Numerical simulation of the motions of one deep-sea DP3 MPV in oblique waves using the PID algorithm

2015 ◽  
pp. 573-580
Author(s):  
Peng Xie ◽  
Hanbing Luo
Keyword(s):  
Numerical Simulation ◽  
Deep Sea ◽  
Oblique Waves ◽  
Pid Algorithm

Numerical Simulation of Subsea Cluster Manifold Installation by the Sheave Method

2018 ◽  
Author(s):  
Yu Zhao ◽  
Yingying Wang ◽  
Liwei Li ◽  
Chao Yang ◽  
Yang Du ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Mathematical Model ◽  
South China Sea ◽  
Deep Sea ◽  
High Reliability ◽  
Two Dimensional ◽  
Complex Environment ◽  
Lumped Mass ◽  
Lumped Mass Method ◽  
The Mathematical Model

The sheave installation method (SIM) is an effective and non-conventional method to solve the installation of subsea equipment in deep water (>1000m), which has been developed to deploy the 175t Roncador Manifold I into 1,885 meters water depth in 2002. With the weight increment of subsea cluster manifold, how to solve its installation with the high reliability in the deep sea is still a great challenge. In this paper, the installation of the 300t subsea cluster manifold using the SIM is studied in the two-dimensional coordinate system. The mathematical model is established and the lumped mass method is used to calculate the hydrodynamic forces of the wireropes. Taking into account the complex environment loads, the numerical simulation of the lowering process is carried out by OrcaFlex. The displacement and vibration of the subsea cluster manifold in the z-axis direction and the effective tension at the top of the wireropes can be gotten, which can provide guidance for the installation of the cluster manifold in the South China Sea.

Numerical Simulation of Mechanical Characteristics of a Metal Net for Deep-Sea Aquaculture

2019 ◽  
Vol 18 (6) ◽  
pp. 1273-1281
Author(s):  
Changping Chen ◽  
Hangfei Liu ◽  
Yu Huang ◽  
Jie Yang ◽  
Xinyu Liang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Deep Sea ◽  
Mechanical Characteristics

A geometrically exact formulation for three-dimensional numerical simulation of the umbilical cable in a deep-sea ROV system

2015 ◽  
Vol 29 (2) ◽  
pp. 223-240 ◽  
Author(s):  
Wei-cai Quan ◽  
Zhu-ying Zhang ◽  
Ai-qun Zhang ◽  
Qi-feng Zhang ◽  
Yu Tian
Keyword(s):  
Numerical Simulation ◽  
Deep Sea ◽  
Three Dimensional ◽  
Exact Formulation ◽  
Umbilical Cable

Numerical Simulation of the Fuel-Oil Cooling Process in Wrecked Ship

2005 ◽  
Author(s):  
J. M. Ferna´ndez Oro ◽  
C. Santolaria Morros ◽  
K. M. Argu¨elles Di´az ◽  
P. L. Garci´a Ybarra
Keyword(s):  
Numerical Simulation ◽  
Deep Sea ◽  
Sea Water ◽  
Characteristic Temperature ◽  
Thermal Conditions ◽  
Fuel Oil ◽  
Navier Stokes ◽  
Cooling Process ◽  
Order Of Magnitude ◽  
Definition Of

This work deals with a numerical simulation developed to predict the characteristic cooling times of a low-thermal diffusivity fuel-oil confined in the tanks of a wrecked ship. A typical scenario has been introduced, through the definition of tanks geometries, physical boundary conditions (deep sea temperatures) and reological properties of the fuel-oil. The fluidynamic behaviour of the oil (forced convection) inside the tanks, as well as the heat exchange with surrounding sea water has been simulated throughout a commercial code, FLUENT, that solves directly the Navier-Stokes set of equations, including energy one. The purpose is focused on the prediction of both spatial and temporal evolution of the fuel-oil characteristic temperature inside the tanks. The final objective is placed on the determination of the deadline in which asymptotic temperature curve of the fuel-oil converges to deep sea thermal conditions. Inspectional analysis is also outlined, as a powerful tool to predict an order of magnitude in the cooling process.

Numerical Simulation of the Fuel Oil Cooling Process in a Wrecked Ship

2006 ◽  
Vol 128 (6) ◽  
pp. 1390-1393 ◽  
Author(s):  
Jesús Manuel Fernández Oro ◽  
Carlos Santolaria Morros ◽  
Katia María Argüelles Díaz ◽  
Pedro Luis García Ybarra
Keyword(s):  
Numerical Simulation ◽  
Deep Sea ◽  
Sea Water ◽  
Fluid Dynamic ◽  
Characteristic Temperature ◽  
Thermal Conditions ◽  
Fuel Oil ◽  
Navier Stokes ◽  
Cooling Process ◽  
Order Of Magnitude

This work deals with a numerical simulation developed to predict the characteristic cooling times of a low-thermal diffusivity fuel oil confined in the tanks of a wrecked ship. A typical scenario has been introduced through the definition of tank geometries, physical boundary conditions (deep sea temperatures), and rheological properties of the fuel oil. The fluid dynamic behavior of the oil (free convection) inside the tanks, as well as the heat exchange with surrounding sea water has been simulated using a commercial code, FLUENT, which directly solves the Navier-Stokes set of equations, including energy. The purpose is focused on the prediction of both spatial and temporal evolution of the fuel oil characteristic temperature inside the tanks. The objective is to determine the deadline in which the asymptotic temperature curve of the fuel oil converges with deep sea thermal conditions. Inspectional analysis is also outlined, as a powerful tool to predict an order of magnitude in the cooling process.

scholarly journals Two-Roller Continuous Calibration Process by Compression for Submarine Pipelines

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1224
Author(s):  
Deping Peng ◽  
Zhongwang Gong ◽  
Shumin Zhang ◽  
Gaochao Yu
Keyword(s):  
Numerical Simulation ◽  
Deep Sea ◽  
Oil And Gas ◽  
Reduction Ratio ◽  
Shape Design ◽  
Stress And Strain ◽  
Physical Experiments ◽  
Simulation And Experiment ◽  
Initial Placement ◽  
Distribution Of Stress

Submarine pipeline is a key part in the development of deep sea and ultra-deep sea oil and gas. In order to reduce the ovality of pipes and improve their compressive strength, a two-roller continuous calibration (TRCC) process by compression is proposed. A springback analysis of compress bending is carried out, and an analytical model is established, which predicts ovality after calibration and provides a theoretical basis for roller shape design and process parameter formulation. Numerical simulation and physical experiments are carried out. The distribution of stress and strain is analyzed. The effects of initial ovality, reduction ratio and initial placement angle on the ovality after calibration are studied. When the reduction ratio is about 1%, the ovality is optimal. The theoretical analysis shows that the ovality after calibration is about 0.03%, and the ovality after calibration by numerical simulation and experiment is less than 0.45%, proving the feasibility of the process.

The Pneumatic Feeding System of Electrospinning Based on Numerical Simulation and System Identification

2011 ◽  
Vol 121-126 ◽  
pp. 2994-2997
Author(s):  
Qiang Gao Wang ◽  
Da Li Liu ◽  
Lin Nan Han ◽  
Yuan Yuan Liu ◽  
Qing Xi Hu
Keyword(s):  
Numerical Simulation ◽  
Least Squares ◽  
Recursive Least Squares ◽  
Feeding System ◽  
Exit Velocity ◽  
Pid Algorithm ◽  
Pneumatic Device ◽  
Nano Fiber ◽  
The Stability ◽  
System Controller

Electrospinning, which is a technology to make nano fiber, has quite high requirements of the speed of feeding. In order to solve the unstable phenomenon, salivation, and achieve the stability of quality, numerical simulation is used to compute the nozzle exit pressure and exit velocity, while recursive least squares is used to identify of the results of the simulation. At last, PID algorithm and recursive least squares methods are combined together to form a model for the feeding system controller. And the pneumatic device and pressure sensor are used to build electrospinning feeding system. Finally, experimental verification PEO solution is used to verify this method, no drooling electrospinning phenomenon happens

PID Control System for a Distributed Parameter Process

2014 ◽  
Vol 555 ◽  
pp. 222-231 ◽  
Author(s):  
Mihaela Ligia Ungureşan ◽  
Vlad Mureşan
Keyword(s):  
Differential Equation ◽  
Numerical Simulation ◽  
Partial Differential Equation ◽  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
Distributed Parameter ◽  
Partial Differential ◽  
Pid Algorithm

This paper presents the numerical simulation of a control system, with PID algorithm, for a process modeled through a partial differential equation of second order (PDE II.2), with respect to time (t) and to a spatial variable (p). Because these types of control systems are less usual, this paper develops a case study, with a program run on the computer. The details of using the PID control are pointed out, for an example of a system which contains a process with PDE II.2 structure.

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