Sensitivity analysis: A tool for tailoring environmentally friendly materials

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In this article, we examine the use of sensitivity analysis for the optimization of selected physical properties in rubber compounds and determine objective criteria which allow for the reduction of environmental load during rubber compound production. The sensitivity analysis shows how significantly each input value affects the output value, and the response graphs express the effect of the selected parameter on the output value. The solutions described in the article are applicable to other production technologies. We present a sensitivity analysis based on the prediction of selected mechanical properties of rubber mixtures composed of Standard Malaysian Rubber (SMR). Two blends were pre- pared by mixing SMR and oleic acid and different concentrations of surfactant (2, 4, 6, 8, 10, 20, 30 wt%). Tensile strength Rm and moduli M100, M200, M300 were measured and evaluated. The sensitivity analysis showed the significance of certain ingredients which affect the measured mechanical properties.

论文关键词:Rubber blends,Plasticizers,Artificial neural networks,Sensitivity analysis,Predictions

论文评审过程:Received 7 February 2022, Revised 13 May 2022, Accepted 30 June 2022, Available online 8 July 2022, Version of Record 20 July 2022.

论文官网地址:https://doi.org/10.1016/j.eswa.2022.118039