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Description
SL024926 INATechnische Basisdaten Hersteller: INA Synonym: 0001237570000 NNCL4926V Auendurchmesser: 180 mm Bezugsdrehzahl: 1. 500 1 min Gewicht: 3749 Gramm Grenzdrehzahl: 2. 090 1 min Herstellungsland: Deutschland Zolltarifnummer: 8482 5000 Erweiterte technische Daten ueres Breitenmae: mm 180,00 Begrenzungsdrehzahl (n G) "2090. 0000" ueres Breitenmae:(B) mm 50,00 ueres Breitenmae:(b) mm 50,00 ECLASS number 23 05 09 01 ECLASS2 number 23 05 09 01 Einzelgewicht in
Technische Basisdaten
| Hersteller: INA |
| Synonym: 0001237570000 NNCL4926V |
| Außendurchmesser: 180 mm |
| Bezugsdrehzahl: 1.500 1/min |
| Gewicht: 3749 Gramm |
| Grenzdrehzahl: 2.090 1/min |
| Herstellungsland: Deutschland |
| Zolltarifnummer: 8482 5000 |
Erweiterte technische Daten
| Äußeres Breitenmaße: mm 180,00 |
| Begrenzungsdrehzahl (n G) "2090.0000" |
| Äußeres Breitenmaße:(B) mm 50,00 |
| Äußeres Breitenmaße:(b) mm 50,00 |
| ECLASS number 23-05-09-01 |
| ECLASS2 number 23-05-09-01 |
| Einzelgewicht in (kg): 3.9 |
| Innenmaße: mm 130,00 |
| Interne Radialluft Cn Normale Innenluft |
| Radial Dynamic Load Rating Cr (N) 260000 |
| Radial Static Load Rating C0r (N) 510000 |
| Referenzdrehzahl (n ϑr) "1500.0000" |
| Betriebstemperatur max.: 120 °C |
| Betriebstemperatur min.: -30 °C |
| C 0r 510.000 N Statische Tragzahl, radial |
| C r 260.000 N Dynamische Tragzahl, radial |
| C ur 64.000 N Ermüdungsgrenzbelastung, radial |
| D 180 mm Außendurchmesser |
| Dynamische Tragzahl, radial: 260.000 N |
| Ermüdungsgrenzbelastung, radial: 64.000 N |
| Kurzzeichen DIN5412: NNCL4926V |
| Maximaler Freistichradius: 1,5 mm |
| Minimaler Anlagedurchmesser Wellenschulter: 149,5 mm |
| Minimaler Kantenabstand: 1,5 mm |
| Minimaler Wellenabsatz: 149,5 mm |
| NNCL4926V Kurzzeichen DIN5412 |
| Statische Tragzahl, radial: 510.000 N |
| T max 120 °C Betriebstemperatur max. |
| T min -30 °C Betriebstemperatur min. |
| axialer Verschiebeweg: 4 mm |
| d =a min 149,5 mm Minimaler Anlagedurchmesser Wellenschulter |
| d =c min 149,5 mm Minimaler Wellenabsatz |
| n G 2.090 1/min Grenzdrehzahl |
| n ϑr 1.500 1/min Bezugsdrehzahl |
| r a max 1,5 mm Maximaler Freistichradius |
| r min 1,5 mm Minimaler Kantenabstand |
| s 4 mm axialer Verschiebeweg |
| ≈m 3,749 kg Einzelgewicht |
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4.4 ★★★★★
Based on 30 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 17, 2025
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