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Description
nu315 ecm skfTechnische Basisdaten Hersteller: SKF Auendurchmesser: 160 mm Axiallastfaktor: Y: 0. 6 ueres Breitenma: 37 mm Ermdungsgrenzbelastung: 33. 5 kN Gewicht: 3792 Gramm Grenzdrehzahl: 5 300 r min Grenzwert: e: 0. 2 Herstellungsland: Deutschland Minimallastfaktor: kr0. 15 Referenzdrehzahl: 4 500 r min Zolltarifnummer: 8482 5000 Erweiterte technische Daten ueres Breitenmae:(D) mm 160,00 ueres Breitenmae:(B) mm 37,00 EC Optimized Internal Design Incorporating
Technische Basisdaten
| Hersteller: SKF |
| Außendurchmesser: 160 mm |
| Axiallastfaktor: Y: 0.6 |
| Äußeres Breitenmaß: 37 mm |
| Ermüdungsgrenzbelastung: 33.5 kN |
| Gewicht: 3792 Gramm |
| Grenzdrehzahl: 5 300 r/min |
| Grenzwert: e: 0.2 |
| Herstellungsland: Deutschland |
| Minimallastfaktor: kr0.15 |
| Referenzdrehzahl: 4 500 r/min |
| Zolltarifnummer: 8482 5000 |
Erweiterte technische Daten
| Äußeres Breitenmaße:(D) mm 160,00 |
| Äußeres Breitenmaße:(B) mm 37,00 |
| EC Optimized Internal Design Incorporating More And/Or Larger Rollers And With Modified Roller/End Flange Contact |
| Einzelgewicht in (kg): 3.66 |
| Innenmaße:(d) mm 75,00 |
| Interne Radialluft Cn Normale Innenluft |
| M Two-Piece Machined Brass Cage, Roller Centered |
| Wärmestabilisierung: Keine Wärmestabilisierung: - Temperaturen bis 120°C |
| 160 mm Außendurchmesser |
| 37 mm Äußeres Breitenmaß |
| Anzahl der Reihen 1 |
| Außendurchmesser 160 mm |
| Axiale Verschiebbarkeit In both directions |
| Beschichtung Ohne |
| Äußeres Breitenmaß 37 mm |
| Dynamische Tragzahl 280 kN |
| Dynamische Tragzahl: 280 kN |
| Einzelgewicht 3.79 kg |
| Grenzdrehzahl 5 300 r/min |
| Loser Bord Kein(e/r) |
| Nachschmierfunktion Ohne |
| Referenzdrehzahl 4 500 r/min |
| Statische Tragzahl 265 kN |
| Statische Tragzahl: 265 kN |
| UNSPSC-Code 31171505 |
| max.1.8 mm Zulässige axiale Verschiebbarkeit |
| max.2 mm Radius der Rundung |
| max.92 mm Durchmesser der Distanzhülse |
| min.2.1 mm Kantenabstand |
| min.87 mm Durchmesser der Distanzhülse |
| min.97 mm Durchmesser der WelleKeine/ Nicht vorhandenlauffläche |
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4.9 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”.
I use this as a reference when teaching AI concepts and preparing presentations.
I highly recommend it
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024