Short answer

Integrate FEA simulation into the design workflow for FDM parts to predict and mitigate thermal-induced deformation, optimizing build parameters for accuracy.

Field: Modelling
Source: SHILAP Revista de lepidopterología (2018)
Method: Simulation and Experimental Validation
Evidence: Strong effect

A 3D transient thermo-mechanical Finite Element Analysis (FEA) model, incorporating an 'element birth/death' technique, can accurately predict dimensional errors in Fused Deposition Modeling (FDM) parts due to thermal stresses. This modelling research insight is drawn from a 2018 study published in SHILAP Revista de lepidopterología. Using Simulation and experimental validation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate FEA simulation into the design workflow for FDM parts to predict and mitigate thermal-induced deformation, optimizing build parameters for accuracy.

Study

ModellingHigh ImpactStrong effect

FEA simulation predicts FDM part deformation with 3-6% accuracy

SHILAP Revista de lepidopterología · 2018

Key Findings

01The 3D FEA model successfully simulated the thermal and structural deformation of FDM parts.
02The relative error between the FEA model predictions and the actual fabricated parts was found to be between 3% and 6%.
03Build orientation and layer thickness were identified as significant influencing parameters on part deformation.

Application

Design takeaway

Integrate FEA simulation into the design workflow for FDM parts to predict and mitigate thermal-induced deformation, optimizing build parameters for accuracy.

How to apply

Before printing complex or dimensionally critical FDM parts, run a thermo-mechanical FEA simulation to assess potential warping and adjust build orientation, support structures, or print settings accordingly.

Project actions

01When designing for FDM, consider how internal stresses from heating and cooling can affect the final shape of your part.
02Use simulation software to test different print orientations and layer thicknesses to see which one results in the least amount of warping.

Method & Evidence

AimTo develop and validate a 3D FEA model that accurately predicts part deformation in Fused Deposition Modeling (FDM) based on thermal and structural factors.

MethodSimulation and Experimental Validation

ProcedureA 3D transient thermo-mechanical FEA model was developed using ANSYS, employing an 'element birth/death' technique to simulate the FDM process. The model considered material properties of ABS-P430 and analyzed the influence of build orientation and layer thickness. To validate the model, a standard design was fabricated using an FDM machine with identical parameters, and its deformation was measured and compared to the simulation results.

ContextAdditive Manufacturing (Fused Deposition Modeling)

Variables

IV["Build orientation","Layer thickness"]

DV["Part deformation (dimensional error)","Maximum principal stress"]

CV["Material (ABS-P430)","FDM machine type (implied for validation)"]

Strengths & Limitations

Strengths

+Development of a novel FEA modeling technique for FDM.
+Experimental validation of the simulation model.

Limitations

The accuracy of the simulation depends heavily on the quality of the input material data and the chosen simulation parameters. Real-world printing conditions can introduce variables not fully captured by the model.

Reliability & validity

The study's validity is supported by experimental validation, showing a low relative error (3-6%) between simulation and physical parts. Reliability would depend on the consistency of the FEA software and the precise control of experimental conditions.

Think critically

How might the 'element birth/death' technique in FEA simplify or oversimplify the complex, layer-by-layer material deposition and cooling process in FDM?

Design Principles

"Predictive simulation of thermal-mechanical stresses is crucial for achieving dimensional accuracy in additive manufacturing processes."

This predictive capability allows designers and engineers to anticipate and mitigate warping and deformation before physical prototyping, saving time and material costs. It enables optimization of build orientation and layer thickness to minimize dimensional inaccuracies in the final product.

What This Means for Your Design

Using computer simulations (FEA) can help predict how 3D printed parts will bend or warp due to heat, allowing you to fix the design before printing.

How to use in your project

1.Reference this study when discussing the challenges of dimensional accuracy in FDM and how simulation can be used to overcome them.
2.Use the findings to justify the use of simulation in your own design project to predict and minimize part deformation.

Add to My Project

Quick Cite

Paragraph starter

This research highlights the critical role of predictive modeling in additive manufacturing. By employing a 3D transient thermo-mechanical Finite Element Analysis (FEA) model, researchers demonstrated the ability to accurately predict dimensional errors in FDM parts, achieving a relative error of 3-6% between simulation and physical prototypes. This approach, which incorporates an 'element birth/death' technique to mimic the FDM process and considers parameters like build orientation and layer thickness, offers a valuable tool for designers to anticipate and mitigate thermal-induced deformation, thereby improving the accuracy and reliability of 3D printed components.

Source

SHILAP Revista de lepidopterología

Development of Thermal and Structural Deformation Model to Predict the Part Build Dimensional Error in Fused Deposition Modeling

journal · 2018

View source

Questions About This Research

What does the research say about fea simulation predicts fdm part deformation with 3-6% accuracy?: Integrate FEA simulation into the design workflow for FDM parts to predict and mitigate thermal-induced deformation, optimizing build parameters for accuracy. Evidence: SHILAP Revista de lepidopterología (2018).
Why does "FEA simulation predicts FDM part deformation with 3-6% accuracy" matter for design?: This predictive capability allows designers and engineers to anticipate and mitigate warping and deformation before physical prototyping, saving time and material costs. It enables optimization of build orientation and layer thickness to minimize dimensional inaccuracies in the final product.
How can designers apply this research?: Integrate FEA simulation into the design workflow for FDM parts to predict and mitigate thermal-induced deformation, optimizing build parameters for accuracy.
What were the main findings?: The 3D FEA model successfully simulated the thermal and structural deformation of FDM parts.. The relative error between the FEA model predictions and the actual fabricated parts was found to be between 3% and 6%.. Build orientation and layer thickness were identified as significant influencing parameters on part deformation.
What research method was used?: Simulation and Experimental Validation.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2018 journal from SHILAP Revista de lepidopterología.
What should I do differently in my next project?: Before printing complex or dimensionally critical FDM parts, run a thermo-mechanical FEA simulation to assess potential warping and adjust build orientation, support structures, or print settings accordingly.
What are the limitations?: The study focused on a specific material (ABS-P430) and a single FDM machine; results may vary with different materials, machines, or environmental conditions. The 'element birth/death' technique is a simplification of the actual FDM process.