SKU: 47382018600

Milwaukee Akku-Schlagbohrschrauber M12FPD2-202X 4933479868

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Description

Milwaukee Akku-Schlagbohrschrauber M12FPD2-202X 4933479868Extrem kompakte Bauweise mit 152 mm Lnge fr einfachen Zugang in engen Rumen. 45 Nm Drehmoment ausgezeichnetes Verhltnis zwischen Leistung und Gre. Hochwertiges 13 mm Metallspannfutter fr schnellen Bitwechsel und Bitsicherung. Mechanische Rutschkupplung mit 13 Drehmomenteinstellungen, plus Bohrstufe und eine Schlagbohrstufe. Akkuladestandsanzeige, Grtelclip aus Metall und LED Licht. Die DNA unserer Fuel Plattform definiert das Gleichgewicht von

Extrem kompakte Bauweise mit 152 mm Länge für einfachen Zugang in engen Räumen. 45 Nm Drehmoment - ausgezeichnetes Verhältnis zwischen Leistung und Größe. Hochwertiges 13-mm-Metallspannfutter für schnellen Bitwechsel und Bitsicherung. Mechanische Rutschkupplung mit 13 Drehmomenteinstellungen, plus Bohrstufe und eine Schlagbohrstufe. Akkuladestandsanzeige, Gürtelclip aus Metall und LED-Licht. Die DNA unserer Fuel™-Plattform definiert das Gleichgewicht von kabellosen Technologien. MILWAUKEE®'s bürstenloser PowerState™ Motor, Redlithium™-Technologie sowie die Redlink Plus™-Elektronik bieten hervorragende Leistung, Laufzeit und Haltbarkeit. Kompatibel mit allen MILWAUKEE® M12™ Akkus


Akku Li-ion
Akkukapazität 2
Bohrfutter-Spannbereich 13
Geliefert in HD Box
Geschwindigkeitseinstellungen 2
Holzschrauben 8
Leerlaufdrehzahl im 1. Gang 0 - 450
Leerlaufdrehzahl im 2. Gang 0 - 1,550
Max. Bohrdurchmesser in Holz 35
Max. Bohrdurchmesser in Mauerwerk 13
Max. Bohrdurchmesser in Stahl 13
Max. Drehmoment 37
Max. Schlagzahl 0 - 22,500
Spannung 12
Gewicht mit Akku (EPTA) 1,1 (M12 B2)



Lieferumfang

2 x M12 B2 Akku-Packs
C12 C Ladegerät
HD Box



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SKU: 47382018600

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4.2 ★★★★★
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T
Tans
Pawtucket, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 29, 2025
R
Verified Purchase
RAKESH MITTAL
Belleville, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 19, 2025
T
Verified Purchase
Ting
Lowell, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
S
Verified Purchase
Sai
Waukegan, US
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
K
Kirk D. Borne
San Leandro, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 24, 2025

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