Prediction of the Tensile Strength of an Experimental Design Reinforce Polyvinyl Chloride Composite using Response Surface Methodology

Abstract

In this study, a five factor Box-Behnken Design (BBD) was applied to plan and perform experiments for the production of composite polyvinyl chloride (PVC) material. The Box-Behnken Design combined with Response Surface Methodology (RSM) was utilized to optimise the production variables, physical and tensile strength of composite PVC. Design Expert ® software version 7.0.0, (Stat-ease, Inc. Minneapolis, USA) was used for the experimental design. The Design Expert ® software utilizes the concept of randomization to generate the experimental design. This was achieved by scheduling the experiments in a random manner in order to minimise the effects of unexplained variability in the response. The design involved five different variables; three of which are the composite constituents (PVC, raffia palm and plantain peduncle) and the remaining two are the production variables (temperature and pressure). An assessment of the results showed that the quadratic model was suitable for modelling the responses considered in this study. The R 2 value was close to one while the standard deviation was equally small. The result of the experimental and RSM predicted results for tensile strength showed that for all responses considered, there was close similarity between the experimental results and those predicted by the quadratic model. The results of the parity plots obtained shown that there was a good fit between the model predictions and the experimental results, thus, validated. Besides, increasing the proportion of PVC resulted in a steep and significant increase in the tensile strength of the composite. Thus, the tensile strength was improved as a result of the synergistic effect of the PVC and the fiber. However, increasing the level of rattan and plantain peduncle did not result in an increase in the tensile strength of the composite and this was as a result of the low lignin content of these fiber materials. Similarly, increasing the temperature and pressure resulted in a decrease in the tensile strength of the composite pipes.

Springback Prediction Performance and Experimental Analysis in the V-bending Process of SCGADUB1180 Advanced High-Strength Steel

“…Y=Ø(R, α, RD) (6) The relationship between input parameters and response parameters was investigated by Response Surface Methodology (RSM). The RSM method is widely applied in the field of engineering [46]- [48]. For example, it can be used in manufacturing to maximize efficiency, minimize the cost of a production process, or optimize the quality of a product.…”

Investigation of the Effect of the Surface Treatment and Lubrication During Repeated Tightening on the Nut Coefficient of a Bolted Joint Using the Taguchi Method

“…To study the impact of different parameters on the nut coefficient of the bolted joints, using the design of experiment (DoE) techniques, such as Central Composite Design (CCD) [47], [48], Taguchi orthogonal array [49]- [52], Box Behnken Design (BBD) [53], [54], and Response Surface Methodology (RSM) [55], [56], are important. The above mentioned methods can give a systematic and structural approach to evaluating the impact of different input parameters on a single response variable, enabling a better understanding of the response surface and the ability to identify the best parameter configurations with increased precision.…”