Fr. 357.00

Recent Trends in Manufacturing Engineering - Select Proceedings of ICMech 2024

English · Paperback / Softback

Will be released 14.08.2025

Description

Read more

This book presents the select proceedings of International Conference on Mechanical Engineering: Researches and Evolutionary Challenges (ICMech-REC 24). The topics covered include advanced manufacturing processes, materials engineering, composite materials, nano materials, smart materials, additive manufacturing automation and robotics, sustainable manufacturing and emerging technologies. This book serves as a valuable resource for academics, industry professionals and professionals interested in manufacturing and allied fields.

List of contents

Artificial Intelligence and Machine Learning Based Predictive Modelling of Beam and 3D Bolt through FEA.-A DAUBECHIES WAVELET-BASED CUTTER SELECTION METHOD FOR EFFICIENT TOOL WEAR MONITORING USING RESNET DEEP LEARNING MODEL.- RANDOMFOREST REGRESSION ANALYSIS FOR SOLAR POND.- A Study on Alkali Treatment effects on Mechanical and Water Absorption Characteristics of Jute-Banana Fiber Phenolic Resin Composites.- Performance Comparison of a Pigeon with a Pigeon Inspired Fixed Wing Micro Unmanned Aerial Vehicle.- Comparative study on mechanical properties and microstructure due to different percentage of reinforcement of B4C on Al7075/B4C Metal Matrix Composite.

Product details

Assisted by Manoj Gupta (Editor), Aswani Kumar Bandaru (Editor), Gujjala Raghavendra (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Release 14.08.2025
 
EAN 9789819675753
ISBN 978-981-9675-75-3
No. of pages 600
Illustrations Approx. 600 p.
Series Lecture Notes in Mechanical Engineering

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.