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Measurement of vector magnetic property under stress along arbitrary direction in non-oriented electrical steel sheet

100%

Kai Y.

Przegląd Elektrotechniczny

2011

tom R. 87, nr 9b

101-105

Electrical steel sheet in electrical machines is magnetized under alternating and rotating magnetic flux. The vector of magnetic flux density B and magnetic field strength H are not parallel because B lags H temporally. It is well known that the magnetic property of the electrical steel sheet is strongly affected by mechanical stress. Therefore, it is important to clarify the relationships between the magnetic property and the mechanical stress. In this paper, we examine the vector magnetic properties under the alternating and rotating magnetic flux conditions by applying the mechanical stress at the arbitrary direction.

W artykule zaprezentowano badania wektora właściwości magnetycznych blachy niezorientowanej poddanej naprężeniom w dowolnym kierunku. Blachy były magnesowane zarówno w jednej osi jak i rotacyjne.

Verification of the dynamic modeling of 2-R robot actuated by (N) equally spaced planet-gears by using SolidWorks and MATLAB/SIMULINK

51%

Fernini B. , Temmar M. , Kai Y. , Noor M. M.

Mechanics and Mechanical Engineering

2018

tom Vol. 22, nr 4

1497--1510

Industrial robots often use planetary gear system to have high joint torques; therefore, the influence of the rotary inertia of the number of the equally spaced planet-gears on the dynamical behavior of the robot is very important. The main objective of this paper is to develop the dynamic modeling of robot actuated by (n) equally spaced planet-gears in the case where the planet-carrier is fixed, no closed solution has been reported for this dynamic modeling, and to compare between the dynamic behavior of robot actuated by (n+1) and (n) equally spaced planet-gears for a same trajectory planning. The authors derive the explicit dynamic model for an elbow down of 2-R manipulator holding an external mass. Finally, the obtained simulation results by using Matlab/Simulink of the dynamic modeling are verified by modeling the same robot and using an advanced simulation via SolidWorks (2014).

Adaptive partition-based logic simulation using GPGPU

38%

Zhang M. , Zhang Y. , Yang W. , Kai Y. , Wei T. , Fan X.

International Journal of Microelectronics and Computer Science

2011

tom Vol. 2, nr 4

121-128

With the improvement of the gate complexity, the verification overhead becomes more decisive for VLSI design cost In order to reduce the simulation time, a adaptive partition based parallel method of VLSI logic simulation with GPGPU is addressed in this paper. The numerous arithmetic blocks of GPGPU is utilized simultaneously for disparate circuit macros. The partition strategy we proposed shows a sufficient flexibility to balance the different work load in parallel threads and fit the feature of GPU architecture. To explore the parallelism and locality of logic simulation further, the circuit macro is organized as stream data. The data dependency between the input and output nets in one individual logical path is handled with the shared memory of GPGPU. As for different logical paths, the dependency is processed by threads synchronization. To illustrate the performance, a serial experiments is implemented in Intel CoreDuo workstation with Nvidia GTX465 GPU board. Four typical digital circuits (LDPC, DES3, OpenRISC 1200 and OpenSPARCPARC T1) are considered as the benchmark. The result of experiments demonstrate a significant speed-up is achieved by using GPGPU parallel method, comparing with the CPU serial logic simulation. In maximal case (OpenS T1), the GPGPU parallel acceleration computes 21 times faster than serial program.