Coupling experiment and simulation analysis to investigate physical parameters of CO 2 methanation in a plasma‐catalytic hybrid process

2020 ◽  
Vol 17 (9) ◽  
pp. 1900261 ◽  
Author(s):  
Bo Wang ◽  
Maria Mikhail ◽  
Maria Elena Galvez ◽  
Simeon Cavadias ◽  
Michael Tatoulian ◽  
...  
Keyword(s):  
Simulation Analysis ◽  
Hybrid Process ◽  
Physical Parameters ◽  
Experiment And Simulation ◽  
Coupling Experiment

Efficient biogas upgrading by a novel membrane-cryogenic hybrid process: Experiment and simulation study

2018 ◽  
Vol 565 ◽  
pp. 194-202 ◽  
Author(s):  
Chunfeng Song ◽  
Zhichao Fan ◽  
Run Li ◽  
Qingling Liu ◽  
Yutaka Kitamura
Keyword(s):  
Simulation Study ◽  
Hybrid Process ◽  
Biogas Upgrading ◽  
Experiment And Simulation

Experiment and simulation analysis on dynamic response of plane cable-membrane structure under impact load

2022 ◽  
Vol 171 ◽  
pp. 108814
Author(s):  
Junhao Xu ◽  
Yingying Zhang ◽  
Qichong Zhao ◽  
Lanlan Zhang
Keyword(s):  
Dynamic Response ◽  
Membrane Structure ◽  
Simulation Analysis ◽  
Impact Load ◽  
Experiment And Simulation

scholarly journals The experiment and simulation analysis of bus emergency evacuation

2018 ◽  
Vol 211 ◽  
pp. 427-432 ◽  
Author(s):  
Jing Liang ◽  
Yong-feng Zhang ◽  
Hao Huang
Keyword(s):  
Simulation Analysis ◽  
Emergency Evacuation ◽  
Experiment And Simulation

Experiment and simulation analysis of surface structure for CuW contact after arc erosion

2014 ◽  
Vol 31 (2) ◽  
pp. 243-247 ◽  
Author(s):  
Y. L. Wang ◽  
S. H. Liang ◽  
Z. B. Li
Keyword(s):  
Surface Structure ◽  
Simulation Analysis ◽  
Arc Erosion ◽  
Experiment And Simulation

scholarly journals Robust collaborative object transportation using multiple MAVs

2019 ◽  
Vol 38 (9) ◽  
pp. 1020-1044 ◽  
Author(s):  
Andrea Tagliabue ◽  
Mina Kamel ◽  
Roland Siegwart ◽  
Juan Nieto
Keyword(s):  
Robust Control ◽  
Simulation Analysis ◽  
Unmodeled Dynamics ◽  
Physical Parameters ◽  
Parametric Uncertainties ◽  
Challenging Problem ◽  
Worst Case ◽  
Extensive Simulation ◽  
Object Transportation ◽  
Explicit Communication

Collaborative object transportation using multiple MAV with limited communication is a challenging problem. In this paper, we address the problem of multiple MAV mechanically coupled to a bulky object for transportation purposes without explicit communication between agents. The apparent physical properties of each agent are reshaped to achieve robustly stable transportation. Parametric uncertainties and unmodeled dynamics of each agent are quantified and techniques from robust control theory are employed to choose the physical parameters of each agent to guarantee stability. Extensive simulation analysis and experimental results show that the proposed method guarantees stability in worst-case scenarios.

scholarly journals Prediction of Physical Parameters of Pumpkin Seeds Using Neural Network

2017 ◽  
Vol 45 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Bunyamin DEMIR ◽  
Ikbal ESKI ◽  
Zeynel A. KUS ◽  
Sezai ERCISLI
Keyword(s):  
Neural Network ◽  
Physical Properties ◽  
Intelligent Systems ◽  
Mean Squared Error ◽  
Simulation Analysis ◽  
Geometric Mean ◽  
Design Parameters ◽  
Physical Parameters ◽  
Pumpkin Seeds ◽  
Agricultural Materials

The design of the machines and equipment used in harvest and post-harvest processing should be compatible with the physical, mechanical and rheological characteristics of the fruits and vegetables. In machine design for agricultural products, several characteristics of relevant products and seeds should be known ahead. Designers can either measure all these design parameters one by one, or they may use intelligent systems to estimate such parameters. Neural networks (NNs) are new computational tools that provide a quick and accurate means of physical properties prediction of agricultural materials, and have been shown to perform well in comparison with traditional methods. In this research, some physical properties of pumpkin (Cucurbita pepo L.) seeds, including linear dimensions, volume, surface and projected area, geometric mean diameter and sphericity were calculated tridimensional in lab conditions. Then, prediction of these parameters was carried out using NNs. The research was divided into two parts; experimental investigation and simulation analysis with NNs. Back Propagation Neural Network (BPNN) and Radial Basis Neural Network (RBNN) structures were employed to estimate physical parameters of the pumpkin seeds. The Root Mean Squared Error (RMSE) was 0.6875 for BPNN and 0.0025 for RBNN structures. The RBNN structure was superior in prediction and could be used as an alternative approach to conventional methods.

Experiment and simulation analysis on the mechanism of the spindle barrel finishing

2020 ◽  
Vol 109 (1-2) ◽  
pp. 57-74 ◽  
Author(s):  
Wang Na ◽  
Zhao Tingting ◽  
Yang Sheng-qiang ◽  
Li Wenhui ◽  
Zhao Kai
Keyword(s):  
Simulation Analysis ◽  
Experiment And Simulation ◽  
Barrel Finishing

Experiment and Simulation Analysis on Heat load of Heavy-duty Vehicle Diesel Engine

2007 ◽  
Author(s):  
Zhaowen Wang ◽  
Ronghua Huang ◽  
Xiaobei Cheng ◽  
Yiwei Huang ◽  
Jun Qin ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Heat Load ◽  
Simulation Analysis ◽  
Heavy Duty ◽  
Heavy Duty Vehicle ◽  
Experiment And Simulation

G131 Prototype experiment and simulation analysis of processing of noncontact thin plate by controlling the static pressure of the melt

2012 ◽  
Vol 2012 (0) ◽  
pp. 215-216
Author(s):  
Yoshiyuki Mitsuhashi ◽  
Mitsutaka Umeta ◽  
Takashi Yamada ◽  
Naoki Ono
Keyword(s):  
Thin Plate ◽  
Static Pressure ◽  
Simulation Analysis ◽  
Experiment And Simulation

Experimental Research and Analysis on Micro Electrode Fabricated by Electrochemical Etching

2011 ◽  
Vol 694 ◽  
pp. 686-689
Author(s):  
He Bin Wang ◽  
Zhong Ning Guo ◽  
Zi Ping Han
Keyword(s):  
Influencing Factors ◽  
Experimental Research ◽  
Simulation Analysis ◽  
Electrochemical Etching ◽  
Experiment And Simulation

Electrochemical etching is a perfect method to fabricate micro cylinder electrode, but there is deviation on its precision because the tapered error of the electrode occurs. In this paper, we make some experiment and simulation analysis about the error so as to find out the influencing factors and to seek some effective solutions.

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