SKU: 70433760699

Festool OF 1400 EBQ-Plus Bovenfrees in Systainer 574341

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Description

Festool OF 1400 EBQ-Plus Bovenfrees in Systainer 574341Festool OF 1400 EBQ Plus Bovenfrees in Systainer 574341 Voordelen en sterke punten Eenvoudige en 1 10 mm nauwkeurige instelling van de freesdiepte Buigstijve grondplaat door aan beide kanten geklemde geleidekolommen Comfort freeswissel met kanteltoets en ratelprincipe, sneller gaat het niet Kopieerring wisselen zonder gereedschap Tot 99 % afzuiging met spaanvanger en afzuigkap bij het frezen van kanten Snelrem en MMC elektronica Zwaartepunten voor de

Festool OF 1400 EBQ-Plus Bovenfrees in Systainer 574341

Voordelen en sterke punten

  • Eenvoudige en 1/10 mm nauwkeurige instelling van de freesdiepte
  • Buigstijve grondplaat door aan beide kanten geklemde geleidekolommen
  • Comfort-freeswissel met kanteltoets en ratelprincipe, sneller gaat het niet
  • Kopieerring wisselen zonder gereedschap
  • Tot 99 % afzuiging met spaanvanger en afzuigkap bij het frezen van kanten
  • Snelrem en MMC elektronica

Zwaartepunten voor de toepassingen

  • Randen afronden, afkanten, groeven en profielen frezen
  • Gleuven in deuren frezen met de freeshulp voor isolatie tegen geluid en koude
  • Cirkelvormen en uitsparingen frezen met het multifreessjabloon
  • Met het geleidesysteem groeven in de achterwand of lijsten aanbrengen
  • Frezen van minerale grondstoffen (max. frees-Ø 45 mm)

Leveringsomvang

  • Festool OF 1400
  • SYSTAINER SYS 4 T-LOC
  • Spantang Ø 8 mm
  • Spantang Ø 12 mm
  • Zijaanslag met fijninstelling
  • Kopieerring Ø 30 mm
  • Afzuigkap boven
  • Spaanvanger
  • Bedieningsgereedschap

Specificaties

  • Opgenomen vermogen: 1400 watt
  • Onbelast toerental: 10000-22500 per minuut
  • Max. freesdiameter: 63 millimeter
  • Gewicht: 4,5 kilogram
  • Spantangdiameter: 6-12,7 millimeter
  • Freesdiepte-snelinstelling: 70 millimeter
  • Freesdiepte-fijninstelling: 8 millimeter
  • Aansluiting stofafzuiging Ø: 27/36 millimeter
Shipping Notes
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  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 70433760699

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R
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R. Cote
Alexandria, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Cuba, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
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Thomas
Alexandria, US
★★★★★ 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
L
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La Monte HP Yarroll
Whiting, US
★★★★★ 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
R
Verified Purchase
3rd Act
New York, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024

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