SKU: 90827861241

2006-2009 Yamaha YXR450 Rhino 450 Cylinder Piston Gaskets Top End Rebuild Kit 5ND-11310-00 5GH-11310-00

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Description

2006-2009 Yamaha YXR450 Rhino 450 Cylinder Piston Gaskets Top End Rebuild Kit 5ND-11310-00 5GH-11310-00Cylinder Piston Gasket Top End Rebuild Kit 84. 5mm Fit For Yamaha Grizzly Kodiak Rhino Wolverine 450 Features: If your cylinder blows through, the compression is too low, or even a piston seizure has occurred, then this kit is exactly the right thing for you. Kit includes cylinder, piston, rings, pin, clips & top end gasket kit (you get exactly what is pictured). The cylinder is made of aluminum for good cooling with an internal cast iron jacket

Cylinder Piston Gasket Top End Rebuild Kit 84.5mm Fit For Yamaha Grizzly Kodiak Rhino Wolverine 450

Features:
If your cylinder blows through, the compression is too low, or even a piston seizure has occurred, then this kit is exactly the right thing for you.
Kit includes cylinder, piston, rings, pin, clips & top end gasket kit (you get exactly what is pictured).
The cylinder is made of aluminum for good cooling with an internal cast iron jacket (unlike which has a nicasil treatment).
The gaskets use performance materials to increase durability and provide greater reliability.
Includes all gaskets pictured to rebuild top end.
Kit is for standard bore size - 84.50 mm x 76 mm stroke, 20 mm steel piston pin.
This kit is excellent as a low-cost replacement for defects in the original cylinder.

Specifications:
Condition: Aftermarket 100% Brand New
Quantity: 1 Set
Material: Aluminum, Steel
Engine: 4-Stroke
Displacement: 421cc
Bore Type: Standard Bore
Bore diameter: 84.50 mm
Stroke: 76 mm
Pin diameter: 20mm
Pin length: 57mm

Replacement Part Number:
Cylinder: 5ND-11310-00, 5GH-11310-00
Cylinder Base Gasket: 5GH-11351-00
Cylinder Head Gasket: 5GH-11181-00
Piston: 5ND-11631-00-YX
Pin, Piston: 3LD-11633-00
Piston Ring Set (Std): 5ND-11603-00
Circlips, piston (2): 93450-22027
Chain Tensioner Gasket: 3GD-12213-00

(Always compare part numbers to your parts schematics and cross reference appropriately.)
(This is NOT a genuine Part, OEM part numbers are included for product type identification and comparison only.)

Fits Make/Model/Year:
Fit for Yamaha YXR450 Rhino 450 2006-2009
Fit for Yamaha YFM450 Grizzly 450 2007-2016
Fit for Yamaha YFM450 Kodiak 450 2003-2024
Fit for Yamaha YFM450 Wolverine 450 2006-2010

(Compatibility Chart is for Reference ONLY!!!)
(Please Compare with Your faulty unit and the image we provided to Decide Fitment)

Package Includes:
1x 84.5mm Cylinder
1x Piston
1x Piston Ring Set
1x 20mm Wristpin
1x Circlip(2)
1x Cylinder Base Gasket
1x Cylinder Head Gasket
1x Chain Tensioner Gasket
2x O-rings

(Comes exactly as pictured.)

Note:
Carefully compare to your old parts to be sure this is the correct part for your machine.

The product on offer is an accessory or spare part and thus is not an original product of the vehicle manufacturer.
The name of the vehicle manufacturer is stated only as an indication of the determination of the product being offered as an accessory or spare part, to clarify, for which vehicle the product on offer Fits.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
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Shipping Notes
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Exchange/Return Notes
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SKU: 90827861241

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This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
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I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Amazon Customer
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A Good Place to Start Learning AI
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Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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