Deep-Space Solar Array Power Prediction Using Monte Carlo Simulation with Low-Intensity/Room-Temperature and Low- Intensity/Low-Temperature Solar Cell Ground Test Data

The influnence of the amplitude (H0) and frequency of sweeped magnetic field on the exchange bias He and coercivity Hc for ferromagnetic/ antiferromagnetic films has been simulated with Monte Carlo method. In a cycle, the sweeped frequency is inversely proportional to Monte Carlo steps (MCSs). It is observed that, for smaller MCSs, the values of He and the blocking tempreture Tb reduce evidently with increasing MCSs; for larger MCSs, the values of He and Tb decrease gently with increasing MCSs. It is also found the values of He and Tb decrease obviously with increasing values of H0 (HN0). However, on the contrary, the value of Hc increases with increasing values of H0 (HN0). At low temperature and little HN0, the asymmetric loop may appear, which is attributed to the competition between the relaxation time and the period of the external magnetic field. Moreover, the symmetry of the loops influences evidently the values of He and Hc.

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The energy conversion efficiency comparison between ordered and disordered structures in two dimensional semiconductor solar cell: The kinetic Monte Carlo simulation

Integrated Ferroelectrics ◽

10.1080/10584587.2016.1205414 ◽

2016 ◽

Vol 175 (1) ◽

pp. 236-246

Author(s):

Chumpol Supatutkul ◽

Yongyut Laosiritaworn

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Solar Cell ◽

Energy Conversion ◽

Conversion Efficiency ◽

Kinetic Monte Carlo ◽

Energy Conversion Efficiency ◽

Two Dimensional ◽

Disordered Structures ◽

Efficiency Comparison

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Design Curve Construction Based on Monte Carlo Simulation

Volume 3: Design and Analysis ◽

10.1115/pvp2013-97631 ◽

2013 ◽

Cited By ~ 2

Author(s):

Zhigang Wei ◽

Limin Luo ◽

Burt Lin ◽

Dmitri Konson ◽

Kamran Nikbin

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Sample Size ◽

Test Data ◽

Confidence Level ◽

Small Sample Size ◽

Test Sample ◽

Small Sample ◽

Tolerance Limit ◽

Design Curve

Good durability/reliability performance of products can be achieved by properly constructing and implementing design curves, which are usually obtained by analyzing test data, such as fatigue S-N data. A good design curve construction approach should consider sample size, failure probability and confidence level, and these features are especially critical when test sample size is small. The authors have developed a design S-N curve construction method based on the tolerance limit concept. However, recent studies have shown that the analytical solutions based on the tolerance limit approach may not be accurate for very small sample size because of the assumptions and approximations introduced to the analytical approach. In this paper a Monte Carlo simulation approach is used to construct design curves for test data with an assumed underlining normal (or lognormal) distribution. The difference of factor K, which measures the confidence level of the test data, between the analytical solution and the Monte Carlo simulation solutions is compared. Finally, the design curves constructed based on these methods are demonstrated and compared using fatigue S-N data with small sample size.

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A Statistical Simulation Model of Miner’s Rule

Journal of Engineering Materials and Technology ◽

10.1115/1.3224981 ◽

1981 ◽

Vol 103 (2) ◽

pp. 112-117 ◽

Cited By ~ 6

Author(s):

S. E. J. Johnsen ◽

M. Doner

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Simulation Model ◽

Fatigue Damage ◽

Room Temperature ◽

Statistical Simulation ◽

Miner’S Rule ◽

Cumulative Fatigue Damage ◽

Miner's Rule ◽

Monte Carlo Simulation Model

A Monte Carlo simulation model of the classical Miner’s rule for cumulative fatigue damage is devised and implemented for an example of three summands. Results from the simulation are compared with Miner’s rule. The concept of damage-sum-to-failure is developed and applied to measured values of INCO 901 at room temperature.

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