SKU: 87688172048

ldpe afvalzakken 90 x 110 cm blauw type 70 op rol 100 stuks

$30.27 $33.63
Save 10%
No.2 Bestseller on mapetitemediatheque.fr >

Pay in installments of $8.41 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 24 - Jul 29

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

ldpe afvalzakken 90 x 110 cm blauw type 70 op rol 100 stuksKURTT Mllscke LDPE 90x110cm Blau die extra starken Abfallscke mit gerumigem Format, die Betriebe und Produktionssttten mit grobem und schwerem Restabfall, Lager und Distributionszentren mit Verpackungs und Palettenabfall in groen Volumen, Baustellen und Bauunternehmen mit Bauabfall und schweren Abfallstrmen, Facility Dienste, die groe Container und Abfallstationen verwalten, und Haushalte mit groen Aufrum und Renovierungsarbeiten whlen. LDPE Material

KURTT Müllsäcke LDPE 90x110cm Blau — die extra starken Abfallsäcke mit geräumigem Format, die Betriebe und Produktionsstätten mit grobem und schwerem Restabfall, Lager und Distributionszentren mit Verpackungs- und Palettenabfall in großen Volumen, Baustellen und Bauunternehmen mit Bauabfall und schweren Abfallströmen, Facility-Dienste, die große Container und Abfallstationen verwalten, und Haushalte mit großen Aufräum- und Renovierungsarbeiten wählen. LDPE-Material (Polyethylen niedriger Dichte), extra stark und reißfest, geschmeidig und flexibel, gut beständig gegen scharfe Kanten. Typ 70 Qualität, auf Rolle geliefert. 100 Stück pro Karton. Bestellung vor 14:00 Uhr = Versand am selben Werktag.

Spezifikationen

  • Marke: KURTT
  • Abmessung: 90 x 110 cm
  • Material: LDPE (Polyethylen niedriger Dichte)
  • Qualität: Typ 70 (T70) — stark und reißfest
  • Farbe: blau
  • Verpackung: auf Rolle, einfaches Abreißen
  • Inhalt: 100 Stück pro Karton
  • Geeignet für: groben Abfall, Verpackungsmaterial, schwere Abfallströme

 

LDPE Typ 70 — extra stark und reißfest

Typ 70 ist die stärkste Qualität für schwere Abfallströme. Das geschmeidige LDPE-Material ist gut beständig gegen scharfe Kanten und schwere Lasten — es dehnt sich, statt zu reißen, bei spitzen oder schweren Gegenständen. Wo dünnere Säcke bei Verpackungsmaterial oder Bauabfall bereits durchreißen, hält dieser T70-Sack unter ernsthafter Belastung stand.

90x110cm — extra geräumiges Format für großen Abfall

Mit einem Format von 90 x 110 cm bieten diese Säcke einen extra geräumigen Inhalt für groben Abfall, volumiges Verpackungsmaterial und große Mengen Restabfall. Das breite Format ist ideal für große Abfalleimer, Container und intensive Aufräumarbeiten, wo Breite und Tiefe beide nötig sind.

Blau — übersichtliche Abfalltrennung

Die blaue Farbe macht die Abfalltrennung übersichtlich und sorgt für ein wiedererkennbares, gepflegtes Erscheinungsbild auf der Arbeitsfläche. In einem Lager oder auf einer Baustelle, wo mehrere Abfallströme nebeneinander laufen, hilft ein fester Farbcode, Abfall schnell und korrekt zu trennen.

Auch erhältlich — komplette Müllsäcke-Linie

Leichter Abfall — Tretmülleimer und kleine Eimer:

  • 𝗠ü𝗹𝗹𝗯𝗲𝘂𝘁𝗲𝗹 𝟱𝟬𝘅𝟱𝟱𝗰𝗺 𝗛𝗗𝗣𝗘 𝗧𝘆𝗽 𝟭𝟱 — kleine Tretmülleimer in Küche, Büro und Sanitär
  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟲𝟭𝘅𝟴𝟬𝗰𝗺 𝗛𝗗𝗣𝗘 𝗧𝘆𝗽 𝟮𝟯 — kleine bis mittelgroße Eimer, auch Lebensmittelkontakt

Allgemeiner Abfall — mittelgroße Eimer:

  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟲𝟬𝘅𝟴𝟬𝗰𝗺 𝗟𝗗𝗣𝗘 𝗧𝘆𝗽 𝟱𝟬 — allgemeiner Abfall mit Gewicht in Büro, Geschäft und Gastronomie

Großes Volumen — Reinigungswagen und Container:

  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟳𝟬𝘅𝟭𝟭𝟬𝗰𝗺 𝗛𝗗𝗣𝗘 𝗧𝘆𝗽 𝟮𝟱 — Reinigungswagen, große Mengen leichten Abfalls
  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟳𝟬𝘅𝟭𝟭𝟬𝗰𝗺 𝗟𝗗𝗣𝗘 𝗧𝘆𝗽 𝟲𝟬 — Reinigungswagen, schwererer professioneller Abfall
  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟴𝟬𝘅𝟭𝟮𝟬𝗰𝗺 𝗟𝗗𝗣𝗘 𝗧𝘆𝗽 𝟳𝟬 — große Container, schwerer industrieller Abfall
  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟵𝟬𝘅𝟭𝟭𝟬𝗰𝗺 𝗟𝗗𝗣𝗘 𝗧𝘆𝗽 𝟳𝟬 — dieses Produkt, große Container, schwerer Abfall in Lager und Bau
  • 𝗠ü𝗹𝗹𝘀ä𝗰𝗸𝗲 𝟲𝟱/𝟮𝟱𝘅𝟭𝟰𝟬𝗰𝗺 𝗟𝗗𝗣𝗘 𝗧𝘆𝗽 𝟳𝟬 — Rollcontainer, grober und schwerer Abfall, größtes Volumen

Wählen Sie HDPE (Typ 15/23/25) für leichten Abfall, LDPE (Typ 50/60/70) für schwereren Abfall. Je höher die Typ-Zahl, desto stärker der Sack.

💡 TIPP: Der 90x110cm ist breiter als der 80x120cm und kürzer als der 65/25x140cm — wählen Sie dieses Format, wenn Sie viel Breite für volumigen Abfall brauchen, aber keinen extra langen Rollcontainersack benötigen.

Einsatzbereiche

Logische Wahl für Betriebe und Produktionsstätten mit grobem Restabfall; Lager und Distributionszentren mit Verpackungsabfall; Baustellen und Bauunternehmen mit Bauabfall; Facility-Dienste, die große Container verwalten; und Haushalte mit großen Aufräumarbeiten.

Häufig gestellte Fragen

Für welchen Abfalltyp geeignet? Grober und schwerer Abfall — Bauabfall, volumiges Verpackungsmaterial, schwere gemischte Abfallströme.

Was bedeutet Typ 70? Typ 70 (T70) ist die extra starke Qualität — hohe Reiß- und Zugfestigkeit für schwere Lasten und scharfe Kanten.

Unterschied zum 80x120cm? Der 90x110cm ist breiter und etwas kürzer. Wählen Sie den 90x110cm für breiten volumigen Abfall, den 80x120cm für mehr Tiefe.

Unterschied zum 65/25x140cm? Der 65/25x140cm ist ein Seitenfaltensack für Rollcontainer. Der 90x110cm (dieses Produkt) ist ein flacher geräumiger Sack für große Eimer und Container.

Wie schnell werden die Säcke geliefert? Bestellung vor 14:00 Uhr an einem Werktag = Versand am selben Werktag.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 87688172048

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.0 ★★★★★
Based on 18 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
S
Verified Purchase
Shannon
Waukegan, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Pawtucket, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Louisville, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Carnegie, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Pawtucket, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

recommand products

Ziptop Power
37.50
teamGOAL 23 Teambag M BC (Boot Compartment)
39.50
Polyesterjacke Champ 2.0
27.00
teamLIGA Training Pants
25.50
Coachjacke Team
59.50