Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 2025

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Comparison Between Low-Carbon Steel and Galvanized Steel by Deep Drawing Under the Influence of Different Parameters

Abdullah Mostafa Adel, Abed Aseel Hamad, Mansor Khalida Kadhim

Management Systems in Production Engineering

2025

nr 2 (33)

163--170

Deep drawing is used to make a lot of different shapes. The purpose of this paper is to evaluate the thickness alteration behavior of deep-drawn cylindrical cups with dimensions (41.5 mm) and high (30 mm) under the influence of diverse factors such as the radius of the die’s (Rd = 9, 6.3 mm), velocity (v = 100, 300, 500 mm/min), thickness (to = 0.7, 0.5 mm), and the kind of metals used (L.c. steel and G. steel). ANSYS Workbench 21.0 software was used to implement the numerical simulation process, followed by constructing a cylindrical cup. The results reveal the highest thinning thickness (10.062% FEA, 15.626% EXP) in the curve area of the cup with low-carbon steel (to = 0.7 mm), while growth in punch speed and a decrease in the radius of the die results in higher thinning. The findings revealed a good agreement between experimental and numerical work, with the highest discrepancy being 5%. The galvanized steel metal demonstrated superiority in the cup’s curve region, where the thinning rate was less than 2.35% compared to the low-carbon steel. Working with smaller radii makes the cup break while working with larger radii makes it wrinkle more. So, intermediate radii, which are four to ten times the width of the piece, need to be worked.

Prediction of the mechanical properties for 3D printed rapid prototypes based on artificial neural network

Al-Bdairy Ali Mohammed Jassem, Ghazi Safaa Kadhim, Abed Aseel Hamad

Advances in Science and Technology. Research Journal

2025

Vol. 19, no. 3

96--107

With development of Additive Manufacturing (AM) especially the 3D printing technology, make it the widespread application for 3D prototypes in industrials, engineering jawless, biomedical and others filed. In the present work focused on the 3D printing problems that associated to selecting proper printing parameters. Based on the experimental and ANN the effect of printing speed, printing temperature, layer height, and number of top shells on the produced mechanical properties of the 3D prototypes. Ultimate tensile strength, yield strength, and modulus of elasticity have been studied as the main mechanical properties. Design of experiment for specimens using a MINITAB software has been achieved based on Taguchi method based on the sixteen specimens with four levels values of printing parameters. CAD CAM software (Solid work) used to create 3D model of the testing specimens with the specific dimensions based on the ASTM E8M. ANICUBIC 3D printing machine used to fabricate the specimens under the studied 3D printing parameters. ANN has been used to validate the obtained experimental and DOE. The obtained results showed that increasing the printing temperature up to 220oC, and high number of top shells arriving to 4 shells will increase the ultimate tensile strength, yield strength, and modules of elasticity. While decreasing the printing speed lower than 100m/sec. and decreasing layer height lower than 0.3mm will produce a gaining in the mentioned mechanical properties. Comparison results of the experimental work and the predicted results obtained from suggested model of ANN provide the more compatibility between these values, the regression of the ANN observed that the learning of the network is proper and can be application to predict the Ultimate Tensile Stress, Yield Stress, and Modulus of Elasticity, where the validation, training, test and all of data are about (0.95592-1).