Optimal Design and Simulation on the Major Linkage Parameters of a Harvesting Manipulator

2010 ◽  
Vol 44-47 ◽  
pp. 651-655
Author(s):  
Yu Jie Cui ◽  
Jian Ning Hua ◽  
Pu Shi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimal Design ◽  
Optimization Design ◽  
Robotic Manipulators ◽  
The Monte Carlo Method ◽  
Simulation Results ◽  
Optimization Methodology

A general optimization methodology for the optimal design of robotic manipulators is presented and illustrated by its application to a harvesting manipulator. The optimization design of the manipulator framework and structure is made according to the tomato' s growth circumstance and distribution space.The workspace of the manipulator is carried out and simulated through the Monte Carlo method. Simulation results show that the manipulator with 4 degree- of- freedoms meets the expectations for picking tomato in greenhouse. The rationality of the structure and frame is validated.

scholarly journals Optimization design of the stick of an excavator under uncertain loading (in the conditions of the Syrian Arab Republic)

2021 ◽  
Vol 341 ◽  
pp. 00014
Author(s):  
Jalal Mohammad ◽  
Irina Odinokova ◽  
Vitaly Gaevskiy ◽  
Evgeni Nosko
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimization Design ◽  
Hydraulic Excavator ◽  
Original Design ◽  
Lower Stress ◽  
Interaction Models ◽  
The Monte Carlo Method ◽  
Syrian Arab Republic

The article is devoted to the optimization design of the stick of a hydraulic excavator at the most frequent and greatest value loads. The uncertain loads acting on the working equipment of the excavator were obtained by the Monte Carlo method based on 3D analytical soil-tool interaction models. The results show that the adopted methodology can be used to optimize the design of elements of the excavator working equipment, since the design of stick was obtained with less weight and lower stress values than the original design.

Exit Condition for Probabilistic Assessment Using Monte Carlo Method

2010 ◽  
Vol 10 (1) ◽  
pp. 1-9
Author(s):  
Jakub Valihrach ◽  
Petr Konečný
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimization Design ◽  
Random Variable ◽  
Probability Of Failure ◽  
Probabilistic Assessment ◽  
Theoretical Derivation ◽  
The Monte Carlo Method ◽  
The Relationship

Exit Condition for Probabilistic Assessment Using Monte Carlo Method This paper introduces a condition used to exit a probabilistic assessment using the Monte Carlo simulation, and to evaluate it with regard to the relationship between the computed estimate of the probability of failure and the target design probability. The estimation of probability of failure is treated as a random variable, considering its variance that is dependent on the number of performed Monte Carlo simulation steps. After theoretical derivation of the decision condition, it is tested numerically with regard to its accuracy and computational efficiency. The condition is suitable for optimization design using the Monte Carlo method.

scholarly journals Neutronic modeling of a subcritical system with corium particles and water (from international benchmark)

2020 ◽  
Vol 6 (3) ◽  
pp. 155-160
Author(s):  
Anton D. Smirnov ◽  
Ekaterina V. Bogdanova ◽  
Pavel A. Pugachev ◽  
Ivan S. Saldikov ◽  
Mikhail Yu. Ternovykh ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Scientific Community ◽  
Structural Elements ◽  
The Monte Carlo Method ◽  
Fukushima Daiichi ◽  
Simulation Results ◽  
Subcritical System ◽  
Good Agreement

After the accident at the Fukushima Daiichi NPP, the attention of the scientific community is riveted on how the consequences are being eliminated. Removing corium – a lava-like resolidified mixture of nuclear fuel with other structural elements of the reactor – remains the most difficult task, the solution of which can take several decades. It is extremely important to exclude the occurrence of any emergency processes during the removal of corium. The purpose of this work was to solve a coordinated hydrodynamic and neutronic problem characterized by a large number of randomly oriented and irregularly located corium particles in water as part of the development of a benchmark for this class of problems. Monte Carlo-based precision codes were used to perform a neutronic analysis. The positions of corium particles were determined from the numerical simulation results. The analysis results obtained using the codes involved showed good agreement for all the states considered. It was shown that the modern neutronic codes based on the Monte Carlo method successfully cope with the geometric formation and solution of the problem with a nontrivial distribution of corium particles in water. The results of the study can be used to justify the safety of corium handling procedures, including its extraction from a damaged power unit.

Effectiveness Calculation of Multiple Rounds Simultaneous Impact Shooting Method Based on Monte Carlo Method

2013 ◽  
Vol 397-400 ◽  
pp. 2459-2463 ◽  
Author(s):  
Xin Jun Hu ◽  
Hang Yu Wang
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Shooting Method ◽  
Moving Targets ◽  
Simultaneous Impact ◽  
The Monte Carlo Method ◽  
Naval Gun ◽  
Simulation Results

Multiple Rounds Simultaneous Impact shooting method (MRSI) improved the hit projectiles greatly.It will effect the shooting effectiveness of Large Caliber Naval Gun weapon system.Based on the analysis of the priciple of Monte Carlo method,the consistent of shooting errors was given.Then built the configuration rules of aiming points,and given the Optimal configuration.Also the Monte Carlo method was adopt to calculate the shooting effectiveness of Large Caliber Naval Gun weapon system.The simulation results showes that MRSI shooting method could attack the moving targets effectively.

scholarly journals Анализ структуры многослойных нанокристаллических покрытий на основе параметров массопереноса плазмы, вычисленных методом Монте-Карло

2019 ◽  
Vol 45 (3) ◽  
pp. 16 ◽  
Author(s):  
А.В. Черногор ◽  
И.В. Блинков ◽  
Д.С. Белов ◽  
В.С. Сергевнин ◽  
А.О. Волхонский
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Concentration Distribution ◽  
Chemical Elements ◽  
Vacuum Arc ◽  
The Monte Carlo Method ◽  
Simulation Results

AbstractThe results of the simulation of plasma fluxes onto the surface of rotating substrates during the combustion of a vacuum arc of the Cr–Ti–Mo cathode system are presented. The structure and composition of the arc-PVD Ti_0.15Cr_0.74Mo_0.11N_0.84 coatings are experimentally studied. The numerical simulation results of the coating structures based on experimental data were analyzed. The possibility of the simulation of the structure of multilayer, multicomponent coatings and the concentration distribution of chemical elements and its components is shown by calculating the plasma fluxes using the Monte Carlo method.

An off-axis, reflective system for uniform near-field illumination in optical microscopy

2017 ◽  
Vol 50 (5) ◽  
pp. 787-795
Author(s):  
P Ge ◽  
K Zhang ◽  
L Mao ◽  
Y Zhang ◽  
H Xu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optical System ◽  
Optical Axis ◽  
Near Field ◽  
Observation Distance ◽  
The Monte Carlo Method ◽  
Simulation Results ◽  
Reflective System ◽  
Better Than

In traditional optical microsopy the uniformity of off-axis illumination is poor. In this paper we propose a novel LED optical system for near-field illumination in microscopy. The system includes a LED light source, an optical collimator and a freeform, micro-reflective lens array. The Monte Carlo method is used to simulate the system. The simulation results show that the illumination uniformity can be better than 85% in the observation zone. The optical system can be put at the side of the main optical axis of the microscope. The illumination uniformity is not varied when the observation distance changes so it has good stablilty.

scholarly journals Research on the performance of multi-base buoy arrays under the condition of on-called anti-submarine and warship-helicopter cooperation

2018 ◽  
Vol 232 ◽  
pp. 04033
Author(s):  
Yuhang Zhang ◽  
Jianbo Ju ◽  
Siqing Wang
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Initial Position ◽  
Search Performance ◽  
Initial Distance ◽  
Operational Conditions ◽  
Movement Characteristics ◽  
The Monte Carlo Method ◽  
Actual Movement ◽  
Simulation Results

In order to improve the performance of traditional on-called Anti-submarine, the method of combining the towed sonar and helicopter deployment with traditional buoy arrays for multi-base searching is proposed. Combining the acoustics principle and the actual movement characteristics of warships and helicopters, model of naval movement and multi-base passive circular buoy arrays,square buoy arrays, and triangle buoy arrays deployed by a helicopter were established. The Monte Carlo method was used to simulate and analyse the effect of the initial distance from the call point, the initial position of the submarine, the speed of the submarine economy, the size parameters of the float array and the number of deployments on the multi-base search performance under each formation. The simulation results show that the search performance of the three multi-base arrays decreases with the increase of the initial distance, the initial position of the submarine, and the speed of the submarine economy; the circular multi-base array has the best search performance, and the appropriate deployment radius and the number of passive buoys to be deployed can be selected according to different search requirements and actual operational conditions. This method is suitable for on-called anti-submarine within a certain distance, and has certain military significance for anti-submarine warfare.

scholarly journals Simulasi Monte Carlo dalam Mengidentifikasi Peningkatan Penjualan Tanaman Mawar (Studi Kasus di Toko Bunga 5 Bersaudara Kota Solok)

2020 ◽  
Author(s):  
Dian Cyntia Dewi ◽  
S Sumijan ◽  
Gunadi Widi Nurcahyo
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Probability Distribution ◽  
Monte Carlo Simulations ◽  
Random Numbers ◽  
Cumulative Frequency ◽  
Simulation Process ◽  
The Monte Carlo Method ◽  
Simulation Results

Roses are one of the most popular types of plants in the community. The sale of roses at the flower shop of 5 siblings is increasingly in demand. Identifying the increase in sales is important in analyzing sales progress. At the present time the seller can only see a manual increase in sales that are most in demand. This study aims to determine predictions of the increase in sales of rose flowers with a monte carlo simulation accurately and accurately. The data that will be processed in this study in the last 2 years, namely 2018 and 2019, rose plants obtained at the 5 Brothers Flower Shop in Solok City. There are several types of roses in the predicted sales level. Then the data will be converted into the probability distribution into cumulative frequency and followed by generating random numbers so that they can determine random numbers. Next, we will group the boundary intervals of the random numbers that have been obtained and continue with the simulation process so that the simulation results and percentage accuracy are obtained using the Monte Carlo method. The results of this study on data processing from 2019 to 2020 have an accuracy of 90%. So this research is very appropriate in identifying the increase in sales for the following year. The design of this system determines the amount of increased sales of goods using the monte carlo method in a flower shop of 5 siblings. Monte Carlo simulations can be used to identify specific sales increases. The results obtained are quite accurate using the Monte Carlo method.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

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