Expansion of the dynamic strain field in 3D-printed structures using a hybrid modeling approach

Miha Kodrič (Author), Gregor Čepon (Author), Miha Boltežar (Author)

Abstract

The 3D printing of machine components is becoming an established technique. To ensure their robustness and longevity, it is crucial to numerically predict the dynamic response of these components in a variety of operating conditions. Dynamic properties are conventionally obtained in the form of displacement or strain-based response models. However, numerical modeling of the dynamic properties of 3D-printed structures can be a tedious task, mainly due to the complex geometry of the infill pattern and the influence of the printing parameters on the material and geometric properties. Alternatively, the dynamic properties can also be represented in the form of an experimental response model. This reflects the real dynamic properties, but is usually subject to measurement errors and has a low spatial resolution. To integrate the benefits of numerical and experimental response models, we propose a hybrid modeling approach with the System Equivalent Mixing method. The method was extended to a form that could integrate dynamic response models with different physical quantities (displacement and strain). The approach was then analyzed on a 3D-printed beam with a complex infill pattern, where an accurate expansion of the strain response to a high spatial resolution was demonstrated.

Keywords

full-field strain response;expansion process PVDF;strain sensors;3D print;modal analysis;frequency response function;

Data

Language:	English
Year of publishing:	2023
Typology:	1.01 - Original Scientific Article
Organization:	UL FS - Faculty of Mechanical Engineering
UDC:	004.925.84:510.643.5
COBISS:	134914563
ISSN:	0263-2241
Views:	21
Downloads:	5
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	polje specifičnih deformacij;razširitveni proces;merilna zaznavala;3D tisk;modalna analiza;frekvenčna prenosna funkcija;
Type (COBISS):	Article
Pages:	str. 1-10
Issue:	ǂVol. ǂ206
Chronology:	Jan. 2023
DOI:	10.1016/j.measurement.2022.112339
ID:	17480036