PREPARATION OF GEOTHERMAL SILICA GLASS COATING FILM THROUGH MULTI-FACTOR OPTIMIZATION

Authors

  • S. Silviana Department of Chemical Engineering, Faculty of Engineering, Diponegoro University, 50275, Tembalang, Semarang, Indonesia https://orcid.org/0000-0002-8831-0147
  • Gelbert Jethro Sanyoto Master Program of Chemical Engineering, Faculty of Engineering, Diponegoro University, 50275, Tembalang, Semarang, Indonesia
  • Adi Darmawan Department of Chemistry, Faculty of Engineering, Diponegoro University, 50275, Tembalang, Semarang, Indonesia

DOI:

https://doi.org/10.11113/jurnalteknologi.v83.16377

Keywords:

Geothermal silica, glass coating, hydrophobic glass, film, multi-factor optimization

Abstract

Glass coating films have been developed by many researchers in recent years. However, mass commercialization of this technology is still inefficient, and optimal methods are needed to produce affordable products. This paper introduces a film preparation method through, which a coating film is superimposed on silica glass by utilizing geothermal waste, a byproduct of geothermal power plants. Geothermal waste has been used as a silica precursor and modified using several silylation agents such as methyltriethoxysilane (MTMS), hexamethyldisilazane (HMDS), polydimethylsiloxane (PDMS), and surface-active agent (surfactant) cethyltrimethylammoniumbromide (CTAB). Design Expert 8.0.6 is used for optimization to find the desired product at the concentration of specific precursors and silane agents using contact angle responses. A model that consists of statistically significant variables can be generalized to a broad data range. The results of this study indicate that the glass surface coated with modified silica produces hydrophobic glass with contact angles up to 90° using the MTMS silylation agent.

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Published

2021-06-07

Issue

Section

Science and Engineering

How to Cite

PREPARATION OF GEOTHERMAL SILICA GLASS COATING FILM THROUGH MULTI-FACTOR OPTIMIZATION. (2021). Jurnal Teknologi, 83(4), 41-49. https://doi.org/10.11113/jurnalteknologi.v83.16377