SKU: 70581057063

Enkei Wheels Cyclone 16" 6x139.7 Bronze

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Enkei Wheels Cyclone 16" 6x139.7 BronzeALUMINUM EXPLAINED: PRODUCTION METHODS WILL NOT AFFECT STIFFNESS How can we increase the stiffness of wheels? As long as wheels are made of aluminum alloy, using a different production method does not affect the stiffness of the wheel. Thats because all aluminum alloys used for forging and casting create same material property with identical stiffness. You may think forging process creates stronger materials. However, when forged and cast aluminum

ALUMINUM EXPLAINED: PRODUCTION METHODS WILL NOT AFFECT STIFFNESS
How can we increase the stiffness of wheels? As long as wheels are made of aluminum alloy, using a different production method does not affect the stiffness of the wheel. That’s because all aluminum alloys used for forging and casting create same material property with identical stiffness.

You may think forging process creates stronger materials. However, when forged and cast aluminum alloys are measured by the Young’s modulus, it shows almost no difference between two methods. Forged and casted aluminum alloys are nearly identical in specific gravity as well. Therefore, if you make an exact same shape of wheels using forging and casting method, the weight of those wheels should be the same. What is the advantage of the forging process, then? It is an ability to produce higher material strength.

Generally speaking, compared with casting, forged material is superior in yield strength and tensile strength. However, no matter how great the material strength, it cannot justify an extreme reduction in weight.

Even with adequate material strength, if wheels lack stiffness, they cannot perform properly even with high-performance tires.

Durville Die Casting & MAT Process
Enkei has adopted two technologies – the Durville die casting and MAT process that ensure cast aluminum wheels have strength comparable to forged ones. In the Durville process, molten aluminum alloy is poured into the mold from its inner rim side, with the disc side facing downward. The alloy is rapidly quenched and solidifies, starting at the disc side, creating a finer metallic structure, significantly enhancing tensile strength, yield strength and elongation.

In the MAT process, the wheel rim placed on a mandrel is spun and rolled. This spinning process creates “metal flow” in the metal structure of the aluminum alloy, which is similar to the metal property seen in the forging process.

This hybrid process of casting and forging gives wheel high material strength while keep manufacturing cost more affordable than forged wheels. Additionally, it gives greater freedom of design on the wheel face.

Design Capability behind the best wheels

How does Enkei ensure its wheels have high stiffness? The answer is Enkei’s “Design Capability”.

To maintain high stiffness under great force, the wheel’s cross sectional area in the direction against the force applied needs to be enlarged. Unfortunately, the larger this area is, the heavier the wheel will get. However, if the layout, cross sectional shape of the spokes and the rim profile are designed properly, the wheel can maintain high stiffness without
adding weight.

The layout is made possible by Enkei’s vast accumulation of wheel design data and the computer aided engineering 3D simulation. In addition, Enkei strives for the largest possible weight reduction by identifying the wheel portions where stress concentration is least likely to occur and shaving down areas that do not affect stiffness.

Enkei’s processing techniques ensure the “strength” of its wheels, and its excellent design capability ensures “stiffness” and “lightness.” Enkei’s design capability is the most-treasured asset and essential for developing the highest performance wheels.

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SKU: 70581057063

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Adam
San Leandro, 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.
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Reviewed in the United States on May 22, 2026
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★★★★★ 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!!
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Reviewed in the United States on July 14, 2017
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mackster
Carnegie, 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.
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Reviewed in the United States on May 15, 2018
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Stergios Papadimitriou
San Leandro, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Sabrina
Alexandria, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026

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