Multi-objective Optimization of Thermal and Sound Insulation Properties of Basalt and Carbon Fabric Reinforced Composites Using the Taguchi Grey Relations Analysis

Özgür E., Sabır E. C., Sarpkaya Ç.

JOURNAL OF NATURAL FIBERS, cilt.20, sa.1, ss.1-14, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1080/15440478.2023.2178580
  • Dergi Adı: JOURNAL OF NATURAL FIBERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Biotechnology Research Abstracts, CAB Abstracts, Communication Abstracts, Compendex, Environment Index, INSPEC, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-14
  • Anahtar Kelimeler: Basalt, carbon, Al2O3 and SiC filler, composite, thermal and sound insulation, the Taguchi Grey analysis method
  • Çukurova Üniversitesi Adresli: Evet

Özet

In this study, an experimental investigation was conducted to explore the thermal and acoustic insulation capabilities of basalt fabric and carbon fabric-reinforced composite materials. The relationship between fabric addi-tive ratios and sound and thermal absorption qualities has been studied. The resin is mixed with two distinct mineral powder additions. Taguchi Grey Relations Analysis optimization approach was utilized to discover the com-posite material with the optimum sound and thermal insulation qualities. The Taguchi Method Experimental Design L18 (mixed 3–6 levels) was chosen. Fabric (six levels), Al2O3 (alumina) filler (three levels), and SiC (silicon carbide) filler (three levels) were chosen as test parameters as input variables based on the experimental design. Sound Transmission Loss and Thermal Conduction Coefficient were chosen as the output parameters to be opti-mized as response variables. The study’s findings led to the identification of optimal samples for thermal conductivity coefficient and sound transmission loss testing, as well as confirmation tests for these samples. Using the Taguchi Grey Relational Analysis, the best input parameters were discovered to be 30% carbon, 0% Al2O3, and 5% SiC for the best Thermal Conductivity Coefficients (W/mK) and Sound Transmission Loss (dB). As a result of the confirmation test, an improvement of 0.15 was found.