J. Voges, M. Müller, A. Lang, M. Klüppel, D. Juhre
{"title":"Modeling the viscoelastic behavior of elastomer blends including a diffuse interphase","authors":"J. Voges, M. Müller, A. Lang, M. Klüppel, D. Juhre","doi":"10.1007/s00419-025-02788-6","DOIUrl":null,"url":null,"abstract":"<div><p>Blending elastomers is an attractive method for achieving desired mechanical properties in materials. While the experimental characterization of the viscoelastic properties is usually feasible for the pure phases, it can be difficult or even impossible for blends due to their components’ interactions and the complex behavior resulting from their different glass transition temperatures. Typically, blending elastomers results in heterogeneous morphologies comprising regions with (almost) pure phases and finite interphases. The pure phases and interphases both significantly influence the viscoelastic properties. Material modeling and numerical simulations can be employed to understand the phase interactions better and predict the resulting viscoelastic properties. In this contribution, we model and simulate a representative element of a binary blend consisting of natural rubber and styrene butadiene rubber. We use microscope images as the basis for the morphology that we input in our finite element simulations. The morphology is stored within a phase parameter for each spatial point in the domain and is evolved in an Allen–Cahn framework to create differently sized diffuse interphases. These are subsequently used for mechanical simulations to investigate the influence on the storage and loss moduli. Different blend ratios are approached.</p></div>","PeriodicalId":477,"journal":{"name":"Archive of Applied Mechanics","volume":"95 4","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00419-025-02788-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archive of Applied Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00419-025-02788-6","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
Blending elastomers is an attractive method for achieving desired mechanical properties in materials. While the experimental characterization of the viscoelastic properties is usually feasible for the pure phases, it can be difficult or even impossible for blends due to their components’ interactions and the complex behavior resulting from their different glass transition temperatures. Typically, blending elastomers results in heterogeneous morphologies comprising regions with (almost) pure phases and finite interphases. The pure phases and interphases both significantly influence the viscoelastic properties. Material modeling and numerical simulations can be employed to understand the phase interactions better and predict the resulting viscoelastic properties. In this contribution, we model and simulate a representative element of a binary blend consisting of natural rubber and styrene butadiene rubber. We use microscope images as the basis for the morphology that we input in our finite element simulations. The morphology is stored within a phase parameter for each spatial point in the domain and is evolved in an Allen–Cahn framework to create differently sized diffuse interphases. These are subsequently used for mechanical simulations to investigate the influence on the storage and loss moduli. Different blend ratios are approached.
期刊介绍:
Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.