Evidence map›Paper›PMID 41102322›Full record

ArticleScientific reports2025

Process parameter optimization for enhanced mechanical and thermal properties of kenaf/jute hybrid composites using grey fuzzy logic.

Aravindh Murugan, Debabrata Barik, Rasan Sarbast Faisal, Makeshkumar Mani, Milon Selvam Dennison, Ayyar Dinesh, Saravanan Rajendran

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Aravindh MuruganDepartment of Mechanical Engineering, Sri Vidya College of Engineering & Technology, Virudhunagar, 626005, India.
Debabrata BarikDepartment of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641021, India. debabrata93@gmail.com.
Rasan Sarbast FaisalDepartment of Petroleum Engineering, College of Engineering, Knowledge University, Erbil, 44001, Iraq.
Makeshkumar ManiDepartment of Mechanical Engineering, KPR Institute of Engineering and Technology, Coimbatore, 641407, India.
Milon Selvam DennisonDepartment of Mechanical Engineering, Kampala International University, Western Campus, P.O. Box 71, Ishaka-Bushenyi, Uganda. milon.selvam@kiu.ac.ug.
Ayyar DineshDepartment of Chemistry, K. Ramakrishnan College of Engineering (Autonomous), Affiliated to Anna University, Samayapuram, Trichy, 621112, Tamil Nadu, India.
Saravanan RajendranInstituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000000, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on natural fiber composites often prioritizes fiber composition over manufacturing parameters, leaving a gap in optimizing the compression molding process critical for interfacial adhesion and mechanical performance in hybrid composites. This study addresses this by applying a Grey-Fuzzy Logic approach to optimize the compression molding parameters for kenaf/Jute hybrid composites, a material chosen for its complementary strength and sustainability yet challenged by hydrophilicity and poor fiber-matrix bonding. An L16 Taguchi design was used, varying Kenaf fiber (10-25 wt%), Jute fiber (10-25 wt%), NaOH treatment (0-8 wt%), molding pressure (10-16 MPa), and temperature (100-120 °C). The results identified a singular optimal parameter set (20 wt% kenaf (KF), 25 wt% jute, 5 wt% NaOH, 10 MPa molding pressure, and a temperature of 120 °C), achieving a Grey-Fuzzy Grade of 0.888 and yielding maximum mechanical properties (48.8 MPa tensile, 90.1 MPa flexural, 33.7kJ/m

Indexed as

AI with GRGCompression moldingGrey fuzzyMulti-response optimizationNatural hybrid composites

Identifiers

PMID41102322
PMCPMC12533102

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