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Volumn 38, Issue 1, 2013, Pages 81-86

Prediction and optimization of mechanical properties of particles filled coir-polyester composites using ANN and RSM algorithms

Author keywords

Aluminium oxide; Artificial neural network; Calcium carbonate; Coir polyester composites; Response surface methodology

Indexed keywords

ABRASION LOSS; ALUMINIUM OXIDE; COIR-POLYESTER COMPOSITES; FIBRE DIAMETERS; FIBRE PARAMETERS; FILLER CONTENTS; PREDICTION OF MECHANICAL PROPERTIES; RESPONSE SURFACE METHODOLOGY;

EID: 84875349106     PISSN: 09710426     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (33)

References (8)
  • 1
    • 84875358973 scopus 로고    scopus 로고
    • Composite Applications using Coir Fibres in Sri Lanka
    • (Delft University of Technology)
    • Composite Applications using Coir Fibres in Sri Lanka, Final Report Project Number CFC/FIGHF/18FT (Delft University of Technology), 2003.
    • (2003) Final Report Project Number CFC/FIGHF/18FT


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.