國立高雄大學圖資館 |

Language: English

Back

Hybrid-energy sustainable machiningmechanism and processability /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid-energy sustainable machiningby Yanbin Zhang, Changhe Li.
Reminder of title:	mechanism and processability /
Author:	Zhang, Yanbin.
other author:	Li, Changhe.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xli, 704 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Production engineering.
Online resource:	https://doi.org/10.1007/978-981-96-7026-0
ISBN:	9789819670260$q(electronic bk.)

Hybrid-energy sustainable machiningmechanism and processability /
Zhang, Yanbin.

Hybrid-energy sustainable machiningmechanism and processability /[electronic resource] :by Yanbin Zhang, Changhe Li. - Singapore :Springer Nature Singapore :2025. - xli, 704 p. :ill., digital ;24 cm.

Chapter 1. Hybrid-energy enhanced technologies for sustainable machining -- Chapter 2. Biological Stability and circulating purification of Cutting Fluids -- Chapter 3. Preparation and modification of bio-lubricants.

This book explores the machinability mechanism of hard-to-machining materials under hybrid energy field, with a particular emphasis on the development and modification of green lubricants, the integration of multi-energy field assistance, and the intelligent machining equipment. It offers a comprehensive overview of cleaner precision manufacturing techniques, multi-energy assisted processing applications, and sustainable manufacturing practices, presenting innovative strategies for energy conservation, emission reduction, and the advancement of an eco-friendly society. By enhancing the sustainable use of bio-lubricants in intelligent machining and utilizing multi-energy field assistance to improve grinding and turning performance, this book provides a green, clean, and precise machining approach that prioritizes environmental protection, resource efficiency, and energy sustainability, while addressing the compatibility challenges between intelligent machining systems and clean energy applications.

ISBN: 9789819670260$q(electronic bk.)

Standard No.: 10.1007/978-981-96-7026-0doiSubjects--Topical Terms:

199955
Production engineering.

LC Class. No.: TP184

Dewey Class. No.: 660

Hybrid-energy sustainable machiningmechanism and processability /
LDR:02223nmm a22003255a 4500 001 693029
003 DE-He213
005 20251202165432.0
006 m d
007 cr nn 008maaau
008 260622s2025 si s 0 eng d
020 $a 9789819670260$q(electronic bk.)
020 $a 9789819670253$q(paper)
024 7 $a 10.1007/978-981-96-7026-0 $2 doi
035 $a 978-981-96-7026-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TP184
072 7 $a TDC $2 bicssc
072 7 $a TEC009010 $2 bisacsh
072 7 $a TDCX $2 thema
082 0 4 $a 660 $2 23
090 $a TP184 $b .Z63 2025
100 1 $a Zhang, Yanbin. $3 1009402
245 1 0 $a Hybrid-energy sustainable machining $h [electronic resource] : $b mechanism and processability / $c by Yanbin Zhang, Changhe Li.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xli, 704 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. Hybrid-energy enhanced technologies for sustainable machining -- Chapter 2. Biological Stability and circulating purification of Cutting Fluids -- Chapter 3. Preparation and modification of bio-lubricants.
520 $a This book explores the machinability mechanism of hard-to-machining materials under hybrid energy field, with a particular emphasis on the development and modification of green lubricants, the integration of multi-energy field assistance, and the intelligent machining equipment. It offers a comprehensive overview of cleaner precision manufacturing techniques, multi-energy assisted processing applications, and sustainable manufacturing practices, presenting innovative strategies for energy conservation, emission reduction, and the advancement of an eco-friendly society. By enhancing the sustainable use of bio-lubricants in intelligent machining and utilizing multi-energy field assistance to improve grinding and turning performance, this book provides a green, clean, and precise machining approach that prioritizes environmental protection, resource efficiency, and energy sustainability, while addressing the compatibility challenges between intelligent machining systems and clean energy applications.
650 0 $a Production engineering. $3 199955
650 0 $a Artificial intelligence. $3 194058
650 1 4 $a Mechanical Process Engineering. $3 922126
650 2 4 $a Intelligence Infrastructure. $3 920218
700 1 $a Li, Changhe. $3 972156
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-7026-0
950 $a Mechanical Engineering (R0) (SpringerNature-85268)