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Investigation of filtration capacity of surface wastewater filters by mathematical modelling

Marčiulaitienė Eglė, Meškauskaitė Laura, Pozniak Natalija, Sakalauskas Leonidas

Ecological Chemistry and Engineering. S

2020

Vol. 27, nr 2

241--255

As the urbanisation level increases, due to intensification of car traffic and increased areas of impermeable surfaces, pollution of surface wastewater and a negative impact on water bodies are increasing. Due to the increasing pollution of surface water bodies, the eutrophication process is taking place intensively. One of the technologies of surface wastewater treatment allowing reduction in the amounts of suspended solids (SS), heavy metals and other pollutants is surface wastewater filters. Filters with different fillers have been designed for the treatment of principal surface wastewater pollutants: suspended solids, heavy metals (zinc, cadmium, copper, lead), BOD5, total carbon and nitrogen. The Kriging method was adapted to test the efficiency of filters filled with construction waste and wood waste-derived biochar using distance matrices. The method developed makes it possible to model the characteristics of filters in relation to different fillers, using experimental results. The mathematical model is suitable for other filtrate characteristics, not only the ratio of fillers, but also the length of the filter life, its durability calculations, which allows optimizing filter cleaning efficiency up to 96.93 %.

Statistical Analyses of Productivity Model Parameters for Process Improvement

Hussain Zahid

Advances in Science and Technology. Research Journal

2019

Vol. 13, no 2

157--167

Productivity modeling and validation is the assessment of data to establish scientific indications that a process is stable. The aim of this paper is to present a novel approach using statistical analyses for process improvement. This study highlights the process behavior of three different lathe machines unit with the intention to replace one of them. The research methodology has illustrated by producing a steel rod of 3.175 millimeter diameter based on 180 samples collected from each machine. For statistical data value analysis, MS Excel 2016 and Minitab 18 were utilized. The results showed that lathe machine 1 and 2 had an equivalent inconsistency, but significantly different data spreads. Similarly, the throughput for machine 2 was higher with greater variability as compared to machine 1 while machine 3 encountered a low rate of throughput. On the basis of the fallouts of the analysis, the research team has officially suggested to substitute lathe machine 3.