70 research outputs found

    Production forecast of China׳s rare earths based on the Generalized Weng model and policy recommendations

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    AbstractChina is currently the largest producer of rare earths in the world, mining at least 90% of world total production. Because of China׳s dominant position in global rare earths production and the constant development of rare earths terminal industries, the study of China׳s rare earth supply trends has gradually been a hot topic of world interest. However, the literature shows that previous research has mainly focused on the estimation of rare earth supply and its influence based on experiential judge of current and premonitory new rare earth production capacity, rather than on quantitative modeling. The results are usually estimations of the productions of near future rather than longer term. Forecasts by mine types are particularly rare. Considering the different applications and demands of different rare earth elements, the Generalized Weng model, a widely used quantitative model in exhaustible resource forecast, is adopted in this study to predict the production of the three major rare earths in China (namely, mixed rare earth, bastnasite and ion-absorbed rare earth) before 2050. The results show that production of mixed rare earth will peak in 2014 at 62,757t, followed thereafter by an annual decline of 2%; production of bastnasite will peak in 2018 at 32,312t, preceded by an annual increase of 1.67% and followed by an annual decrease of 4%; production of ion-absorbed rare earth will peak in 2024 at 45,793t, preceded by an annual increase of 1.72% and followed by an annual decrease of 4%. Based on these findings, Chinese government should enforce environmental and resource exhaustible taxes soon and different domestic regulations for different rare earths according to their different production potential. Countries without resource endowments should make efforts to develop rare earth recycling technologies and seek substitutes for rare earth resources, in addition to keeping good international trading relationships. Countries with some kind of rare earths should start or restart their rare earth mines to gradually reduce dependence on China׳s supply

    Performance Evaluation of Split Output Converters with SiC MOSFETs and SiC Schottky Diodes

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    A 100kHz 95.91% Efficiency SiC-device-based Split Output Converter with EMI Reduction

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    Design and realization of a 3-K cryostat for a 10-cm ultrastable silicon cavity

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    Crystalline optical cavities operating at cryogenic temperatures provide a promising route for realizing the next generation of ultrastable lasers with extremely low thermal noise floor. However, it remains challenging to realize a closed-cycle cryostat for cooling a relatively long cavity to very low temperatures. Here we report on the design and experimental realization of a cryostat operating continuously at 3.1Ā K for an ultrastable 10-cm silicon cavity. Based on a combination of active temperature control and passive thermal damping, we realize at 3.1Ā K a two-second temperature instability of 6 Ɨ 10āˆ’8Ā K for the cavity. By implementing separate supporting structures for the cryocooler and the sample chamber, we realize vibration control on the 1 Ɨ 10āˆ’7g level at one second in each spatial direction, where g is the gravitational acceleration. With all these features, our cryostat can support an ultrastable silicon cavity with instability near its fundamental thermal noise floor at averaging time of 1ā€“50Ā s. With proper upgrading, our platform holds promise for realizing ultrastable lasers with 3 Ɨ 10āˆ’17 or better frequency stability, which will in turn enable numerous studies on precision metrology and quantum many-body physics

    A Smart Home Center Platform Solution Based on Smart Mirror

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    With the popularization of the concept of smart home, people have raised requirements on the experience of smart living. A smart home platform center solution is put forward in order to solve the intelligent interoperability and information integration of smart home, which enable people to have a more intelligent and convenient life experience. This platform center is achieved through the Smart Mirror. The Smart Mirror refers to a smart furniture, on the basis of the traditional concept of mirror, combining Raspberry Pi, the application of one-way mirror imaging principle, the touchļ¼enabled design, voice and video interaction. Smart Mirror can provide a series of intelligent experience for the residents, such as controlling all the intelligent furniture through Smart Mirror; accessing and displaying the weather, time, news and other life information; monitoring the home environment; remote interconnection operation

    A Smart Home Center Platform Solution Based on Smart Mirror

    No full text
    With the popularization of the concept of smart home, people have raised requirements on the experience of smart living. A smart home platform center solution is put forward in order to solve the intelligent interoperability and information integration of smart home, which enable people to have a more intelligent and convenient life experience. This platform center is achieved through the Smart Mirror. The Smart Mirror refers to a smart furniture, on the basis of the traditional concept of mirror, combining Raspberry Pi, the application of one-way mirror imaging principle, the touchļ¼enabled design, voice and video interaction. Smart Mirror can provide a series of intelligent experience for the residents, such as controlling all the intelligent furniture through Smart Mirror; accessing and displaying the weather, time, news and other life information; monitoring the home environment; remote interconnection operation

    A Simplified Branch and Bound Approach for Model Predictive Control of Multilevel Cascaded H-Bridge STATCOM

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    A Generic Multi-Level SVM Scheme Based on Two-Level SVM for n-Level Converters

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    Multi-level converters are widely used in various industrial applications. Among various space vector modulation (SVM) schemes, the multi-level SVM scheme based on two-level space vector pulse width modulation (SVPWM) is recognised as a simplified multi-level SVM scheme, which can reduce the computation complexity. However, this scheme is still complicated when the number of the voltage levels is large. This paper proposes a modified SVM scheme that can further simplify the multi-level SVM scheme based on two-level SVPWM. The proposed SVM scheme can directly determine the two-level hexagon where the reference voltage vector is located by calculating a simple formula. The whole modulation process can be completed by only three steps. Meanwhile, the proposed method is generic for any n-level converter without adding much calculation, which greatly simplifies the modulation process. Experimental results have been provided, which verify the effectiveness and generality of the proposed SVM scheme for two types of multi-level converters

    Hybrid analytical model for airā€gap magnetic field prediction of surfaceā€mounted permanent magnet motors with a quasiā€regular polygon rotor

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    Abstract In this article, a hybrid analytical model for a quasiā€regular polygon rotor (QPR) is proposed. It mainly uses the subdomain method and conformal mapping to solve a nonā€circular boundary in the QPR. Firstly, the subdomain method combined with an equivalent surface current method is used to calculate the airā€gap magnetic field considering a slotted stator with a circular rotor. Secondly, by segmenting the nonā€circular boundary in the QPR, the complex relative airā€gap permeance of the QPR can be calculated using the conformal mapping. Thirdly, this complex relative airā€gap permeance modifies the airā€gap magnetic field calculated in the first step to obtain the actual magnetic field distributions. Consequently, noā€load and loaded airā€gap flux densities, backā€electromotive force and torque can be obtained. A 12ā€pole/3ā€phase permanent magnet motor is modelled using the proposed hybrid analytical model, which is validated by finiteā€element analysis and experiment. This proposed hybrid analytical model presents a new way of processing the QPR. Its calculation speed is nearly 50 times faster than the finiteā€element analysis, which is of great help to the initial design and optimisation of machines with QPRs
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