scholarly journals Study on the influence of structure shape of semi armour piercing warhead on vertical armour piercing efficiency

2022 ◽  
Vol 355 ◽  
pp. 01010
Author(s):  
Lihao Yang ◽  
Qi Zhang ◽  
Huafeng He ◽  
Yan Liu
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Aircraft Carrier ◽  
Residual Velocity ◽  
Simulation Research ◽  
Dynamic Simulation Model ◽  
Explicit Dynamic ◽  
The Impact ◽  
Grid Division ◽  
Material Setting

In order to evaluate the impact of different warhead shapes on the damage efficiency of semi armour piercing warhead effectively, four common semi armour piercing warhead models are established based on Solidworks, and the deck model is established with reference to the deck data of an aircraft carrier. And then the material setting and grid division are carried out based on Ansys so as to construct the explicit dynamic simulation model. The credibility of the model is verified based on the residual velocity theory after the model being established. Finally, based on the established model, the simulation research on the influence of warhead shape on vertical armour piercing ability is carried out. The results show that under the same velocity, the armour piercing ability of sharp oval and conical warheads are better and their residual velocity are higher.

Simulation Research on the Impact Mole System in Working State

2011 ◽  
Vol 314-316 ◽  
pp. 562-565
Author(s):  
Xiao Lin Yu
Keyword(s):  
Simulation Model ◽  
Kinetic Parameters ◽  
Dynamic Simulation ◽  
System Simulation ◽  
Simulation Tool ◽  
Simulation Approach ◽  
Simulation Research ◽  
Dynamic Simulation Model ◽  
Theoretical Evidence ◽  
The Impact

The structure and working principles of impact mole system were analyzed, and the dynamic simulation model of working impact mole system was built by using the theories of aerodynamics and aerothermodynamic. The Hammerhead impact mole was simulated by means of MATLAB language and its system simulation tool SIMULINK, and the correctness of simulation model was verified. The results show that the simulation approach provides the theoretical evidence for analyzing the kinetic parameters of working impact mole and its application in actual projects.

scholarly journals 203 Development and evaluation of a dynamic simulation model of farm management strategies affecting the reproductive performance of a suckled beef cow herd

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 32-32
Author(s):  
Richard Lynch ◽  
Paul Crosson ◽  
Alan Kelly ◽  
David Kenny
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Reproductive Performance ◽  
Management Strategies ◽  
Farm Management ◽  
Beef Cow ◽  
Reproductive Management ◽  
Dynamic Simulation Model ◽  
Production Cycles ◽  
The Impact

Abstract Reproductive output in suckled beef cow systems is underpinned by a combination of genetics and the impact of efficient animal management strategies which given their cumulative nature, are difficult to evaluate. A dynamic simulation model (Grange Reproductive Management Model; GReMM) was developed replicating the reproductive performance of a suckled beef cow herd over multiple production cycles using the Stella Architect dynamic modelling platform (isee systems, Ventana, Lebanon, USA). Model inputs for farm parameters include dates and duration of breeding seasons in addition to nutrition and management of the periparturient beef cow. Specific management parameters pertaining to the duration of the postpartum anoestrus interval (PPAI), such as the body condition score of the cow at calving (BCSc), level of postpartum nutrition (PPN), management of the suckling calf and bio-stimulation of the dam pre-breeding are modelled. Outputs are displayed in the form of shifts in calving distribution, calving rates and calves per cow per year. Scenario analysis consisted of the implementation of a BASE scenario representative of current industry best practice (Normal reproductive management; NRM: BCSc, 2.75; PPN, 100 MJ ME/d; ad libitum suckling). Two further scenarios were developed representing a more intensively managed herd, with high levels of nutrition pre and post calving in addition to alternative reproductive management strategies (Intensive reproductive management; IRM), and a herd with a low level of nutritional management pre and postpartum (Poor reproductive management; PRM). Outputs generated in terms of calving distribution over six production cycles, indicated that a shift in the calving spread towards later in the calving season occurred in the PRM scenario, and a small improvement in reproductive efficiency evident in the IRM scenario over NRM. The model developed offers a decision support tool with the capability of evaluating practical on-farm management decisions on herd reproductive performance.

The Contribution of Dynamic Simulation Model of Depiction of Knowledge, in the Leading Process of High Technology Companies

2013 ◽  
Vol 543 ◽  
pp. 406-409 ◽  
Author(s):  
Nasiopoulos K. Dimitrios ◽  
Damianos P. Sakas ◽  
D.S. Vlachos
Keyword(s):  
Organizational Culture ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
Knowledge Creation ◽  
Market Competition ◽  
High Technology ◽  
High Tech ◽  
Strategic Decisions ◽  
Dynamic Simulation Model ◽  
The Impact

The purpose of this paper is to examine the impact of knowledge [ creation mode (e.g. goal-driven and goal-free) and organizational culture on knowledge creation and sharing performance in the context of high technology (high-tech) companies [ with the contribution of Dynamic Simulation Model. Both goal-free and goal-framed creation modes are more likely to support knowledge creation, while the goal-driven mode is not likely to be favorable for knowledge creation. The paper has leveraged the systems dynamic paradigm to conduct sustainable enterprise modelling and iThink system to implement the models. High-tech companies who are frequently looking for new ideas for product design [ and manufacturing technologies [ are more likely to adopt the goal-free creation mode. High-tech companies who would like to emphasize goal achievement with respect to creation in manufacturing should form an organizational culture with a characteristic of market competition [. Also, a company with both goal-free and/or goal-framed creation modes is more likely to be willing to frame its strategic decisions (or goals) and then freely look for creative ways to reach the goals.

scholarly journals Study on improving three-dimensional dynamic simulation model and equation of flexible fabric

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985284
Author(s):  
Meiliang Wang ◽  
Mingjun Wang ◽  
Xiaobo Li
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Material Properties ◽  
Three Dimensional ◽  
Equation Solving ◽  
Study Results ◽  
Essential Properties ◽  
Dynamic Simulation Model ◽  
Novel Model ◽  
Simulation Equation

The use of the traditional fabric simulation model evidently shows that it cannot accurately reflect the material properties of the real fabric. This is against the background that the simulation result is artificial or an imitation, which leads to a low simulation equation. In order to solve such problems from occurring, there is need for a novel model that is designed to enhance the essential properties required for a flexible fabric, the simulation effect of the fabric, and the efficiency of simulation equation solving. Therefore, the improvement study results will offer a meaningful and practical understanding within the field of garment automation design, three-dimensional animation, virtual fitting to mention but a few.

scholarly journals Climate-related migration and population health: social science-oriented dynamic simulation model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafael Reuveny
Keyword(s):  
Public Health ◽  
Social Science ◽  
Simulation Model ◽  
Environmental Health ◽  
Dynamic Simulation ◽  
Health Problems ◽  
Ecological Impacts ◽  
Sensitivity Analyses ◽  
Pilot Model ◽  
Dynamic Simulation Model

Abstract Background Social science models find the ecological impacts of climate change (EICC) contribute to internal migration in developing countries and, less so, international migration. Projections expect massive climate-related migration in this century. Nascent research calls to study health, migration, population, and armed conflict potential together, accounting for EICC and other factors. System science offers a way: develop a dynamic simulation model (DSM). We aim to validate the feasibility and usefulness of a pilot DSM intended to serve as a proof-of-concept and a basis for identifying model extensions to make it less simplified and more realistic. Methods Studies have separately examined essential parts. Our DSM integrates their results and computes composites of health problems (HP), health care (HC), non-EICC environmental health problems (EP), and environmental health services (ES) by origin site and by immigrants and natives in a destination site, and conflict risk and intensity per area. The exogenous variables include composites of EICC, sociopolitical, economic, and other factors. We simulate the model for synthetic input values and conduct sensitivity analyses. Results The simulation results refer to generic origin and destination sites anywhere on Earth. The effects’ sizes are likely inaccurate from a real-world view, as our input values are synthetic. Their signs and dynamics are plausible, internally consistent, and, like the sizes, respond logically in sensitivity analyses. Climate migration may harm public health in a host area even with perfect HC/ES qualities and full access; and no HP spillovers across groups, conflict, EICC, and EP. Deviations from these conditions may worsen everyone’s health. We consider adaptation options. Conclusions This work shows we can start developing DSMs to understand climate migration and public health by examining each case with its own inputs. Validation of our pilot model suggests we can use it as intended. We lay a path to making it more realistic for policy analysis.

scholarly journals Dynamic Simulation of Petrochemical Wastewater Treatment Using Wastewater Plant Simulation Software

2018 ◽  
Vol 203 ◽  
pp. 03005
Author(s):  
Idzham Fauzi Mohd Ariff ◽  
Mardhiyah Bakir
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Stable Condition ◽  
Oxygen Demand ◽  
Simulation Software ◽  
Petrochemical Plant ◽  
Dynamic Simulation Model ◽  
Plant Monitoring ◽  
Plant Simulation

A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the simulation model was used to assist in troubleshooting and rectification of a plant upset where ingress of a surfactant compound resulted in high effluent TSS and COD. The model was successfully used in the incident troubleshooting activities and provided critical insights that assisted the plant operators to quickly respond and bring back the system to normal, stable condition.

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