Price: $50.00 - $34.19
(as of Sep 08, 2024 04:52:56 UTC – Details)
If you are aspiring to build a racing car, How to Build Motorcycle-engined Racing Cars could be the book that you’ve been waiting for! Tony Pashley revisits the path that he took in the Pashley Project articles in Race Tech magazine during the design and construction of two successful hillclimb cars, but this time in great detail, with a view to enabling the reader to carry out a similar exercise for themselves. Although hillclimb and sprint cars are the focal topic, a lot of the book is applicable to race cars in general. The cars under discussion in the book are powered by motorcycle engines, which are meeting with great success in the smaller racing car classes. The total process of building a car is described, beginning with the selection and procurement of the engine. Chassis and suspension design is covered in a simplistic but adequate manner as the author’s aim is to minimize the inclusion of involved calculations. Two recipes for chassis construction are illustrated in detail, along with guidance on the processes of construction and a description of the required equipment. Following on from this, the fabrication of the suspension is explained. Further chapters are dedicated to the remaining aspects of the vehicle, covering transmission, brakes, fuel and coolant systems, and electrics. The book is heavily illustrated with 200 photographs and extensive explanatory diagrams and tables. It is a vital addition to any would-be kit car builder’s library.
Publisher : Veloce Publishing Ltd; Reprint edition (August 15, 2017)
Language : English
Paperback : 128 pages
ISBN-10 : 1787111695
ISBN-13 : 978-1787111691
Item Weight : 1.1 pounds
Dimensions : 8.21 x 0.4 x 9.6 inches
Customers say
Customers find the book’s content good, filling in the details specific to motor cycle engined race cars. They also describe the writing style as informative, well-written, entertaining, and easy to follow. Readers appreciate the clear photographs showing various ways others have done things.
AI-generated from the text of customer reviews
