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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6567257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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