{"title":"Modeling and evaluating mill plant production using AggFlow software: Case study in the South of Jordan","authors":"Ashraf Alsafasfeh","doi":"10.33271/mining18.01.119","DOIUrl":null,"url":null,"abstract":"Purpose.This paper aims to investigate the process of modeling and simulating the mill plant operations with a specific emphasis on the use of AggFlow software. The main purpose is to highlight the importance of modern approaches in to mill plant operation, with a focus on the crucial role of simulation in improving production processes, reducing inefficiencies and optimizing resource use. Methods. The AggFlow software is used to model current operations at a mill plant in Jordan with a specific emphasis on the limestone production in different size fractions. The accuracy of the simulation is verified by carefully comparing it with actual operational data, confirming the AggFlow effectiveness in predictive modeling to enhance mill plant performance. Findings. This study has systematically increased the production rates of mill plant products through thorough analysis while ensuring that the supplying conditions remain consistent. The aim was to increase production efficiency while guaran-teeing the marketability of the finished products. The findings provided useful insights into effective operational modifications and strategies for enhancing production rates while maintaining product quality. Originality. This research provides novel insights by integrating actual mill plant operations with sophisticated simulation utilizing AggFlow software. The study confirms the reliability of AggFlow as a tool for predicting models and offers new insights into enhancing production efficiency in mill plant environments. Practical implications.The research results are directly applicable to mill plant operators, providing a realistic method for improving operational efficiency through the use of AggFlow simulation. The research provides practical methods that can be implemented to optimize production rates and maintain consistent product quality in mill plant operations.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"14 7","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33271/mining18.01.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose.This paper aims to investigate the process of modeling and simulating the mill plant operations with a specific emphasis on the use of AggFlow software. The main purpose is to highlight the importance of modern approaches in to mill plant operation, with a focus on the crucial role of simulation in improving production processes, reducing inefficiencies and optimizing resource use. Methods. The AggFlow software is used to model current operations at a mill plant in Jordan with a specific emphasis on the limestone production in different size fractions. The accuracy of the simulation is verified by carefully comparing it with actual operational data, confirming the AggFlow effectiveness in predictive modeling to enhance mill plant performance. Findings. This study has systematically increased the production rates of mill plant products through thorough analysis while ensuring that the supplying conditions remain consistent. The aim was to increase production efficiency while guaran-teeing the marketability of the finished products. The findings provided useful insights into effective operational modifications and strategies for enhancing production rates while maintaining product quality. Originality. This research provides novel insights by integrating actual mill plant operations with sophisticated simulation utilizing AggFlow software. The study confirms the reliability of AggFlow as a tool for predicting models and offers new insights into enhancing production efficiency in mill plant environments. Practical implications.The research results are directly applicable to mill plant operators, providing a realistic method for improving operational efficiency through the use of AggFlow simulation. The research provides practical methods that can be implemented to optimize production rates and maintain consistent product quality in mill plant operations.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.