AM Simulation Data

Published: 17 April 2021| Version 1 | DOI: 10.17632/r4vwy2j852.1
Contributor:

Description

Here we present an AM simulation data generated from Autodesk Netfabb Local Simulation, a non-linear finite element thermo-mechanical solver for additive manufacturing (AM) processes. The dataset contains two simulation trials based on Ti-6Al-4V material under various processing conditions. The simulation software generates fine-scale thermal data of laser scanning path and corresponding mechanical properties data across all time frames. Each dataset contain timestep folders and all related thermal and mechanical properties data can be found within timestep folders.

Files

Steps to reproduce

To produce the simulation data set, command line mode is utilized to generate fine-scale laser scanning path from Autodesk Netfabb local simulation. A set of material properties, process parameters and types of simulation settings are predetermined to run in background mode. The raw output data is then exported to a csv file which contains all thermal and mechanical information across all time step. A python code is utilized to clean and export each information according to the time steps and respective thermal and mechanical properties.

Institutions

Virginia Polytechnic Institute and State University, University of Tennessee Knoxville

Categories

Three Dimensional Printing

AM Process Data Template

Additive Manufacturing ProcessL-PBF
Process Parametersn/a
Process Date2021-01-05T17:00:00.000Z
Process DescriptionSimulation Additive Manufacturing Processes
CAD Filen/a
In-situ Monitoring Datan/a
Analyses softwareAutodesk NetfabbLocal Simulation
Process IDn/a

Ex-situ Characterization Data Template

Sample IDn/a
Process IDn/a
Characterization Typen/a
Characterization Instrumentn/a
Ex-situ Data IDn/a
Ex-situ Measurement Detailsn/a

In-situ Characterization Data Template

Sample IDn/a
Process IDn/a
Characterization Typen/a
Characterization Instrumentn/a
In-situ Data IDn/a
In-situ Measurement Detailsn/a

Research Process Flow

Process Flow for Additive Manufacturingn/a
Process Flow for Ex-situ Characterizationn/a
Process Flow for In-situ Characterizationn/a
Process Flow for Computational Modelingn/a

Software

Available SoftwareAutodesk Netfabb Local Simulation
TypeCommercial
Contact linkn/a

Publications

Sample IDn/a
Publication Titlen/a
Citationn/a
Authorsn/a

AM Sample Data Template

Sample IDn/a
Date2021-01-05T17:00:00.000Z
Alloy compositionInconel-618
Alloy certificaten/a
Process IDn/a
Additive Manufacturing ProcessL-PBF

MURI/AUSMURI University

User NameAndrew Chung Chee Law
Emailaclaw@vt.edu
UniversityVirginia Tech
Address250 Perry St, Blacksburg, VA 24061
Acknowledgementn/a
FunderONR
Web Link for the Projectn/a

Patents

Patent Titlen/a
Patent Applicationn/a

Computational Modelling

Objective of the ModelThe simulation data is generated based on non-linear FEA thermo-mechanical solver to replicate the dynamic process of actual additive manufacturing processes. The simulation data is used to learn a machine learning based surrogate model for correlating between thermal data and mechanical properties data.
Typical InputProcess parameter i.e. laser scan power, laser scan speed, layer height, hatch angle
Typical outputThermal data (temperature, interlayer temperature); mechanical properties (Von Misses stress, Cauchy stress, principle stress, displacement )
Typical simulation moviehttps://videos.autodesk.com/zencoder/content/dam/autodesk/www/products/netfabb/fy21/features/videos/fast-predictive-simulation-video-1920x1080.mp4
Computer System Requirementshttps://knowledge.autodesk.com/support/netfabb/learn-explore/caas/sfdcarticles/sfdcarticles/System-requirements-for-Autodesk-Netfabb-2020.html
HPC Contactn/a
Simulation IDn/a

Hardware

Available Hardwaren/a
Accessibilityn/a
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Licence