Table 1.4 Specific properties of the fibers with respect to the cost ratio.
Fiber type | Specific tensile strength (MPa)/(g/cm3)/cost ratio | Specific tensile modulus (GPa)/(g/cm3)/cost ratio | Specific elongation (%)/(g/cm3)/cost ratio |
---|---|---|---|
Coir | 537.53 | 14.55 | 109.82 |
Date palm | 11 514.29 | 448.81 | 650.00 |
Jute | 1 733.33 | 133.10 | 4.33 |
Hemp | 403.45 | 39.14 | 1.55 |
Kenaf | 1 070.64 | 62.68 | 3.90 |
Oil palm | 628.91 | 7.09 | 80.53 |
Hence, Table 1.3 lists the specific properties for the fibers (the average values of each property divided by the average values of the density).
The obtained specific properties calculated in Table 1.3 are further calculated with respect to the cost ratio as tabulated in Table 1.4.
It is believed that a comparison of the natural fibers using the combined physical, mechanical, and economic information would result in better evaluation of the available natural fibers and resources. It can be noticed here that the specific tensile strength to cost ratio for the date palm was five times that of jute. Therefore, combined evaluations would lead to better evaluation of fibers as it can be realized that date palm fiber is better than jute once specific properties to cost ratio evaluation criterion is considered.
1.6 Life‐cycle Assessment
The Life‐cycle assessment (LCA), as the name implies, is an assessment method of the environmental impacts along the whole life of the product, starting from preparing the raw materials, and passing through producing, distributing, using, maintaining, and ending by disposing or recycling. Designers use this method in evaluating their products. It can widen the view of the environmental concerns through compiling an inventory of relevant energy and material inputs and environmental releases; assessing the potential effects accompanying the identified inputs and outputs; and helping in adopting more realistic decisions. In general, the LCA used an iterative process to arrive at the results. These results provide further information to the production process and guide toward the most important environmental input or output that should be highly monitored. Several case studies for the environmental impacts of the life cycle of many products were reported in the literature [60–64]. All the studies conclude that the LCA is an effective tool to assess the environmental impacts of the different products along their life, as well as it aids in selecting ecofriendly materials. Hence, using LCA in planning and management strategies helps in delivering more sustainable products and protecting the health of the people. The extra information obtained from LCA can help in improving the inventory analysis, and in adopting more informative decisions. Further environmental improvements can be achieved using LCA through evaluating the potential effects accompanying specified inputs and outputs.
There are three types of LCA; these are: conceptual, simplified, and detailed. These types can be applied in many ways where each type has its own strengths and weaknesses. The life cycle of each product passes through many stages starting from extracting and preparing the raw materials, manufacturing, distributing, storing, using, and ending by disposing or recycling the products to reduce the environmental effect.
Recycling is defined as converting the materials and the products at the end of their life to new useful products. It exploits the potentially useful materials from waste, reduce the demands for raw materials, reduce the energy consumption, and reduce the air and water pollutions. Each stage of the LCA have inputs (raw materials and energy) and outputs (gas emissions and solid wastes). Thus, the role of the LCA is to study the environmental impacts of these inputs and outputs on each stage of the product life, and trying to reduce these impacts and deriving the potential benefits from them. The LCA is composed of four phases:
Goal and scope
The purpose of this study is to select a product and determine the objective of the study (comparison, improvement) and fix boundaries accordingly.
Inventory analysis
Collecting as much information as possible on the inputs and outputs at each stage of the product life.
Impact analysis
Studying the environmental impacts of the inputs and the outputs at each stage of the product life.
Interpretation
Using the data and information collected, the product life cycle will be improved, and the environmental impact will be reduced.
The LCA is performed by passing over these phases frequently in an iterative manner.
1.7 Conclusions
Improving the different features of the biobased composites is directly reflected by the progress achieved in the evaluation and selection processes of their constituents, in addition to the preparation and treatment of fiber–polymers. Therefore, it is very important to build robust and efficient selection methods to improve the performance of the biocomposites, and to reduce the negative environmental effects. Doing this would lead to more informed decisions and save efforts and time. Application of such methods can be expanded to include more characteristics and more potential types of the composites' constituents to derive new biomaterials with optimal performance for a greener future.
References
1 1 AL‐Oqla, F.M., Sapuan, M.S., Ishak, M.R., and Nuraini, A.A. (2015). Selecting natural fibers for bio‐based materials with conflicting criteria. American Journal of Applied Sciences 12 (1): 64–71.
2 2 AL‐Oqla, F.M. and Sapuan, S. (2015). Polymer selection approach for commonly and uncommonly used natural fibers under uncertainty environments. JOM 67 (10): 2450–2463.
3 3 Al‐Oqla, F.M. and Sapuan, S. (2018). Natural fiber composites. In: Kenaf Fibers and Composites, vol. 1 (eds. S.M. Sapuan, J. Sahari, M.R. Ishak and M.L. Sanyang). CRC Press.
4 4 AL‐Oqla, F.M. (2017). Investigating the mechanical performance deterioration of Mediterranean cellulosic cypress and pine/polyethylene composites. Cellulose 24 (6): 2523–2530.
5 5 Al‐Oqla, F.M. and El‐Shekeil, Y. (2019). Investigating and predicting the performance deteriorations and trends of polyurethane bio‐composites for more realistic sustainable design possibilities. Journal of Cleaner Production 222: 865–870.
6 6 Alaaeddin, M., Sapuan, S., Zuhri, M. et al. (2018). Properties