Numerical Modelling of Shape Evolution of Tubular Preform in Spray Forming Process

2011 ◽  
Vol 189-193 ◽  
pp. 2426-2433 ◽  
Author(s):  
Jin Zong Xiang ◽  
Yin Zhang ◽  
Wen Jun Fan ◽  
You Duo He
Keyword(s):  
Mathematical Model ◽  
Numerical Modelling ◽  
Three Dimensional ◽  
Spray Forming ◽  
Geometrical Shape ◽  
Shape Evolution ◽  
Effective Algorithm ◽  
Forming Process ◽  
Movement Parameters

A three-dimensional mathematical model of growth, integrated with a new and effective algorithm for visibility checking, has been established based on a spray forming equipment with three different fixed atomizers in this paper. The model was used to predict the geometrical shape and the thickness profiles of the tubular deposit under various situations. By investigating and discussing the effects of different mandrel movement parameters and spray heights, the optimal atomizer of the equipment to fabricate a tubular preform was identified numerically.

Study of the Effect of Hot Gas on Atomization Quality of Spray Forming

2013 ◽  
Vol 774-776 ◽  
pp. 1190-1193
Author(s):  
Qing Yang ◽  
Ying Dong Qu ◽  
Rui Ming Su ◽  
Bing Kun Zheng ◽  
Yu Sheng Wu
Keyword(s):  
Mathematical Model ◽  
Grain Size ◽  
Grain Shape ◽  
Spray Forming ◽  
Forming Process ◽  
Hot Gas ◽  
Average Grain Size ◽  
Calculation Results ◽  
First Time

In the spray forming process, the atomizing quality is not very good under the low pressure. This article attempts to improve the quality of atomization through heating the gas. A mathematical model is built and calculated according to the existing knowledge, and then the influence of airflow temperature in the spray forming is theoretical calculated and analyzed. The experimental results show that the average grain size is 54μm when the gas is not heated; the average grain size is 39 μm which decreases by 27.7% than airflow unheated when the gas is heated to 150 °C. The calculation results show that when the gas is not heated, the first time atomization grain size is 201 μm, the second time atomization grain size is 15 μm, the total atomization time is 92 μs. And the velocity of atomization droplets is 80 m/s; when the airflow temperature is 150°C, the above results are 131 μm, 10 μm, 76 μs and 127 m/s respectively, the atomization quality has a certain improvement compared to the unheated condition. At the same time, the grain shape becomes more round as the temperature of airflow increases, and the holes between the grains also become smaller.

Metal Spray Forming Process Examined Using Mathematical Model

2008 ◽  
Vol 15 (2) ◽  
pp. 46-50 ◽  
Author(s):  
Yin Zhang ◽  
You-duo He ◽  
Jun-fei Fan ◽  
San-bin Ren
Keyword(s):  
Mathematical Model ◽  
Spray Forming ◽  
Forming Process ◽  
Metal Spray

Mathematical Simulation of Billet Profile during Spray Forming Process

2007 ◽  
Vol 561-565 ◽  
pp. 1961-1966 ◽  
Author(s):  
San Bing Ren ◽  
Jun Fei Fan ◽  
Hai Rong Le ◽  
Shun Li Zhao
Keyword(s):  
Mathematical Model ◽  
Mathematical Simulation ◽  
Process Parameters ◽  
Rotation Speed ◽  
Spray Forming ◽  
Forming Process ◽  
Simulation And Experiment ◽  
Billet Shape ◽  
Eccentric Distance

The parameters of atomizer were obtained from the experiment. Based on the obtained parameters, a mathematical model was proposed to simulate the growing profile of billet during spray forming. The model included some process parameters which relate to the shape profile such as nozzle data, eccentric distance, rotation speed, withdraw speed and so on. After being compared with the billet shape of experiment, we got good consistent results between the simulation and experiment, it was found that the results of the simulation is in good consistent with that of the experiment.

A Real-Time Mathematical Model for Three-Dimensional Tidal Flow and Water Quality

1991 ◽  
Vol 24 (6) ◽  
pp. 171-177 ◽  
Author(s):  
Zeng Fantang ◽  
Xu Zhencheng ◽  
Chen Xiancheng
Keyword(s):  
Mathematical Model ◽  
Water Quality ◽  
Real Time ◽  
Control Volume ◽  
Tidal Flow ◽  
Three Dimensional ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Practical Application ◽  
The Pearl River

A real-time mathematical model for three-dimensional tidal flow and water quality is presented in this paper. A control-volume-based difference method and a “power interpolation distribution” advocated by Patankar (1984) have been employed, and a concept of “separating the top-layer water” has been developed to solve the movable boundary problem. The model is unconditionally stable and convergent. Practical application of the model is illustrated by an example for the Pearl River Estuary.

Principles and approaches for numerical modelling of sediment transport in sewers

1995 ◽  
Vol 31 (7) ◽  
pp. 107-115 ◽  
Author(s):  
Ole Mark ◽  
Cecilia Appelgren ◽  
Torben Larsen
Keyword(s):  
Mathematical Model ◽  
Sediment Transport ◽  
Numerical Modelling ◽  
Simple Application ◽  
Sewer Systems ◽  
Sediment Deposits ◽  
Model Mouse ◽  
Modelling Approaches

A study has been carried out with the objectives of describing the effect of sediment deposits on the hydraulic capacity of sewer systems and to investigate the sediment transport in sewer systems. A result of the study is a mathematical model MOUSE ST which describes sediment transport in sewers. This paper discusses the applicability and the limitations of various modelling approaches and sediment transport formulations in MOUSE ST. Further, the paper presents a simple application of MOUSE ST to the Rya catchment in Gothenburg, Sweden.

sPreparation of ZrO 2 beads by an improved micro‐droplet spray forming process

2021 ◽  
Author(s):  
Jun Chen ◽  
Wan‐Qing Xue ◽  
Chang‐Ming Xu ◽  
Pai‐Feng Luo ◽  
Ji‐Gui Cheng ◽  
...  
Keyword(s):  
Spray Forming ◽  
Forming Process ◽  
Droplet Spray

Research on cargo-loading optimization based on genetic and fuzzy integration

2021 ◽  
Vol 40 (4) ◽  
pp. 8493-8500
Author(s):  
Yanwei Du ◽  
Feng Chen ◽  
Xiaoyi Fan ◽  
Lei Zhang ◽  
Henggang Liang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Three Dimensional ◽  
Distribution Center ◽  
Long Time ◽  
Low Efficiency ◽  
Decision Making Model ◽  
The Mathematical Model ◽  
Loading Scheme

With the increase of the number of loaded goods, the number of optional loading schemes will increase exponentially. It is a long time and low efficiency to determine the loading scheme with experience. Genetic algorithm is a search heuristic algorithm used to solve optimization in the field of computer science artificial intelligence. Genetic algorithm can effectively select the optimal loading scheme but unable to utilize weight and volume capacity of cargo and truck. In this paper, we propose hybrid Genetic and fuzzy logic based cargo-loading decision making model that focus on achieving maximum profit with maximum utilization of weight and volume capacity of cargo and truck. In this paper, first of all, the components of the problem of goods stowage in the distribution center are analyzed systematically, which lays the foundation for the reasonable classification of the problem of goods stowage and the establishment of the mathematical model of the problem of goods stowage. Secondly, the paper abstracts and defines the problem of goods loading in distribution center, establishes the mathematical model for the optimization of single car three-dimensional goods loading, and designs the genetic algorithm for solving the model. Finally, Matlab is used to solve the optimization model of cargo loading, and the good performance of the algorithm is verified by an example. From the performance evaluation analysis, proposed the hybrid system achieve better outcomes than the standard SA model, GA method, and TS strategy.

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