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.

Mathematical Simulation of Billet Profile during Spray Forming Process

2007 ◽  
pp. 1961-1966
Author(s):  
San Bing Ren ◽  
Jun Fei Fan ◽  
Hai Rong Le ◽  
Shun Li Zhao
Keyword(s):  
Mathematical Simulation ◽  
Spray Forming ◽  
Forming Process

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.

Spray Forming of AZ91 Magnesium Alloys with and without Si Addition

2005 ◽  
Vol 475-479 ◽  
pp. 2789-2794 ◽  
Author(s):  
C.Y. Chen ◽  
Chi Y.A. Tsao
Keyword(s):  
Magnesium Alloys ◽  
Rapid Solidification ◽  
Process Parameters ◽  
Spray Forming ◽  
Mg Alloys ◽  
Forming Process ◽  
Porosity Level ◽  
Az91 Magnesium ◽  
Fast Cooling ◽  
Si Addition

ray forming was employed to refine the microstructures of AZ91 and AZ91-3.34wt%Si Mg alloys during solidification by means of rapid solidification generated at atomization and droplet flight stages. The process parameters of spray forming were varied to reduce the porosity level and improve the morphology of the billet preforms. As-spray-formed microstructures were characterized using OM, SEM/EDS, and XRD, which were compared with as-cast microstructures. The significant differences of grains, Mg2Si and Mg17Al12 in morphology and in size between as-spray-fromed and as-cast materials are mainly due to fast cooling and solidification rates of spray forming process. Supersaturated matrix is found in as-spray-formed materials due to rapid solidification generated by spray forming. Overall, spray-formed materials are shown to have four characteristics, which are much finer microstructures, uniformly distributed phases, equiaxed-shaped phases, and supersaturated matrix.

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

Influence of spray forming process parameters on the microstructure and porosity of Mg2 Si rich aluminum alloys

2010 ◽  
Vol 41 (7) ◽  
pp. 532-540 ◽  
Author(s):  
N. Ellendt ◽  
O. Stelling ◽  
V. Uhlenwinkel ◽  
A. von Hehl ◽  
P. Krug
Keyword(s):  
Aluminum Alloys ◽  
Process Parameters ◽  
Spray Forming ◽  
Forming Process

Pulse-Width Modulated Amplifier for DC Servo System and Its Matlab Simulation

2015 ◽  
Vol 9 (1) ◽  
pp. 625-631
Author(s):  
Ma Xiaocheng ◽  
Zhang Haotian ◽  
Cheng Yiqing ◽  
Zhu Lina ◽  
Wu Dan
Keyword(s):  
Mathematical Model ◽  
Transfer Function ◽  
Input Signal ◽  
Pulse Width ◽  
Rotation Speed ◽  
Servo Motor ◽  
Matlab Simulation ◽  
Pulse Width Modulated ◽  
Signal Changes ◽  
The Relationship

This paper introduces a mathematical model for Pulse-Width Modulated Amplifier for DC Servo Motor. The relationship between pulse-width modulated (PWM) signal and reference rotation speed is specified, and a general model of motor represented by transfer function is also put forward. When the input signal changes, the rotation speed of the servo motor will change accordingly. By changing zeros and poles, transient performance of this system is discussed in detail, and optimal ranges of the parameters is recommended at the end of discussion.

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

The Numerical Analysis of the Velocity and Pressure Distribution of the Oil Film in Heavy Hydrostatic Thrust Bearing

2014 ◽  
Vol 541-542 ◽  
pp. 658-662
Author(s):  
Jian Li ◽  
Yuan Chen ◽  
Yang Chun Yu ◽  
Zhu Xin Tian ◽  
Yu Huang
Keyword(s):  
Mathematical Model ◽  
Numerical Analysis ◽  
Pressure Distribution ◽  
Working Conditions ◽  
Thrust Bearing ◽  
Rotation Speed ◽  
The Other ◽  
Surface Load ◽  
Oil Film ◽  
Volume Method

To study the velocity and pressure distribution of the oil film in a heavy hydrostatic thrust bearing, a mathematical model of the velocity is proposed and the finite volume method (FVM) has been used to simulate the flow field under different working conditions. Some pressure experiments were carried out and the results verified the correctness of the simulation. It is concluded that the pressure distribution varies small under different rotation speed when the surface load on the workbench is constant. But the velocity of the oil film is influenced greatly by the rotation speed. When the rotation speed of the workbench is as quick as enough, the velocity of the oil film on one radial side of the pad will be zero, that is to say the lubrication oil will be drained from the other three sides of the recess.

scholarly journals Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

2021 ◽  
Author(s):  
Sherwan Mohammed Najm ◽  
Imre Paniti
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Process Parameters ◽  
Single Point ◽  
Tool Material ◽  
Deformation Mode ◽  
Geometric Accuracy ◽  
Forming Process ◽  
Tool Shape ◽  
Artificial Neural

AbstractIncremental Sheet Forming (ISF) has attracted attention due to its flexibility as far as its forming process and complexity in the deformation mode are concerned. Single Point Incremental Forming (SPIF) is one of the major types of ISF, which also constitutes the simplest type of ISF. If sufficient quality and accuracy without defects are desired, for the production of an ISF component, optimal parameters of the ISF process should be selected. In order to do that, an initial prediction of formability and geometric accuracy helps researchers select proper parameters when forming components using SPIF. In this process, selected parameters are tool materials and shapes. As evidenced by earlier studies, multiple forming tests with different process parameters have been conducted to experimentally explore such parameters when using SPIF. With regard to the range of these parameters, in the scope of this study, the influence of tool material, tool shape, tool-end corner radius, and tool surface roughness (Ra/Rz) were investigated experimentally on SPIF components: the studied factors include the formability and geometric accuracy of formed parts. In order to produce a well-established study, an appropriate modeling tool was needed. To this end, with the help of adopting the data collected from 108 components formed with the help of SPIF, Artificial Neural Network (ANN) was used to explore and determine proper materials and the geometry of forming tools: thus, ANN was applied to predict the formability and geometric accuracy as output. Process parameters were used as input data for the created ANN relying on actual values obtained from experimental components. In addition, an analytical equation was generated for each output based on the extracted weight and bias of the best network prediction. Compared to the experimental approach, analytical equations enable the researcher to estimate parameter values within a relatively short time and in a practicable way. Also, an estimate of Relative Importance (RI) of SPIF parameters (generated with the help of the partitioning weight method) concerning the expected output is also presented in the study. One of the key findings is that tool characteristics play an essential role in all predictions and fundamentally impact the final products.

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