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

Intelligent scanning in selective la...

Chen, Kenwei.

FindBook

Google Book

Amazon

博客來

Intelligent scanning in selective laser sintering.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent scanning in selective laser sintering./
作者:	Chen, Kenwei.
面頁冊數:	155 p.
附註:	Source: Dissertation Abstracts International, Volume: 60-12, Section: B, page: 6323.
Contained By:	Dissertation Abstracts International60-12B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9956971
ISBN:	0599605537

Intelligent scanning in selective laser sintering.
Chen, Kenwei.

Intelligent scanning in selective laser sintering. - 155 p.

Source: Dissertation Abstracts International, Volume: 60-12, Section: B, page: 6323.

Thesis (Ph.D.)--The University of Texas at Austin, 1998.

Much research in Selective Laser Sintering (SLS) process is focused on improving the quality of built parts as well as the system performance, such as process speed. Shrinkage, curling, warpage, and growth (such as bottom surface growth called Bonus-Z) are quality detractors. Curling results in upward warping of the boundaries when the temperature gradient is too large in the process. Bonus-Z primarily refers to undesired downward growth of layers or partial layers. Bonus-Z growth is specifically limited to the initial sintering areas in a layer, i.e., which have not been sintered in a previous layer. Bonus-Z also includes rough surfaces on the bottom layers/regions. Part growth/shrinkage in x and y dimensions has been well studied and software is available for compensation. However, the compensation is limited, because both growth and shrinkage usually depend on specific geometry (shapes) of the layer. The problem is generally more severe when small but close features are present in a layer.

ISBN: 0599605537Subjects--Topical Terms:

626642
Computer Science.

Intelligent scanning in selective laser sintering.
LDR:03055nam 2200325 a 45 001 929638
005 20110427
008 110427s1998 eng d
020 $a 0599605537
035 $a (UnM)AAI9956971
035 $a AAI9956971
040 $a UnM $c UnM
100 1 $a Chen, Kenwei. $3 1253125
245 1 0 $a Intelligent scanning in selective laser sintering.
300 $a 155 p.
500 $a Source: Dissertation Abstracts International, Volume: 60-12, Section: B, page: 6323.
500 $a Supervisors: Richard H. Crawford; Joseph J. Beaman.
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 1998.
520 $a Much research in Selective Laser Sintering (SLS) process is focused on improving the quality of built parts as well as the system performance, such as process speed. Shrinkage, curling, warpage, and growth (such as bottom surface growth called Bonus-Z) are quality detractors. Curling results in upward warping of the boundaries when the temperature gradient is too large in the process. Bonus-Z primarily refers to undesired downward growth of layers or partial layers. Bonus-Z growth is specifically limited to the initial sintering areas in a layer, i.e., which have not been sintered in a previous layer. Bonus-Z also includes rough surfaces on the bottom layers/regions. Part growth/shrinkage in x and y dimensions has been well studied and software is available for compensation. However, the compensation is limited, because both growth and shrinkage usually depend on specific geometry (shapes) of the layer. The problem is generally more severe when small but close features are present in a layer.
520 $a This work studies methods to reduce part curling, Bonus-Z and part shrinkage/growth, and to explore methods to build larger nylon parts within the current SLS stations. The research focuses on software issues to address these problems by developing intelligent scanning techniques, and then determining optimal values of laser parameters (such as laser power, scan step size and scan speed) for different layers and even different regions within the same layer. (In current SLS practice, these parameters are constant during a part build). A new Bonus-Z model has been developed in order to understand the problem and to compensate for bottom growth systematically.
520 $a In this dissertation, two kinds of powder, Nylon and TrueForm<super> TM</super>, are targeted for research in developing intelligent laser scanning methods. The goal is to make the SLS process ever better, cheaper, quicker, and more accurate (both in dimensions and geometric tolerances). The study also determines whether nylon parts can be built larger sizes within current SinterStations.
590 $a School code: 0227.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, System Science. $3 1018128
690 $a 0548
690 $a 0790
690 $a 0984
710 2 0 $a The University of Texas at Austin. $3 718984
773 0 $t Dissertation Abstracts International $g 60-12B.
790 $a 0227
790 1 0 $a Beaman, Joseph J., $e advisor
790 1 0 $a Crawford, Richard H., $e advisor
791 $a Ph.D.
792 $a 1998
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9956971