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High heat flux thermal management through liquid metal driven with electromagnetic induction pump

Frontiers in Energy 2022, Volume 16, Issue 3,   Pages 460-470 doi: 10.1007/s11708-022-0825-9

Abstract: A high-performance electromagnetic induction pump driven by rotating permanent magnets is designed to

Keywords： high heat flux     liquid metal     electromagnetic pump     minichannel heat sink     thermal interface material    

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Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 135-145 doi: 10.15302/J-FASE-2017143

Abstract: Our objective was to employ electromagnetic induction (EMI) mapping in low apparent electrical conductivity

Keywords： soil electrical conductivity     soil texture mapping     temporal stability analysis    

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Review on electromagnetic welding of dissimilar materials

K. SHANTHALA,T. N. SREENIVASA

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 4,   Pages 363-373 doi: 10.1007/s11465-016-0375-0

Abstract:

Electromagnetic welding (EMW) is a high-speed joining technique that is used to join similar or dissimilarThis technique uses electromagnetic force to mainly join conductive materials.In this paper, the research and progress in electromagnetic welding are reviewed from various perspectives

Keywords： electromagnetic     welding     impact     dissimilar materials    

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Constant temperature control of tundish induction heating power supply for metallurgical manufacturing

Yufei YUE, Qianming XU, Peng GUO, An LUO

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 16-26 doi: 10.1007/s11708-018-0572-0

Abstract: The tundish induction heating power supply (TIHPS) is one of the most important equipment in the continuous

Keywords： tundish induction heating power supply (TIHPS)     constant temperature control     input harmonic current blocking    

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Radial electromagnetic type unbalance vibration self-recovery regulation system for high-end grinding

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0763-1

Abstract: Modern rotating machines, which are represented by high-end grinding machines, have developed toward high precision, intelligence, and high durability in recent years. As the core components of grinding machine spindles, grinding wheels greatly affect the vibration level during operation. The unbalance vibration self-recovery regulation (UVSRR) system is proposed to suppress the vibration of grinding wheels during workpiece processing, eliminating or minimizing the imbalance. First, technical principles and the system composition are introduced. Second, the balancing actuator in the UVSRR system is analyzed in detail. The advanced nature of the improved structure is presented through structure introduction and advantage analysis. The performance of the balancing actuator is mutually verified by the theoretical calculation of torque and software simulation. Results show that the self-locking torque satisfies the actual demand, and the driving torque is increased by 1.73 times compared with the traditional structure. Finally, the engineering application value of the UVSRR system is verified by laboratory performance comparison and actual factory application. The balancing speed and effect of the UVSRR system are better than those of an international mainstream product and, the quality of the workpieces machined in the factory improved by 40%.

Keywords： UVSRR system     radial electromagnetic type     vibration suppression     performance simulation     engineering    

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Analytical model and finite element computation of braking torque in electromagnetic retarder

Lezhi YE,Guangzhao YANG,Desheng LI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 368-379 doi: 10.1007/s11465-014-0314-x

Abstract:

An analytical model has been developed for analyzing the braking torque in electromagnetic retarder

Keywords： electromagnetic retarder     magnetic field distribution     magnetic circuit     finite element method    

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Spatial Discrimination of Complex, Low-Relief Quaternary Siliciclastic Strata Using Airborne Lidar and Near-Surface Geophysics: An Example from the Texas Coastal Plain, USA Article

Jeffrey G. Paine,Edward W. Collins,Lucie Costard

Engineering 2018, Volume 4, Issue 5,   Pages 676-684 doi: 10.1016/j.eng.2018.09.005

Abstract:

Depositional units preserved on coastal plains worldwide control lithologic distribution in the shallow subsurface that is critical to infrastructure design and construction, and are also an important repository of information about the large-scale climate change that has occurred during many Quaternary glacialinterglacial cycles. The lateral and vertical lithologic and stratigraphic complexity of these depositional units and their response to climatic and sea-level change are poorly understood, making it difficult to predict lithologic distribution and to place historical and future climate and sea-level change within a natural geologic context. Mapping Quaternary siliciclastic depositional units on low-relief coastal plains traditionally has been based on their expression in aerial photographs and low-resolution topographic maps. Accuracy and detail have been hindered by low relief and lack of exposure. High-resolution airborne lidar surveys, along with surface and borehole geophysical measurements, are being used to identify subtle lateral and vertical boundaries of lithologic units on the Texas Coastal Plain within Quaternary strata. Ground and borehole conductivity measurements discriminate sandy barrier island and fluvial and deltaic channel deposits from muddy floodplain, delta-plain, and estuarine deposits. Borehole conductivity and natural gamma logs similarly distinguish distinct lithologic units in the subsurface and identify erosional unconformities that likely separate units deposited during different glacial-interglacial stages. High-resolution digital elevation models obtained from airborne lidar surveys reveal previously unrecognized topographic detail that aids identification of surface features such as sandy channels, clay-rich interchannel deposits, and accretionary features on Pleistocene barrier islands. An optimal approach to identify lithologic and stratigraphic distribution in low-relief coastal-plain environments employs ① an initial lidar survey to produce a detailed elevation model; ② selective surface sampling and geophysical measurements based on preliminary mapping derived from lidar data and aerial imagery; and ③ borehole sampling, logging, and analysis at key sites selected after lidar and surface measurements are complete.

Keywords： Lithology     Geophysics     Electromagnetic induction     Lidar    

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aerogels decorated with multi-walled carbon nanotubes: preparation, characterization, and application for electromagnetic

Jian LI,Caichao WAN

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 4,   Pages 341-346 doi: 10.15302/J-FASE-2015082

Abstract: Electromagnetic wave pollution has attracted extensive attention because of its ability to affect theIn addition, the aerogels show a high electromagnetic interference (EMI) value of 19.4 dB.

Keywords： cellulose aerogels     carbon nanotubes     electromagnetic interference shielding     composites    

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Brown and beige fat: the metabolic function, induction, and therapeutic potential

Shuwen Qian,Haiyan Huang,Qiqun Tang

Frontiers of Medicine 2015, Volume 9, Issue 2,   Pages 162-172 doi: 10.1007/s11684-015-0382-2

Abstract:

Adipose tissue is an important organ for energy homeostasis. White adipose tissue stores energy in the form of triglycerides, whereas brown adipocytes and recently identified beige adipocytes are specialized in dissipating energy by thermogenesis or contribution to dispose glucose and clear triglycerides in blood. The inverse correlation between the brown adipose tissue activity and body mass suggests its protective role against body fat accumulation. Thus, recruitment and activation of brown or beige adipose tissue become particularly appealing targets for increasing energy expenditure. Angiogenesis and sympathetic nerve signals are the fundamental determinants for brown and beige adipose tissue development, as well as for their metabolic functions. Secretary factors including BMPs can induce the development, the activation of brown or beige adipose tissue, which seem to be promising for therapeutic development.

Keywords： brown adipocyte     beige adipocyte     metabolism     obesity    

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: To develop this composite load model, the exponential load is used as a static load model and induction

Keywords： isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor load    

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Experimental investigation and comparative study of inter-turn short-circuits and unbalanced voltage supply in induction

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 271-278 doi: 10.1007/s11708-013-0258-6

Abstract: A transient model for an induction machine with stator winding turn faults on a single phase is derived

Keywords： induction machines     fault indicator     inter-turn short-circuit fault     unbalance supply voltage    

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A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 176-191 doi: 10.1007/s11708-015-0386-2

Abstract: Today, induction machines are playing, thanks to their robustness, an important role in world industriesFirst, the three-phase currents of the induction motor led to a Park’s vector.

Keywords： induction motor     incipient broken bar     extended Park’s vector approach     spectral analysis     inter-turn short-circuit    

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Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 321-334 doi: 10.1631/FITEE.1400170

Abstract: This paper presents a multiple target implementation technique for a doubly fed induction generator (and sinusoidal stator current; (2) smooth instantaneous stator active and reactive powers; (3) smooth electromagnetic

Keywords： Direct power control     Doubly fed induction generator     Unbalanced and distorted grid voltage     Vector proportional    

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Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed induction

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: This paper discusses the power outputs control of a grid-connected doubly-fed induction generator (DFIG

Keywords： doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor    

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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: Online estimation of rotor resistance is essential for high performance vector controlled drives. In this paper, a novel modified neural algorithm has been identified for the online estimation of rotor resistance. Neural based estimators are now receiving active consideration as they have a number of advantages over conventional techniques. The training algorithm of the neural network determines its learning speed, stability, weight convergence, accuracy of estimation, speed of tracking and ease of implementation. In this paper, the neural estimator has been studied with conventional and proposed learning algorithms. The sensitivity of the rotor resistance change has been tested for a wide range of variation from -50% to+50% on the stability of the drive system with and without estimator. It is quiet appealing to settle with optimal estimation time and error for the viable realization. The study is conducted extensively for estimation and tracking. The proposed learning algorithm is found to exhibit good estimation and tracking capabilities. Besides, it reduces computational complexity and, hence, more feasible for practical digital implementation.

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

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Title Author Date Type Operation

High heat flux thermal management through liquid metal driven with electromagnetic induction pump

Journal Article

Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Journal Article

Review on electromagnetic welding of dissimilar materials

K. SHANTHALA,T. N. SREENIVASA

Journal Article

Constant temperature control of tundish induction heating power supply for metallurgical manufacturing

Yufei YUE, Qianming XU, Peng GUO, An LUO

Journal Article

Radial electromagnetic type unbalance vibration self-recovery regulation system for high-end grinding

Journal Article

Analytical model and finite element computation of braking torque in electromagnetic retarder

Lezhi YE,Guangzhao YANG,Desheng LI

Journal Article

Spatial Discrimination of Complex, Low-Relief Quaternary Siliciclastic Strata Using Airborne Lidar and Near-Surface Geophysics: An Example from the Texas Coastal Plain, USA

Jeffrey G. Paine,Edward W. Collins,Lucie Costard

Journal Article

aerogels decorated with multi-walled carbon nanotubes: preparation, characterization, and application for electromagnetic

Jian LI,Caichao WAN

Journal Article

Brown and beige fat: the metabolic function, induction, and therapeutic potential

Shuwen Qian,Haiyan Huang,Qiqun Tang

Journal Article

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Journal Article

Experimental investigation and comparative study of inter-turn short-circuits and unbalanced voltage supply in induction

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Journal Article

A new and best approach for early detection of rotor and stator faults in induction motors coupled to

Abderrahim ALLAL,Boukhemis CHETATE

Journal Article

Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Journal Article

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed induction

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article