Optimization of Fixture Layout by means of the Genetic Algorithm

T. Aoyama; Y. Kakinuma; I. Inasaki

doi:10.1016/B978-008045157-2/50080-8

Optimization of Fixture Layout by means of the Genetic Algorithm

T. Aoyama, Y. Kakinuma, I. Inasaki

Research output: Chapter in Book/Report/Conference proceeding › Chapter

6 Citations (Scopus)

Abstract

The fixturing process for holding and locating workpieces on machine tools is essential in manufacturing systems. This process is one of the important factors affecting machining accuracy and has so far been carried out manually by skilled workers. This chapter proposes a new fixturing support system. The elastic deformation of the workpiece caused by the fixturing forces is analyzed by the finite element method, and the optimum fixturing position, which results in the minimum form error of the surface to be machined, is determined. The genetic algorithm is applied to the optimization process of the fixturing condition. © 2006

Original language	English
Title of host publication	Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006
Publisher	Elsevier Ltd
Pages	448-453
Number of pages	6
ISBN (Print)	9780080451572
DOIs	https://doi.org/10.1016/B978-008045157-2/50080-8
Publication status	Published - 2006

ASJC Scopus subject areas

Computer Science(all)

Access to Document

10.1016/B978-008045157-2/50080-8

Cite this

@inbook{c18b492c019c47f99ec468cb490f8d9a,

title = "Optimization of Fixture Layout by means of the Genetic Algorithm",

abstract = "The fixturing process for holding and locating workpieces on machine tools is essential in manufacturing systems. This process is one of the important factors affecting machining accuracy and has so far been carried out manually by skilled workers. This chapter proposes a new fixturing support system. The elastic deformation of the workpiece caused by the fixturing forces is analyzed by the finite element method, and the optimum fixturing position, which results in the minimum form error of the surface to be machined, is determined. The genetic algorithm is applied to the optimization process of the fixturing condition. {\textcopyright} 2006",

author = "T. Aoyama and Y. Kakinuma and I. Inasaki",

year = "2006",

doi = "10.1016/B978-008045157-2/50080-8",

language = "English",

isbn = "9780080451572",

pages = "448--453",

booktitle = "Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006",

publisher = "Elsevier Ltd",

}

TY - CHAP

T1 - Optimization of Fixture Layout by means of the Genetic Algorithm

AU - Aoyama, T.

AU - Kakinuma, Y.

AU - Inasaki, I.

PY - 2006

Y1 - 2006

N2 - The fixturing process for holding and locating workpieces on machine tools is essential in manufacturing systems. This process is one of the important factors affecting machining accuracy and has so far been carried out manually by skilled workers. This chapter proposes a new fixturing support system. The elastic deformation of the workpiece caused by the fixturing forces is analyzed by the finite element method, and the optimum fixturing position, which results in the minimum form error of the surface to be machined, is determined. The genetic algorithm is applied to the optimization process of the fixturing condition. © 2006

AB - The fixturing process for holding and locating workpieces on machine tools is essential in manufacturing systems. This process is one of the important factors affecting machining accuracy and has so far been carried out manually by skilled workers. This chapter proposes a new fixturing support system. The elastic deformation of the workpiece caused by the fixturing forces is analyzed by the finite element method, and the optimum fixturing position, which results in the minimum form error of the surface to be machined, is determined. The genetic algorithm is applied to the optimization process of the fixturing condition. © 2006

UR - http://www.scopus.com/inward/record.url?scp=84882822536&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84882822536&partnerID=8YFLogxK

U2 - 10.1016/B978-008045157-2/50080-8

DO - 10.1016/B978-008045157-2/50080-8

M3 - Chapter

AN - SCOPUS:84882822536

SN - 9780080451572

SP - 448

EP - 453

BT - Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006

PB - Elsevier Ltd

ER -

Optimization of Fixture Layout by means of the Genetic Algorithm

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this