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Experiments and simulations in advan...

Davim, J. Paulo.

Experiments and simulations in advanced manufacturing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Experiments and simulations in advanced manufacturingedited by Panagiotis Kyratsis, J. Paulo Davim.
其他作者:	Kyratsis, Panagiotis.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiv, 279 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Production engineeringMathematical models.
電子資源:	https://doi.org/10.1007/978-3-030-69472-2
ISBN:	9783030694722$q(electronic bk.)

Experiments and simulations in advanced manufacturing
Experiments and simulations in advanced manufacturing[electronic resource] /edited by Panagiotis Kyratsis, J. Paulo Davim. - Cham :Springer International Publishing :2021. - xiv, 279 p. :ill. (some col.), digital ;24 cm. - Materials forming, machining and tribology,2195-0911. - Materials forming, machining and tribology..

Chapter 1. Energy efficient machining through evolutionary real-time optimization of cutting conditions on CNC-milling controllers -- Chapter 2. Modeling and Experimental Work on Electrical Discharge Machining -- Chapter 3. Simulations and Experiments in Single Point Incremental Forming Process -- Chapter 4. Designing novel synthetic grafts for large bone defects: experimental and numerical studies -- Chapter 5. CAD software integration with programming tools for modelling, measurement and verification of surfaces -- Chapter 6. Experimental investigation of process parameters effect on laser engraving process quality -- Chapter 7. The Effects of 3D Printing Structural Modelling on Compression Properties for Material Jetting and FDM Process -- Chapter 8. Atomistic Modelling of Nanocutting Processes -- Chapter 9. Advanced Manufacturing of the Holes by Controlled Texture -- Chapter 10. Parametric study of Electro discharge boring of Inconel 718 with radial tool movement using Taguchi Method.

This book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.

ISBN: 9783030694722$q(electronic bk.)

Standard No.: 10.1007/978-3-030-69472-2doiSubjects--Topical Terms:

225387
Production engineering
--Mathematical models.

LC Class. No.: TS176 / .E974 2021

Dewey Class. No.: 670

Experiments and simulations in advanced manufacturing
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505 0 $a Chapter 1. Energy efficient machining through evolutionary real-time optimization of cutting conditions on CNC-milling controllers -- Chapter 2. Modeling and Experimental Work on Electrical Discharge Machining -- Chapter 3. Simulations and Experiments in Single Point Incremental Forming Process -- Chapter 4. Designing novel synthetic grafts for large bone defects: experimental and numerical studies -- Chapter 5. CAD software integration with programming tools for modelling, measurement and verification of surfaces -- Chapter 6. Experimental investigation of process parameters effect on laser engraving process quality -- Chapter 7. The Effects of 3D Printing Structural Modelling on Compression Properties for Material Jetting and FDM Process -- Chapter 8. Atomistic Modelling of Nanocutting Processes -- Chapter 9. Advanced Manufacturing of the Holes by Controlled Texture -- Chapter 10. Parametric study of Electro discharge boring of Inconel 718 with radial tool movement using Taguchi Method.
520 $a This book presents the latest advances in manufacturing from both the experimental and simulation point of view. It covers most aspects of manufacturing engineering, i.e. theoretical, analytical, computational and experimental studies. Experimental studies on manufacturing processes require funds, time and expensive facilities, while numerical simulations and mathematical models can improve the efficiency of using the research results. It also provides high level of prediction accuracy and the basis for novel research directions.
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