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Description
BMR 16-17 6th Gen Camaro Front Sway Bar End Link Kit - BlackThis combination of components gives you a huge increase in strength over stock end links. BMR designed the ELK016 sway bar end link kit for street performance, autocross, and road race applications. BMR's heavy duty adjustable end links are designed to reduce deflection normally seen with stock sway bar end links. End link deflection means reduced sway bar rate, leaving you with increased body roll and reduced handling ability. BMR's ELK016 will not
This combination of components gives you a huge increase in strength over stock end links.BMR designed the ELK016 sway bar end link kit for street performance, autocross, and road race applications. BMR's heavy-duty adjustable end links are designed to reduce deflection normally seen with stock sway bar end links. End link deflection means reduced sway bar rate, leaving you with increased body roll and reduced handling ability. BMR's ELK016 will not deflect, giving you the full potential of the sway bar, no matter how hard you drive. The adjustable links allow for on-car adjustability, giving you the ability to easily correct sway bar geometry and working angles on lowered Camaros, as well as cars with adjustable sway bars. The ELK016 adjustable end links give you the ability to preload the sway bar to fine-tune your suspensionsetup for any track. Combine this with BMR's adjustable sway bars, and you can dial-in your car for the street or any track you may drive on. When performance is a must, rely on BMR's suspension!BMR's suspensions ELK016 sway bar end links are available in a durable black anodized finish for long-lasting good looks. Installation time is about 1 hour. Proudly made in the U.S.A.!This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2018-2023 | Chevrolet | Camaro | LS |
| 2016-2024 | Chevrolet | Camaro | LT |
| 2020-2024 | Chevrolet | Camaro | LT1 |
| 2016-2024 | Chevrolet | Camaro | SS |
| 2017-2024 | Chevrolet | Camaro | ZL1 |
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4.7 ★★★★★
Based on 22 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