Statistical modeling and response surface optimization on natural weathering of wood–plastic composites with calcium carbonate filler

Lifetime prediction under dead-load long-term creep test and models analysis of wood-plastic composites for building materials

“…According to the tests under different load levels of the ultimate flexural strength, it was found that the deflections of the rPP are 2.45, 4.65 and 6.68 mm whereas the WPC samples values of 1.53, 2.41 and 3.37 mm, respectively. The rubberwood flour as a reinforcement was found to hold the deflection of the composites resulting in having a lower value of deflection than that of rPP [23,24]. The comparison creep curve in each level of the ultimate flexural strength found that the rPP gave more creep than that of WPCs at the same load level.…”

“…An example of such simple model is the Power law model. Subramanian and Senthilvelan [22] and Srivabut et al [23] used the Power law model for the three-point bending creep of glass fibre reinforced thermoplastics. Also, the American Society of Civil Engineers (ASCE) recommends this model for the analysis of composite materials under long-term structural loading, in their structural plastics design manual [22].…”

Manufacturing and Modeling of Polypropylene-based Hybrid Composites by Using Multiple-Nonlinear Regression Analysis

“…Although the experiment is an important process to determine mechanical and physical properties of lignocellulose-based hybrid composites, it is worth noting that putting forward mathematical models that can correctly explain and verify the experimental results is a necessity that cannot be ignored. In this regard, Response Surface Method and ANOVA are frequently used together in the literature (Ashenai Ghasemi et al, 2016;Ayaz et al, 2018;Nor et al, 2021;Ragunath et al, 2021;Srivabut et al, 2021;Syed et al, 2020;Yiga et al, 2021). Supporting the experimental results with mathematical models makes it possible to create alternative designs, determine the effects of the design parameters correctly, and depending on these can be improved the obtained values of the response variables.…”

“…The coefficient of determination (R 2 ) parameter was considered as a success criterion to evaluate the prediction performance of proposed models. It was found that the R 2 gets changing values between 0.86 and 0.99 for all models (Srivabut et al, 2021). The experimental investigation and mathematical modeling were carried out regarding the mechanical properties of sisal and glass fiber reinforced hybrid composite (Ragunath et al, 2021).…”