Modeling and optimization of the manufacturing parameters of a hybrid fiber reinforced polymer composite PxGyEz

Samuel, Bassey Okon; Sumaila, Malachy; Dan-asabe, Bashar

doi:10.1007/s00170-021-07930-6

Cited by 20 publications

(8 citation statements)

References 30 publications

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“…Natural fiber-based composites contribute significantly to the transition of the polymer composite industry into greener-based materials. One of the main discussions in the scientific community has been around sustainability [8][9][10][11][12][13][14][15] and these fiber-reinforced polymer composites provide a plethora of material options. Composite materials are increasingly being used in manufacturing and engineering due to the potential of modifying or increasing their characteristics to achieve the required performance.…”

Section: Introductionmentioning

confidence: 99%

Manufacturing of a natural fiber/glass fiber hybrid reinforced polymer composite (PxGyEz) for high flexural strength: an optimization approach

Samuel

Sumaila

Dan-asabe

2021

Int J Adv Manuf Technol

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Due to their low density, natural fibers have increasingly found application in the development of systems such as wind turbine blades, airplane wing spar where flexural strength is a strong criterion for material selection. Although different researchers have studied the mechanical properties of such natural fiber composites, none has focused on the optimization of the flexural strength of pineapple leaf fiber (PALF)/glass fiber (GF) reinforced epoxy hybrid composite. This study applied the Taguchi and general regression analysis method in the optimization and modeling of the flexural strength of the P x G y E z composite. Flexural strength of 144.5 MPa at an optimum development parameter of PALF at 20% volume content, GF at 20% volume content, and fiber length of 25 mm. Analysis of variance and regression analysis was also employed to describe and model the flexural behavior of the developed composite. The PALF fiber showed to have a higher contribution to the flexural strength of the material. The equation developed to model the flexural behavior of the material showed a good correlation between the simulated value and the experimental values of the flexural strength at different combinations of manufacturing parameters.

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Section: Introductionmentioning

confidence: 99%

Manufacturing of a natural fiber/glass fiber hybrid reinforced polymer composite (PxGyEz) for high flexural strength: an optimization approach

Samuel

Sumaila

Dan-asabe

2021

Int J Adv Manuf Technol

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“…AM has many advantages such as less waste during production, lower production cost, and direct production from design data. In this, material extrusion process polymer technology is attracting more attention due to many features such as raw material availability, low cost of raw material, and low cost of production machinery [2]. The polymer raw materials are used to produce end products for many applications like automobile, medical, and civil engineering.…”

Section: Introductionmentioning

confidence: 99%

Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective

Raja

Rajan

2023

Advances in Polymer Technology

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In the emerging modern technology of additive manufacturing, the need for optimization can be found in literature in many places. Additive manufacturing (AM) is making an object layer by layer directly from digital data. Previous works of literature have classified additive manufacturing processes into seven types. However, there is a lack of comprehensive review describing the optimization challenges and opportunities in the material extrusion process (polymer technology) and also the need for FDM polymer materials application in impeller making. In this review paper, a specific optimization method called multicriteria decision-making (MCDM) from the mathematical programming technique used in additive manufacturing polymer technology (AMPT) is discussed. The other topics such as different types of optimization techniques, applications of different MCDM tools and their applications in different fields including AM, and the optimization challenges and opportunities in AMPT particularly impeller application are discussed.

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“…Although improvements to these have been made by treating the composites. Studies like Samuel et al (2021) have proven the possibility of using natural bers to strengthen and improve the mechanical behavior of polymers when used as reinforcement. This shows that the drawback of lower mechanical properties of the natural ber reinforced composites can be improved upon.…”

Section: Introductionmentioning

confidence: 99%

“…Also, (S/N) represents the Signal to Noise Ratio, and acronyms HTB, NTB, and LTB stand for the Higher the Better, Nominal the Best, and Lower the Better, respectively. Different studies have been carried out in which the Taguchi method was applied in the optimization of different systems or processes (Abifarin, 2021; Samuel et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…The Taguchi robust optimization technique is a statistical process of experimental design in which carefully selected variable parameters at different levels combine and the optimum levels of these combinations which produce the best effects are systematically determined. Samuel et al (2021) applied the Taguchi method in the development of a natural ber-reinforced polymer material. The approach used brought about an improvement in the tensile property of the material.…”

Section: Introductionmentioning

confidence: 99%

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Production and Optimization of GLP-HDPE Composite Materials Using the Robust Taguchi Technique

JATAU¹,

Yawas²,

Kuburi³

et al. 2022

Preprint

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With the increase in the use of high-density polyethylene (HDPE) products and the serious long-term hazard it poses to the environment, there has been an increasing need to decrease the release of these materials to the environment as waste. This study sets out to develop and optimize the mechanical properties of GLP-HDPE composite, a sustainable material from agro residues (ginger leaves particles (GLP)) and high-density polyethylene waste materials. The Taguchi robust technique, analysis of variance, and regression analysis were employed to optimize, analyze and model the behavior of the composite materials in respect to developmental factors of particle size and particle content. The optimum bending modulus of elasticity (MOE), modulus of rupture (MOR) and impact energy (IE) of the developed composites was 2490MPa, 11.90MPa, and 4.1J at particle size/particle content combination of 710µm/35%, 520µm/35%, and 710µm/45% respectively. Analysis of variance at 95% confidence level showed that the particle content and a significant effect on the MOE, MOR, and IE of the GLP-HDPE composite with a minimum percentage contribution of 71.61%. Equations for predicting the MOE, MOR, and IE of the composites were developed with good prediction accuracy.

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Modeling and optimization of the manufacturing parameters of a hybrid fiber reinforced polymer composite PxGyEz

Cited by 20 publications

References 30 publications

Manufacturing of a natural fiber/glass fiber hybrid reinforced polymer composite (PxGyEz) for high flexural strength: an optimization approach

Manufacturing of a natural fiber/glass fiber hybrid reinforced polymer composite (PxGyEz) for high flexural strength: an optimization approach

Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective

Production and Optimization of GLP-HDPE Composite Materials Using the Robust Taguchi Technique

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