xxx submunition fuze, 2013.12, The third prize of national defense science and technology progress, Fourth author
5．xxx weapon, 2012.12, The first prize of national defense science and technology progress, Fifth author
6．Research of xxx ammunition technology, 2009.12, The second prize of national defense science and technology progress, First author
[1] Li Y, Wang ZC, Jiang CL, et al. Experimental study on impact-induced reaction characteristics of PTFE/Ti composites enhanced by W particles, Materials, 10(2), 175, 2017. (SCI)
[2] Sun BL, Jiang CL, Li M. Fuzzy neural network-based interacting multiple model for multi-node target tracking algorithm. Sensors, 16, 11, 2016. (SCI)
[3] Li Y, Jiang CL, Wang ZC, et al. Experimental study on reaction characteristics of PTFE/Ti/W energetic materials under explosive loading. Materials, 9, 11, 2016. (SCI)
[4] Li Q, Jiang CL, Wang ZC. Dynamic Mechanical Properties and Constitutive Relationship of Fine-Grained Al/Fe Composite Materials with Rich Aluminium. Rare Metal Materials and Engineering, 44(5), 1124-1128, 2015. (SCI)
[5] Luo PG, Wang ZC, Jiang CL, Mao L, et al. Experimental study on impact-initiated characters of W/Zr energetic fragments, Material and Design, 84, 72-78, 2015. (SCI)
[6] Mao L, Jiang CL, Wang C, et al. Optimization design method of fragmenting warfare based on improved genetic algorithm, Acta Armamentarii, 36(3), 457-462, 2015.