Natural fibre selection for composite eco-design

Corona, Andrea; Madsen, Bo; Hauschild, Michael Zwicky; Birkved, Morten

doi:10.1016/j.cirp.2016.04.032

Cited by 22 publications

(5 citation statements)

References 13 publications

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“…Micromechanics of materials can be measured by using micromechanical properties such as mechanical and physical properties. An integrated method with a micromechanical model is used to perform the life cycle assessment [22]. In addition, micromechanical model is used to classify heterogeneous materials like composite [23,24].…”

Section: Introductionmentioning

confidence: 99%

Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach

Muhammad¹,

Sapuan²,

Mastura³

et al. 2019

Journal of Renewable Materials

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Material selection has become a critical part of design for engineers, due to availability of diverse choice of materials that have similar properties and meet the product design specification. Implementation of statistical analysis alone makes it difficult to identify the ideal composition of the final composite. An integrated approach between statistical model and micromechanical model is desired. In this paper, resultant natural fibre and polymer matrix from previous study is used to estimate the mechanical properties such as density, Young's modulus and tensile strength. Four levels of fibre loading are used to compare the optimum natural fibre reinforced polymer composite (NFRPC). The result from this analytical approach revealed that kenaf/polystyrene (PS) with 40% fibre loading is the ideal composite in automotive component application. It was found that the ideal composite score is 1.156 g/cm 3 , 24.2 GPa and 413.4 MPa for density, Young's modulus and tensile strength, respectively. A suggestion to increase the properties on Young's modulus are also presented. This work proves that the statistical model is well incorporated with the analytical approach to choose the correct composite to use in automotive application.

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Section: Introductionmentioning

confidence: 99%

Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach

Muhammad¹,

Sapuan²,

Mastura³

et al. 2019

Journal of Renewable Materials

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“…Moreover, the production processes used in making these synthetic fibers are energy intensive. Corona et al (2016) analyzed the potential of using plant based natural fibers to replace synthetic fibers in composites. Using life cycle assessment (LCA), they concluded that replacement of glass fibers with flax fibers show a general reduction of the environmental impact regardless of the type of application.…”

Section: Composite Materials Innovationmentioning

confidence: 99%

Materials informatics

et al. 2018

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Materials informatics employs techniques, tools, and theories drawn from the emerging fields of data science, internet, computer science and engineering, and digital technologies to the materials science and engineering to accelerate materials, products and manufacturing innovations. Manufacturing is transforming into shorter design cycles, mass customization, ondemand production, and sustainable products. Additive manufacturing or 3D printing is a popular example of such a trend. However, the success of this manufacturing transformation is critically dependent on the availability of suitable materials and of data on invertible processing-structure-property-performance life cycle linkages of materials. Experience suggests that the material development cycle, i.e. the time to develop and deploy new material, generally exceeds the product design and development cycle. Hence, there is a need to accelerate materials innovation in order to keep up with product and manufacturing innovations. This is a major challenge considering the hundreds of thousands of materials and processes, and the huge amount of data on microstructure, composition, properties, and functional, environmental, and economic performance of materials. Moreover, the data sharing culture among the materials community is sparse. Materials informatics is key to the necessary transformation in product design and manufacturing. Through the association of material and information sciences, the emerging field of materials informatics proposes to computationally mine and analyze large ensembles of experimental and modeling datasets efficiently and cost effectively and to deliver core materials knowledge in user-friendly ways to the designers of materials and products, and to the manufacturers. This paper reviews the various developments in materials informatics and how it facilitates materials innovation by way of specific examples. KeywordsMaterials informatics • Materials data analytics • Materials modelling • Materials data mining • Materials selection • Materials web platform • Materials 4.0 B Seeram Ramakrishna

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“…It shows that tradeoffs between environmental benefits and environmental burdens can occur when compared to fossil-based materials. Although biocomposites have been found to have lower environmental impacts when compared to materials made from fossil plastics for several important impact categories, including, human toxicity, ecotoxicity, resource depletion, and climate change (Corona et al, 2016;Deng et al, 2016;Duigou and Baley, 2014;Rosa et al, 2014), they can cause environmental impacts related to eutrophication, land use and climate change impacts due to agriculture (Kim et al, 2008;Korol et al, 2016;Papong et al, 2014). Kim et al, 2008 showed that surface modification of natural fibers using chemicals contributed to impacts from photochemical smog, acidification and eutrophication.…”

Section: Introductionmentioning

confidence: 99%