An Optimum Fatigue Design of Polymer Composite Compressed Natural Gas Tank Using Hybrid Finite Element-Response Surface Methods

Kazem Reza Kashyzadeh; Seyed Saeid Rahimian Koloor; Mostafa Omidi Bidgoli; Michal Petrů; Alireza Amiri Asfarjani

doi:10.3390/polym13040483

An Optimum Fatigue Design of Polymer Composite Compressed Natural Gas Tank Using Hybrid Finite Element-Response Surface Methods

Polymers ◽

10.3390/polym13040483 ◽

2021 ◽

Vol 13 (4) ◽

pp. 483

Author(s):

Kazem Reza Kashyzadeh ◽

Seyed Saeid Rahimian Koloor ◽

Mostafa Omidi Bidgoli ◽

Michal Petrů ◽

Alireza Amiri Asfarjani

Keyword(s):

Finite Element ◽

Fatigue Life ◽

Natural Gas ◽

Response Surface ◽

Polymer Composite ◽

Wall Thickness ◽

Composite Shell ◽

Compressed Natural Gas ◽

Fiber Angle ◽

Composite Tank

The main purpose of this research is to design a high-fatigue performance hoop wrapped compressed natural gas (CNG) composite cylinder. To this end, an optimization algorithm was presented as a combination of finite element simulation (FES) and response surface analysis (RSA). The geometrical model was prepared as a variable wall-thickness following the experimental measurements. Next, transient dynamic analysis was performed subjected to the refueling process, including the minimum and maximum internal pressures of 20 and 200 bar, respectively. The time histories of stress tensor components were extracted in the critical region. Furthermore, RSA was utilized to investigate the interaction effects of various polymer composite shell manufacturing process parameters (thickness and fiber angle) on the fatigue life of polymer composite CNG pressure tank (type-4). In the optimization procedure, four parameters including wall-thickness of the composite shell in three different sections of the CNG tank and fiber angle were considered as input variables. In addition, the maximum principal stress of the component was considered as the objective function. Eventually, the fatigue life of the polymer composite tank was calculated using stress-based failure criterion. The results indicated that the proposed new design (applying optimal parameters) leads to improve the fatigue life of the polymer composite tank with polyethylene liner about 2.4 times in comparison with the initial design.

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Numerical study of hydrogen addition on the performance and emission characteristics of compressed natural gas spark-ignition engine using response surface methodology and multi-objective desirability approach

International Journal of Engine Research ◽

10.1177/1468087420945902 ◽

2020 ◽

pp. 146808742094590

Author(s):

Homayoun Boodaghi ◽

Mir Majid Etghani ◽

Korosh Sedighi

Keyword(s):

Response Surface Methodology ◽

Natural Gas ◽

Response Surface ◽

Fuel Consumption ◽

Spark Ignition Engine ◽

Brake Specific Fuel Consumption ◽

Compressed Natural Gas ◽

Multi Objective ◽

Desirability Approach ◽

Gas Ratio

Today, the demand for higher output efficiencies, lower fuel consumption, and ever reduced emissions has been rising. Due to its availability, one promising alternative is the applying of hydrogen in internal combustion engines. In this study, the initial efforts concentrated on combine relationships of input and output parameters of hydrogen compressed natural gas spark-ignition engine. The quadratic regression models were conducted for all six responses: torque, carbon monoxide, brake-specific fuel consumption, methane, nitrogen oxides, and total hydrocarbon through response surface methodology and tested for adequacy by analysis of variance. The multi-objective desirability approach employed for the optimization of input variables, namely, the hydrogen compressed natural gas ratio, excess air ratio ( λ), and ignition timing ( θi). Also, two factors, that is, manifold absolute pressure and engine speed, were fixed at 105 kPa and 1600 r/min, respectively. Results indicate that the optimal independent input factors are equal to λ of 1.178, hydrogen compressed natural gas ratio of 25.98%, and θi of 18 °CA before top dead center. Also, the optimal combination of responses is as follows: brake-specific fuel consumption of 219.334 g/kWh, the torque of 395 N m, 30.189 g/kWh for nitrogen oxides, carbon monoxide equal to 5.093 g/kWh, total hydrocarbon of 0.633 g/kWh, and 0.572 g/kWh for methane. This study provided the significance of response surface methodology as an attractive technique for investigators for modeling. In this regard, the response surface methodology modeling and multi-objective desirability approach can be utilized to predict the emission and performance characteristics of the hydrogen compressed natural gas engines minutely.

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The Simulation and Assessment of Compressed Natural Gas Storage Well With Defects

Journal of Pressure Vessel Technology ◽

10.1115/1.4006344 ◽

2012 ◽

Vol 134 (6) ◽

Author(s):

Wei Tan ◽

JinJun Zhang ◽

WeiFei Niu ◽

ZeJun Wang ◽

ShiLai Wang ◽

...

Keyword(s):

Finite Element ◽

Natural Gas ◽

Iterative Methods ◽

Fem Analysis ◽

Limit Load ◽

Liquefied Petroleum Gas ◽

Element Analysis ◽

Compressed Natural Gas ◽

Load Analysis ◽

Influence Radius

Compressed natural gas (CNG) is a fossil fuel substitute for gasoline (petrol), diesel, or propane/LPG (liquefied petroleum gas). Nowadays, there are three ways used to store CNG: gas bottles group, jumbo tubes trailer, and CNG storage well. The technology of storage well came into use in the early 1990s in China and nowadays, there are more than 5000 CNG storage wells in use. In this paper, the CNG storage well is introduced with the structure, advantages, and the technology of construction. Compared with other CNG containers, storage well has the following advantages: safer and more reliable, accident-preventive, space-saving, and longer life expectancy. The feasibility of IRIS (internal rotary system) used for storage well NDT (Nondestructive testing) is also studied. And the CNG well with defects are assessed as well. To investigate the validity of IRIS in detecting the storage well, an interval casing with man-made defects is tested. FEM (finite element method), combined with the method in JB4732 (Chinese industry standard) is used to analyze the storage well with inner corrosion pits, and evaluate the fatigue life. The linear elastic FEA (finite element analysis) of storage with single, two, and three defects is performed. The limit load analysis is also discussed with two different iterative methods. The result shows that IRIS can be used in detecting internal and external defects and recording the information. The simulation indicates that the pit along the axis direction is more dangerous than the one on any other direction and the influence radius of pit is the length of defect. The two different iterative methods used in limit load analysis finally lead to a consensus. The IRIS can be adopted in storage well. It can detect the defects on the internal and external surface of casing and record the detailed information. A database should be built to record defect information for each storage well. On the basis of IRIS detection and FEM analysis, determines whether a well can survive or not until next detection carried on by the method proposed in this paper.

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