%0 Journal Article %T State-of-the-art review on recent advances in polymer engineering: modeling and optimization through response surface methodology approach %+ Laboratoire des Fluides Complexes et leurs Réservoirs (LFCR) %+ Institut des sciences analytiques et de physico-chimie pour l'environnement et les materiaux (IPREM) %+ Centre de Recherche en Technologie des Semi-conducteurs pour l'Energétique %A Boublia, Abir %A Lebouachera, Seif El Islam %A Haddaoui, Nacerddine %A Guezzout, Zahir %A Ghriga, Mohammed Abdelfetah %A Hasanzadeh, Mahdi %A Benguerba, Yacine %A Drouiche, Nadjib %< avec comité de lecture %@ 0170-0839 %J Polymer Bulletin %I Springer Verlag %V 80 %N 6 %P 5999-6031 %8 2023-06 %D 2023 %R 10.1007/s00289-022-04398-6 %K Design of experiments %K Manufacturing %K Regression %K Modeling %K Optimization %K Polymer properties %K Response surface methodology %Z Chemical Sciences %Z Physics [physics]Journal articles %X Composites, blends, and polymer membranes are all examples of processes that may benefit from response surface methodology (RSM) to optimize material characteristics. RSM is a convenient technique for determining the effect of several variables and their interactions on single or multiple response variables. The theoretical foundations and practical applications of RSM including the advantages and disadvantages of some design models are thoroughly explained. The RSM technique is shown to be relevant for the first time in polymer science and engineering research. We'll divide it into three sections: RSM may be used in some scenarios for polymerization, manufacturing, and evaluating the characteristics of polymers. The paper also compares RSM and other optimization techniques to an artificial neutral network. This review should be beneficial to anyone involved in polymer RSM and optimization. %G English %L hal-04102070 %U https://univ-pau.hal.science/hal-04102070 %~ CNRS %~ UNIV-PAU %~ IPREM %~ INC-CNRS %~ LFCR %~ TEST2-HALCNRS