Advances in Manufacturing and Industrial Engineering
Select Proceedings of ICAPIE 2019
Series: Lecture Notes in Mechanical Engineering;
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127 086 Ft (121 034 Ft + 5% VAT)
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127 086 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer
- Date of Publication 14 January 2022
- Number of Volumes 2 pieces, Book
- ISBN 9789811585449
- Binding Paperback
- No. of pages1211 pages
- Size 235x155 mm
- Weight 1887 g
- Language English
- Illustrations 111 Illustrations, black & white; 416 Illustrations, color 279
Categories
Short description:
This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.
MoreLong description:
This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.
MoreTable of Contents:
A Review on the Fabrication of Surface Composites via Friction Stir Processing and its Modeling using ANN.- A Statistical Study of Consumer Perspective Towards The Supply Chain Management of Food Delivery Platforms.- Design of an Auxiliary 3D Printed Soft Prosthetic Thumb.- Prediction of Material Removal Rate and Surface Roughness in CNC Turning of Delrin using various Regression techniques and Neural Networks and Optimization of Parameters using Genetic Algorithm.- Finding Accuracies of Various Machine Learning Algorithms by Classification of Pulsar Stars.- Fibre-Reinforced Composites and their Applications in Student Competitions: A Case Study
More
