SKU: 18434024812

Metabo KHA 18 LTX BL 24 Quick Akku Kombihammer 18 V 2,2 J SDS-plus Brushless + 2x LiHD Akku 5,5 Ah + Ladegerät + MetaLoc

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Description

Metabo KHA 18 LTX BL 24 Quick Akku Kombihammer 18 V 2,2 J SDS-plus Brushless + 2x LiHD Akku 5,5 Ah + Ladegerät + MetaLocLieferumfang: 1x Metabo KHA 18 LTX BL 24 Quick Akku Kombihammer ( 600211840 ) 2x Metabo LiHD 5,5 Ah Akkupack ( 625368000 ) CAS System 1x Metabo ASC 145 Ladegert ( 627378000 ) 1x Metabo MetaLoc 1x gummierter Zusatzhandgriff 1x Bohrtiefenanschlag 1x Hammerfutter fr Werkzeuge mit SDS plus Einsteckende 1x Schnellspannbohrfutter fr Werkzeuge mit zylindrischem Schaft Produktbeschreibung: Der kabellose und kompakte Akku Kombihammer ist die optimale Lsung

Lieferumfang:

- 1x Metabo KHA 18 LTX BL 24 Quick Akku-Kombihammer ( 600211840 )
- 2x Metabo LiHD 5,5 Ah Akkupack ( 625368000 ) CAS System
- 1x Metabo ASC 145 Ladegerät ( 627378000 )
- 1x Metabo MetaLoc
- 1x gummierter Zusatzhandgriff
- 1x Bohrtiefenanschlag
- 1x Hammerfutter für Werkzeuge mit SDS-plus-Einsteckende
- 1x Schnellspannbohrfutter für Werkzeuge mit zylindrischem Schaft

Produktbeschreibung:

Der kabellose und kompakte Akku-Kombihammer ist die optimale Lösung wenn es um Hammerbohrern und Meißeln in Beton, Stein und ähnlichen Werkstoffen und mit Bohrkronen in Ziegeln und dergleichen geht. Ebenso eignet er sich zum Bohren ohne Schlag in Metall, Holz, usw. und zum Schrauben. Der bürstenlose Motor sowie das Hochleistungsschlagwerk garantieren einen schnellen Arbeitsfortschritt. Egal ob man Dübellöcher bohrt, Fliesen entfernt, Dosen senkt oder Betonreste wegstemmt. Das Getriebegehäuse aus Aluminium-Druckguss macht den Kombihammer besonders robust für die harten Anforderungen. Mit der ergonomischen Bauweise und dem optimalen Schwerpunkt liegt das Werkzeug perfekt in der Hand – ideal für komfortables Arbeiten mit geringem Kraftaufwand. Das integrierte Dämpfungssystem und der vibrationsreduzierende Zusatzhandgriff ermöglichen ein gelenkschonendes, ermüdungsarmes Arbeiten auch bei lang andauernden Meißelarbeiten oder beim Bohren in Beton. Die eingebaute Vario-Constamatic (VC)-Elektronik eignet sich zum Bohren mit materialgerechten Drehzahlen, die unter Last nahezu konstant bleiben. Die Sicherheitskupplung reduziert die Unfallgefahr auf ein absolutes Minimum, indem sie den Antrieb unmittelbar stoppt, sobald der Bohrer blockiert. Mit dem praktischen Schnellwechselsystem Metabo Quick kann das SDS-plus-Bohrfutter bequem gegen ein Schnellspannbohrfutter für Holz- und Metallbohrer ausgetauscht werden. Der leichte und robuste Kombihammer ist die optimale Lösung für alle Handwerker, die effizient und mobil arbeiten wollen, ohne auf Leistung zu verzichten. 

Technische Daten:

Spannung: 18 V
Max. Einzelschlagenergie: 2,2 J
Werkzeugaufnahme: SDS plus
Motorart: Bürstenloser Motor
Max. Schlagzahl: 4500 /min
Leerlaufdrehzahl: 0-1200 UpM
Bohr-Ø Beton mit Hammerbohrern: 24 mm
Bohr-Ø Mauerwerk mit Bohrkronen: 68 mm
Bohr-Ø Stahl: 13 mm
Bohr-Ø Weichholz: 25 mm
Schalldruckpegel: 91 dB(A)
Schallleistungspegel: 102 dB(A)
Unsicherheit (K): 3 dB
Schwingungsemissionswert (Hammerbohren in Beton): 10,5 m/s²
Schwingungsemissionswert (Meißeln): 8,6 m/s²
Unsicherheit (K): 1,5 m/s²


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SKU: 18434024812

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4.8 ★★★★★
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J
Jiewen Wang
Los Angeles, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Phoenix, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Los Angeles, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Carnegie, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Chelsea, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025

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