scholarly journals Simulation of a Full Forward Extrusion Process from Metal Strip

Author(s):  
Marion Merklein ◽  
Tommaso Stellin ◽  
Ulf Engel
2012 ◽  
Vol 504-506 ◽  
pp. 587-592 ◽  
Author(s):  
Marion Merklein ◽  
Tommaso Stellin ◽  
Ulf Engel

A high rate of production of complex microparts is increasingly required by fields like electronics and micromechanics. Handling is one of the main problems, limiting those forming processes of small metal components consisting of multiple forming stages. A forming chain in which a metal strip acts both as raw material and support of the workpiece through the different stages of the process, is seen as a solution that radically simplifies the positioning of microparts. Each workpiece stays connected to the strip through all the forming steps, being separated just at the end of the process chain. In this work, a tooling system for the bulk forming from copper strips has been set up and employed in a full forward extrusion process of a micro-billet. The same die, with a diameter of 1 mm, has been used with three different strip thicknesses (1, 2 and 3 mm) and three different material conditions. The use of thinner and hard-as-rolled strips has resulted in achieving a higher ratio of the billet length to strip thickness.


Metals ◽  
2015 ◽  
Vol 5 (1) ◽  
pp. 471-483 ◽  
Author(s):  
Mahmoud Ebrahimi ◽  
Faramarz Djavanroodi ◽  
Sobhan Tiji ◽  
Hamed Gholipour ◽  
Ceren Gode

Author(s):  
Pauline Ong ◽  
Desmond Daniel Vui Sheng Chin ◽  
Choon Sin Ho ◽  
Chuan Huat Ng

Optimization, basically, is a method used to find solutions for a particular problem without neglecting the existing boundaries or limitations. Flower Pollination Algorithm (FPA) is one of the recently developed nature inspired algorithms, based on the intriguing process of flower pollination in the world of nature. The main aim of this study is to utilize FPA in optimizing cold forward extrusion process in order to obtain optimal parameters to produce workpiece with the minimum force load. It is very important to find the most optimal parameters for an extrusion process in order to prevent waste from happening due to trial and error method in determining the optimal parameters and thus, FPA is used to replace the traditional trial and error method to optimize the cold forward extrusion process. The optimization performance of the FPA is then compared with the particle swarm optimization (PSO), in which the FPA shows comparable performance in this regard.


2014 ◽  
Vol 2 (1) ◽  
pp. 39-43
Author(s):  
Ali Jabbari ◽  
Armaghan Akbari Farahani

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