SKU: 28204859643

USR1309 - Tarcze hamulcowe nacinane seria USR (Para) EBC Brakes FORD | C-Max (Mk1) | C-Max (Mk2) | Focus (Mk2) | Focus (Mk3) | F

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Description

USR1309 - Tarcze hamulcowe nacinane seria USR (Para) EBC Brakes FORD | C-Max (Mk1) | C-Max (Mk2) | Focus (Mk2) | Focus (Mk3) | FTarcze hamulcowe samochodowe USR, to nowa seria dostpna do wybranych modeli samochodw, oferujca znacznie cichsze hamowanie ni tarcze Turbo Groove. Tarcze USR s pokryte najnowszej technologii powok zabezpieczajc przed wystpowaniem zbyt wczesnych ognisk korozji . S to standardowych rozmiarw zamienniki oryginalnych czci zamiennych w kolorze czarnym, poddane kosmetycznym naciciom powierzchniowym, ktre daj sporo korzyci znacznie przyspieszajc oczyszczanie



Tarcze hamulcowe samochodowe USR, to nowa seria dostępna do wybranych modeli samochodów, oferująca znacznie cichsze hamowanie niż tarcze Turbo Groove. Tarcze USR są pokryte najnowszej technologii powłoką zabezpieczającą przed występowaniem zbyt wczesnych ognisk korozji . Są to standardowych rozmiarów zamienniki oryginalnych części zamiennych w kolorze czarnym, poddane kosmetycznym nacięciom powierzchniowym, które dają sporo korzyści znacznie przyspieszając oczyszczanie i osuszanie się tarcz, oraz redukcje ciśnienia gazów pod klockami.

DANE TECHICZNE
  • Typ: Nacinane/Szczelinowe
  • Pełne/Wentylowane: Wentylowane
  • Ilość otworów: 5
  • Średnica (mm): 300
  • Wysokość (mm): 49
  • Grubość (mm): 25
  • Minimalna grubość (mm): 23
  • Zastosowanie na oś: Przód
ZASTOSOWANIE

Marka Model Silnik Wartość Moc (KM) Rocznik
FORD C-MAX (MK1) 1.6 TD 109 2007-2011
FORD C-MAX (MK1) 1.6 TD 90 2007-2011
FORD C-MAX (MK1) 1.8 TD 110 2007-2011
FORD C-MAX (MK1) 2.0 145 2007-2011
FORD C-MAX (MK1) 2.0 TD 135 2007-2011
FORD C-MAX (MK2) 1.0 TURBO 100 2012-2019
FORD C-MAX (MK2) 1.0 TURBO 125 2012-2019
FORD C-MAX (MK2) 1.6 85 2010-2019
FORD C-MAX (MK2) 1.6 105 2010-2019
FORD C-MAX (MK2) 1.6 125 2010-2019
FORD C-MAX (MK2) 1.6 120 2011-2019
FORD C-MAX (MK2) 1.6 TD 115 2010-2019
FORD C-MAX (MK2) 1.6 TD 95 2010-2019
FORD C-MAX (MK2) 1.6 TURBO 182 2010-2019
FORD C-MAX (MK2) 1.6 TURBO 150 2010-2019
FORD C-MAX (MK2) 2.0 TD 163 2011-2019
FORD C-MAX (MK2) 2.0 TD 115 2011-2019
FORD C-MAX (MK2) 2.0 TD 140 2011-2019
FORD FOCUS (MK2) 1.8 2005-2011
FORD FOCUS (MK2) 1.8 TD 2005-2011
FORD FOCUS (MK2) 2.0 2005-2011
FORD FOCUS (MK2) 2.0 TD 2005-2011
FORD FOCUS (MK3) 1.5 TD 120 2015-2018
FORD FOCUS (MK3) 1.5 TD 95 2015-2018
FORD FOCUS (MK3) 1.5 TD 105 2015-2018
FORD FOCUS (MK3) 1.5 TURBO 182 2014-2018
FORD FOCUS (MK3) 1.5 TURBO 150 2014-2018
FORD FOCUS (MK3) 1.6 TD 115 2011-2014
FORD FOCUS (MK3) 1.6 TURBO 180 2011-2014
FORD FOCUS (MK3) 1.6 TURBO 150 2011-2014
FORD FOCUS (MK3) 2.0 TD 160 2011-2014
FORD FOCUS (MK3) 2.0 TD 140 2011-2014
FORD FOCUS (MK3) 2.0 TD 115 2011-2014
FORD FOCUS (MK3) 2.0 TD 150 2014-2018
FORD FOCUS CC 2.0 2006-2011
FORD FOCUS CC 2.0 TD 2006-2011
FORD FOCUS C-MAX 1.6 TD 2003-2005
FORD FOCUS C-MAX 1.6 TD 2005-2007
FORD FOCUS C-MAX 1.8 TD 2003-2005
FORD FOCUS C-MAX 1.8 TD 2005-2007
FORD FOCUS C-MAX 2.0 TD 2003-2005
FORD FOCUS C-MAX 2.0 TD 2005-2007
FORD GRAND C-MAX 1.0 TURBO 100 2012-
FORD GRAND C-MAX 1.0 TURBO 120 2012-
FORD GRAND C-MAX 1.6 125 2010-
FORD GRAND C-MAX 1.6 105 2010-
FORD GRAND C-MAX 1.6 TD 115 2010-
FORD GRAND C-MAX 1.6 TD 95 2010-
FORD GRAND C-MAX 1.6 TURBO 182 2010-
FORD GRAND C-MAX 1.6 TURBO 150 2010-
FORD GRAND C-MAX 2.0 TD 163 2011-
FORD GRAND C-MAX 2.0 TD 115 2011-
FORD GRAND C-MAX 2.0 TD 140 2011-
FORD KUGA (MK1) 2.0 TD 2008-2012
FORD KUGA (MK1) 2.5 TURBO 2009-2012
FORD KUGA (MK2) 1.5 TURBO 150 2014-2019
FORD KUGA (MK2) 1.5 TURBO 150 2014-2019
FORD KUGA (MK2) 1.5 TURBO 180 2014-2019
FORD KUGA (MK2) 1.5 TURBO 180 2014-2019
FORD KUGA (MK2) 1.5 TURBO 120 2016-2019
FORD KUGA (MK2) 1.5 TURBO 120 2016-2019
FORD KUGA (MK2) 1.6 TURBO 180 2013-2014
FORD KUGA (MK2) 1.6 TURBO 150 2013-2014
FORD KUGA (MK2) 2.0 TD 150 2014-2019
FORD KUGA (MK2) 2.0 TD 150 2014-2019
FORD TOURNEO CONNECT 1.0 TURBO 100 2013-
FORD TOURNEO CONNECT 1.6 TD 115 2013-2016
FORD TOURNEO CONNECT 1.6 TD 95 2013-2016
FORD TOURNEO CONNECT 1.6 TURBO 150 2013-2016
VOLVO C30 1.6 100 2006-2013
VOLVO C30 1.6 TD 109 2007-2013
VOLVO C30 1.6 TD 115 2010-2012
VOLVO C30 1.8 125 2006-2010
VOLVO C30 2.0 145 2006-2013
VOLVO C30 2.0 TD 136 2007-2013
VOLVO C30 2.0 TD 150 2010-2013
VOLVO C30 2.0 TD 177 2010-2013
VOLVO C30 2.4 170 2006-2013
VOLVO C30 2.4 TD 180 2007-2013
VOLVO C30 2.5 TURBO 220 2006-2007
VOLVO C30 2.5 TURBO 230 2007-2013
VOLVO C30 2.5 TURBO 253 2012-2013
VOLVO C70 2.0 TD 2008-2013
VOLVO C70 2.4 TD 2006-2013
VOLVO S40 1.6 TD 2005-2012
VOLVO S40 2.0 TD 2006-2012
VOLVO S40 2.0 TD 2006-2012
VOLVO S40 2.4 2004-2005
VOLVO S40 2.4 2004-2005
VOLVO S40 2.4 2005-2012
VOLVO S40 2.4 2005-2012
VOLVO S40 2.4 TD 2006-2012
VOLVO S40 2.4 TD 2006-2012
VOLVO S40 T5 2.5 TURBO 2004-2005
VOLVO S40 T5 2.5 TURBO 2005-2012
VOLVO V40 1.6 TD 2012-
VOLVO V40 1.6 TD 2012-
VOLVO V40 1.6 TURBO 2012-
VOLVO V40 2.0 180 2013-
VOLVO V40 2.0 180 2013-
VOLVO V40 2.0 TD 2012-
VOLVO V40 2.0 TD 2012-
VOLVO V40 2.0 TURBO 214 2013-
VOLVO V40 2.0 TURBO 214 2013-
VOLVO V40 CROSS COUNTRY D2 1.6 TD 115 2012-
VOLVO V40 CROSS COUNTRY T4 1.6 TURBO 180 2012-
VOLVO V40 CROSS COUNTRY T3 1.6 TURBO 150 2012-
VOLVO V40 CROSS COUNTRY D4 2.0 TD 190 2012-
VOLVO V40 CROSS COUNTRY D3 2.0 TD 150 2012-
VOLVO V40 CROSS COUNTRY T5 2.5 TURBO 254 2012-
VOLVO V50 1.6 TD 2005-2012
VOLVO V50 1.8 2005-2012
VOLVO V50 2.0 2006-2012
VOLVO V50 2.0 TD 2004-2005
VOLVO V50 2.0 TD 2005-2012
VOLVO V50 2.4 2004-2005
VOLVO V50 2.4 2005-2012
VOLVO V50 2.4 TD 2006-2012
VOLVO V50 T5 2.5 TURBO 2004-2005
VOLVO V50 T5 2.5 TURBO 2005-2012

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SKU: 28204859643

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4.3 ★★★★★
Based on 26 reviews
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M
Verified Purchase
Marilyn solano
West Palm Beach, US
★★★★★ 5
Interesting
Format: Paperback
Product with very good quality, its description matches the website.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
D
Verified Purchase
Daniel Rosehill
Omaha, US
★★★★★ 5
A wonderful primer for those discovering the amazing world of generative AI
Format: Paperback, Format: Paperback
Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering. If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity. I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did. Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2024
S
Verified Purchase
Scott J. Pearson
Chelsea, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Fort Morgan, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Dallas, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024

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