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      • KCI등재

        Flexural Mechanical Properties of Natural Fibre Reinforced Polymer Composites - A Statistical Investigation

        Benkhelladi Asma,Laouici Hamdi,Bouchoucha Ali,Mouadji Youcef 한국섬유공학회 2020 Fibers and polymers Vol.21 No.10

        The objectives and novelty of this paper are to create a hybrid-natural fibre composite by the Response SurfaceMethodology RMS technique, and then compared this hybrid composite with the individual fibre reinforced composites inthe bending test. The first aim of this study is devoted to analyse, modelize and optimise the various independent variablessuch as the type of fibres (X1), the types of chemical treatment (X2), the volume fraction of fibre (X3) and the treatmentduration (X4) used on the output parameters which are the mechanical characteristics namely, ultimate flexural stress andflexural modulus in the bending test using a Box-Behnken experimental design. Mathematical models for ultimate flexuralstrength and flexural modulus were developed using the response surface methodology (RSM). These models would behelpful in selecting independent variables in order to maximize the flexural mechanical properties. Statistical analysis of theresults showed that selected variables had a significant effect on the flexural properties, except the treatment time that has avery weak significance effect on the flexural properties. In the second section, the impact behaviors of the natural hybridcomposites found by the RMS method were confirmed experimentally. Finally, the experimental results indicate that theflexural properties of the natural hybrid composites increase with an increase in the composition of jute fibres.

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        Heat Treatment Process Study and ANN-GA Based Multi-Response Optimization of C45 Steel Mechanical Properties

        Aissa Laouissi,Mohammed Mossaab Blaoui,Hammoudi Abderazek,Mourad Nouioua,Ali Bouchoucha 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.12

        The main purpose of the present investigation is to achieve an optimization of the heat treatment process along with improvingthe mechanical properties of Medium-carbon steel C45 illustrated by the tensile strength (Ts), the hardness (HV) andthe elongation (A). This is performed through varying three necessary factors represented by the quench temperature, theholding time and the cooling medium (air, oil and acid solution). An experimental design illustrated by the performance of27 ( ]] ><![CDATA[33 ) tests was adopted for the planning of the experiments. The Response Surfaces Methodology (RSM),the Neural Networks Approach (ANN) and the Genetic Algorithm (GA) were selected for the modeling and optimization ofthe heat treatment process. Analysis of Variance (ANOVA) results show the cooling medium to have the greatest influenceon the mechanical properties of C45 steel with contributions of 47.34% to 74.3%. The experimental results demonstratethat heating at a temperature of T = 800 ◦C for 30 minutes and then performing a quenching in the acid solution gives largevalues of both Ts and HV, and achieves Ts = 1060MPa and HV = 825.

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