Published July 4, 2023 | Version 1

Mechanical properties on Metal Additive manufacturing

Description

Mechanical properties on Metal Additive manufacturing

Abstract

This dataset contains the results on the experimental procedure to gather data on the manufacturing of Additive Manufacturing (AM) pieces for Laser Metal Deposition (LMD) processes.To create this dataset, a set of 37 pieces were manufactured using the same material and procedure but different manufacturing parameters and strategies. The process was monitored and recorded, capturing thermal images and sensor readings on each point of the manufacturing. Each one of the pieces was divided in 4 coupons, that were tested to obtain mechanical properties of resistance and hardness.

 

Contents

This dataset contains data related to 37 coupons (named T1 - T37), including the monitoring data gathered during manufacturing, the process parameters, results of tensile testing, results of hardness testing and pictures of the coupons.

The dataset is structured as follows:

  • [Piece ID]
    • Hdf5 file
    • Piece picture
    • Piece crosssection
  • Testing
    • Parameters.csv: tabular data with process parameters and piece measurements as a direct result of the manufacturing
    • Coupons.csv: tabular data with tensile and hardness metrics on the tested coupons for each piece
  • README: explicative document

 

Formats

The data is provided in the following formats:

  1. Monitoring: HDF5 file format. This format allows the recording of multimodal manufacturing data.
  2. Pictures: jpg format
  3. Parameters: csv file containing process parameters
  4. Coupons: csv file with the material testing results.

More information on the contents and formats of the dataset is contained in the attached README document.

 

Acknowledgments

This work has been funded under the "Red de Excelencia en Fabricación Aditiva" (READI) with the support of the Spanish Ministry of Science and Innovation and the Centre for the Development of Industrial Technology (CDTI), under the program Cervera (CER-20191020).

 

Files

T1.zip

Files (40.1 GB)

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