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Description
22316 eja va405 skfTechnische Basisdaten Hersteller: SKF Synonym: 22316CAME4C4U15 VS 22316 E1 T41D 22316EAS. MA. T41A 22316EF800 22316EM W33 W800 C4 22316UAVS2 22316YM W33 W800 C4 Axiallastfaktor: Y0: 1. 8 Axiallastfaktor: Y1: 1. 9 Axiallastfaktor: Y2: 2. 9 ueres Breitenma: 58 mm ueres Breitenma: B: 58 mm Ermdungsgrenzbelastung: 54 kN Gewicht: 6600 Gramm Grenzdrehzahl: 4 000 r min Grenzwert: e: 0. 35 Herstellungsland: Vereinigtes Knigreich Innendurchmesser: 80 mm
Technische Basisdaten
| Hersteller: SKF |
| Synonym: 22316CAME4C4U15-VS 22316-E1-T41D 22316EAS.MA.T41A 22316EF800 22316EM W33 W800 C4 22316UAVS2 22316YM W33 W800 C4 |
| Axiallastfaktor: Y0: 1.8 |
| Axiallastfaktor: Y1: 1.9 |
| Axiallastfaktor: Y2: 2.9 |
| Äußeres Breitenmaß: 58 mm |
| Äußeres Breitenmaß: B: 58 mm |
| Ermüdungsgrenzbelastung: 54 kN |
| Gewicht: 6600 Gramm |
| Grenzdrehzahl: 4 000 r/min |
| Grenzwert: e: 0.35 |
| Herstellungsland: Vereinigtes Königreich |
| Innendurchmesser: 80 mm |
| Kantenabstand: r12: min.2.1 mm |
| Referenzdrehzahl: 3 000 r/min |
| Zolltarifnummer: 8482 3000 |
Erweiterte technische Daten
| Äußeres Breitenmaße:(D) mm 170,00 |
| Äußeres Breitenmaße:(B) mm 58,00 |
| Einzelgewicht in (kg): 5.96 |
| Innenmaße:(d) mm 80,00 |
| Interne Radialluft C4 Innenluft (größer als C3) |
| JA Pressed Cage Of Unhardened Sheet Steel, Centered On The Outer Ring |
| Lubrikationsoptimierung W33 – Schmiernut und 3 Löcher |
| VA405 Bearings For Vibratory Applications With Surface Hardened Cages |
| Wärmestabilisierung: Keine Wärmestabilisierung: - Temperaturen bis 120°C |
| 4.5 mm Durchmesser der Schmierkanal |
| 58 mm Äußeres Breitenmaß |
| 8.3 mm Äußeres Breitenmaß der Umfangsnut |
| Anzahl der Reihen 2 |
| Äußeres Breitenmaß 58 mm |
| Äußeres Breitenmaß der Umfangsnut: b: 8.3 mm |
| Durchmesser der Schmierkanal: K: 4.5 mm |
| Dynamische Tragzahl 516 kN |
| Dynamische Tragzahl: 516 kN |
| Einzelgewicht 6.41 kg |
| Grenzdrehzahl 4 000 r/min |
| Nachschmierfunktion Für |
| Referenzdrehzahl 3 000 r/min |
| Statische Tragzahl 540 kN |
| Statische Tragzahl: 530 kN |
| Tolerance class for dimensions Normal, bore to P5 and outside diameter P6 |
| Tolerance class for run-out Normal |
| UNSPSC-Code 31171510 |
| Zulässige Drehbeschleunigung bei Ölschmierung: 785 m/s² |
| Zulässige Linearbeschleunigung bei Ölschmierung: 216 m/s² |
| eClass-Code 23-05-09-11 |
| max.2 mm Radius der Rundung |
| min.2.1 mm Kantenabstand |
| min.92 mm Durchmesser der WelleKeine/ Nicht vorhandenlauffläche |
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4.4 ★★★★★
Based on 2423 reviews
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Product Reviews
★★★★★ 5
Very good!
Format: Paperback
Book worth gold I love it! I will read it again! I recommend you buy it! Open your mind and make finances 🧠✨️
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Reviewed in the United States on April 1, 2026
★★★★★ 4
8.5 de 10
Format: Kindle
Lenguaje solo para profesionales y no para principiantes. Lo demás es perfecto con 4 estrellas ya que hasta lloré 3 veces ...
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Reviewed in the United States on April 22, 2026
★★★★★ 5
Interesting
Format: Paperback
Product with very good quality, its description matches the website.
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Reviewed in the United States on April 11, 2026
★★★★★ 5
A wonderful primer for those discovering the amazing world of generative AI
Format: Paperback, Format: Paperback
Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering.
If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity.
I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did.
Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.
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Reviewed in the United States on August 3, 2024
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms.
It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools.
As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place.
As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
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Reviewed in the United States on December 13, 2025