scholarly journals Integrated modelling and simulation method of a cargo door actuator

2020 ◽  
Vol 2020 (14) ◽  
pp. 1026-1029
Author(s):  
Wang Xiaolu ◽  
Wang Danyang ◽  
Wu Hao ◽  
Yu Jian ◽  
Guo Peng ◽  
...  
Keyword(s):  
Simulation Method ◽  
Modelling And Simulation ◽  
Integrated Modelling

scholarly journals Modelling and simulation of a flexible packaging system for detergents

2019 ◽  
Vol 299 ◽  
pp. 02009
Author(s):  
Florin Blaga ◽  
Alin Pop ◽  
Iulian Stănăşel ◽  
Voichiţa Hule ◽  
Claudiu Indre
Keyword(s):  
Petri Nets ◽  
Manufacturing System ◽  
Operating Mode ◽  
Simulation Method ◽  
Modelling And Simulation ◽  
Line System ◽  
Level Of Automation ◽  
Flexible Packaging ◽  
Automated Manufacturing System ◽  
High Level

The paper presents how an automated manufacturing system for the packaging of detergents can be modelled using Petri nets. The complexity of the Detergent Packing System and the high level of automation,require the use of efficient modelling and simulation methods to verify the validity of the solutions adopted. For this purpose, a modern modelling and simulation method based on Petri nets is used. The models associated with the system are developed into a hierarchical structure: the model of some modules in a line; the model of a line; system model as a whole. The model of a packing line consists of the following sub-modules corresponding to the modules of the line: filling the bags, grouping the bags in boxes, grouping the boxes in a row, palletizing, supplying with new empty pallets, full pallets evacuation. The six lines of the manufacturing system can work in various ways: they can pack detergent bags of the same mass or of different masses. Under these conditions, the operating mode is checked step by step, and the necessary adjustments can be done as to ensure continuous operation of the system without any blockages.

scholarly journals Optimisation of production processes with the use of the modelling and simulation method

2019 ◽  
Vol 299 ◽  
pp. 03007
Author(s):  
Dariusz Plinta ◽  
Patrik Grznar
Keyword(s):  
Simulation Model ◽  
Simulation Method ◽  
Modelling And Simulation ◽  
Production Processes ◽  
Optimum Solution ◽  
Almost All

The paper presents an application of the modelling and simulation method for finding an optimum solution related to designing production processes. Using simulation in connection with optimization makes it possible to check almost all admissible variants of the proposed improvements comparatively quickly in order to evaluate them and to choose the best solution. The paper presents how a simulation model is created and shows an example of multi-criteria optimization.

Multi-Posture Jumps Analysis with Computational Modelling and Simulation Technology

2011 ◽  
Vol 187 ◽  
pp. 51-55
Author(s):  
Jia Han ◽  
Li Ping Lu
Keyword(s):  
Computational Modeling ◽  
Modeling And Simulation ◽  
Simulation Experiment ◽  
Computational Simulation ◽  
Computational Modelling ◽  
Simulation Method ◽  
Modelling And Simulation ◽  
Simulation Technology ◽  
Computational Modeling And Simulation ◽  
Sport Biomechanics

A computational modeling and simulation method for multi-posture gymnastics jump based on sport biomechanics was improved. Taking tuck jump, pike jump and arched jump as examples, the entire jump phase was seperated into four parts: taking off from bending the knees, airborne, posturing and landing. Then the formulas were developed for modelling. Finally, computational simulation experiment was done with the formulas. The simulation outcomes showed that this method is effective in multi-posture gymnastics jumps analysis.

scholarly journals CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation

2021 ◽  
Vol 17 (5) ◽  
pp. e1008881
Author(s):  
Christopher J. Arthurs ◽  
Rostislav Khlebnikov ◽  
Alex Melville ◽  
Marija Marčan ◽  
Alberto Gomez ◽  
...  
Keyword(s):  
Open Source ◽  
Mesh Generation ◽  
Three Dimensional ◽  
Simulation Software ◽  
Modelling And Simulation ◽  
Integrated Modelling ◽  
Software Environment ◽  
Element Mesh ◽  
Wide Audience ◽  
Computational Haemodynamics

In this work, we describe the CRIMSON (CardiovasculaR Integrated Modelling and SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly system for performing three-dimensional and reduced-order computational haemodynamics studies via a pipeline which involves: 1) segmenting vascular structures from medical images; 2) constructing analytic arterial and venous geometric models; 3) performing finite element mesh generation; 4) designing, and 5) applying boundary conditions; 6) running incompressible Navier-Stokes simulations of blood flow with fluid-structure interaction capabilities; and 7) post-processing and visualizing the results, including velocity, pressure and wall shear stress fields. A key aim of CRIMSON is to create a software environment that makes powerful computational haemodynamics tools accessible to a wide audience, including clinicians and students, both within our research laboratories and throughout the community. The overall philosophy is to leverage best-in-class open source standards for medical image processing, parallel flow computation, geometric solid modelling, data assimilation, and mesh generation. It is actively used by researchers in Europe, North and South America, Asia, and Australia. It has been applied to numerous clinical problems; we illustrate applications of CRIMSON to real-world problems using examples ranging from pre-operative surgical planning to medical device design optimization.

scholarly journals CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation

2020 ◽  
Author(s):  
C.J. Arthurs ◽  
R. Khlebnikov ◽  
A. Melville ◽  
M. Marčan ◽  
A. Gomez ◽  
...  
Keyword(s):  
Open Source ◽  
Mesh Generation ◽  
Simulation Software ◽  
Modelling And Simulation ◽  
Integrated Modelling ◽  
Software Environment ◽  
Element Mesh ◽  
Wide Audience ◽  
Link Type ◽  
Computational Haemodynamics

AbstractIn this work, we describe the CRIMSON (CardiovasculaR Integrated Modelling and SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly system for performing three-dimensional and reduced-order computational haemodynamics studies via a pipeline which involves: 1) segmenting vascular structures from medical images; 2) constructing analytic arterial and venous geometric models; 3) performing finite element mesh generation; 4) designing, and 5) applying boundary conditions; 6) running incompressible Navier-Stokes simulations of blood flow with fluid-structure interaction capabilities; and 7) post-processing and visualizing the results, including velocity, pressure and wall shear stress fields. A key aim of CRIMSON is to create a software environment that makes powerful computational haemodynamics tools accessible to a wide audience, including clinicians and students, both within our research laboratories and throughout the community. The overall philosophy is to leverage best-in-class open source standards for medical image processing, parallel flow computation, geometric solid modelling, data assimilation, and mesh generation. It is actively used by researchers in Europe, North and South America, Asia, and Australia. It has been applied to numerous clinical problems; we illustrate applications of CRIMSON to real-world problems using examples ranging from pre-operative surgical planning to medical device design optimization. CRIMSON binaries for Microsoft Windows 10, documentation and example input files are freely available for download from www.crimson.software, and the source code with compilation instructions is available on GitHub https://github.com/carthurs/CRIMSONFlowsolver (CRIMSON Flowsolver) under the GPL v3.0 license, and https://github.com/carthurs/CRIMSONGUI (CRIMSON GUI), under the AGPL v3.0 license. Support is available on the CRIMSON Google Groups forum, located at https://groups.google.com/forum/#!forum/crimson-users.

scholarly journals A Machine Learning Enabled Multi-Fidelity Platform for the Integrated Design of Aircraft Systems

2019 ◽  
Vol 141 (12) ◽  
Author(s):  
Ana Garcia Garriga ◽  
Laura Mainini ◽  
Sangeeth Saagar Ponnusamy
Keyword(s):  
Machine Learning ◽  
Flight Control ◽  
Integrated Design ◽  
Modelling And Simulation ◽  
Integrated Modelling ◽  
Flight Control System ◽  
System Architectures ◽  
Simulation Tools ◽  
Fuel Burn ◽  
Development Cycle

Abstract The push toward reducing the aircraft development cycle time motivates the development of collaborative frameworks that enable the more integrated design of aircraft and their systems. The ModellIng and Simulation tools for Systems IntegratiON on Aircraft (MISSION) project aims to develop an integrated modelling and simulation framework. This paper focuses on some recent advancements in the MISSION project and presents a design framework that combines a filtering process to down-select feasible architectures, a modeling platform that simulates the power system of the aircraft, and a machine learning-based clustering and optimization module. This framework enables the designer to prioritize different designs and offers traceability on the optimal choices. In addition, it enables the integration of models at multiple levels of fidelity depending on the size of the design space and the accuracy required. It is demonstrated for the electrification of the Primary Flight Control System (PFCS) and the landing gear braking system using different electric actuation technologies. The performance of different architectures is analyzed with respect to key performance indicators (fuel burn, weight, power). The optimization process benefits from a data-driven localization step to identify sets of similar architectures. The framework demonstrates the capability of optimizing across multiple, different system architectures in an efficient way that is scalable for larger design spaces and larger dimensionality problems.

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