PERFORMANCE AUTOMOTIVE ENGINE MATH
Walks readers through the complete engine, showcasing the methodology
required to define each specific parameter, and how to translate the engineering
math to hard measurements reflected in various engine parts, and a successful
Author John Baechtel
Foreword by Jim McFarland
Binding: Soft Cover
Number of photos: well illustrated with 175 colour photos
Book Condition: New
Number of pages 160 pages
Dimensions: 216mm x 277mm x 13mm | 567g
Publisher: : Cartech Inc North Branch 20 June 2011
ISBN Number ISBN 10: 1934709476 ISBN 13: 9781934709474
Cartech Book No SA204
Availability: IN STOCK
Shipping Weight 0.5KG to 1.00KG
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Price without the the 10% GST $38.64 For the cost in your currency CLICK ON AMOUNT
ABOUT
All the parts within any engine are designed and engineered using the
appropriate mathematics to function efficiently and be durable. When discussing
high-performance automotive engines, a specific set of math formulas are
used to develop and design power plants to make more power at higher rpm
levels and still survive. The various forms of motorsport and street use
all have different requirements, but the math used to design engines to
be competitive does not change, regardless of the specific discipline.
Multi-time author and well-regarded performance engine builder/designer
John Baechtel has assembled the relevant mathematics and packaged it all
together in a book designed for automotive enthusiasts. This book walks
readers through the complete engine, showcasing the methodology required
to define each specific parameter, and how to translate the engineering
math to the hard measurements reflected in various engine parts. Designing
the engine to work as a system of related components is no small task,
but the ease with which Baechtel escorts the reader through the process
makes this book perfect for both the budding engine enthusiast and the
professional builder.
Author Baechtel's experience and writing capabilities shine in Performance
Automotive Engine Math, and this book will surely be a strong addition
to any high-performance library.See In Side
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