Elsevier

Procedia Manufacturing

Scrap product of extruded aluminum alloys by directly extrusion

Under a Artistic Eatables license

Open access

Abstract

The growing globalization of the different types of market requires that companies invest, in a recurrent style, to optimize and improve all the processes inherent to their activities. Aluminium extrusion is the main industrial procedure used to create profiles of a fixed cross-department. This process requires appropriate processing parameters to be used, in guild to produce diverse profiles and loftier-quality products. The company'south power to adapt and better the productive process are differentiating factors against the competition. Thus, understand the main operations and dynamics of the companies is crucial. This piece of work presents an empirical written report concerning the extrusion process of a Portuguese company in the aluminium sector. By analysing a existent information base provided by the company, the main objective is to model the aluminium extrusion process. Taking into account the variables that most influence the extrusion of different profiles, the aim is to minimize the production of fleck. First, by studying the literature in the bailiwick, the variables that most contribute to scrap production were identified. Since the database provided by the visitor did not present all the variables described in literature, proxy variables were considered. Side by side, a multivariate linear regression model for explaining the amount of scrap taking equally explanatory the identified variables was estimated. With this analysis, it was possible to place levels of significance of the variables under study, and therefore understand how each of the variables contributes to the increase or decrease of the amount of chip on the production of aluminium profiles. The results testify that variables apropos with extrusion temperature, time, speed, pressure and die geometry are crucial to amend and control the chip production. The obtained model will be improved, in future work, by including farther variables of the extrusion process. Furthermore, factor assay and GHML methodologies will besides be considered for explaining the production of flake and therefore improve the product process.

Keywords

Aluminium Extrusion

Scrap

Extrusion Variables

Multivariate Linear Regression

© 2022 The Author(s). Published by Elsevier B.V.