Nathaniel Wood, Edwin Schwalbach, Andrew Gillman, David J. Hoelzle
{"title":"Laser Powder Bed Fusion Process and Structure Data Set for Process Model Validations","authors":"Nathaniel Wood, Edwin Schwalbach, Andrew Gillman, David J. Hoelzle","doi":"10.1007/s40192-023-00323-5","DOIUrl":null,"url":null,"abstract":"<p>This work reports the measurement of laser powder bed fusion (PBF) process input signals, output signals, and structural data for a set of eight IN 718 samples. Data from multiple samples imparts statistical replicability to the measurements. The input signals are the real-time PBF laser position commands, power commands, and the beam radius set point. The output signals are thermographic videos from coaxial and off-axis infrared cameras, and temperature measurements from thermocouples embedded in the samples. The structural data are optical micrographs of all built surfaces. Data are collected for three testing regimes: First, the laser rasters over the samples under conditions that do not induce melting. Second, the laser rasters over the samples with conditions that induce melting. Lastly, five layers of IN 718 are built atop the samples. The main result is an open and comprehensive data set, comprising both raw and processed signal data, for validating PBF process and structure models.</p>","PeriodicalId":13604,"journal":{"name":"Integrating Materials and Manufacturing Innovation","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrating Materials and Manufacturing Innovation","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s40192-023-00323-5","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
This work reports the measurement of laser powder bed fusion (PBF) process input signals, output signals, and structural data for a set of eight IN 718 samples. Data from multiple samples imparts statistical replicability to the measurements. The input signals are the real-time PBF laser position commands, power commands, and the beam radius set point. The output signals are thermographic videos from coaxial and off-axis infrared cameras, and temperature measurements from thermocouples embedded in the samples. The structural data are optical micrographs of all built surfaces. Data are collected for three testing regimes: First, the laser rasters over the samples under conditions that do not induce melting. Second, the laser rasters over the samples with conditions that induce melting. Lastly, five layers of IN 718 are built atop the samples. The main result is an open and comprehensive data set, comprising both raw and processed signal data, for validating PBF process and structure models.
期刊介绍：
The journal will publish: Research that supports building a model-based definition of materials and processes that is compatible with model-based engineering design processes and multidisciplinary design optimization; Descriptions of novel experimental or computational tools or data analysis techniques, and their application, that are to be used for ICME; Best practices in verification and validation of computational tools, sensitivity analysis, uncertainty quantification, and data management, as well as standards and protocols for software integration and exchange of data; In-depth descriptions of data, databases, and database tools; Detailed case studies on efforts, and their impact, that integrate experiment and computation to solve an enduring engineering problem in materials and manufacturing.
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