Simulation of injection molding process and 3D-printing of forming parts for small-batch production

Timofeeva, Olga S.; Andreev, Yu.S.; Yablochnikov, Eugeny I.

doi:10.1109/indin41052.2019.8972072

Cited by 2 publications

(1 citation statement)

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“…The appearance of new composite materials, which are suitable for additive manufacturing, enables rapid production of replaceable moulding inserts of reconfigurable injection moulds [29][30][31]. In this project, materials with different properties were selected for replaceable inserts of injection moulds using additive technologies: PA2200 (EOS), Digital ABS Plus (Stratasys), Accura Bluestone and Accura High Performance Composite (3DSystems) [18,32].…”

Section: (A) Unified Technological Processmentioning

confidence: 99%

Development of an industrial cyber-physical platform for small series production using digital twins

Yablochnikov

Chukichev

Timofeeva

et al. 2021

Phil. Trans. R. Soc. A.

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The article describes an industrial cyber-physical platform for small series production using digital twins under development at ITMO University (Saint Petersburg, Russia). The platform is based on the following approaches: group technology, adaptive and selective assembling, and digital twin of production systems and processes. The article presents a mechanism for constructing a unified manufacturing process, and results of an integrated multiscale simulation of an injection moulding process. The issues of ensuring identification and monitoring of objects of the industrial cyber-physical platform are considered. Specific service applications required to implement the smart product concept are discussed. The combination of the considered technologies is used to create digital twins of production system objects. All humans that have different roles in the product value stream can interact with the industrial cyber-physical platform at the three levels, receiving support in performing their tasks. This article is part of the theme issue ‘Towards symbiotic autonomous systems’.

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Section: (A) Unified Technological Processmentioning

confidence: 99%