Skip to content
naulon
Not checkedNot checked for notices yet.

A novel generalized stress invariant-based strength model for inter-layer failure of FFF 3D printing PLA material

Tianyun Yao, Kai Zhang, Zichen Deng and 1 more

Materials & Design · 2020

doi:10.1016/j.matdes.2020.108799 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

As an inherent defect of Fused Filament Fabrication 3D printing materials, the occurrence of inter-layer failure reduces the tensile failure strength significantly. To better understand this defect and improve the mechanical properties of FFF 3D printing materials and structures, the distribution and basic mechanical principles of inter-layer failure are explored in detail in this study. Tensile experiments of a wide range of layer thicknesses (0.1 mm to 0.6 mm) and printing angles (0° to 90°) are carried out to find the distribution range and features of inter-layer failure. Additionally, a novel generalized strength model is established to predict the tensile failure strength of inter-layer failure of FFF 3D printing PLA material. Experimental results show that the distribution range of inter-layer failure increases significantly as the layer thickness increases from 0.1 mm to 0.6 mm, and inter-layer failure tends to occur when the printing angle and the tensile failure strength are small. All the Root Mean Square (RMS) error between theoretical results and experimental data of tensile failure strength of inter-layer failure are less than 10%. Therefore, the theoretical model established in this study has the ability to predict the tensile failure strength of inter-layer failure of FFF 3D printing PLA material accurately.

Abstract licence: CC BY-NC

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.