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Micromechanical Modeling for Tensile Properties of Wood Plastic Composites: Use of Pruned Waste from Pecan Orchards as Sustainable Material for Reinforcement of Thermoplastic Composite.
Díaz-Mendoza, Juan Miguel; Valles-Rosales, Delia J; Park, Young H; Sabo, Ronald C.
Affiliation
  • Díaz-Mendoza JM; Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juarez, Av. Del Charro 450, Juarez Chih 32410, Mexico.
  • Valles-Rosales DJ; Department of Industrial Engineering, New Mexico State University, 1060 Frenger Mall Dr. MSC 4230, Room 294, Las Cruces, NM 88003, USA.
  • Park YH; Department of Mechanical Engineering, New Mexico State University, 1780 E. University Ave, Las Cruces, NM 88003, USA.
  • Sabo RC; USDA Forest Products Laboratory, One Gifford Pinchot Drive, Madison, WI 53726, USA.
Polymers (Basel) ; 14(3)2022 Jan 27.
Article in En | MEDLINE | ID: mdl-35160493
Wood plastic composites (WPCs) specimens containing high-density polyethylene (HDPE) and wood pruning waste were manufactured and evaluated for their mechanical properties. Pecan waste was used as an accessible and sustainable source in this study, and the effects of its particle size and concentration on WPC strengths were evaluated. Pecan waste was milled and sieved to various particle sizes, and testing samples were fabricated by mixing them in a twin-screw extruder and injection molding. A coupling agent was used to create a stable bond between the HDPE and wood. Both tensile modulus and strength were increased with an increasing pecan flour concentration up to about 60 weigh percent. A micromechanical model is proposed for predicting the mechanical properties of the wood flour/fiber reinforce composite. This model uses a correction factor of an elliptical of carried sizes and shapes. The preliminary results of the model have a high correlation with the experimental values of the composite in all mesh sizes.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Polymers (Basel) Year: 2022 Document type: Article Affiliation country: Mexico Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Polymers (Basel) Year: 2022 Document type: Article Affiliation country: Mexico Country of publication: Switzerland