In this work, it is planned to model the formability of various grades of aluminium sheet metals using ANN and optimization is done using ANFIS. Formability test is performed on aluminium sheet metals Al5052, Al6061 and Al8011 with thickness 0.8 mm, 1 mm and 1.2 mm. Forming limit diagrams are constructed using strain values obtained from the test. Tensile tests are conducted on the sheet samples and the important mechanical properties which affect the formability are measured and calculated. Using the forming limit strains at different states namely tension-tension, plane strain and tension-compression, modeling is done using ANN and optimization is performed using ANFIS. The architecture 7–14-14–9 is found to be the optimum and it is used ...
Based on three anisotropic yield functions including Karafillis–Boyce (K–B), Yld96 and Yld2011, dire...
AbstractThe conventional forming limit diagram (FLD) is described as a plot of major strain versus m...
This paper mainly proposes two kinds of artificial neural network (ANN) models for predicting the pl...
In this paper, the influence of tensile and formability parameters on the forming limit diagram is r...
Warm stamping techniques have been employed to solve the formability problem in forming aluminium al...
The goal of the present work is evaluated mechanical properties and forming limit diagrams of ambien...
Multivariable empirical models based on artificial neural networks were developed in order to predic...
Forming is a compression-tension process involving a wide spectrum of operations and flow conditions...
The ability of a sheet metal to be formed in a given process without failure is known as formability...
International audienceThe formability of aluminum alloy sheet metal is a key issue in its design, an...
AbstractIn sheet metal industries, the ability to predict and avoid failures, such as necking, fract...
The formability of a material is an important consideration in the design of manufacturing processes...
The Forming Limit Diagram (FLD) is a widely used concept to represent the formability of thin metall...
Abstract The present study investigated the forming limit diagrams (FLDs) of aluminum alloy 6063 she...
Sheet metal forming operations play a crucial role in the manufacturing process of various products....
Based on three anisotropic yield functions including Karafillis–Boyce (K–B), Yld96 and Yld2011, dire...
AbstractThe conventional forming limit diagram (FLD) is described as a plot of major strain versus m...
This paper mainly proposes two kinds of artificial neural network (ANN) models for predicting the pl...
In this paper, the influence of tensile and formability parameters on the forming limit diagram is r...
Warm stamping techniques have been employed to solve the formability problem in forming aluminium al...
The goal of the present work is evaluated mechanical properties and forming limit diagrams of ambien...
Multivariable empirical models based on artificial neural networks were developed in order to predic...
Forming is a compression-tension process involving a wide spectrum of operations and flow conditions...
The ability of a sheet metal to be formed in a given process without failure is known as formability...
International audienceThe formability of aluminum alloy sheet metal is a key issue in its design, an...
AbstractIn sheet metal industries, the ability to predict and avoid failures, such as necking, fract...
The formability of a material is an important consideration in the design of manufacturing processes...
The Forming Limit Diagram (FLD) is a widely used concept to represent the formability of thin metall...
Abstract The present study investigated the forming limit diagrams (FLDs) of aluminum alloy 6063 she...
Sheet metal forming operations play a crucial role in the manufacturing process of various products....
Based on three anisotropic yield functions including Karafillis–Boyce (K–B), Yld96 and Yld2011, dire...
AbstractThe conventional forming limit diagram (FLD) is described as a plot of major strain versus m...
This paper mainly proposes two kinds of artificial neural network (ANN) models for predicting the pl...