Modeling of Washing Effectiveness in a High-Pressure Washing Device Obtained for Crushed-Stone and Gravel Aggregates

Daniel Saramak, Jarosław Łagowski, Tomasz Gawenda, Agnieszka Saramak, Agata Stempkowska, Dariusz Foszcz, Tomasz Lubieniecki and Katarzyna Leśniak
Additional contact information
Daniel Saramak: Department of Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland
Jarosław Łagowski: HAVER & BOECKER Polska, 55-040 Bielany Wrocławskie, Poland
Tomasz Gawenda: Department of Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland
Agnieszka Saramak: Department of Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland
Agata Stempkowska: Department of Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland
Dariusz Foszcz: Department of Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland
Tomasz Lubieniecki: HAVER & BOECKER Polska, 55-040 Bielany Wrocławskie, Poland
Katarzyna Leśniak: Department of Environmental Engineering, AGH University of Science and Technology, 30-059 Cracow, Poland

Resources, 2020, vol. 9, issue 10, 1-15

Abstract: This article concerns research on washing effectiveness of a high-pressure washing device. Three types of investigations were carried out: Laboratory tests on washing of crushed-stone and gravel aggregate, as well as pilot-scale tests on crushed-stone aggregate. Laboratory tests were conducted for four changeable parameters and pilot-scale investigations for three parameters. All tests were performed based on factorial experiment procedure. For each type of material there was built a model based on multiple regression method. Results of investigations showed that operating pressure in the washer has the highest effect on obtained washing effectiveness, measured as a degree of dust impurities’ removal from feed. The second parameter with the highest impact on washing process effectiveness was the maximum particle of feed, and its relationship to the obtained washing effectiveness appeared inversely proportional. For the crushed-stone aggregate the susceptibility of washing also appeared significant in models.

Keywords: aggregates; washing; modeling; multiple regression; concrete (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2079-9276/9/10/119/pdf (application/pdf)
https://www.mdpi.com/2079-9276/9/10/119/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jresou:v:9:y:2020:i:10:p:119-:d:423917

Access Statistics for this article

Resources is currently edited by Ms. Donchian Ma

More articles in Resources from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().