Single-layer atom chip for continuous operation: Design, fabrication and performance

2022 ◽  
Vol 148 ◽  
pp. 107698
Author(s):  
Anton E. Afanasiev ◽  
Alexey S. Kalmykov ◽  
Roman V. Kirtaev ◽  
Anna A. Kortel ◽  
Petr I. Skakunenko ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mengwei Xie

More and more designers and companies in the packaging industry begin to pay attention to research on environmentally friendly packaging design. From studying the additional functions of packaging to starting to study the environmentally friendly materials of packaging, as well as the “zero-pollution” packaging advocated today, the traditional form and mode of packaging has changed. This article aims to study the design of the overall packaging box of environmentally friendly packaging materials and discuss its performance. In this paper, the platform construction method and the modulus definition classification method are used to calculate the positive axis stiffness of the single-layer board. The effect of coating process on the wear resistance of paper-based materials was studied, the wear resistance of box board base paper and coated box board under different temperatures and different humidity conditions was compared, and the optimal design variable value range was set. The experimental results show that after the first level of optimization, the overall mass of the structure is reduced from the initial 39.42 kg to 31.18 kg and the optimization efficiency is 20.90%; the maximum relative deformation of the flap structure has increased from 0.143 mm to 0.198 mm, despite having the maximum tension. The opening displacement has increased, but it still meets the sealing deformation requirements. The design and performance discussion of the overall packaging box of environmentally friendly packaging materials have been completed relatively well.


2020 ◽  
Vol 12 (2) ◽  
pp. 1-20
Author(s):  
Sourav Das ◽  
Anup Kumar Kolya

In this work, the authors extract information on distinct baseline features from a popular open-source music corpus and explore new recognition techniques by applying unsupervised Hebbian learning techniques on our single-layer neural network using the same dataset. They show the detailed empirical findings to simulate how such an algorithm can help a single layer feedforward network in training for music feature learning as patterns. The unsupervised training algorithm enhances the proposed neural network to achieve an accuracy of 90.36% for successful music feature detection. For comparative analysis against similar tasks, they put their results with the likes of several previous benchmark works. They further discuss the limitations and thorough error analysis of the work. They hope to discover and gather new information about this particular classification technique and performance, also further understand future potential directions that could improve the art of computational music feature recognition.


2010 ◽  
Vol 19 (8) ◽  
pp. 083205
Author(s):  
Cheng Feng ◽  
Yan Bo ◽  
Ke Min ◽  
Wang Yu-Zhu

2018 ◽  
Vol 36 (2) ◽  
pp. 155-225 ◽  
Author(s):  
András Gergely

AbstractIn this review, most of the works are attempted to cover about corrosion protection of metals with molecular-tight atomic thin carbon layers of all sorts of graphene derivatives from the very beginning to the latest theoretical and experimental research findings, so as engineering achievements in the field up to date. Although high and tuneable electrical conductivity of graphene is the main feature exploited in majority of the applications such as catalysis, photocatalysis, electrocatalysis, low electrical but high chemical resistivity electrodes in batteries, and ultracapacitors, corrosion protection of metals favours the opposite – good physical separation and electrical insulation. Both of the latter ones lead to durable excellent protection, which can only be ensured by special design and implementation. Thus, the milestones of major hardships both on theoretical and practical sides are delineated similarly as utmost developments in circumventing all problems with an aim to ensure timely transfer from the research phase to successful industry utilisations. Relying on numerous works, this paper gives a comprehensive overview in the subjects of preparation, modification, and use of multiple sorts of graphene in the forms of neat, combined layers, and composite coatings on numerous metals. All performance parameters are given in detail. Chronological order of the article serves the purpose to give the reader a clear picture and an important clue on viability of strategies in the aspects of environmental friendliness, attainable maximum durability, and performance of corrosion protection with graphene films, as well as further advancements in the field expected to occur in the near future.


Author(s):  
Jennifer K. Pratt ◽  
Meghan L. Mallozzi

Fusion bonded epoxy (FBE) coatings have been used on pipelines as protection against corrosion for over 40 years. They have been used as a stand-alone product in single layer systems and as a primer in dual and three layer systems. To achieve optimal performance, current FBE products require application temperatures in excess of 230°C for single layer systems and 200°C for three layer systems. The introduction of high strength steels such as X80, X100 and X120 for use in pipeline construction has presented a challenge to the industry in terms of the availability of suitable coating systems. High strength steels (particularly grades X100 and greater) cannot withstand pre-heat temperatures in excess of 200°C. Exposure to the high heat required when coating with a typical FBE product results in the degradation of some of the key properties of these high strength steels. This paper will discuss the development and performance of a new generation FBE coating that can be applied at temperatures as low as 180°C for single layer systems and as low as 150°C for multi-layer systems. Performance of this new product will be compared to one of the best performing commercially available FBE products applied at 240°C.


2013 ◽  
Vol 446-447 ◽  
pp. 549-552 ◽  
Author(s):  
N.R. Patil ◽  
S.R. Gaikwad ◽  
R.A. Navale ◽  
D.S. Sonawane

The Spiral Coil pump is a non-conventional water pump which can be powered by wind energy or flow energy of river water. It can also be hand driven. It is very useful especially in rural areas for farming and irrigation purposes. Spiral Coil pump comes under the category of a low to moderate lift pump. In the present study, the hand operated experimental setup is designed and constructed to analyze the performance of the spiral coil pump under different parameters. The parameters considered are submerged ratios, rotational speed, layers of coils. For setup of 0.8 m wheel diameter with 7 number of coils, the maximum head obtained is in between 4.3 m to 5 m with maximum discharge 1200 lit/hr for single layer and 2280 lit/hr for double layer of the coil with efficiency range 20% to 74%.


1999 ◽  
Vol 581 ◽  
Author(s):  
Ch. Brugger ◽  
S. Tasch ◽  
M. Lal ◽  
P.N. Prasad ◽  
G. Leising

ABSTRACTWe have investigated the photophysical properties of surface capped CdS and CdS:Mn nanoparticles in the form of spin coated thin films of the pure nanoparticles and nanoparticle -polymer blends. The organic capping reagent was p-thiocresol. Electroluminescence (EL) devices were fabricated and characterized by their current/voltage characteristics and EL emission performance. This is to our knowledge the first report on Mn doped CdS nanoparticles applied in EL devices with a single layer device structure (ITO/CdS:Mn/Al). Photoluminescence (PL) and PL excitation measurements were performed on CdS:Mn nanoparticles in pyridine dispersion and on thin films. The PL excitation spectrum shows a narrow peak at 390nm. Excitation at this wavelength yields a broad PL spectrum spanning from about 450 to 700nm, which is dominated by a strong emission band at 585nm. This emission is attributed to transitions involving Mn levels in previous works. The EL emission peak is shifted to the red compared to the PL emission spectra. The characteristics and performance of these new types of EL devices will be presented and discussed.


Author(s):  
Sarat Chandra Nayak ◽  
Bijan Bihari Misra ◽  
Himansu Sekhar Behera

Financial time series forecasting has been regarded as a challenging issue because of successful prediction could yield significant profit, hence require an efficient prediction system. Conventional ANN based models are not competent systems. Higher order neural networks have several advantages over traditional neural networks such as stronger approximation, higher fault tolerance capacity and faster convergence. With the aim of achieving improved forecasting accuracy, this article develops and evaluates the performance of an adaptive single layer second order neural network with GA based training (ASONN-GA). The global search ability of GA has been incorporated with the better generalization ability of a second order neural network and the model is found quite capable in handling the uncertainties and nonlinearities associated with the financial time series. The model takes minimal input data and considered the partially optimized weight set from previous training, hence a significant reduction in training time. The efficiency of the model has been evaluated by forecasting one-step-ahead closing prices and exchange rates of five real stock markets and it is revealed that the ASONN-GA model achieves better forecasting accuracy over other state of the art models.


2007 ◽  
Vol 24 (6) ◽  
pp. 1545-1548 ◽  
Author(s):  
Li Xiao-Lin ◽  
Ke Min ◽  
Yan Bo ◽  
Wang Yu-Zhu

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