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Description
99218 skfTechnische Basisdaten Abdichtung: ssitzueres Breitenma 19. 84 mm Auendurchmesser: 63,500 mm ueres Breitenma: 19,837 mm Gewicht: 78 Gramm Herstellungsland: Vereinigte Staaten von Amerika Zolltarifnummer: 8484 1000 Erweiterte technische Daten 0. 8 mm Toleranz ueres Breitenma b1 0. 8 mm Toleranz ueres Breitenma b 1. 6 mm Toleranz Auendurchmesser D 19. 837 mm Nennueres Breitenma glatte Hlse (bis Bordnut) 63. 5 mm Nen Nma des Auendurchmessers
Technische Basisdaten
| Abdichtung: ssitzÄußeres Breitenmaß 19.84 mm |
| Außendurchmesser: 63,500 mm |
| Äußeres Breitenmaß: 19,837 mm |
| Gewicht: 78 Gramm |
| Herstellungsland: Vereinigte Staaten von Amerika |
| Zolltarifnummer: 8484 1000 |
Erweiterte technische Daten
| 0.8 mm Toleranz Äußeres Breitenmaß b1 |
| 0.8 mm Toleranz Äußeres Breitenmaß b |
| 1.6 mm Toleranz Außendurchmesser D |
| 19.837 mm NennÄußeres Breitenmaß glatte Hülse (bis Bordnut) |
| 63.5 mm Nen Nmaß des Außendurchmessers |
| Außendurchmesser abtrennbarer Flansch 63.5 mm |
| Äußeres Breitenmaß 23.83 mm |
| Einzelgewicht 0.0798 kg |
| UNSPSC-Code 31171605 |
| Durchmesser der Welle 55.58 mm |
| Durchmesser der Welle, maximal 55.68 mm |
| Durchmesser der Welle, minimal 55.52 mm |
| eClass-Code 23-05-92-90 |
| max.55.677 mm Durchmesser der Wellebereich |
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4.2 ★★★★★
Based on 23 reviews
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Product Reviews
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
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Reviewed in the United States on January 21, 2026
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
★★★★★ 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