Delamination Analysis in Drilling of Coir-Polyester Composites Using Design of Experiments

Balaji, N. S.; Jayabal, S.; Sundaram, S.; Rajamuneeswaran, S.; Suresh, P.

doi:10.4028/www.scientific.net/amr.984-985.185

Cited by 23 publications

(13 citation statements)

References 17 publications

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“…It has been observed that the composite with woven reinforcement produces very less damage as compared to that of the composite with non-woven reinforcement. 36…”

Section: Damage During Hole Making On Bio-compositesmentioning

confidence: 99%

Machining and its challenges on bio-fibre reinforced plastics: A critical review

Vinayagamoorthy

Rajmohan

2018

Journal of Reinforced Plastics and Composites

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Bio-degradability and sustainability have become major objectives in the field of materials engineering. Due to this, the utilisation of natural reinforcement is gaining immense attention among composite researchers. Among the different composites, polymeric composites are used as structural components. In the present day investigations, bio-elements are majorly utilized as reinforcements due to their properties and bio-degradability. Although polymeric components are manufactured in the shape of the final component, they need secondary processing to make it suitable for assembly. Hence, a review on machining and associated investigations on bio-composites would help the composites industries and upcoming researcher to know the scope of research and for selection of apt machining conditions. This review gives a detailed insight on the various machinability factors and their measurement, influence of machining parameters on the machinability and optimum conditions during machining of bio-composites. In addition, this review also presents about the importance of bio-fibre under various situations of machining and untraditional machining methods used for bio-composites.

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“…It has been observed that the composite with woven reinforcement produces very less damage as compared to that of the composite with non-woven reinforcement. 36…”

Section: Damage During Hole Making On Bio-compositesmentioning

confidence: 99%

Machining and its challenges on bio-fibre reinforced plastics: A critical review

Vinayagamoorthy

Rajmohan

2018

Journal of Reinforced Plastics and Composites

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“…The interaction effects of variables on mechanical behaviors were studied using ANOVA and interaction plots. The following five step procedure was followed in nonlinear regression analysis . Collection of data as per design of experiments relating input and output variables. Selection of best fit based on Fisher's ANOVA test. Development of nonlinear regression models for output characteristics. Analysis of Variance and the study of interaction effect of variables on output characteristics. Refinement of regression models and validation of regression equations with experimental data. …”

Section: Methodsmentioning

confidence: 99%

Section: Nonlinear Regression Analysismentioning

confidence: 99%

Particle swarm and simulated annealing based intuitive search optimization of flexural behaviors in bioparticles impregnated coir fiber–vinyl ester composites

Ramprasath¹,

Jayabal

2014

Polymer Composites

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The present investigation is focused on evaluation and optimization of flexural behaviors of bio-particulates impregnated coir-vinyl ester composites. The bioparticulates such as termite mound soil, groundnut and rice husk were selected and the composite fabrications were planned as per Design of Experiments with the different levels of fiber length, fiber content, and particulate content. The flexural strength of fabricated composites was evaluated as per ASTM D 790-10. The fractography study was carried out on tested specimens using Scanning Electron Micrographs. The nonlinear regression models were developed for the prediction of flexural behaviors over the specified range of conditions. The fabrication parameters for the better value of flexural behaviors were determined using particle swarm and simulated annealing algorithms. The optimum conditions are further refined and validated experimentally using intuitive search algorithm. It was confirmed that the termite mound soil, ground nut and rice husk impregnated coir-vinyl ester composites exhibited better value of flexural strengths of 33.5 MPa, 36 MPa, and 38.4 MPa, respectively. POLYM. COMPOS., 37:1765-1774

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“…where, D max is the maximum diameter of the damaged hole and D actual is the actual diameter of the hole [18].…”

Section: Delamination Studymentioning

confidence: 99%

A Neural Network Based Prediction Modeling for Machinability Characteristics of Zea Fiber-Polyester Composites

Balaji

Jayabal

Sundaram

2015

Trans Indian Inst Met

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Composites based on agricultural residues are extensively used in engineering applications because of high mechanical strength accompanied by the low weight factor. Drilling is the universally used machining process in automobile and structural industries. The drilling in polymeric composites is an unavoidable operation for facilitating the assembly parts due to the reason that gluing is quite complex and non metallic nature of materials. The objective of this study is to measure and analyze the cutting conditions which influence the thrust force, torque and delamination factor in drilling of the zea fiber reinforced polyester composites. The parameters considered are spindle speed, feed rate and drill bit diameter. The drilling experiments were performed based on a full factorial design of experiments and artificial neural network model was developed to predict the influence of cutting parameters on thrust force, torque and delamination factor.

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Delamination Analysis in Drilling of Coir-Polyester Composites Using Design of Experiments

Cited by 23 publications

References 17 publications

Machining and its challenges on bio-fibre reinforced plastics: A critical review

Machining and its challenges on bio-fibre reinforced plastics: A critical review

Particle swarm and simulated annealing based intuitive search optimization of flexural behaviors in bioparticles impregnated coir fiber–vinyl ester composites

A Neural Network Based Prediction Modeling for Machinability Characteristics of Zea Fiber-Polyester Composites

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