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Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal

During laser milling, the objective is not always to maximize the material removal rate (MRR). Milling of new material with targeted MRR is challenging without prior knowledge and established sets of laser parameters. The laser milling performance has been evaluated for three important aerospace all...

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Autores principales: Ahmed, Naveed, Rafaqat, Madiha, Ishfaq, Kashif, Ur Rehman, Ateekh, Hassan, Adeel, Umer, Usama, Ragab, Adham Ezzat, Al-Zabidi, Ayoub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567257/
https://www.ncbi.nlm.nih.gov/pubmed/31126030
http://dx.doi.org/10.3390/ma12101674
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author Ahmed, Naveed
Rafaqat, Madiha
Ishfaq, Kashif
Ur Rehman, Ateekh
Hassan, Adeel
Umer, Usama
Ragab, Adham Ezzat
Al-Zabidi, Ayoub
author_facet Ahmed, Naveed
Rafaqat, Madiha
Ishfaq, Kashif
Ur Rehman, Ateekh
Hassan, Adeel
Umer, Usama
Ragab, Adham Ezzat
Al-Zabidi, Ayoub
author_sort Ahmed, Naveed
collection PubMed
description During laser milling, the objective is not always to maximize the material removal rate (MRR). Milling of new material with targeted MRR is challenging without prior knowledge and established sets of laser parameters. The laser milling performance has been evaluated for three important aerospace alloys, i.e., titanium alloy, nickel alloy and aluminum alloy using the response surface method experimental plan (54 experiments for each alloy). Parametric effects of five important laser parameters, statistical analysis (main effects, interaction effects, strength and direction of effects), mathematical modeling and optimality search is conducted for the said alloys. Under the non-optimized laser parameters, the actual MRR significantly varies from the targeted MRR. Variation in the aluminum alloy is at the top as compared to the other two alloys. Among other significant terms, three terms have the largest effect on MRR in the case of TiA, two terms in the case of NiA, and five terms in the case of AlA. Under the optimized sets of laser parameters, the actual material removal highly close to the desired level (100%) can be achieved with minimum variation in all the three alloys. Mathematical models proposed here have the capability to well predict material removal prior to the actual machining of Ti6Al4V, Inconel 718 and AA 2024.
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spelling pubmed-65672572019-06-17 Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal Ahmed, Naveed Rafaqat, Madiha Ishfaq, Kashif Ur Rehman, Ateekh Hassan, Adeel Umer, Usama Ragab, Adham Ezzat Al-Zabidi, Ayoub Materials (Basel) Article During laser milling, the objective is not always to maximize the material removal rate (MRR). Milling of new material with targeted MRR is challenging without prior knowledge and established sets of laser parameters. The laser milling performance has been evaluated for three important aerospace alloys, i.e., titanium alloy, nickel alloy and aluminum alloy using the response surface method experimental plan (54 experiments for each alloy). Parametric effects of five important laser parameters, statistical analysis (main effects, interaction effects, strength and direction of effects), mathematical modeling and optimality search is conducted for the said alloys. Under the non-optimized laser parameters, the actual MRR significantly varies from the targeted MRR. Variation in the aluminum alloy is at the top as compared to the other two alloys. Among other significant terms, three terms have the largest effect on MRR in the case of TiA, two terms in the case of NiA, and five terms in the case of AlA. Under the optimized sets of laser parameters, the actual material removal highly close to the desired level (100%) can be achieved with minimum variation in all the three alloys. Mathematical models proposed here have the capability to well predict material removal prior to the actual machining of Ti6Al4V, Inconel 718 and AA 2024. MDPI 2019-05-23 /pmc/articles/PMC6567257/ /pubmed/31126030 http://dx.doi.org/10.3390/ma12101674 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahmed, Naveed
Rafaqat, Madiha
Ishfaq, Kashif
Ur Rehman, Ateekh
Hassan, Adeel
Umer, Usama
Ragab, Adham Ezzat
Al-Zabidi, Ayoub
Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal
title Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal
title_full Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal
title_fullStr Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal
title_full_unstemmed Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal
title_short Comparison of Laser Milling Performance against Difficult-To-Cut Alloys: Parametric Significance, Modeling and Optimization for Targeted Material Removal
title_sort comparison of laser milling performance against difficult-to-cut alloys: parametric significance, modeling and optimization for targeted material removal
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567257/
https://www.ncbi.nlm.nih.gov/pubmed/31126030
http://dx.doi.org/10.3390/ma12101674
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