SKU: 75923695702

Bosch GBS 18V-75 Akku Bandschleifer 18 V 76 x 533 mm Brushless ( 06012C2000 ) Solo - ohne Akku, ohne Ladegerät

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Description

Bosch GBS 18V-75 Akku Bandschleifer 18 V 76 x 533 mm Brushless ( 06012C2000 ) Solo - ohne Akku, ohne LadegerätLieferumfang: 1x Bosch GBS 18V 75 Bandschleifer 1x Staubsack ( 1619PC7067 ) 1x Schleifband ( 1619PC7061 ) ohne Akku, ohne Ladegert Produktbeschreibung: Der Bosch GBS 18V 75 Bandschleifer berzeugt durch sein kompaktes, leichtes und ergonomisches Design, das eine komfortable Ein oder Zweihandbedienung ermglicht. Sein leistungsstarker brstenloser Motor sorgt fr eine hohe Schleifleistung und effizientes Arbeiten bei unterschiedlichsten Anwendungen.

Lieferumfang:

- 1x Bosch GBS 18V-75 Bandschleifer
- 1x Staubsack ( 1619PC7067 )
- 1x Schleifband ( 1619PC7061 )
- ohne Akku, ohne Ladegerät

Produktbeschreibung:

Der Bosch GBS 18V-75 Bandschleifer überzeugt durch sein kompaktes, leichtes und ergonomisches Design, das eine komfortable Ein- oder Zweihandbedienung ermöglicht. Sein leistungsstarker bürstenloser Motor sorgt für eine hohe Schleifleistung und effizientes Arbeiten bei unterschiedlichsten Anwendungen. Gleichzeitig erhöhen intelligente Sicherheitsfunktionen wie Fall- und Stoßschutz die Arbeitssicherheit. Der Bandschleifer wurde speziell für das Schleifen von Holz entwickelt und eignet sich ideal für Rahmenbau, Dachdeckerarbeiten, den Schrankeinbau sowie viele weitere Anwendungen im Holzbau. Mit einem Gewicht von nur 2,7 kg bietet er ein besonders angenehmes Handling. Zur Ausstattung gehören zudem eine LED-Lichtleiste für optimale Sicht auf den Arbeitsbereich sowie ein modernes HMI-Display zur Einstellung der Geschwindigkeit und Anzeige des Werkzeugstatus. Ein robuster Staubbeutel sorgt für eine einfache Staubaufnahme, außerdem ist das Gerät mit dem Bosch Click & Clean System kompatibel.

Technische Daten:

Hersterller: Bosch
Herstellerbezeichnung: GBS 18V-75
Herstellernummer: 06012C2000
Schleiffläche, Breite : 75 mm
Band, Länge : 533 mm
Band, Breite : 75 mm
Bandlaufgeschwindigkeit : 200 – 320 m/min
Gewicht : 3,2 kg
Verpackungsabmessungen (B × L × H) : 183 × 324 × 187 mm
Akkuspannung, geeignet für : 18,0 V
Akku Empfehlung : ≥ 4,0 Ah
Akkutyp : Lithium Ionen
Motortechnologie : Bürstenlos
Schwingungsemissionswert (Massiv Holz schleifen) ah: 2,8 m/s²
Unsicherheit K: 1,5 m/s²
Schalldruckpegel: 88 dB(A)
Schallleistungspegel: 96 dB(A)
Unsicherheit K: 3 dB

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SKU: 75923695702

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Zay
Belleville, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Waukegan, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Lexington, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Charlottesville, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
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Ira Laefsky
Draper, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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