Evidence map›Paper›PMID 31126030›Full record

ArticleMaterials (Basel, Switzerland)2019

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

Naveed Ahmed, Madiha Rafaqat, Kashif Ishfaq, Ateekh Ur Rehman, Adeel Hassan, Usama Umer, Adham Ezzat Ragab, Ayoub Al-Zabidi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Naveed AhmedDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore- 54890, Pakistan. naveed527@gmail.com.ORCID 0000-0002-7752-7199
Madiha RafaqatDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore- 54890, Pakistan. Madiharafaqat@yahoo.com.
Kashif IshfaqDepartment of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore- 54890, Pakistan. kashifishfaq1@gmail.com.
Ateekh Ur RehmanDepartment of Industrial Engineering, College of Engineering, King Saud University, Riyadh-11421, Saudi Arabia. arehman@ksu.edu.sa.ORCID 0000-0003-2265-5828
Adeel HassanDepartment of Mechanical Engineering, University of Lahore, Islamabad 44000, Pakistan. adeel.hassan@me.uol.edu.pk.
Usama UmerAdvanced Manufacturing Institute, King Saud University, Riyadh-11421, Saudi Arabia. uumer@ksu.edu.sa.ORCID 0000-0001-8715-7905
Adham Ezzat RagabDepartment of Industrial Engineering, College of Engineering, King Saud University, Riyadh-11421, Saudi Arabia. aragab@ksu.edu.sa.
Ayoub Al-ZabidiGraduate Student, Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh-11421, Saudi Arabia. 439106932@student.ksu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

aluminum alloylaser millingmaterial removal ratemodelsMRR%MRRactnickel alloyoptimalitytitanium alloyvariation

Identifiers

PMID31126030
PMCPMC6567257

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.