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Predictive modeling, simulation, and optimization of laser processing techniques : = UV nanosecond-pulsed laser micromachining of polymers and selective laser melting of powder metals.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Predictive modeling, simulation, and optimization of laser processing techniques :/
Reminder of title:	UV nanosecond-pulsed laser micromachining of polymers and selective laser melting of powder metals.
Author:	Criales Escobar, Luis Ernesto.
Description:	1 online resource (301 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Contained By:	Dissertation Abstracts International78-04B(E).
Subject:	Industrial engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9781369349856

Predictive modeling, simulation, and optimization of laser processing techniques : = UV nanosecond-pulsed laser micromachining of polymers and selective laser melting of powder metals.
Criales Escobar, Luis Ernesto.

Predictive modeling, simulation, and optimization of laser processing techniques :UV nanosecond-pulsed laser micromachining of polymers and selective laser melting of powder metals. - 1 online resource (301 pages)

Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

One of the most frequently evolving areas of research is the utilization of lasers for micro-manufacturing and additive manufacturing purposes. The use of laser beam as a tool for manufacturing arises from the need for flexible and rapid manufacturing at a low-to-mid cost. Laser micro-machining provides an advantage over mechanical micro-machining due to the faster production times of large batch sizes and the high costs associated with specific tools. Laser based additive manufacturing enables processing of powder metals for direct and rapid fabrication of products. Therefore, laser processing can be viewed as a fast, flexible, and cost-effective approach compared to traditional manufacturing processes.

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

Mode of access: World Wide Web

ISBN: 9781369349856Subjects--Topical Terms:

679492
Industrial engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Predictive modeling, simulation, and optimization of laser processing techniques : = UV nanosecond-pulsed laser micromachining of polymers and selective laser melting of powder metals.
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245 1 0 $a Predictive modeling, simulation, and optimization of laser processing techniques : $b UV nanosecond-pulsed laser micromachining of polymers and selective laser melting of powder metals.
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500 $a Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
500 $a Adviser: Tugrul Ozel.
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504 $a Includes bibliographical references
520 $a One of the most frequently evolving areas of research is the utilization of lasers for micro-manufacturing and additive manufacturing purposes. The use of laser beam as a tool for manufacturing arises from the need for flexible and rapid manufacturing at a low-to-mid cost. Laser micro-machining provides an advantage over mechanical micro-machining due to the faster production times of large batch sizes and the high costs associated with specific tools. Laser based additive manufacturing enables processing of powder metals for direct and rapid fabrication of products. Therefore, laser processing can be viewed as a fast, flexible, and cost-effective approach compared to traditional manufacturing processes.
520 $a Two types of laser processing techniques are studied: laser ablation of polymers for micro-channel fabrication and selective laser melting of metal powders. Initially, a feasibility study for laser-based micro-channel fabrication of poly(dimethylsiloxane) (PDMS) via experimentation is presented. In particular, the effectiveness of utilizing a nanosecond-pulsed laser as the energy source for laser ablation is studied. The results are analyzed statistically and a relationship between process parameters and micro-channel dimensions is established. Additionally, a process model is introduced for predicting channel depth. Model outputs are compared and analyzed to experimental results. The second part of this research focuses on a physics-based FEM approach for predicting the temperature profile and melt pool geometry in selective laser melting (SLM) of metal powders. Temperature profiles are calculated for a moving laser heat source to understand the temperature rise due to heating during SLM. Based on the predicted temperature distributions, melt pool geometry, i.e. the locations at which melting of the powder material occurs, is determined. Simulation results are compared against data obtained from experimental Inconel 625 test coupons fabricated at the National Institute for Standards & Technology via response surface methodology techniques. The main goal of this research is to develop a comprehensive predictive model with which the effect of powder material properties and laser process parameters on the built quality and integrity of SLM-produced parts can be better understood. By optimizing process parameters, SLM as an additive manufacturing technique is not only possible, but also practical and reproducible.
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538 $a Mode of access: World Wide Web
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