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

2021 ◽  
Vol 379 (2207) ◽  
pp. 20200370
Author(s):  
Eugeny I. Yablochnikov ◽  
Artemiy V. Chukichev ◽  
Olga S. Timofeeva ◽  
Oman A. Abyshev ◽  
Grigory E. Abaev ◽  
...  
Keyword(s):  
Group Technology ◽  
Production Systems ◽  
Autonomous Systems ◽  
Multiscale Simulation ◽  
Series Production ◽  
Moulding Process ◽  
Product Concept ◽  
Small Series ◽  
Digital Twins ◽  
Injection Moulding Process

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’.

Microfluidic biochip injection moulded using a patterned SU-8/Si mould insert

2011 ◽  
Vol 31 (2-3) ◽  
Author(s):  
Akanksha Singh ◽  
Laurent Robert ◽  
Gérard Michel ◽  
Chantal Khan-Malek
Keyword(s):  
Injection Moulding ◽  
Silicon Wafers ◽  
Thermoplastic Polymers ◽  
Mould Insert ◽  
Moulding Process ◽  
Small Series ◽  
Injection Moulding Process ◽  
Silicon Based

Abstract This paper presents the adaptation of a conventional injection moulding process to manufacture microfluidic components in thermoplastic polymers using alternative, exchangeable microstructured silicon-based mould inserts. The mould inserts consist of thick silicon wafers with microfeatures patterned in SU-8 epoxy photo-resist. This process allows changing the mould inserts according to the design, very easily and cost-effectively. The SU-8/Si mould inserts were robust enough to manufacture small series for laboratory purpose. More than a hundred replicas in thin polypropylene (PP) were produced successfully for a biochip designed for protein crystallisation and analysis.

scholarly journals Potential for combining semantics and data analysis in the context of digital twins

2021 ◽  
Vol 379 (2207) ◽  
pp. 20200368
Author(s):  
Birgit Vogel-Heuser ◽  
Felix Ocker ◽  
Iris Weiß ◽  
Robert Mieth ◽  
Frederik Mann
Keyword(s):  
Data Analysis ◽  
Production Systems ◽  
Expert Knowledge ◽  
Autonomous Systems ◽  
Feasibility Studies ◽  
Smart Manufacturing ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Digital Twins ◽  
Combining Data

Modern production systems can benefit greatly from integrated and up-to-date digital representations. Their applications range from consistency checks during the design phase to smart manufacturing to maintenance support. Such digital twins not only require data, information and knowledge as inputs but can also be considered integrated models themselves. This paper provides an overview of data, information and knowledge typically available throughout the lifecycle of production systems and the variety of applications driven by data analysis, expert knowledge and knowledge-based systems. On this basis, we describe the potential for combining data analysis and knowledge-based systems in the context of production systems and describe two feasibility studies that demonstrate how knowledge-based systems can be created using data analysis. This article is part of the theme issue ‘Towards symbiotic autonomous systems’.

AM-Serienproduktion für die Automobilindustrie/AM series production for the automotive industry

2020 ◽  
Vol 110 (11-12) ◽  
pp. 752-757
Author(s):  
Lukas Weiser ◽  
Marco Batschkowski ◽  
Niclas Eschner ◽  
Benjamin Häfner ◽  
Ingo Neubauer ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Automotive Industry ◽  
Series Production ◽  
Production Scale ◽  
Additive Fertigung ◽  
Small Series ◽  
Start Up ◽  
3D Printed ◽  
Component Quality

Die additive Fertigung schafft neue Gestaltungsfreiheiten. Im Rahmen des Prototypenbaus und der Kleinserienproduktion kann das Verfahren des selektiven Laserschmelzens genutzt werden. Die Verwendung in der Serienproduktion ist bisher aufgrund unzureichender Bauteilqualität, langen Anlaufzeiten sowie mangelnder Automatisierung nicht im wirtschaftlichen Rahmen möglich. Das Projekt „ReAddi“ möchte eine erste prototypische Serienfertigung entwickeln, mit der additiv gefertigte Bauteile für die Automobilindustrie wirtschaftlich produziert werden können. Additive manufacturing (AM) offers new freedom of design. The selective laser-powderbed fusion (L-PBF) process can be used for prototyping and small series production. So far, it has not been economical to use it on a production scale due to insufficient component quality, long start-up times and a lack of automation. The project ReAddi aims to develop a first prototype series production to cost-effectively manufacture 3D-printed components for the automotive industry.

Evaluation of Cadmould Software to Simulate the Filling Phase of a Natural Rubber Compound in Injection Moulding Process

2013 ◽  
Vol 747 ◽  
pp. 571-574 ◽  
Author(s):  
Zulkifli Mohamad Ariff ◽  
T.H. Khang
Keyword(s):  
Natural Rubber ◽  
Injection Moulding ◽  
Input Data ◽  
Cure Kinetics ◽  
Rubber Compound ◽  
Moulding Process ◽  
Related Data ◽  
Mould Filling ◽  
Injection Moulding Process ◽  
Material Input

The possibility of using Cadmould software to simulate the filling behaviour of a natural rubber compound during an injection moulding process was investigated. For the simulation process, the determination of required material input data involving the rheological and cure kinetics data of the designed rubber compound were conducted. It was discovered that the acquired data were able to function as reliable material input data as they were comparable with related data available in the Cadmould software materials database. Verification of the simulated filling profiles by experimental short shots specimens showed that the Cadmould Rubber Package was able to predict the realistic filling behaviour of the formulated natural rubber compound inside the mould cavity when the measured material data were utilized. Whereas, the usage of available material database from the software failed to model the mould filling progression of the intended natural rubber compound.

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