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How injection molding experts collaborate with AI / Jonathan Lambers in PLASTICS INSIGHTS, Vol. 113, N° 9 (2023)
[article]
Titre : How injection molding experts collaborate with AI : Combining expert knowledge and process data for monitoring and controlling the IM process Type de document : texte imprimé Auteurs : Jonathan Lambers, Auteur ; Jakob Schüder, Auteur ; Giovanni Schober, Auteur Année de publication : 2023 Article en page(s) : p. 55-57 Langues : Anglais (eng) Catégories : Assurance qualité
Industrie 4.0Le concept d’Industrie 4.0 correspond à une nouvelle façon d’organiser les moyens de production : l’objectif est la mise en place d’usines dites "intelligentes" ("smart factories") capables d’une plus grande adaptabilité dans la production et d’une allocation plus efficace des ressources, ouvrant ainsi la voie à une nouvelle révolution industrielle. Ses bases technologiques sont l'Internet des objets et les systèmes cyber-physiques.
Logiciels
Matières plastiques -- Moulage par injection
Numérisation
Réseau bayésienIndex. décimale : 668.4 Plastiques, vinyles Résumé : The German Plastics Center SKZ and Fraunhofer IPA are collaboratively developing a process monitoring and control system for the injection molding (IM) process based on Bayesian Networks. In their research project “ProBayes”, the researchers build a fully networked injection molding cell in the SKZ lab demonstrating a system in live operation that detects deviations in product quality, identifies the most likely cause and issues specific recommendations for action to the machine operator. Note de contenu : - Connecting machine, periphery, and quality measurement systems
- Generation of training data and extension by simulations
- Validating the bayesian network in production
- Fig. 1 : Software architecture of the injection molding cell. MQTT is a communication protocol for machine-to-machine communication
- Fig. 2 : Link to dataset published on EUDAT platform
- Fig. 3 : Structure of the Bayesian Network for the part weight quality characteristic
- Fig. 4 : "Human-in-the-Loop" : Schematic of the demonstrator’s architecture. The data from the injection molding machine and peripheral devices are aggregated by the middleware (Connectware) and transferred to the Bayesian Network for inferenceEn ligne : https://drive.google.com/file/d/1V4o-uKCt6c3Z4De0raWmuQU-zTmmG48K/view?usp=drive [...] Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=40753
in PLASTICS INSIGHTS > Vol. 113, N° 9 (2023) . - p. 55-57[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 24326 - Périodique Bibliothèque principale Documentaires Disponible ICME and materials data management for more agile design and engineering of advanced materials in JEC COMPOSITES MAGAZINE, N° 134 (05-06/2020)
[article]
Titre : ICME and materials data management for more agile design and engineering of advanced materials Type de document : texte imprimé Année de publication : 2020 Article en page(s) : p. 35-36 Langues : Anglais (eng) Catégories : Composés de moulage en feuille
Composites
Conception assistée par ordinateur
Conception technique
Gestion de données
Logiciels
Simulation par ordinateur
Simulation prédictiveIndex. décimale : 668.4 Plastiques, vinyles Résumé : Reducing development times and costs of composites materials is high on the agenda for all manufacturers to remain competitive and penetrate the market. A powerful approach to achieve tis in Integrated Computational Materials Engineering (ICME) - or in simple words - an integrative design approach where materials, processing and final products are connected thourgh various scales. When organizations apply this method to composite materials, they quickly realize the amount of materials data that needs to be captured and validated, whether generated from virtual or physical testing. Note de contenu : - Advanced materials modelling and virtual allowables
- A platform to capture all physical and virtual composites information
- Fig. 1 : Composite ICME integrated materials data management at every scale considered
- Fig. 2 : Full-field homogenization with Digimat to predict composite failure envelopes
- Fig. 3 : Validation of UD strength predictions with Digimat 2019.1
- Fig. 4 : Example of managing both physical and virtual dataPermalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35375
in JEC COMPOSITES MAGAZINE > N° 134 (05-06/2020) . - p. 35-36[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 21794 - Périodique Bibliothèque principale Documentaires Disponible Identifying and resolving faults quickly in INTERNATIONAL SURFACE TECHNOLOGY (IST), Vol. 8, N° 3 (2015)
[article]
Titre : Identifying and resolving faults quickly Type de document : texte imprimé Année de publication : 2015 Article en page(s) : p. 12 Langues : Anglais (eng) Catégories : Ateliers de peinture industrielle
Automobiles -- Revêtements:Automobiles -- Peinture
Détection de défauts (Ingénierie)
Diagnostic qualité
Logiciels
Qualité -- Contrôle
Revêtements:PeintureIndex. décimale : 668.4 Plastiques, vinyles Résumé : Software for visualising painting booths - Painting lines should be easy to operate and any faults that occur need to be detected and rectified rapidly. In order to ensure that these requirements are met, a software package that can be used to visualise painting booths has been updated. It enables faults to be displayed accurately and clearly and provides relevant information about troubleshooting. Note de contenu : - Graphical diagnostics for the conyevor system Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=24996
in INTERNATIONAL SURFACE TECHNOLOGY (IST) > Vol. 8, N° 3 (2015) . - p. 12[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 17589 - Périodique Bibliothèque principale Documentaires Disponible Improving composite manufacturing reliability and yield with affordable models and simulations / Elena Syerko in JEC COMPOSITES MAGAZINE, N° 120 (04/2018)
[article]
Titre : Improving composite manufacturing reliability and yield with affordable models and simulations Type de document : texte imprimé Auteurs : Elena Syerko, Auteur ; Christophe Binetruy, Auteur ; Pavel Simacecek, Auteur ; Suresesh Advani, Auteur Année de publication : 2018 Article en page(s) : p. 58-62 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Automatisation
Capteurs (technologie)
Composites thermoplastiques -- Moulage par injection
Fiabilité
Logiciels
Moulage de composites liquides
Moulage par transfert de résine sous vide
Perméabilité
Simulation par ordinateur
Textiles et tissus à usages techniquesIndex. décimale : 668.4 Plastiques, vinyles Résumé : Composite manufacturing still often relies on trial-and-error approaches to design the process, making little use of the plethora of science-based literature, models and simulations. This paper presents an approach for the development of easy-to-use tools with no learning curve, with lower licensing costs and can provide useful information to manufacturing engineers or technicians, helping them improve their yield and reliability with fewer trials. Examples of such tools are presented for liquid composite moulding processes, but can be extended to other processes. Note de contenu : - Approach
- Image-based fibre perform permeability prediction tool
- Web-based tools and software "calculators"
- Automated tools
- Workforce training
- Consulting
- Fig. 1 : Liquid Injection Moulding Simulation (LIMS software) can predict vent locations for successful mould filling in a complex mould, which may trigger race tracking along edges and corners resulting in 1024 possible flow patterns
- Fig. 2 : Image-basee fabric permeability prediction tools (Ge-Mage-Flow3D software). After one has the values of the permeability of fabrics, that can be used as input for mould filling simulations
- Fig. 3: Sequential VARTM infusion
- Fig. 4 : Automated process analysis system. Depending on the levet of uncertainty, the user provides the available part data and receives encapsulated output. Software controllers convert the data, execute the simulation and extract the crucial information from the results. The operations of the software controller (s) and simulation software are transparent to the user. Note that: 11 the full simulation data can still be stored and reviewed, and (**) as the current implementation [4, 9, 10] is to serve the part designer, a simple cost analysis is possible
- Fig. 5 : Conceptual schematic from CAD to automated manufacturing using sensors and simulationsPermalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=30478
in JEC COMPOSITES MAGAZINE > N° 120 (04/2018) . - p. 58-62[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 19778 - Périodique Bibliothèque principale Documentaires Disponible 19779 - Périodique Bibliothèque principale Documentaires Disponible Increased automation and higher quality / Michael Topp in INTERNATIONAL SURFACE TECHNOLOGY (IST), N° 2/2010 (2010)
[article]
Titre : Increased automation and higher quality : Intelligent parts recognition systems Type de document : texte imprimé Auteurs : Michael Topp, Auteur Année de publication : 2010 Article en page(s) : p. 22-25 Langues : Anglais (eng) Catégories : Automatisation
Capteurs (technologie)
Capteurs optiques
Logiciels
Revêtements -- Appareils et matériels:Peinture -- Appareils et matériels
Revêtements poudre:Peinture poudreIndex. décimale : 667.9 Revêtements et enduits Résumé : With a customised parts recognition system it is possible not only to increase levels of automation, but also to improve the quality of the coating and reduced powder wastage. This article describes the benefits and the limitations of existing recognition systems and presents an innovative system based on sensors and software. Note de contenu : - Other optical recognition systems
- Optical sensors combined with movement systemsPermalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=22748
in INTERNATIONAL SURFACE TECHNOLOGY (IST) > N° 2/2010 (2010) . - p. 22-25[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 012648 - Périodique Bibliothèque principale Documentaires Disponible 012689 - Périodique Bibliothèque principale Documentaires Disponible Industry 4.0 offers increased treaceability and reduced waste / Jon Bridges in JEC COMPOSITES MAGAZINE, N° 148 (11-12/2022)
PermalinkIntelligent assistance relieves the strain on production staff / Josef Giessauf in PLASTICS INSIGHTS, Vol. 113, N° 7 (2023)
PermalinkKeeping an eye on quality / G Saunders in POLYMERS PAINT COLOUR JOURNAL - PPCJ, Vol. 192, N° 4451 (04/2002)
PermalinkPermalinkLes logiciels orchestrent la gestion des entrepôts / Corinne Zerbib in INDUSTRIE & TECHNOLOGIES, N° 963 (03/2014)
PermalinkLow emission for the furniture industry / Christopher Funke in ADHESION - ADHESIVES + SEALANTS, Vol. 13, N° 3/2016 (2016)
PermalinkManufacturing tools using large-scale additive manufacturing systems / Jason Susnjara in JEC COMPOSITES MAGAZINE, N° 111 (03/2017)
PermalinkMeasurable and reproducible processes in the cleanroom / Martin Hammoor in KUNSTSTOFFE INTERNATIONAL, Vol. 111, N° 8 (2021)
PermalinkModélisation élaborée et savoir-faire de pointe / Klaus Vollrath in PLASTIQUES & CAOUTCHOUCS MAGAZINE, N° 928 (03/2016)
PermalinkModelling the properties of pigment-dyed polyester/cotton sheeting fabrics by response surface methodology / Tanveer Hussain in COLORATION TECHNOLOGY, Vol. 129, N° 4 (08/2013)
PermalinkMold filling simulation dependence on material data input for injection molding process of natural rubber compound / T. H. Khang in INTERNATIONAL POLYMER PROCESSING, Vol. XXIX, N° 3 (07/2014)
PermalinkPermalinkMolecular electronic spectroscopy : from often neglected fundamental principles to limitations of state-of-the-art computational methods / Heinz Mustroph in COLORATION TECHNOLOGY, Vol. 131, N° 1 (02/2015)
PermalinkNew advances in powder coating technology / Kevin M. Biller in COATINGS TECH, Vol. 18, N° 6 (06/2021)
PermalinkNew simulation app for hygrothermal knock-down analysis / Sijmon van der Wal in JEC COMPOSITES MAGAZINE, N° 112 (04-05/2017)
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