Companhia Brasileira de Alumínio is again innovating through the Digital Twin technology, which creates a twin copy of the unit in digital format, importing items ranging from processes to machinery, so that optimization opportunities can be implemented even before the physical unit is created. At the Alumínio plant in SP, the company began using the technology six months before the distillation plant went live, a stage which consists of physically separating the molecular fractions of interest, breaking down the laminating oil into its original constitution so it can be reused in the process. A relatively short time after roll-out, CBA is already estimating a financial return of roughly BRL 1.5 million in a year.The digital model was built in just three months, without the need for additional investment. To create the project, CBA put together a team of three professionals who developed the plant entirely in Python – an open-source general-purpose language used widely in data science, machine learning, web development, app development, script automation, fintechs etc. and put it into operation. As a result, the distillation unit’s digital twin shortened the time needed to reach maximum output, resulting in the digital twin achieving the project’s projected performance in just three months of operations. Had this been conducted directly on the physical plant, this would have taken between eight months to one year.Because of the project’s success, CBA is now using digital simulators for components of one of its main rolling mills – a machine that works in the initial stages of reducing the thickness of cast aluminum. It aims to avoid breakages, extending the useful life and mitigating risks of operational stoppages. The rolling machine’s digital twin is expected to be completed this year.Founded in 1955, Companhia Brasileira de Alumínio is a vertically integrated, sustainable producer of high-quality aluminum products.
Companhia Brasileira de Alumínio is again innovating through the Digital Twin technology, which creates a twin copy of the unit in digital format, importing items ranging from processes to machinery, so that optimization opportunities can be implemented even before the physical unit is created. At the Alumínio plant in SP, the company began using the technology six months before the distillation plant went live, a stage which consists of physically separating the molecular fractions of interest, breaking down the laminating oil into its original constitution so it can be reused in the process. A relatively short time after roll-out, CBA is already estimating a financial return of roughly BRL 1.5 million in a year.The digital model was built in just three months, without the need for additional investment. To create the project, CBA put together a team of three professionals who developed the plant entirely in Python – an open-source general-purpose language used widely in data science, machine learning, web development, app development, script automation, fintechs etc. and put it into operation. As a result, the distillation unit’s digital twin shortened the time needed to reach maximum output, resulting in the digital twin achieving the project’s projected performance in just three months of operations. Had this been conducted directly on the physical plant, this would have taken between eight months to one year.Because of the project’s success, CBA is now using digital simulators for components of one of its main rolling mills – a machine that works in the initial stages of reducing the thickness of cast aluminum. It aims to avoid breakages, extending the useful life and mitigating risks of operational stoppages. The rolling machine’s digital twin is expected to be completed this year.Founded in 1955, Companhia Brasileira de Alumínio is a vertically integrated, sustainable producer of high-quality aluminum products.
