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dc.contributor.authorOgorodnyk, Olga
dc.contributor.authorLarsen, Mats
dc.contributor.authorMartinsen, Kristian
dc.contributor.authorLyngstad, Ole Vidar
dc.date.accessioned2021-02-26T10:46:45Z
dc.date.available2021-02-26T10:46:45Z
dc.date.created2021-02-11T14:17:47Z
dc.date.issued2021
dc.identifier.citationProcedia CIRP. 2021, 97 453-458.en_US
dc.identifier.issn2212-8271
dc.identifier.urihttps://hdl.handle.net/11250/2730616
dc.description.abstractThis paper describes architecture and development of an open application programming interface (API) prototype for injection molding machines (IMMs), useable for sensor and machine/process data logging and setting necessary process parameter values. The API is based on PCMEF (presentation, control, domain and foundation) architectural framework and OSI 7 layer communication model. The interface allows to retrieve values of up to 97 machine and process parameters. It also includes a module for acquisition of data from additional sensors such as pressure and temperature sensors installed in the mold. Industrial Raspberry Pi (RevPi) is used to perform analog-to-digital signal conversion and makes sensors data accessible via the API. Logging of different parameters from the machine and from sensors is synchronized and sampling frequency can be adjusted if necessary. Depending on chosen frequency, the system can provide real-time or soft real-time communication. The interface allows to build a distributed computer-based system, which gives benefit over the use of a PLC system with respect to Industry 4.0 standards.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDevelopment of application programming interface prototype for injection molding machinesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber453-458en_US
dc.source.volume97en_US
dc.source.journalProcedia CIRPen_US
dc.identifier.doihttps://doi.org/10.1016/j.procir.2020.07.005
dc.identifier.cristin1888887
dc.relation.projectNorges forskningsråd: 256819en_US
dc.relation.projectNorges forskningsråd: 237900en_US
dc.description.localcodeThis article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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