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POLYPROPYLENE 35 % GLASS FIBER ON ZORTRAX M200 - Printed as zpc/abs - 0.14 mm layer eight Filament info: - polypropylene 35 % Glass Fiber - Flexural Modulus ASTM D 790 MPa 8600 - HDT Method A (1,80 MPa) ASTM D 648 150 °C
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Keytech 3D Printing filaments are made with high special polymers, mostly never use in 3D Printing till today. These filament are made with high thermal and mechanical characteristics. Particular attention are PolyKey PLA HS and PolyKey PLA HS NX who have a similar thermal and mechanical characteristics of ABS and PA but are possible and easy to print like PLA. Others new polymers are PP (Polypropylene) Special Compound with high thermal and mechanical characteristics better of ABS and PA, aren't biopolymers and in meantime have also very low moisture absorption and will be to print similar PLA. On the next page you can see a best values and points of Keytech 3D Printing Filament.
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PBT FILAMENT ON ZORTRAX M200
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POLYPROPYLENE 35 % GLASS FIBER ON ZORTRAX M200
POLYPROPYLENE 35 % GLASS FIBER ON ZORTRAX M200
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DSF 3D FILAMENT PRINTED ON ZORTRAX M200
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PLA RENEGADE POLYAMIDE SINTERING EFFECT
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Zortrax M200 Extruder with graphite insert
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PLA LAYER Filament IN MODEL MAKING SECTOR Bumper truck Scale 1:14 PRINTING PARAMETERS: FFF PRINTER 0,3 mm NOZZLE 0,1 MM LAYER PRINTING PLA LAYER FILAMENT MEDIUM SPEED 210°C PRINTING TEMPERATURES
fff bumper truck printed with pla layer filament
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PLA LAYER Filament IN MODEL MAKING SECTOR Dashboard truck Scale 1:14 PRINTING PARAMETERS: FFF PRINTER 0,3 mm NOZZLE 0,1 MM LAYER PRINTING PLA LAYER FILAMENT MEDIUM SPEED 210°C PRINTING TEMPERATURES
fff dashboard truck printed with pla layer filament
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fff bumper truck printed with pla layer filament
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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
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These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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A Year of the Servo Reboot: Where Are We Now?
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Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
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