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Description
Absolute Black Premium Oval Road 52T, Compatible with Shimano 9100/8000 - PVDSpecial PVD Rainbow Titanium coating process makes chainrings very durable and incredibly beautiful NOTE: Due to the nature of the PVD process, every chainring is unique and color may vary. Not a single chainring is the same which makes your new ring completely individual Compatibility: Compatible with Shimano Dura Ace 9100, R9120, R9150 & R9170 Di2 and Ultegra 8000, R8020, R8050 & 8070 Di2, 105 R7000, R7020, R7070. They can also retrofit all 9000 and
- Special PVD Rainbow Titanium coating process makes chainrings very durable and incredibly beautiful- NOTE: Due to the nature of the PVD process, every chainring is unique and color may vary. Not a single chainring is the same which makes your new ring completely individual
- Compatibility: Compatible with Shimano Dura-Ace 9100, R9120, R9150 & R9170 Di2 and Ultegra 8000, R8020, R8050 & 8070 Di2, 105- R7000, R7020, R7070. They can also retrofit all 9000 and 6800 series cranks but use bolt covers for best appearance. 10 / 11 / 12sp compatible
- For outer chainring please order "long bolts" from us OR bolt covers. Changing inner chainring to oval only? use original bolts
- Inner and outer oval chainrings are optimized with smooth shifting in mind
- Features smooth angled surfaces, (6) up-shifting ramps (outer ring), and (12) down-shifting points (outer ring)
- Oval rings help the rider spin smoother and generate more power
- Example: 32t is equivalent to 30t at deadspot and 34t at the power zone
- Works with 2x chainring systems and does not require any modification to the front derailleur for use
- Designed in UK, manufactured in Poland
Today's Stock Status
Currently not available
1 Available to ship in 2-4 Business Days
UPC: Not available
EAN: 5110846005031
Manufacturer Part Number: ROV91/52/4RB
AI5208 CR1997
151202-Q0-L
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4.0 ★★★★★
Based on 5 reviews
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Product Reviews
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
★★★★★ 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!
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Reviewed in the United States on May 28, 2026
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on October 24, 2025
★★★★★ 5
good book for beginners in Python and in simulation
Format: Kindle
Author made very short and simple intro into Python to jump into many different code examples to show how to solve them and to visualize results in Python. Reader will learn how to use Python libraries for modeling and simulation. Each example has an analytical solution and numerical with Python and visualization tools
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Reviewed in the United States on January 2, 2026