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2311 tvh fagTechnische Basisdaten Hersteller: FAG Synonym: 0167074510000 2311TNG 2311 TVH>N Bezugsdrehzahl: 7. 100 1 min ueres Breitenma: 43 mm Gewicht: 2130 Gramm Grenzdrehzahl: 5. 700 1 min Herstellungsland: Deutschland Zolltarifnummer: 8482 1090 Erweiterte technische Daten ueres Breitenmae: mm 120,00 Begrenzungsdrehzahl (n G) "5700. 0000" ueres Breitenmae: mm 43,00 ueres Breitenmae: mm 43,00 ECLASS number 23 05 08 06 ECLASS2 number 23 05 08 06 Einzelgewicht in
Technische Basisdaten
| Hersteller: FAG |
| Synonym: 0167074510000 2311TNG 2311-TVH>N |
| Bezugsdrehzahl: 7.100 1/min |
| Äußeres Breitenmaß: 43 mm |
| Gewicht: 2130 Gramm |
| Grenzdrehzahl: 5.700 1/min |
| Herstellungsland: Deutschland |
| Zolltarifnummer: 8482 1090 |
Erweiterte technische Daten
| Äußeres Breitenmaße: mm 120,00 |
| Begrenzungsdrehzahl (n G) "5700.0000" |
| Äußeres Breitenmaße: mm 43,00 |
| Äußeres Breitenmaße: mm 43,00 |
| ECLASS number 23-05-08-06 |
| ECLASS2 number 23-05-08-06 |
| Einzelgewicht in (kg): 2.125 |
| Innenmaße: mm 55,00 |
| Interne Radialluft Cn Normale Innenluft |
| Radial Dynamic Load Rating Cr (N) 77000 |
| Radial Static Load Rating C0r (N) 24000 |
| Referenzdrehzahl (n ϑr) "7100.0000" |
| TVH Solid Cage Made From Glass Fibre Reinforced Polyamide 66 |
| B 43 mm Äußeres Breitenmaße: |
| Betriebstemperatur max.: 120 °C |
| Betriebstemperatur min.: -30 °C |
| C 0r 24.000 N Statische Tragzahl, radial |
| C r 77.000 N Dynamische Tragzahl, radial |
| C ur 1.520 N Ermüdungsgrenzbelastung, radial |
| Dynamische Tragzahl, radial: 77.000 N |
| Dynamischer Axiallastfaktor: 1,5 |
| Dynamischer Axiallastfaktor: 2,33 |
| Ermüdungsgrenzbelastung, radial: 1.520 N |
| Grenzwert für Fa/Fr für die Anwendbarkeit der versch. Werte der Faktoren X und Y: 0,42 |
| Maximaler Hohlkehlradius: 2 mm |
| Minimaler Durchmesser der Wellenschulter: 66 mm |
| Minimaler Kantenabstand: 2 mm |
| Statische Tragzahl, radial: 24.000 N |
| Statischer Axiallastfaktor: 1,58 |
| T max 120 °C Betriebstemperatur max. |
| T min -30 °C Betriebstemperatur min. |
| Y 0 1,58 Statischer Axiallastfaktor |
| Y 1 1,5 Dynamischer Axiallastfaktor |
| Y 2 2,33 Dynamischer Axiallastfaktor |
| d =a min 66 mm Minimaler Durchmesser der Wellenschulter |
| e 0,42 Grenzwert für Fa/Fr für die Anwendbarkeit der versch. Werte der Faktoren X und Y |
| n G 5.700 1/min Grenzdrehzahl |
| n ϑr 7.100 1/min Bezugsdrehzahl |
| r a max 2 mm Maximaler Hohlkehlradius |
| r min 2 mm Minimaler Kantenabstand |
| ≈m 2,125 kg Einzelgewicht |
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4.9 ★★★★★
Based on 19 reviews
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Product Reviews
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025