東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Prediction of variation in dimension...

Pandya, Rajen Subhashchandra.

FindBook

Google Book

Amazon

博客來

Prediction of variation in dimensional tolerance due to sheet metal hydroforming using finite element analysis.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Prediction of variation in dimensional tolerance due to sheet metal hydroforming using finite element analysis./
作者:	Pandya, Rajen Subhashchandra.
面頁冊數:	93 p.
附註:	Adviser: Behnam Bahr.
Contained By:	Masters Abstracts International45-02.
標題:	Engineering, Aerospace. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439070
ISBN:	9780542949586

Prediction of variation in dimensional tolerance due to sheet metal hydroforming using finite element analysis.
Pandya, Rajen Subhashchandra.

Prediction of variation in dimensional tolerance due to sheet metal hydroforming using finite element analysis. - 93 p.

Adviser: Behnam Bahr.

Thesis (M.S.)--Wichita State University, 2006.

Hydroforming of aluminum sheets is very important in the aircraft industry, due to the advantages of less wrinkling and cost effectiveness. Numerous research has been conducted in this field, which deals with the development of methods and tools to control accuracy of the bend and prediction of the springback after the sheet metal has been formed.

ISBN: 9780542949586Subjects--Topical Terms:

1018395
Engineering, Aerospace.

Prediction of variation in dimensional tolerance due to sheet metal hydroforming using finite element analysis.
LDR:02507nam 2200313 a 45 001 974052
005 20110928
008 110928s2006 eng d
020 $a 9780542949586
035 $a (UMI)AAI1439070
035 $a AAI1439070
040 $a UMI $c UMI
100 1 $a Pandya, Rajen Subhashchandra. $3 1297991
245 1 0 $a Prediction of variation in dimensional tolerance due to sheet metal hydroforming using finite element analysis.
300 $a 93 p.
500 $a Adviser: Behnam Bahr.
500 $a Source: Masters Abstracts International, Volume: 45-02, page: 1054.
502 $a Thesis (M.S.)--Wichita State University, 2006.
520 $a Hydroforming of aluminum sheets is very important in the aircraft industry, due to the advantages of less wrinkling and cost effectiveness. Numerous research has been conducted in this field, which deals with the development of methods and tools to control accuracy of the bend and prediction of the springback after the sheet metal has been formed.
520 $a Rivets are the most commonly used fasteners to fit together the subassemblies of the aircraft. The holes for riveting are punched after any forming operation due to the tensile and compressive deformations along the thickness of the sheet metal, which can affect the dimension and position accuracy of the hole. This incurs more cost and time due to the development of special dies for accurately punched holes. It is necessary to develop a method for predicting variation in the holes, which will increase the cost effectiveness of the process.
520 $a In this research, sheet metal with pre-drilled holes was evaluated for a bending operation using a hydroforming technique. Sheet metal with a variety of thicknesses, bending radii, and bending angles was evaluated. Variation in the dimensional tolerance was attained using the minimum radial separation method. A dataset of dimensional variation in the holes was developed and used for development of the artificial neural network, which was able to predict the dimensional variation of the hole if an unknown pattern of inputs was provided. This study presents the prediction of the dimensional variation of holes due to sheet metal bending using the hydroforming technique.
590 $a School code: 0260.
650 4 $a Engineering, Aerospace. $3 1018395
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, Mechanical. $3 783786
690 $a 0538
690 $a 0540
690 $a 0548
710 2 $a Wichita State University. $3 1022756
773 0 $t Masters Abstracts International $g 45-02.
790 $a 0260
790 1 0 $a Bahr, Behnam, $e advisor
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1439070