Fr. 64.00

Optimum Values Of Process Parameters In CNC Turning

English, German · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

Modern manufacturers, seeking to remain competitive in the market, rely on their manufacturing engineers and production personnel to quickly and effectively set up manufacturing process for new products. Taguchi Parameter design is a powerful and efficient method for optimizing quality and performance output of manufacturing processes, thus a powerful tool for meeting this challenge. This book discusses an investigation into the use of Taguchi Parameter Design for optimizing Material removal rate and surface roughness generated by a Computer Numerical Controller (CNC) lathe. Control parameters being consider in this book are cutting speed, feed rate and depth of cut. After experimentally turning sample work piece using the selected orthogonal array and the parameters, this study expected produce an optimum combination of controlled parameter for the surface roughness. And from the result generated, the correlation for Material removal rate and surface roughness with the cutting parameters satisfies a reasonable degree of approximation.

About the author










ME Mechanical (manufacturing) Assistant Professor in mechanical engineering department. T.P.C.T'S COLLEGE OF ENGINEERING, Osmanabad, Maharashtra, INDIA.

Product details

Authors Shivaji Biradar
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2013
 
EAN 9783659315770
ISBN 978-3-659-31577-0
No. of pages 76
Subject Guides > Law, job, finance > Miscellaneous

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.