國立虎尾科技大學 |

Optimization of Process Parameters on a Selective Laser Sintering System for Improved Part Quality.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Optimization of Process Parameters on a Selective Laser Sintering System for Improved Part Quality./
作者:	Al-Enzi, Abass Maitham Jabber.
面頁冊數:	1 online resource (142 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Contained By:	Dissertation Abstracts International79-05B(E).
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355574272

Optimization of Process Parameters on a Selective Laser Sintering System for Improved Part Quality.
Al-Enzi, Abass Maitham Jabber.

Optimization of Process Parameters on a Selective Laser Sintering System for Improved Part Quality. - 1 online resource (142 pages)

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.

Thesis (D.E.M.S.)

Includes bibliographical references

Selective Laser Sintering (SLS) is an additive manufacturing technique that uses a high power laser to sinter or melt powder, layer by layer, to build 3D shapes. However, SLS-fabricated parts may suffer from porosity, cracks, and poor surface roughness that degrade part quality. A prototype SLS system is presented for laboratory use in process parameter optimization to improve the SLS manufacturing process.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355574272Subjects--Topical Terms:

561152
Engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Optimization of Process Parameters on a Selective Laser Sintering System for Improved Part Quality.
LDR:04796ntm a2200397Ki 4500 001 908770
005 20180330125242.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780355574272
035 $a (MiAaPQ)AAI10743283
035 $a (MiAaPQ)ltu:10140
035 $a AAI10743283
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Al-Enzi, Abass Maitham Jabber. $3 1179050
245 1 0 $a Optimization of Process Parameters on a Selective Laser Sintering System for Improved Part Quality.
264 0 $c 2018
300 $a 1 online resource (142 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
500 $a Adviser: James A. Mynderse.
502 $a Thesis (D.E.M.S.) $c Lawrence Technological University $d 2018.
504 $a Includes bibliographical references
520 $a Selective Laser Sintering (SLS) is an additive manufacturing technique that uses a high power laser to sinter or melt powder, layer by layer, to build 3D shapes. However, SLS-fabricated parts may suffer from porosity, cracks, and poor surface roughness that degrade part quality. A prototype SLS system is presented for laboratory use in process parameter optimization to improve the SLS manufacturing process.
520 $a The prototype SLS system was designed and built by specifications determined previously. The first part designed and built was the laser positioning system that is used to hold the high power laser and the laser positioning system to work in the X and Y plane. The second part of the design was to calculate the laser power needed to melt the powder. Properties of powder were used to calculate the laser power. A small lens was used to focus the laser beam diameter from 4 mm to 0.42 mm on matching specifications of the prototype SLS system. The powder distribution system was the third part of the design used to distribute powder on a printing table in the X and Y plane and built by using simple components. The fourth section was the system frame, made from steel. The structure was used to contain the laser positioning system, the powder distribution system, and powder table. The fifth part was the electronic and control system: one microprocessor, four motor drivers, four stepper motors, and a heater table were used as subsystems to build the prototype SLS system. A manufacturing program was used to produce the system language and to control manufacturing parameters to create parts.
520 $a Operation of the prototype SLS system was validated against the design specifications. The validation included the laser positioning system movement, laser beam diameter, laser power, forward step, side step, system vibration, and system control. An interface program with Arduino was used to check forward step and sidestep, and there was a small error found during the measuring process. The accelerometer was used to check vibration in the laser positioning system while running the system with different speeds. Also, a dial and indicator were used to measure runout on the thread bar of the laser positioning system in X and Y directions. Some types of sensors were used to measure laser power and laser beam diameter. These sensors cannot check high power lasers, so four filters were used to reduce the laser power. Encoder, MyRIO, and LabView programs were used to measure stepper motor speed. After the measuring process there was no deviation between speeds that fed the manufacturing program and speeds that were checked.
520 $a Finally, Response Surface Methodology was applied to build a regression model. Five variables at five levels were used in this research: forward step, side step, speed, platform temperature, and layer depth. These parameters were determined by doing some experiments in the prototype SLS system to determine which parameters will decrease or increase part defects. A total of 32 tests were used to determine mathematical models of SLS defects. A Genetic Algorithm method was used to determine the optimal solution to minimize crack width and surface roughness of the part. Results proved the manufacturing parameters affected crack width and surface roughness. The contour plot, interaction plot, and main effects plot were used to confirm and support the results.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Engineering. $3 561152
650 4 $a Mechanical engineering. $3 557493
650 4 $a Design. $3 595500
655 7 $a Electronic books. $2 local $3 554714
690 $a 0537
690 $a 0548
690 $a 0389
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Lawrence Technological University. $b Mechanical Engineering. $3 1179051
773 0 $t Dissertation Abstracts International $g 79-05B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10743283 $z click for full text (PQDT)