scholarly journals Research on Thermal Infrared Camouflage and Energy Saving System of Underground Protection Engineering

2019 ◽  
Author(s):  
Yu Wu ◽  
Pengyu Bi ◽  
Qingjun Jin
Keyword(s):  
Energy Saving ◽  
Thermal Infrared ◽  
Protection Engineering ◽  
Infrared Camouflage

Study of Application of Thermal Infrared Camouflage Materials in the National Defense Engineering

2014 ◽  
Vol 651-653 ◽  
pp. 107-110
Author(s):  
Nai Yan Zhang ◽  
Jun Liu
Keyword(s):  
Differential Scanning Calorimetry ◽  
Glass Transition ◽  
Room Temperature ◽  
Polymer Network ◽  
Thermal Infrared ◽  
Interpenetrating Polymer Network ◽  
National Defense ◽  
Scanning Calorimetry ◽  
Response To Temperature ◽  
Infrared Camouflage

In this paper, a series of semi-interpenetrating polymer network materials based on poly ((2-dimethylamino) ethyl methacrylate)/poly (N, N-diethylacrylamide) (PDMAEMA/PDEA) were synthesized at room temperature. The influence of this additive on the property of resulting PDEA materials was investigated and characterized. The glass transition temperature (Tg) of the semi-IPN materials was observed by Differential Scanning Calorimetry (DSC). Compared to PDEA, the semi-IPN materials exhibited excellent mutative values in response to an alternation of the temperature, and showed fast swelling and deswelling rates in response to temperature change, which suggests that these materials have potential application as thermal infrared camouflage materials.

Evaluation of Ground Thermal Infrared Camouflage Based on Dynamic DEA Model

2014 ◽  
Vol 886 ◽  
pp. 598-602
Author(s):  
Ming Xu Sui ◽  
Xu Liang Lü ◽  
Ling Li ◽  
Xiao Di Weng ◽  
Xiao Peng Li
Keyword(s):  
Decision Making ◽  
Thermal Infrared ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Effect Factors ◽  
The Index System ◽  
Camouflage Patterns ◽  
Decision Making Units ◽  
Infrared Camouflage

Thermal infrared camouflage refers to a series of camouflage patterns for coping with modern thermal infrared reconnaissance. In order to solve the problems that the subjectivity of traditional evaluation methods on ground thermal infrared camouflage and correlation constraint is not easy to test and so on. The effect factors of thermal infrared camouflage were analyzed, the index system of model of ground thermal infrared camouflage was established, and based on it, the dynamic DEA (data envelopment analysis) model was applied to evaluate the ground thermal infrared camouflage. The example shows that the method in this paper can be applied to compare the DMUs (decision making units) efficiently and it can select the best DMU.

Simultaneous thermal infrared camouflage and laser scattering with thermal management based on an ultra-thin metasurface

2021 ◽  
Author(s):  
Xingdong Feng ◽  
Fei Zhang ◽  
Mingbo Pu ◽  
Yinghui Guo ◽  
Ping Gao ◽  
...  
Keyword(s):  
Thermal Management ◽  
Thermal Infrared ◽  
Laser Scattering ◽  
Infrared Camouflage

Research on the Application of Microencapsulated Phase Change Materials to Thermal Infrared Camouflage

2013 ◽  
Vol 328 ◽  
pp. 855-859 ◽  
Author(s):  
En Bing Fu ◽  
Yong Ping Yao
Keyword(s):  
Phase Change ◽  
Phase Change Materials ◽  
Radiant Energy ◽  
Thermal Infrared ◽  
Radiant Intensity ◽  
Microencapsulated Phase Change Materials ◽  
The Law ◽  
The Difference ◽  
Infrared Camouflage

In order to reduce the difference in radiant intensity between background and military targets, such as road or surface of building decorated with concrete, based on the law of Stephen-Boltzmann, the influence of emissivity or temperature on radiant energy was analyzed, phase change materials (PCMs) were employed in adjusting or controlling radiant energy from military targets from the point of temperature, then the low-detective probability of the target was achieved.

Evaluation of Ground Thermal Infrared Camouflage Using Pure Technical and Pure Scale Dynamic DEA Model

2014 ◽  
Vol 989-994 ◽  
pp. 2323-2327 ◽  
Author(s):  
Ling Li ◽  
Xu Liang Lü ◽  
Bing Zhen Li ◽  
Xiao Peng Li ◽  
Huai Xiao Wang
Keyword(s):  
Returns To Scale ◽  
Thermal Infrared ◽  
Time Parameter ◽  
Scale Efficiency ◽  
Dea Model ◽  
New Models ◽  
Set Up ◽  
The Relationship ◽  
Variable Returns To Scale ◽  
Infrared Camouflage

For coping with modern thermal infrared reconnaissance, thermal infrared camouflage is becoming the hotspot of camouflage pattern research. Concerning the traditional methods on evaluating ground thermal infrared camouflage can’t solve the “dynamic” problem and the pure technical as well as pure scale efficiency. This article established new models to figure it out. The new measure introduced time parameter to construct dynamic model, then it set up pure technical dynamic DEA model which supposed it had variable returns to scale. Through the relationship among technical, pure technical and pure scale DEA model, we can get the pure scale dynamic DEA model. Finally, an example was calculated which shows the application of the new models.

Development of fiber-based active thermal infrared camouflage textile

2020 ◽  
Vol 20 ◽  
pp. 100624
Author(s):  
Taekyung Lim ◽  
Sang-Mi Jeong ◽  
Keumyoung Seo ◽  
Jeong Hyeok Pak ◽  
Yong Kyu Choi ◽  
...  
Keyword(s):  
Thermal Infrared ◽  
Infrared Camouflage

Study on Superabsorbent Material in Thermal Infrared Camouflage

2014 ◽  
Vol 941-944 ◽  
pp. 370-373
Author(s):  
Nai Yan Zhang ◽  
Jiang Yu ◽  
Juan Zhang
Keyword(s):  
Chemical Structure ◽  
Monomer Concentration ◽  
Thermal Infrared ◽  
Molar Ratio ◽  
Object Temperature ◽  
Different Temperatures ◽  
Total Monomer Concentration ◽  
Equilibrium Swelling Ratio ◽  
Composition Ratios ◽  
Infrared Camouflage

Objectives, which is motional on the batter field, such as vehicles, tanks, planes, warships, firing cannons, etc. They are all active objects. On the surface of these objects there have very higher temperatures than around background, they have special pictures, and are easy found by thermal infrared reconnaissance systems. In this study, itaconic acid (IA) was co-polymerized with N, N-diethylacrylamide (DEA) monomer to improve the swelling behavior and the total absorbing water. These copolymer materials were prepared by changing the initial DEA/IA molar ratio and total monomer concentration. The chemical structure of materials was characterized by fourier transform infrared (FTIR) spectroscopy. In comparison with the PDEA hydrogel, the equilibrium swelling ratio (ESR) of the materials increase with the increase of IA content in the feed and the swelling dynamics behaviors of the different composition ratios of the P(DEA-co-IA) materials on the different temperatures was investigated in detail. Using the big hot-inertia of water, the superabsorbent material of the object surface is propitious to debase the object temperature, which suggests that these materials have potential application as thermal infrared camouflage materials.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

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