Aeromechanics and Control of Projectile Roll Using Coupled Simulation Techniques

2015 ◽  
Vol 52 (3) ◽  
pp. 944-957 ◽  
Author(s):  
Jubaraj Sahu ◽  
Frank Fresconi
2017 ◽  
Vol 23 (1) ◽  
pp. 61-65
Author(s):  
Pavel Bučka ◽  
Vladimír Andrassy

Abstract The existing conflicts, both military and non-military are currently mostly of non-linear nature, where units composed of multiple specializations, both smaller and acting independently are prevailing. Those units are usually separated from home base and proper access to its own central supply lines of communication which strengthens emphasizes on their independent command and control, coordination within deployed forces and other assets within given operation. Therefore, prior collective training and preparation for deployment is one of the crucial operational planning requirements before deployment takes place. Modern training simulation techniques and assets do support preparedness of those units planned for deployment by aligning and synchronizing interoperability of their activities. One of such techniques - Blended simulation - can realistically generate a wide range of situations with exact imitation of activities to practice the ability of different types of units to the declared capabilities across the broad spectrum of tasks. Evaluation of the blended simulation effectiveness does further help to deliver more efficient methodologies and tactical procedures for further use within preparation stag. Such approach is in line with the trend of increased use of modelling and simulation techniques within military education and training.


1977 ◽  
Vol 25 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Manny Brand

This study compared the relative effectiveness of simulated encounters with behavior management problems and the traditional lecture-discussion method in teaching behavior management skills to undergraduate music education majors. More specifically, it investigated whether differential attitude changes, responses to written hypothetical situations, and competencies in handling behavior problems in an actual classroom situation followed simulation treatment procedures, compared to the standard lectures and discussions. Results indicated that both treatments appear to be equally effective. However, when subjects from experimental and control groups were placed in an actual classroom teaching situation, the members of the experimental group functioned more effectively.


Author(s):  
Makarand Datar ◽  
Michael Tercha ◽  
Charles Pergantis ◽  
Ali Manesh ◽  
Dan Negrut

The use of virtual prototyping early in the design stage of a product has gained popularity due to reduced cost and time to market. The state of the art in vehicle simulation has reached a level where full vehicles are analyzed through simulation but major difficulties continue to be present in interfacing the vehicle model with accurate powertrain models and in developing adequate formulations for the contact between tire and terrain (specifically, scenarios such as tire sliding on ice and rolling on sand or other very deformable surfaces). The proposed work focuses on developing a ground vehicle simulation capability by combining several third party packages for vehicle simulation, tire simulation, and powertrain simulation. The long-term goal of this project is to promote the Digital Car idea through the development of a reliable and robust simulation capability that will enhance the understanding and control of off-road vehicle performance. To this end we concentrate our attention on two main aspects: (1) development of a family of tire and contact models suitable for simulations ranging from high accuracy to real time for on/off-road conditions and extreme environments, and (2) investigation of co-simulation techniques suitable from a numerical standpoint to support long simulations of heterogeneous models that contain vehicle, tire, terrain, powertrain, and controls subsystems.


Author(s):  
Imad M. Khan ◽  
Kurt S. Anderson

For many biopolymers (RNA, DNA, enzymes and proteins) the nature of the molecules interaction within the cell has been determined to be highly a function of its conformational structure. Understanding how to influence and control this structure thus is of critical importance if one wishes to manipulate the intercellular processes of which these biopolymers play such a central role. In molecular dynamics (MD) simulations, a fully atomistic model represents the system at the finest scale and as such captures all the dynamics of the system. If the simulation is permitted to run sufficiently long important emergent behaviors can develop and show themselves. Such MD simulations represent a direct applications of Newton’s Laws of Motion to the individual atoms in the system, and are conceptually the easiest to implement. An advantage of this procedure is that the simulation yields important information not only about the intermediate states and the mechanisms which produced them, but also provides the rates at which these processes occur. These intermediate conformational states have repeatedly been implicated in many known biological function [1], [2]. Unfortunately, this albeit correct, but naive approach quickly leads to intractable models and prohibitive computational expense when applied to systems involving many atoms. As a result, researcher often grossly over simplify the system move to non-deterministic methods such as Monte Carlo, which effectively remove dynamics from the system, or use undesirably gross model simplification. Because of these forward dynamics performance difficulties, potentially important mechanisms governing biopolymer structure have not been adequately explored and/or identified. The methods and algorithms described in this paper are intended to extend the capabilities of the simulation techniques for such systems so that the forward dynamics can better predict the non-equilibrium behavior of these systems, thus complementing Monte Carlo, while retaining much useful intermediate process and temporal information.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hua Chen ◽  
Ming Cai ◽  
Ke Huang ◽  
Shuxin Jin

To study the classification and evolution of key technologies in the transportation field, the data of 36 authoritative SCI journals in the transportation field were collected from the Web of Science core collection database from 2001 to 2020. Based on the bibliometric method, this study used Python to process and visualize data, combined with bibliometric software VOSviewer to assist data visualization. Firstly, a preprocessing data algorithm was designed to deduplicate the collected data, merge synonyms, and extract key technologies. Then the paper records that contained the key technology lexicon were filtered out. Next, the annual number of publications and the distribution of key technologies over time were counted. The least squares method was used to fit the distribution of the annual proportion of the publications, and the slope k1 of the fitted linear regression equation was used to determine the research interest trend of key technologies. The key technologies were divided into “hot technology,” “cold technology,” and “other technologies,” according to the research heat trend. In order to further explore the research hotspots, the least squares method was also used to fit the citations of all technologies to obtain the slope k2. We use the Gaussian mixture model (GMM) algorithm to cluster k1 and k2 of each technology. As a result, the 144 technologies were divided into 13 super-key technologies, 60 key technologies, 59 relative key technologies, and 12 lower-key technologies. Then, the evolution of key technologies was analyzed from two perspectives of weighted evolution and cumulative evolution. And the technology evolution trend in the transportation field in the past 20 years was explored. Finally, the cooccurrence clustering method was adopted to divide key transportation technologies into five categories: vehicle technology and control, optimization algorithms and simulation techniques, artificial intelligence and big data, Internet of Things and computing, and communication technology. The research results can provide references for different people in the transportation field, including but not limited to researchers, journal editors, and funding agencies.


1999 ◽  
Author(s):  
Pier Michele Cattelino ◽  
Corrado Licata ◽  
Luigi Rèpaci

Abstract Aim of the present paper is to highlight Fata Hunter’s hSystem®, emphasizing its self adaptive capabilities, process simulation and control together with simulation techniques which allowed the system developers to set up and fine tune the whole automation package. In the framework of the implementation of the automation package, and especially of level 2, particular attention has been put upon cold rolling process modelization. To this aspect the second part of this paper has been dedicated.


1975 ◽  
Vol 19 (3) ◽  
pp. 347-353 ◽  
Author(s):  
Gilbert G. Kuperman ◽  
Deborah J. Seifert

Systems Analysis of Integrated Networks of Tasks (SAINT) network and computer simulation techniques were applied in support of the Digital Avionics Information System (DAIS) advanced development program. A computer-programmed model was developed to closely parallel Aerospace Medical Research Laboratory's Advanced Cockpit Design Simulator (ACDS) man-in-the-loop experiments with respect to task scenarios, task durations, and control tolerances used. Networks developed for the model represented both multifunction switching and multipurpose display concepts of DAIS and dedicated avionics subsystem display and control concepts of conventional aircraft systems. Exercise of the computer model provided estimates of the nature of primary and secondary task interaction, performance predictions, and validation of the modeling concepts and accuracy within the limits of the available empirical data.


Author(s):  
R. R. Dils ◽  
P. S. Follansbee

Electric fields have been applied across oxides growing on a high temperature alloy and control of the oxidation of the material has been demonstrated. At present, three-fold increases in the oxidation rate have been measured in accelerating fields and the oxidation process has been completely stopped in a retarding field.The experiments have been conducted with an iron-base alloy, Pe 25Cr 5A1 0.1Y, although, in principle, any alloy capable of forming an adherent aluminum oxide layer during oxidation can be used. A specimen is polished and oxidized to produce a thin, uniform insulating layer on one surface. Three platinum electrodes are sputtered on the oxide surface and the specimen is reoxidized.


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