A novel algorithm for optimizing hydrocyclone operations in the decontamination of potentially toxic elements in soils DOI Creative Commons

X. Corres,

Natalia Gómez,

C. Boente

и другие.

Chemosphere, Год журнала: 2024, Номер 358, С. 142135 - 142135

Опубликована: Апрель 24, 2024

We present the Three-Parameter Penalized Attributive Analysis for Upgrading (3PPAA-U) method as a tool selecting Best Condition (BUC) in process engineering. Conventional approaches tend to consider only maximizing recovery (ε) and minimizing yield (γc); contrast, proposed 3PPAA-U introduces seeks maximize third parameter, grade (λ). This multi-parameter approach has not yet been explored existing literature. In addition controlling multiple parameters, is also superior others it includes inverse standard deviation weighting avoid distortion of results due data dispersion. reduces possibility drawing conclusions based on extreme values. Furthermore, can be used with target-to-distance correction optimize separation multi-component feeds. To illustrate our method, we practical application 3PPAA-U. Soil contaminated potentially toxic elements (PTEs) was subject hydrocycloning under 12 different experimental conditions. Results these experiments were compared using conventional methods identify best upgrading conditions (BUC). reveals that offers simple effective criterion BUC. uses beyond soil remediation. It versatile optimizing operations across various processing manufacturing environments offering way manage factors such concentration, temperature, pressure, pH, Eh, grain size, even broader environmental economic considerations.

Язык: Английский

A novel algorithm for optimizing hydrocyclone operations in the decontamination of potentially toxic elements in soils DOI Creative Commons

X. Corres,

Natalia Gómez,

C. Boente

и другие.

Chemosphere, Год журнала: 2024, Номер 358, С. 142135 - 142135

Опубликована: Апрель 24, 2024

We present the Three-Parameter Penalized Attributive Analysis for Upgrading (3PPAA-U) method as a tool selecting Best Condition (BUC) in process engineering. Conventional approaches tend to consider only maximizing recovery (ε) and minimizing yield (γc); contrast, proposed 3PPAA-U introduces seeks maximize third parameter, grade (λ). This multi-parameter approach has not yet been explored existing literature. In addition controlling multiple parameters, is also superior others it includes inverse standard deviation weighting avoid distortion of results due data dispersion. reduces possibility drawing conclusions based on extreme values. Furthermore, can be used with target-to-distance correction optimize separation multi-component feeds. To illustrate our method, we practical application 3PPAA-U. Soil contaminated potentially toxic elements (PTEs) was subject hydrocycloning under 12 different experimental conditions. Results these experiments were compared using conventional methods identify best upgrading conditions (BUC). reveals that offers simple effective criterion BUC. uses beyond soil remediation. It versatile optimizing operations across various processing manufacturing environments offering way manage factors such concentration, temperature, pressure, pH, Eh, grain size, even broader environmental economic considerations.

Язык: Английский

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