Research data to "Continual Learning-Based Process Modeling for Cutting Parameter Optimization in Single-Part Manufacturing"

dc.contributor.author Sarikaya, Erkut
dc.date.accessioned 2026-02-02T14:41:33Z
dc.date.created 2026-02-02
dc.date.issued 2026-02-02
dc.description This dataset contains the documented experimental research data used in the dissertation “Continual Learning-Based Process Modeling for Cutting Parameter Optimization in Single-Part Manufacturing.” The experiments were conducted on a Datron MX Cube and comprise 180 machining trials, each representing one produced workpiece with multiple manufactured features. The dataset provides structured information on the design of experiments, applied cutting parameters, feature-based quality measurements (surface roughness and CMM inspection), as well as recorded time-series process data and simulation results. Further details on the data structure and contents are provided in the accompanying README.
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/5017
dc.language.iso en
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject.classification 4.11-06
dc.subject.ddc 670
dc.title Research data to "Continual Learning-Based Process Modeling for Cutting Parameter Optimization in Single-Part Manufacturing"
dc.type Dataset
dc.type Text
dcterms.accessRights openAccess
person.identifier.orcid 0000-0001-9263-573X
tuda.agreements true
tuda.project Bund/BMBF | 02P20A064 | AICoM
tuda.unit TUDa

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NameDescriptionSizeFormat
quality_data.xlsx1.66 MBMicrosoft Excel XML Download
README.md2.01 KBUnknown data format Download
exp_151-180.zip1.14 GBZIP-Archivdateien Download
exp_1-30.zip2.87 GBZIP-Archivdateien Download
exp_31-60.zip476.8 MBZIP-Archivdateien Download
exp_61-90.zip3.13 GBZIP-Archivdateien Download
exp_91-120.zip706.31 MBZIP-Archivdateien Download
exp_121-150.zip3.6 GBZIP-Archivdateien Download
design_of_experiments.xlsx7.3 MBMicrosoft Excel XML Download

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