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Description
22219 ejw33c3 timkenProduktdaten Abmessungen Parameter Wert Einheiten Auendurchmesser (D) 170. 000 mm Breite (B) 43. 000 mm Dynamische Radialbelastbarkeit 1 Mio. Umdrehungen (C1) Die dynamische radiale Tragzahl von Timken fr eine L10 Lebensdauer von 1 Million Umdrehungen 385,000 N e Faktor Grenzwert fr Fa Fr fr die Anwendbarkeit verschiedener Werte der Faktoren X und Y bei der Berechnung der dynamisch quivalenten Radiallast 0. 23 Andere Abmessungen Parameter Wert
Produktdaten
Abmessungen
| Parameter | Wert | Einheiten |
| Außendurchmesser (D) | 170.000 | mm |
| Breite (B) | 43.000 | mm |
| Dynamische Radialbelastbarkeit - 1 Mio. Umdrehungen (C1) Die dynamische radiale Tragzahl von Timken für eine L10-Lebensdauer von 1 Million Umdrehungen | 385,000 | N |
| e-Faktor Grenzwert für Fa/Fr für die Anwendbarkeit verschiedener Werte der Faktoren X und Y bei der Berechnung der dynamisch äquivalenten Radiallast | 0.23 | - |
Andere Abmessungen
| Parameter | Wert | Einheiten |
| Gewicht | 4.04 | kg |
| Durchmesser der Wellenbackenschulter | 113.8 | mm |
Ratings
| Parameter | Wert | Einheiten |
| Dynamische Radialbelastbarkeit - 1 Mio. Umdrehungen (C1) Die dynamische radiale Tragzahl von Timken für eine L10-Lebensdauer von 1 Million Umdrehungen | 385,000 | N |
| Statische Radialbelastbarkeit (C0) | 441,000 | N |
| Thermische Bezugsdrehzahl - Öl Die Drehzahl, bei der unter definierten Bezugsbedingungen die Bezugs-Betriebstemperatur des Lagers bei Ölschmierung erreicht wird | 3,900 | rpm |
| Thermische Bezugsdrehzahl - Schmierfett die Drehzahl, bei der unter definierten Bezugsbedingungen die Lagerbezugstemperatur bei Fettschmierung erreicht wird | 3,200 | rpm |
| Grenzdrehzahl Die mechanische Drehzahlgrenze des Lagers, die nicht überschritten werden sollte, es sei denn, die Lagerkonstruktion und die Anwendung sind für höhere Drehzahlen ausgelegt | 5,100 | rpm |
Faktoren
Faktoren| Parameter | Wert | Einheiten |
| Y0-Faktor | 2.82 | - |
| Y1-Faktor Dynamischer Axiallastfaktor für die Berechnung der dynamisch äquivalenten Radiallast | 2.88 | - |
| Y2-Faktor Dynamischer Axiallastfaktor für die Berechnung der dynamisch äquivalenten Radiallast | 4.29 | - |
| Geometriefaktor (Cg) Geometriefaktor zur Berechnung des Katalogfaktors a3l | 0.067 | - |
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4.1 ★★★★★
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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