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Notes for manufacturing instructors = from class to workshop /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Notes for manufacturing instructors/ edited by Diego Carou, J. Paulo Davim.
Reminder of title:	from class to workshop /
other author:	Carou, Diego.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiii, 321 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Design for sustainability -- Design for additive manufacturing -- Machining using -- Plastic injection simulation -- Conventional machining: turning, drilling or milling -- Non-conventional machining -- Powder metallurgy -- Metal forming -- Finishing processes -- Foundry -- Mechanical fastening -- Adhesive joining -- Welding processes -- Coordinate measuring machines methodologies -- Tolerancing -- Design of experiments -- Machine learning.
Contained By:	Springer Nature eBook
Subject:	Production engineering - Study and teaching. -
Online resource:	https://doi.org/10.1007/978-3-031-48468-1
ISBN:	9783031484681

Notes for manufacturing instructors = from class to workshop /
Notes for manufacturing instructorsfrom class to workshop /[electronic resource] :edited by Diego Carou, J. Paulo Davim. - Cham :Springer Nature Switzerland :2024. - xiii, 321 p. :ill. (some col.), digital ;24 cm. - Materials forming, machining and tribology,2195-092X. - Materials forming, machining and tribology..

Introduction -- Design for sustainability -- Design for additive manufacturing -- Machining using -- Plastic injection simulation -- Conventional machining: turning, drilling or milling -- Non-conventional machining -- Powder metallurgy -- Metal forming -- Finishing processes -- Foundry -- Mechanical fastening -- Adhesive joining -- Welding processes -- Coordinate measuring machines methodologies -- Tolerancing -- Design of experiments -- Machine learning.

This book offers an extensive guide to the most engaging computer and laboratory sessions for teaching manufacturing engineering topics. It serves as a valuable resource for educators in planning their practical coursework. The book comprises 14 chapters covering a wide range of subjects, including design and simulations, various manufacturing processes such as additive manufacturing, injection molding, forming, machining, casting, and non-conventional machining, as well as process monitoring, metrology, and inspection using computed tomography. It also explores the application of methodologies like the design of experiments and machine learning. These contributions enable both lecturers and students to apply manufacturing engineering theory in real-world scenarios, drawing from the best practices developed in engineering institutions worldwide.

ISBN: 9783031484681

Standard No.: 10.1007/978-3-031-48468-1doiSubjects--Topical Terms:

3463328
Production engineering
--Study and teaching.

LC Class. No.: TS176

Dewey Class. No.: 670.711

Notes for manufacturing instructors = from class to workshop /
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505 0 $a Introduction -- Design for sustainability -- Design for additive manufacturing -- Machining using -- Plastic injection simulation -- Conventional machining: turning, drilling or milling -- Non-conventional machining -- Powder metallurgy -- Metal forming -- Finishing processes -- Foundry -- Mechanical fastening -- Adhesive joining -- Welding processes -- Coordinate measuring machines methodologies -- Tolerancing -- Design of experiments -- Machine learning.
520 $a This book offers an extensive guide to the most engaging computer and laboratory sessions for teaching manufacturing engineering topics. It serves as a valuable resource for educators in planning their practical coursework. The book comprises 14 chapters covering a wide range of subjects, including design and simulations, various manufacturing processes such as additive manufacturing, injection molding, forming, machining, casting, and non-conventional machining, as well as process monitoring, metrology, and inspection using computed tomography. It also explores the application of methodologies like the design of experiments and machine learning. These contributions enable both lecturers and students to apply manufacturing engineering theory in real-world scenarios, drawing from the best practices developed in engineering institutions worldwide.
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650 0 $a Manufacturing processes $x Study and teaching. $3 3713124
650 1 4 $a Industrial and Production Engineering. $3 891024
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700 1 $a Davim, J. Paulo. $3 907796
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