scholarly journals Numerical simulation of dynamic multi-body separation flowfields

2020 ◽  
Vol 1509 ◽  
pp. 012023
Author(s):  
Bing Han ◽  
Zhenxun Gao ◽  
Chongwen Jiang
Author(s):  
G Virzì Mariotti ◽  
G Ficarra

The research reported in this paper aims to simulate the road-holding of a virtual vehicle using multi-body simulation to estimate both the contact forces between the tyre and ground and the roll motion when cornering. Furthermore, the effect of the characteristic angles on the variation in the forces of the tyre in contact with the ground is studied to determine optimal values for these angles. Emphasis is placed on an average-class vehicle, of which both the external dimensions and mass are chosen appropriately, with a McPherson suspension mounted on both the front and the rear. The characteristic values of the camber and toe-in angles, in both the front and the rear, are optimized for motion in the curve under constant traction. The results of numerical simulation are compared with results from the theory of stability in the curve (given the vertical configuration of the vehicle).


2021 ◽  
Vol 9 (11) ◽  
pp. 1221
Author(s):  
Weixin Zhang ◽  
Ye Li ◽  
Yulei Liao ◽  
Qi Jia ◽  
Kaiwen Pan

The wave-driven catamaran is a small surface vehicle driven by ocean waves. It consists of a hull and hydrofoils, and has a multi-body dynamic structure. The process of moving from static state to autonomous navigation driven by ocean waves is called “self-propulsion”, and reflects the ability of the wave-driven catamaran to absorb oceanic wave energy. Considering the importance of the design of the wave-driven catamaran, its self-propulsion performance should be comprehensively analysed. However, the wave-driven catamaran’s multi-body dynamic structure, unpredictable dynamic and kinematic responses driven by waves make it difficult to analyse its self-propulsion performance. In this paper, firstly, a multi-body dynamic model is established for wave-driven catamaran. Secondly, a two-phase numerical flow field containing water and air is established. Thirdly, a numerical simulation method for the self-propulsion process of the wave-driven catamaran is proposed by combining the multi-body dynamic model with a numerical flow field. Through numerical simulation, the hydrodynamic response, including the thrust of the hydrofoils, the resistance of the hull and the sailing velocity of the wave-driven catamaran are identified and comprehensively analysed. Lastly, the accuracy of the numerical simulation results is verified through a self-propulsion test in a towing tank. In contrast with previous research, this method combines multi-body dynamics with computational fluid dynamics (CFD) to avoid errors caused by artificially setting the motion mode of the catamaran, and calculates the real velocity of the catamaran.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Smiljko Rudan ◽  
Irena Radić Rossi

Over the past decade, photogrammetric recording and virtual 3D modelling have evolved as a standard practice in documenting shipwreck sites. Exploiting the same methods, we can attempt to virtually reconstruct the dynamics of an accident leading to the creation of an archaeological site. By applying modern engineering tools capable of deploying multi-body system dynamics to simulate the damaging, capsizing and/or sinking of a ship, we can model and analyse the various possible scenarios of an incident occurring to an ancient merchantman. Subsequently, we can establish the correlation between the characteristics of the actual shipwreck site, and the outcome of the numerical simulation of the assumed scenario.


2015 ◽  
Vol 642 ◽  
pp. 317-322
Author(s):  
Yunn Lin Hwang ◽  
Van Thuan Truong

In this paper, a synchronous approach for dynamic simulation of machine tools is described. Computer Aided Engineering (CAE) method models and analyzes a dynamical parameter prototype of machine tools. In which, the flexible structure, interactive movement, non-linear factor effects as well as characteristics of resonance frequencies and mechanical transfer function are considered. The integrating Finite Element Method (FEM), Multi-Body Dynamics (MBD) and control carries out a solution of machine tools simulation for predicting dynamic machine behaviors. The static analysis and modal analysis of components are presented with sample examples. Cybernetic characteristics like Bode diagram and such a controller are implemented for movement tailors. The synchronous approach deduces a practically technical method for machines tools.


2014 ◽  
Vol 56 (3) ◽  
pp. 1450014-1-1450014-26 ◽  
Author(s):  
Ling-Hui Yu ◽  
Jie-Min Zhan ◽  
Yok-Sheung Li

2021 ◽  
Vol 9 (2) ◽  
pp. 140
Author(s):  
Hansheng Li ◽  
Fenglei Han ◽  
Haitao Zhu ◽  
Jiawei Zhang ◽  
Weipeng Zhang ◽  
...  

Diver propulsion vehicles (hereinafter referred to as DPV) are a kind of small vehicle with underwater high-speed used by divers, who are able to grasp or ride on, and operate the volume switch to change the speed. Different from unmanned underwater vehicles (UUVs), the interference caused by diver’s posture changing is a unique problem. In this paper, a Diver–DPV multi-body coupling hydrodynamic model considering rigid body dynamics and fluid disturbance is established by analyzing the existing DPV related equipment. The numerical simulation of multi-body articulated motion is realized by using Star-CCM+ overlapping grid and DFBI 6-DOF body motion method. Five cases of DPVs underwater cruising in a straight-line when restraining diver movement is simulated, and five cases with free diver movement are simulated too. Finally, the influence of the diver’s posture changing on the cruising speed resistance is analyzed, and the motion equation including the disturbance is solved. The final conclusion is that, the disturbance is favorable at high speed, which can reduce the cruising resistance, and unfavorable at low speed, which increases the cruising resistance. The friction resistance Ff always accounts for the main part in all speed cases.


Energy ◽  
2018 ◽  
Vol 152 ◽  
pp. 601-612 ◽  
Author(s):  
Youliang Cheng ◽  
Zhanpu Xue ◽  
Tuo Jiang ◽  
Wenyang Wang ◽  
Yuekun Wang

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