Wood Polymer Composites Optimizer with Genetic Algorithm

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Wood polymer composites, or natural fiber composites are basically made up from a combination of plastic and wood flour. Usually, its quality is measured and depended on the mechanical properties that were used as composite materials for product development. Hence, a lot of laboratory experiments were conducted in factories for testing the durability of this product. However, there is still a lack of the solution for an automated system to formulate the wood polymer composite composition efficiently. This paper addresses the use of a genetic algorithm in finding an optimal composition for each of the properties used in producing a better-quality product. A new solution representation to map the composite composition is pro-posed. Different parameters were employed in the computational experiments with the aim to find the best fitness value for the composition. The stochastic behavior that was embedded in genetic algorithm has demonstrated diverse solutions with regards to the search exploration and exploitation capability towards the feasible solutions and convergence. The findings demonstrate a great potential ability of genetic algorithm in finding good accuracy for other wood polymer composites such as tropical timber as wood polymer materials.  It is expected to reduce cost and time as compared to traditional laboratory way.

     

     


  • Keywords


    Genetic Algorithms; Metaheuristic; Stochastic; Wood Materials; Wood Polymer Composite

  • References


      [1] Bolin CA & Smith S (2011), Life cycle assessment of ACQ-treated lumber with comparison to wood plastic composite decking. Journal of Cleaner Production 19( 6-7), 620-629.

      [2] Academy of Sciences Malaysia (2015)."Final Report Furniture Industry", pp. 94–108.available online:

      [3] www.akademisains.gov.my, last visit: 15.10.2018

      [4] Stark N, Influence of moisture absorption on mechanical properties of wood flour-polypropylene composites. Journal of thermoplastic composite materials,14(5), 421-432.

      [5] Ibach RE, Durability of wood-plastic composite lumber. McGraw-Hill, (2010), pp:113-116

      [6] Umemura, T, Arao Y, Nakamura S, Tomita Y & Tanaka,T (2014), Synergy effects of wood flour and fire retardants in flammability of wood-plastic composites. Energy Procedia 56, 48-56.

      [7] Rowell RM, "Advances and challenges of wood polymer composites". Proceedings of the 8th Pacific Rim Bio-Based Composites Symposium, Advances and Challenges in Biocomposites (2006), pp: 2-11.

      [8] Yusoff M, Shalji SM & Hassan R, "Particle swarm optimization for single shear timber joint simulation. InCIEC (2014), pp: 117-126.

      [9] Hassan R, Ibrahim A, Ahmad & Yusof M, "Dowel-Bearing Strength Properties of Two Tropical Hardwoods", InCIEC (2014), pp. 27-36.

      [10] Yusoff M, Othman DF, Latiman AT, & Hassan R (2016)Evaluation of hybrid monte-carlo and genetic algorithm for tropical timber joint strength. Journal of Engineering and Applied Sciences 11(7), 1682-1686.

      [11] Schwarzkopf MJ & Burnard, MD, "Wood-plastic composites—Performance and environmental impacts". In Environmental Impacts of Traditional and Innovative Forest-based Bioproducts, (2016), pp: 19-43.

      [12] Michaeli W & Hopmann C, Extrusion dies for plastics and rubber, Hanser Publishers, (2016).

      [13] Wang J, Wang S, Du Z & Peng, J (2018), Properties of Insert Injection Molded Polypropylene Single‐Polymer Composites with Uniaxial Fibers. Macromolecular Symposia 378, 1. 1600154.

      [14] Fernandes C, Pontes AJ, Viana JC & Gaspar‐CunhaA (2018), Modeling and Optimization of the Injection‐Molding Process: A Review. Advances in Polymer Technology 37(2), 429-449.

      [15] Bhaskar J, Haq S & Yadaw S (2011), Evaluation and testing of mechanical properties of wood plastic composite. Journal of Thermoplastic Composite Materials, 25(4), 391–401.

      [16] Eberhart RC & Shi Y, "Comparison between genetic algorithms and particle swarm optimization", Proceedings of International conference on evolutionary programming, (1998), pp: 611-616.

      [17] Sastry K, Goldberg D & Kendall G, Search methodologies, genetic algorithms, Springer, Boston, MA (2005), pp: 97-125.


 

View

Download

Article ID: 25994
 
DOI: 10.14419/ijet.v8i1.7.25994




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.