Determination of Barreling of Aluminum Solid Cylinders During Cold Upsetting Using Genetic Algorithm

Autor: Omer Eyercioglu, Ali Günen, Mehmet Demir, Erdoğan Kanca
Přispěvatelé: Mühendislik ve Doğa Bilimleri Fakültesi -- Makina Mühendisliği Bölümü, Mühendislik ve Doğa Bilimleri Fakültesi -- Metalurji ve Malzeme Mühendisliği Bölümü, Kanca, Erdoğan, Günen, Ali, Demir, Mehmet
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Matéria (Rio de Janeiro) v.24 n.1 2019
Matéria (Rio de Janeiro. Online)
instacron:RLAM
Matéria (Rio de Janeiro), Volume: 24, Issue: 1, Article number: e-12284, Published: 20 MAY 2019
Popis: WOS: 000468367000013
This study presents Genetic Programming models for the formulation of barreling of aluminum solid cylinders during cold upsetting based on experimental results. The maximum and minimum radii of the barreled cylinders having different aspect ratio (d/h= 0.5, 1.0 and 2.0) were measured for various frictional conditions (m=0.1-0.4). The change in radii with respect to height reduction showed different trends before and after folding, therefore, the corresponding reduction ratios of folding were also determined by using incremental upsetting. Genetic programming models were prepared using the experimental results with the input variables of the aspect ratio, the friction coefficient, and the reduction in height. The minimum and maximum barreling radii were formulated as output taking the folding into consideration. The performance of proposed GP models are quite satisfactory (R-2 = 0.908-0.998).
Databáze: OpenAIRE