Mathematical model analysis of axisymmetric nozzle performance prediction for complex system based on numerical simulation

This article addresses the challenges in the periodic law of high-frequency motion and effectively identifies the influence of high-frequency motion on ship dynamic positioning. The main aim of the article is to design a dynamic positioning filter by applying nonlinear adaptive technology to eliminate the disturbance to the ship’s dynamic propulsion system. This article proposes a method to control the ship’s dynamic positioning and apply nonlinear adaptive technology in the dynamic positioning control in order to obtain the ship’s state and reference coordinate system. Further, a mathematical model and a dynamic environmental model in ship dynamic positioning control are analyzed in this work. The control index model is located by the experimental data, and the control performance is improved within the allowable range. The experimental analysis revealed that if the initial position of the ship is (0, 0, 0), then the desired position is (100, 100, 0). The operating ranges of –0.6 × 107 to 0.6 × 107, –0.4 × 107 to 0.4 × 107, and –5.6 × 108 to 5.6 × 108 are used. The ranges of motion of –150 to 150, –130 to 130, and –5 to 5 are observed, respectively, along with a wind disturbance force of 8 m/s. The wave disturbance force of 1 m/s is observed along with 90° wind. It was observed from the experimentation that the ship could basically achieve a stable operation and control the environmental disturbance within the error range. The outcomes reveal that the proposed dynamic positioning model based on nonlinear adaptive technology has strong stability and accuracy.

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Application of nonlinear adaptive technology in GPS positioning trajectory of ship navigation

Dong

Yin

2022

Nonlinear Engineering

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Software engineering defect detection and classification system based on artificial intelligence

Wang

Yuan

2022

Nonlinear Engineering

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With the increasing reliance on automatic software-based applications, it is important to automate the classification of software defects and ensure software reliability. An automatic software defect classification system based on an expert system is proposed in this article. In this method, DACS first determines the category of software defects through the selection of typical features, then reduces the spatial knowledge base searched by the inference engine and selects the characteristics of a certain type of defect. Make a selection, determine the name of the defect, and finally select different causes and prevention methods for the defect as needed. The DACS structure was built, and the experiment showed that the AI system took 15 s to complete, whereas the traditional mechanism took 48 s; the accuracy of the AI was 99%, whereas the accuracy of the traditional mechanism was only 68%. According to the aforementioned experimental results, the recognition accuracy of the proposed research scheme is higher than that of the traditional mechanism. Hence, the time required to solve the problem of software engineering defect detection and classification is less than that of the traditional mechanism.

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Numerical analysis of vibration response of elastic tube bundle of heat exchanger based on fluid structure coupling analysis

Su¹,

Tao²,

Liu

2023

Nonlinear Engineering

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A tube bundle heat exchanger is a typical heat exchange equipment that exchanges heat between two fluids with different temperatures. Through this equipment, one fluid can be cooled down and another fluid can be heated up to meet their respective needs. The equipment is widely used in chemical, petroleum, pharmaceutical, energy, and other industrial sectors, and is one of the indispensable and important equipments in chemical production. To improve the heat transfer performance and service life of the heat exchanger, a numerical analysis of the vibration response of the elastic tube bundle in the heat exchanger based on fluid–structure coupling analysis is proposed. Using the weak coupling method of fluid–structure coupling, the vibration response of multiple rows of elastic tube bundles induced by shell side fluid in a heat exchanger with different tube row spacing and different tube row numbers is studied numerically, and the effects of shell side fluid and tube side fluid on the vibration response of elastic tube bundles are compared and analyzed. The results show that the maximum relative error of monitoring point amplitude is 43.36% when H = 40 mm and 10.17% when H = 70 mm. For connection IV, the maximum relative error of monitoring point amplitude is 31.71% when H = 40 mm and 24.08% when H = 70 mm. This is because when H is small, the interaction between rows of tube bundles is strong, so the amplitude changes violently with the number of the tube bundle. The step-by-step calculation strategy of rough calculation and actuarial calculation proposed in this article can greatly reduce the calculation time and improve the calculation efficiency.

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Mathematical model analysis of axisymmetric nozzle performance prediction for complex system based on numerical simulation

Cited by 3 publications

References 28 publications

Application of nonlinear adaptive technology in GPS positioning trajectory of ship navigation

Application of nonlinear adaptive technology in GPS positioning trajectory of ship navigation

Software engineering defect detection and classification system based on artificial intelligence

Numerical analysis of vibration response of elastic tube bundle of heat exchanger based on fluid structure coupling analysis

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