2020
DOI: 10.1177/0954408920949364
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Optimization of the geometrical parameters for elevated temperature hydro-mechanical deep drawing process of 2024 aluminum alloy

Abstract: This research is concerned with the effects of the geometrical parameters of the die in elevated temperature Hydro-Mechanical Deep Drawing (HMDD) process of 2024 aluminum alloy. A Group Method of Data Handling (GMDH) process was used to train a neural network in order to study the process behavior. Based on the maximum reduction in sheet thickness and the uniformity of the final product, an objective function was constructed. The Bees Algorithm (BA) was used to achieve the optimal values for process variables.… Show more

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Cited by 19 publications
(9 citation statements)
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“…The geometrical parameters of HMDD die set employed for the current research work (Fig. 3), have numerically been optimized for 2024 Al alloy in a separate research work by Yaghoubi and Fereshteh-Saniee [15].…”
Section: Methodsmentioning
confidence: 99%
“…The geometrical parameters of HMDD die set employed for the current research work (Fig. 3), have numerically been optimized for 2024 Al alloy in a separate research work by Yaghoubi and Fereshteh-Saniee [15].…”
Section: Methodsmentioning
confidence: 99%
“…Yaghoubi et al. [ 74 ] stated that for the hydromechanical deep drawing process of 2024 al alloy; the punch radius, die entrance, and the punch-die clearance are mainly influenced parameters on the final product uniformity. The die radius is the main parameter for the hydro-mechanical process on wrinkling and erosion defects [ 58 ].…”
Section: Manufacturing Processes For Aluminum Lithium Alloysmentioning
confidence: 99%
“…The demand of different markets requires an increase in knowledge in several areas, improving concepts of various processes, such as casting, injection and metal forming. 7 The constant search for products capable of improving vehicle safety, performance and aesthetics makes these some of the main focuses at the beginning of a new automotive design. Thus, the manufacturing processes have been the under intensive study and new research.…”
Section: Introductionmentioning
confidence: 99%