Name: Advances in Sustainable Machining and Manufacturing Processes (Mathematical Engineering, Manufacturing, and Management Sciences) (en Inglés)
SKU: 62949582
Price: 63990.00 CLP
Availability: InStock
Author: Kumar Gajrani Kishor,Prasad Arbind,Kumar Ashwani

portada Advances in Sustainable Machining and Manufacturing Processes (Mathematical Engineering, Manufacturing, and Management Sciences) (en Inglés)

Advances in Sustainable Machining and Manufacturing Processes (Mathematical Engineering, Manufacturing, and Management Sciences) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Kumar Gajrani Kishor,Prasad Arbind,Kumar Ashwani

Idioma

Inglés

N° páginas

306

Encuadernación

Tapa Blanda

ISBN13

9781032256870

N° edición

Advances in Sustainable Machining and Manufacturing Processes (Mathematical Engineering, Manufacturing, and Management Sciences) (en Inglés)

Kumar Gajrani Kishor,Prasad Arbind,Kumar Ashwani (Autor) · Crc Press · Tapa Blanda

Libro Nuevo Importado

Envío: 19 a 24 días háb.

$ 116.350$ 63.990

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 12 unidades

$ 63.990

Llega entre el 24 Sep y el 01 Oct a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Advances in Sustainable Machining and Manufacturing Processes (Mathematical Engineering, Manufacturing, and Management Sciences) (en Inglés)"

This text provides an in-depth overview of sustainability in machining processes, challenges during machining of difficult-to-cut materials and different ways of green machining in achieving sustainability. It discusses important topics including green and sustainable machining, dry machining, textured cutting coated tools for machining, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data based machining, and hybrid intelligent machining. This book- Covers advances in sustainable machining such as gas-cooled machining, near dry machining, and minimum quantity lubrication. Explores use of big data, machine learning and artificial intelligence for machining processes. Provides case studies and experimental design as well as results with analysis focusing on achieving sustainability. Discusses artificial intelligence and machine learning based machining processes. Cover the latest applications of sustainable manufacturing for a better understanding of the concepts. The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of mechanical, manufacturing, industrial, production engineering and materials science.