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Description
32024-X-XL FAGTechnische Basisdaten Hersteller: FAG Synonym: 0833288660000 32024 X Auendurchmesser: 180 mm Gewicht: 3340 Gramm Grenzdrehzahl: 4. 450 1 min Zolltarifnummer: 8482 2000 Erweiterte technische Daten ueres Breitenmae: mm 180,00 Begrenzungsdrehzahl (n G) "4450. 0000" ueres Breitenmae: mm 38,00 ECLASS number 23 05 09 10 ECLASS2 number 23 05 09 10 Einzelgewicht in (kg): 3. 34 Innenmae: mm 120,00 Radial Dynamic Load Rating Cr (N) 295000 Radial Static Load
Technische Basisdaten
| Hersteller: FAG |
| Synonym: 0833288660000 32024-X |
| Außendurchmesser: 180 mm |
| Gewicht: 3340 Gramm |
| Grenzdrehzahl: 4.450 1/min |
| Zolltarifnummer: 8482 2000 |
Erweiterte technische Daten
| Äußeres Breitenmaße: mm 180,00 |
| Begrenzungsdrehzahl (n G) "4450.0000" |
| Äußeres Breitenmaße: mm 38,00 |
| ECLASS number 23-05-09-10 |
| ECLASS2 number 23-05-09-10 |
| Einzelgewicht in (kg): 3.34 |
| Innenmaße: mm 120,00 |
| Radial Dynamic Load Rating Cr (N) 295000 |
| Radial Static Load Rating C0r (N) 420000 |
| Thermische Drehzahlgrenze (n ϑr) "2460.0000" |
| XL Extra Life |
| Betriebstemperatur max.: 120 °C |
| Betriebstemperatur min.: -30 °C |
| Dynamische Tragzahl, radial: 295.000 N |
| Dynamischer Axiallastfaktor: 1,31 |
| Ermüdungsgrenzbelastung, radial: 63.000 N |
| Grenzwert für Fa/Fr für die Anwendbarkeit der versch. Werte der Faktoren X und Y: 0,46 |
| Maximaler Durchmesser der Wellenschulter: 131 mm |
| Maximaler Hohlkehlradius an der Welle: 2,5 mm |
| Minimaler axialer Freiraum: 7 mm |
| Minimaler axialer Freiraum: 9 mm |
| Statische Tragzahl, radial: 420.000 N |
| Statischer Axiallastfaktor: 0,72 |
| Thermische Bezugsdrehzahl: 2.460 1/min |
| Vergleichsbezeichnung nach ISO 10317 und ISO 355: T4DC120 |
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4.9 ★★★★★
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Product Reviews
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025
★★★★★ 5
Great helpful book.
Format: Kindle
This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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Reviewed in the United States on February 21, 2025
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025