The present work will display sequential steps in order to obtain correct of the chemical assays in the flows of a series of nodes (cells). Basonat function through widespread; who is perfectly suited to the analysis of the processes of industrial nature float in mineral processing. Where obtained the assay valves (metal content) of the chemical analysis has already been made are appropriate to their respective correction; who involves a whole procedure since its flow diagram, its laws; for then to calculate the standardized flows, the Lagrange multiplier (optimizer for errors), and the corrections that finally lead to the desired. 

El presente trabajo mostrará una variedad de pasos secuenciales con el fin de obtener la corrección del análisis químico (leyes), en los flujos de una serie de nodos (celdas) enlazantes mediante Función Generalizada; quien se adecua perfectamente al análisis de los procesos de flotación de índole industrial en el procesamiento de minerales. De donde obtenido las leyes (contenido metálico) de los análisis químico ya realizado se procede a su corrección respectiva; quien involucra todo un procedimiento desde su diagrama de flujo, sus leyes; para luego calcular los flujos normalizados, los multiplicadores de Lagrange (optimizador de errores), y las correcciones que conllevan finalmente a lo deseado.

The present work will display sequential steps in order to obtain correct of the chemical assays in the flows of a series of nodes (cells). Basonat function through widespread; who is perfectly suited to the analysis of the processes of industrial nature float in mineral processing. Where obtained the assay valves (metal content) of the chemical analysis has already been made are appropriate to their respective correction; who involves a whole procedure since its flow diagram, its laws; for then to calculate the standardized flows, the Lagrange multiplier (optimizer for errors), and the corrections that finally lead to the desired. 

Mathematical modelling applied to batch milling (at experimental level), is a very important tool to simulate and predict the granulometric yield of a given treated ore; this means, for a given duration of milling operation, to obtain an estimate of the corresponding granulometric analysis, which can then be tested with real data later on, to verify the estimates. The model involves the selection and fracture functions depending on each mesh size in the ore distribution. This will allow the prediction of effective and reliable results, saving costs and more importantly, time, without the need to perform the milling process for each prediction of batch milling.

The mathematical relationships obtained denote the complexity of the operation in the leached and adsorbed gold stage on activated carbon; since significant losses of gold in solution occur in real metallurgical operations. Similarly, in the adsorbed gold operation, it reveals its high kinetics at the beginning and tends to decrease as the process progresses; eventually reaching the maximum gold load that the carbon can accommodate, and then showing the opposite trend. Furthermore, varying the concentration of carbon affects the adsorption operation; that is, the kinetics of gold adsorbed on carbon decreases over time, but the operation has higher kinetics with a larger volume of carbon during adsorption. The mentioned aspects are made possible by establishing the respective mathematical model of gold in barren solution and gold loaded on carbon; then optimizing with Solver - an Excel to...

Mathematical modeling applied to equipment’s utilized in ore comminution process (crusbing, milling) is so important tool for simulation and optimisation of continuos metallurgical processes (at indudtrial rate), is equivalent, to predict the granulometric yield of a processed ore, by only knowing of feed rate (simulated), obvionsly the model will store intrinsic ly and inherently the plysical properties of ore (hardness, fracture) and equipment operation conditions (CSS opening). The better performance obtained in this manner of the equipment will certaimly contribute for a good consequence in future ore processing worhs. 

El modelamiento matemático aplicado a equipos destinados en el proceso de conminución de minerales (chancado, molienda), suelen ser herramientas tan importantes para llegar a simular y luego optimizar procesos metalúrgicos continuos (a nivel industrial); vale decir llegar a predecir el producto granulométrico de un cierto mineral tratado, conociendo tan solo lo del alimento (simulación). Obviamente el modelo almacenará intrínsecamente, inherentemente las características físicas del mineral (dureza, fractura) y operativas del equipo (abertura- CSS).Consiguiendo de esta manera mejorar el rendimiento del equipo en cuestión y que ciertamente contribuirá en la buena repercusión en los procesos posteriores del tratamiento del mineral.

Mathematical modeling applied to equipment’s utilized in ore comminution process (crusbing, milling) is so important tool for simulation and optimisation of continuos metallurgical processes (at indudtrial rate), is equivalent, to predict the granulometric yield of a processed ore, by only knowing of feed rate (simulated), obvionsly the model will store intrinsic ly and inherently the plysical properties of ore (hardness, fracture) and equipment operation conditions (CSS opening). The better performance obtained in this manner of the equipment will certaimly contribute for a good consequence in future ore processing worhs.