The influence of laser parameters on the hardness studies and surface analyses of laser alloyed stellite-6 coatings on AA 1200 alloy: a response surface model approach

O.S. Fatoba; A.P.I. Popoola; V.S. Aigbodion; T.G. Rambau

doi:10.1504/ijmmp.2017.092161

The influence of laser parameters on the hardness studies and surface analyses of laser alloyed stellite-6 coatings on AA 1200 alloy: a response surface model approach

International Journal of Microstructure and Materials Properties ◽

10.1504/ijmmp.2017.092161 ◽

2017 ◽

Vol 12 (5/6) ◽

pp. 319 ◽

Cited By ~ 5

Author(s):

O.S. Fatoba ◽

A.P.I. Popoola ◽

V.S. Aigbodion ◽

T.G. Rambau

Keyword(s):

Response Surface ◽

Response Surface Model ◽

Surface Model ◽

Laser Parameters ◽

Stellite 6 ◽

Model Approach

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The influence of laser parameters on the hardness studies and surface analyses of laser alloyed stellite-6 coatings on AA 1200 alloy: a response surface model approach

International Journal of Microstructure and Materials Properties ◽

10.1504/ijmmp.2017.10013345 ◽

2017 ◽

Vol 12 (5/6) ◽

pp. 319

Author(s):

V.S. Aigbodion ◽

T.G. Rambau ◽

O.S. Fatoba ◽

A.P.I. Popoola

Keyword(s):

Response Surface ◽

Response Surface Model ◽

Surface Model ◽

Laser Parameters ◽

Stellite 6 ◽

Model Approach

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A Response Surface Model Approach to Parameter Estimation of Reinforcement Learning for the Travelling Salesman Problem

Journal of Control Automation and Electrical Systems ◽

10.1007/s40313-018-0374-y ◽

2018 ◽

Vol 29 (3) ◽

pp. 350-359 ◽

Cited By ~ 1

Author(s):

André L. C. Ottoni ◽

Erivelton G. Nepomuceno ◽

Marcos S. de Oliveira

Keyword(s):

Parameter Estimation ◽

Reinforcement Learning ◽

Response Surface ◽

Travelling Salesman Problem ◽

Response Surface Model ◽

Surface Model ◽

Travelling Salesman ◽

Model Approach

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Influence of Process Parameters on the Mechanical Properties of Laser Deposited Ti-6Al-4V Alloy. Taguchi and Response Surface Model Approach

Materials Today Proceedings ◽

10.1016/j.matpr.2018.06.273 ◽

2018 ◽

Vol 5 (9) ◽

pp. 19181-19190 ◽

Cited By ~ 1

Author(s):

O.S. Fatoba ◽

E.T. Akinlabi ◽

S.A. Akinlabi ◽

M.F. Erinosho

Keyword(s):

Mechanical Properties ◽

Response Surface ◽

Process Parameters ◽

Response Surface Model ◽

Surface Model ◽

Influence Of Process Parameters ◽

Model Approach

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The direct determination of partial molar volumes and reaction volumes in ultra-dilute non-reactive and reactive multi-component systems using a combined spectroscopic and modified response surface model approach

Dalton Transactions ◽

10.1039/b515298d ◽

2006 ◽

pp. 1505 ◽

Cited By ~ 7

Author(s):

Martin Tjahjono ◽

Ayman D. Allian ◽

Marc Garland

Keyword(s):

Response Surface ◽

Direct Determination ◽

Partial Molar Volumes ◽

Response Surface Model ◽

Surface Model ◽

Molar Volumes ◽

Component Systems ◽

Reaction Volumes ◽

Model Approach

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Faculty Opinions recommendation of A response surface model approach for continuous measures of hypnotic and analgesic effect during sevoflurane-remifentanil interaction: quantifying the pharmacodynamic shift evoked by stimulation.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718287230.793492250 ◽

2014 ◽

Author(s):

Harald Ihmsen

Keyword(s):

Response Surface ◽

Analgesic Effect ◽

Response Surface Model ◽

Surface Model ◽

Continuous Measures ◽

Model Approach

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Reliability design optimization for a pressure shell based on a response surface model

Artificial Intelligence and Industrial Application ◽

10.2495/aiia140311 ◽

2015 ◽

Author(s):

J. Wang ◽

Y. J. Pang ◽

Z. Y. Yang ◽

L. H. Zhang

Keyword(s):

Design Optimization ◽

Response Surface ◽

Response Surface Model ◽

Surface Model ◽

Reliability Design

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Fuzzy multi-objective optimization of a train suspension using response surface model

10.2514/6.2000-4762 ◽

2000 ◽

Cited By ~ 5

Author(s):

Tael Lee ◽

Kwangki Lee ◽

Chankyoung Park

Keyword(s):

Response Surface ◽

Response Surface Model ◽

Surface Model ◽

Multi Objective Optimization ◽

Multi Objective

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Secondary Nozzle of HYLTE Nozzle Optimization Based on Response Surface Model

39th Plasmadynamics and Lasers Conference ◽

10.2514/6.2008-4005 ◽

2008 ◽

Author(s):

Jing Lei ◽

Lin Lai ◽

Zhen-guo Wang

Keyword(s):

Response Surface ◽

Response Surface Model ◽

Surface Model

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Faculty Opinions recommendation of Response surface model predictions of emergence and response to pain in the recovery room: An evaluation of patients emerging from an isoflurane and fentanyl anesthetic.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1165448.5099068 ◽

2010 ◽

Author(s):

James Szocik ◽

Roy Kukreja

Keyword(s):

Response Surface ◽

Recovery Room ◽

Response Surface Model ◽

Surface Model ◽

Model Predictions

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Optimization of the design of radar-absorbing composite structures using response surface model with verification using scanning free space measurement

Composite Structures ◽

10.1016/j.compstruct.2017.11.075 ◽

2018 ◽

Vol 186 ◽

pp. 106-113 ◽

Cited By ~ 4

Author(s):

Dae-Sung Son ◽

Jong-Min Hyun ◽

Jung-Ryul Lee ◽

Won-Jun Lee

Keyword(s):

Response Surface ◽

Free Space ◽

Composite Structures ◽

Response Surface Model ◽

Surface Model ◽

Space Measurement

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