Modeling, Simulation and Data Processing for Additive Manufacturing

Salmi, Mika

doi:10.3390/ma14247755

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The Industry 4.0 paradigm introduced robotization, automation, and computerization, among other things, so that the modeling and simulation of production processes in real time or close to real time would allow the most efficient and cost-effective methods of testing, selecting, and using (preferably waste-free, with recycling) technologically advanced materials as part of the modern production processes [ 9 ]. A production plant that uses, for example, advanced reverse engineering processes (3D scanning—adaptation—3D printing) should therefore provide massively personalized products with a controlled high quality [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Rojek

Dostatni

Kopowski

et al. 2022

Sensors

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Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. The aim of this publication is to present the novel concept of support by artificial intelligence (AI) for quality control of AM of medical devices made of polymeric materials, based on the example of our own elbow exoskeleton. The methodology of the above-mentioned inspection process differs depending on the intended application of 3D printing as well as 3D scanning or reverse engineering. The use of artificial intelligence increases the versatility of this process, allowing it to be adapted to specific needs. This brings not only innovative scientific and technological solutions, but also a significant economic and social impact through faster operation, greater efficiency, and cost savings. The article also indicates the limitations and directions for the further development of the proposed solution.

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Section: Introductionmentioning

confidence: 99%

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Rojek

Dostatni

Kopowski

et al. 2022

Sensors

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Rapidly Cured Multifunctional Epoxy Resins with Switchable Curing Temperature and Exceptional Electrical Properties

Al-Qatatsheh

Vongsvivut

Juodkazis

et al. 2023

Adv Materials Technologies

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The use of the coordinated silver (I) complex based on solvate ionic liquid in epoxy resins is reported to enable unprecedented electrical and thermomechanical properties. The novel hybrid material is aligned at the molecular level using an electric field, demonstrating high electrical conductivity, excellent energy storage properties, and rapid curing behavior. The electric-field treated epoxy resin system shows a maximum electric conductivity of 2.05 × 10 5 S m −1 , 20 folds of the same untreated system, and 3 folds of the same treated system but with 5.0% silver nanoparticles. Furthermore, this system shows an ultrafast curing rate of around 500 s at a temperature of 42.0 °C and reveals excellent energy storage achieving an average capacitance of 27.5 F g −1 at a scan rate of 1.0 mV s −1 . Quantum mechanics is applied and the synchrotron beamline is utilized to optimize and investigate the properties of the system, opening the door to the next generation of thermoset polymers with multifunctional properties.

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Modeling, Simulation and Data Processing for Additive Manufacturing

Abstract: Additive manufacturing or, more commonly, 3D printing is one of the fundamental elements of Industry 4.0. and the fourth industrial revolution [...]

Cited by 2 publications

References 14 publications

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm

Rapidly Cured Multifunctional Epoxy Resins with Switchable Curing Temperature and Exceptional Electrical Properties

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