The correlation of local deformation and stress-assisted local phase transformations in MMC foams

Berek, Harry; Ballaschk, Uta; Aneziris, Christos G.; Losch, Katharina; Schladitz, Katja

doi:10.1016/j.matchar.2015.06.020

Cited by 15 publications

(5 citation statements)

References 33 publications

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“…Very early on, various types of foams were imaged via tomography and their behavior was studied thanks to DVC [207,11,197,181,59,15,64]. The degradation mechanisms of such materials in indentation experiments received some attention [231,20,22].…”

Section: Introductionmentioning

confidence: 99%

Digital Volume Correlation: Review of Progress and Challenges

et al. 2018

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3D imaging has become popular for analyzing material microstructures. When time lapse series of 3D pictures are acquired during a single experiment, it is possible to measure displacement fields via digital volume correlation (DVC), thereby leading to 4D results. Such ForewordThe present paper aims at reviewing the major developments in Digital Volume Correlation (DVC) over the past ten years. It follows the first review on DVC that was published in 2008 by its pioneer [11]. In the latter, the interested reader will find all the general principles associated with what is now called local DVC. They will not be recalled hereafter. In such approaches the region of interest is subdivided into small subvolumes that are independently registered. In addition to its wider use with local approaches, DVC has been extended to global approaches in which the displacement field is defined in a dense way over the region of interest. Kinematic bases using finite element discretizations have been selected. To further add mechanical content, elastic regularization has been introduced. Last, integrated approaches use kinematic fields that are constructed from finite element simulations with chosen constitutive equations. The material parameters (and/or boundary conditions) then become the quantities of interest.These various implementations assume different degrees of integration of mechanical knowledge about the analyzed experiment. First and foremost, DVC can be considered as a stand-alone technique, which has seen its field of applications grow over the last ten years. In this case the measured displacement fields and post-processed strain fields are reported. With the introduction of finite element based DVC, the measured displacement field is continuous. It is also a standalone technique. However, given the fact that it shares common kinematic bases with numerical simulations, it can be easily combined with the latter. One route is to require local satisfaction of equilibrium via mechanical regularization. Another route is to fully merge DVC analyses and numerical simulations via integrated approaches. Different examples will illustrate how these various integration steps can be tailored and what are the current challenges associated with various approaches.

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Section: Introductionmentioning

confidence: 99%

Digital Volume Correlation: Review of Progress and Challenges

et al. 2018

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“…The MMC foam in Figure 2 serves as a very good example. Similar samples have been tested macroscopically quite extensively [2,3]. It was found that such foams behave more or less like metallic foams, and -as indicated earlier -one can identify the regimes of elasticity, plastic collapse, and densification quite well.…”

Section: A Pipeline For Materials Testingmentioning

confidence: 55%

Ex- and in-situ tests of materials: From design to materials parameters via motion estimation

Nogatz¹,

Redenbach²,

Schladitz³

2023

eJNDT

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Materials tests are inevitable to investigate how materials behave under load. This also holds for materials that are not manufactured from bulk material but exhibit an interesting microstructure. Unfortunately, in this case classical stress-strain investigations are no longer sufficient to deduce a proper description of failure mechanisms. To overcome this problem, materials testing is usually combined with an imaging modality to gain information on local material behavior. The combination with classical digital cameras is quite common, but only yields surface information. Here, we present a framework to combine mechanical tests with computed tomography. Such in situ tests are not new, however, we also give information on how to perform tests ex situ. Our special focus is on motion estimation. We use an algorithm that is particularly suitable for delicate behavior of materials with interesting microstructures such as foams. The whole pipeline for materials tests, either in situ or ex situ, is outlined using two foam examples.

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“…For damage analysis they used very similar analysis techniques as presented in this contribution: insitu CT experiments were evaluated by using digital volume correlation (DVC) and local failure was derived from deformation field and correlated with the damaged microstructure. Berek et al [10] used in-situ compression experiments in a Xray computed tomography device to investigate the local deformation and the correlated phase transformation in the metallic phase of their MMC foam. Amsterdam et al [11] investigated the fracture behaviour of a foam, made of recycled MMC material (Al-9Si with 20 vol.-% SiC particles).…”

Section: Foamsmentioning

confidence: 99%