Prediction of Shot Peen Forming Parameters of Integral Aircraft Wing Panels

2006 ◽  
Vol 532-533 ◽  
pp. 937-940 ◽  
Author(s):  
Xian Jie Zhang ◽  
Jun Biao Wang ◽  
Yong Jun Wang ◽  
Ming Jie Qiao
Keyword(s):  
Tensile Strain ◽  
Back Propagation ◽  
Deformation Energy ◽  
Aircraft Wing ◽  
Airfoil Surface ◽  
Bending Deformation ◽  
Forming Parameters ◽  
Peen Forming ◽  
The Difference ◽  
Stretching Deformation

In this paper, algorithms are presented for predicting peen forming parameters of integral aircraft wing panels with complex airfoil shapes. The peen forming deformation is divided into stretching deformation and bending deformation. The stretching deformation is assumed to result from the tensile strain within the plane panel, and the bending deformation corresponds to the difference of maximum and minimum curvature of the airfoil surface. The distribution of the forming tensile strain within the panel is obtained by optimal mapping of the airfoil surface in the sense that the stretching deformation energy from the plane panel to its spatial shape is minimized. In order to fit the nonlinear relation between the peening parameters and the deforming parameters, a back-propagation (BP) artificial neural network (ANN) is modeled with input parameters of thickness, curvature, tensile strain, etc, to predict the peening parameters of coverage, air pressure and intensity. Experimental peen forming data are given to train the BP ANN. It’s verified that the predicting methods are effective.

Effect of prestressed ultrasonic peen forming parameters on bending curvature and spherical deformation of plate

2019 ◽  
Vol 29 (2) ◽  
pp. 270-278
Author(s):  
Tao ZHANG ◽  
Lei LI ◽  
Shi-hong LU ◽  
Jia-bin ZHANG ◽  
Zhen ZHOU ◽  
...  
Keyword(s):  
Forming Parameters ◽  
Peen Forming

Diagnosis of infertility from adenomyosis and endometriosis through entroxon based intelligent water drop back propagation neural networks

2022 ◽  
pp. 1-9
Author(s):  
P. Vijayalakshmi ◽  
K. Muthumanickam ◽  
G. Karthik ◽  
S. Sakthivel
Keyword(s):  
Clustering Algorithm ◽  
Water Drop ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Uterine Wall ◽  
Health Issues ◽  
Testing Dataset ◽  
Proposed Model ◽  
Fuzzy C Means Clustering ◽  
The Difference

Adenomyosis is an abnormality in the uterine wall of women that adversely affects their normal life style. If not treated properly, it may lead to severe health issues. The symptoms of adenomyosis are identified from MRI images. It is a gynaecological disease that may lead to infertility. The presence of red dots in the uterus is the major symptom of adenomyosis. The difference in the extent of these red dots extracted from MRI images shows how significant the deviation from normality is. Thus, we proposed an entroxon-based bio-inspired intelligent water drop back-propagation neural network (BIWDNN) model to discover the probability of infertility being caused by adenomyosis and endometriosis. First, vital features from the images are extracted and segmented, and then they are classified using the fuzzy C-means clustering algorithm. The extracted features are then attributed and compared with a normal person’s extracted attributes. The proposed BIWDNN model is evaluated using training and testing datasets and the predictions are estimated using the testing dataset. The proposed model produces an improved diagnostic precision rate on infertility.

Structure Weight

1953 ◽  
Vol 57 (514) ◽  
pp. 646-652 ◽  
Author(s):  
J. Taylor
Keyword(s):  
Aircraft Wing ◽  
Structural Efficiency ◽  
Bending Loads ◽  
Lower Structure ◽  
The Difference ◽  
Improved Methods ◽  
Shape And Size

This paper is primarily concerned with structure weight as related to aircraft shape and size, rather than with the saving in structure weight that may be brought about by improved methods of construction. The difference in weight due to differences in methods of construction is a question of structural efficiency, and this will not be discussed here. Structure weight, even when expressed as an overall percentage, is not in itself a measure of structural efficiency. If the depth of an aircraft wing were doubled, without altering the lift distribution on the wing, the bending loads would be unaltered so that the resultant end loads in the top and bottom surfaces would be halved. If the second wing had the same weight as the first the structural efficiency would be less. Conversely, if they both had the same structural efficiency the deeper wing would have the lower structure weight

Numerical Modeling and Mechanism Analysis of Hybrid Heating and Shock Process for Laser-Assisted Laser Peen Forming

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
Mingsheng Luo ◽  
Yongxiang Hu ◽  
Dong Qian ◽  
Zhenqiang Yao
Keyword(s):  
Thermal Stress ◽  
Laser Heating ◽  
Laser Peening ◽  
Mechanism Analysis ◽  
Coupled Modeling ◽  
Bending Deformation ◽  
Peen Forming ◽  
Effects Of Temperature ◽  
Capability Improvement ◽  
Thermoelastic Plastic

Laser-assisted laser peen forming (LALPF) is proposed as a hybrid process to combine laser heating and laser peening to improve the bending capability of laser peen forming (LPF) effectively. To predict LALPF-induced bending deformation and mechanism of bending capability improvement, a sequentially coupled modeling approach is established by integrating three models, i.e., a thermoelastic-plastic model to predict the temperature, a dynamic model to obtain the eigenstrain of laser shock, and an eigenstrain model to predict the bending deformation. The effects of temperature, thermal stress, and thermal plastic strain of laser heating and the coupling effects on the bending deformation were investigated. The results show that the interaction of temperature and thermal stress are the dominant factors contributing to the improvement of bending capability.

scholarly journals An Anisotropic Hyperelastic Constitutive Model with Bending Stiffness Interaction for Cord-Rubber Composites: Comparison of Simulation Results with Experimental Data

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Shulei Sun ◽  
Wenguo Chen
Keyword(s):  
Strain Energy ◽  
Tensile Deformation ◽  
Strain Energy Function ◽  
Deformation Energy ◽  
Bending Stiffness ◽  
Fiber Direction ◽  
Rubber Composites ◽  
Bending Deformation ◽  
Current Configuration ◽  
Nonsymmetric Stress

Based on the invariant theory of continuum mechanics by Spencer, the strain energy depends on deformation, fiber direction, and the gradients of the fiber direction in the deformed configuration. The resulting extended theory is very complicated and brings a nonsymmetric stress and couple stress. By introducing the gradient of fiber vector in the current configuration, the strain energy function can be decomposed into volumetric, isochoric, anisotropic, and bending deformation energy. Due to the particularity of bending deformation, the reinforced material has tensile deformation and compression deformation. The bending stiffness should be taken into consideration, and it is further verified by the bending simulation.

Folding deformation modeling and simulation of 4D printed bilayer structures considering the thickness ratio

2019 ◽  
Vol 25 (2) ◽  
pp. 348-361 ◽  
Author(s):  
Zhenyu Liu ◽  
Han Liu ◽  
Guifang Duan ◽  
Jianrong Tan
Keyword(s):  
Energy Density ◽  
Modeling And Simulation ◽  
Density Function ◽  
Thickness Ratio ◽  
Equivalent Transformation ◽  
Deformation Model ◽  
Bilayer Structure ◽  
Bending Deformation ◽  
Stretching Deformation ◽  
Deformation Models

This paper addresses the problem of deformation modeling and simulation of 4D printed polymeric bilayer structures considering the thickness ratio. Through an equivalent transformation, the folding deformation model is transformed into two simpler deformation models, stretching and bending, which greatly reduces the complexity of the modeling problem. The stretching deformation model is developed by Hooke’s law, and based on the final strain of the stretching deformation, which is determined by the thickness ratio, a new hyperelastic energy density function considering the thickness ratio is defined to calculate the energy of the bilayer structure during the bending deformation. According to the new energy density function, the bending deformation model considering the thickness ratio is developed by minimizing the energy of the bilayer structure during the bending deformation. Numerical simulations show encouraging results obtained by the proposed model.

Formation and Development of Strong Cube Recrystallization Texture in an Aluminium of Commercial Purity

2011 ◽  
Vol 702-703 ◽  
pp. 391-397 ◽  
Author(s):  
Anne Laure Helbert ◽  
Wei Wang ◽  
Thierry Baudin ◽  
François Brisset ◽  
Brisset Penelle
Keyword(s):  
Cold Rolling ◽  
Volume Fraction ◽  
Cube Texture ◽  
Deformation Energy ◽  
Processing Route ◽  
Commercial Purity ◽  
Cube Orientation ◽  
The Difference ◽  
Aluminium Sheets ◽  
Purity Grade

The goal of the present study inspired by previous works on high purity aluminiun was to manufacture aluminium sheets of commercial purity, grade 1050, with a strong cube texture. In this preliminary work on AA1050, sheets which cube volume fraction reaches 65% have been manufactured. Parameters controlling cube orientation development are mainly the solute dragging due to impurities in solid solution and the stored deformation energy. Besides the 85% cold rolling (CR), two extra annealings and a slight cold rolling are introduced in the processing route to increase the cube volume fraction. The cube orientation, whose substructure is equiaxed, is important for its recovery. It develops thanks to the difference of stored energy relative to that of its first neighbors; the slight cold rolling enhances growth of these cube grains.

scholarly journals Effect of Ambient Reynolds Number on Small Wind Turbine Subjected to Low Wind Speed Conditions

2021 ◽  
Vol 12 (2) ◽  
pp. 223-231
Author(s):  
Joel Mbwiga ◽  
Cuthbert Z Kimambo ◽  
Joseph Kihedu
Keyword(s):  
Reynolds Number ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Reynolds Numbers ◽  
Design Parameters ◽  
Power Performance ◽  
Airfoil Surface ◽  
Small Wind Turbine ◽  
Low Wind Speed ◽  
The Difference

Wind flow over the airfoil surface is adversely affected by the differences between the design and ambient values of a dimensionless quantity called Reynolds number. Wind turbine designed for high Reynolds Number shows lower maximum power performance when installed in low-speed wind regime. Tanzanian experience shows that some imported modern wind turbines depict lower power performance compared to the drag-type locally manufactured wind turbines. The most probable reason is the difference between design and local ambient Reynolds numbers. The turbine design parameters have their properties restricted to the range of Reynolds numbers for which the turbine was designed for. When a wind turbine designed for a certain range of Reynolds numbers is made to operate in the Reynolds number out of that range, it behaves differently from the embodied design specifications. The small wind turbine of higher Reynolds number will suffer low lift forces with probably occasional stalls.  

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