A novel multilayer neural network model for heat treatment of electroless Ni-P coatings

Vaghefi, Sayed Yousef Monir; Vaghefi, Sayed Mahmoud Monir

doi:10.1109/ijcnn.2011.6033621

Cited by 2 publications

(2 citation statements)

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“…network model with two hidden layers for the prediction of the phosphorus content of electroless Ni-P deposits [57] . This model can be used for adjusting the phosphorus content of electroless Ni-P deposits in a variety of industries and the same group also modeled a process for adjusting the hardness of electroless Ni-P deposits [58] . The newer developments in the polyalloy and composite Ni-P coatings will be reviewed in Sections 3.5 and 5, respectively.…”

Section: Monir Vaghefi and Monir Vaghefi Developed A Multilayer Feed mentioning

confidence: 99%

Electroless nickel, alloy, composite and nano coatings – A critical review

Sudagar¹,

Lian²,

Sha³

2013

Journal of Alloys and Compounds

765

367

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The development of metal deposition processes based on electroless nickel, alloy and composite coatings on various surfaces has witnessed a surge in interest among researchers, with many recent applications made possible from many excellent properties. In recent years, these coatings have shown promising corrosion and wear resistance properties and large number of newer developments became most important from macro to nano level 1 applications. After a brief review of the fundamental aspects underlying the coating processes, this paper discusses in detail about different electroless nickel alloy, composite, nano plating, bath techniques, preparation, characterization, new depositing mechanism and their recent applications, including brief notes on difficult substrate and waste treatment for green environment. Emphasis will be on to their recent progress, which will be discussed in detail and critically reviewed.

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Section: Monir Vaghefi and Monir Vaghefi Developed A Multilayer Feed mentioning

confidence: 99%

Electroless nickel, alloy, composite and nano coatings – A critical review

Sudagar¹,

Lian²,

Sha³

2013

Journal of Alloys and Compounds

765

367

View full text Add to dashboard Cite

show abstract

“…Some instances of the use of artificial neural network (ANN) for the modeling of crystallization temperature, plating rate and phosphorus content have been reported [25][26][27][28][29]. Hardness prediction model for Ni-P coatings considering heat treatment temperature and its duration, as well as the phosphorus content has been elaborated by Vaghefi and Vaghefi [30]. Fuzzy logic is seen to be quite efficient in relating the complex wear phenomenon with the tribological test parameters for Ni-P coatings [13].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Wear Behavior of Electroless Ni-P-W Coating under Dry and Lubricated Conditions Using RSM and Fuzzy Logic

Mukhopadhyay¹,

Duari²,

Barman³

et al. 2016

Port. Electrochim. Acta

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The present work aims to investigate and correlate the wear behavior of electroless NiP -W coating under dry and lubricated conditions with the tribological testing parameters. A pin-on-disc configuration test setup is used for the same. Taguchi's orthogonal design of experiments technique is used to carry out the experiments. Both response surface and fuzzy rule based models are seen to be effective in determining the complex interrelationship between the wear depth of the coatings and the test parameters, namely applied normal load, sliding speed and sliding duration. The coefficient of determination for fuzzy logic based predictions is seen to be higher than the regression predicted ones, indicating better modeling capabilities of the artificial intelligence technique. ANOVA results reveal that the wear depth is mostly influenced by sliding speed followed by applied normal load and sliding duration for both dry and lubricated conditions. Coating composition, phase transformation and microstructure studies are undertaken to analyze their effects on the wear behavior. Abrasive wear mechanism is seen to be the predominating under both dry and lubricated condition. The coatings are seen to suffer more wear under dry sliding condition compared to lubricated environment.

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A novel multilayer neural network model for heat treatment of electroless Ni-P coatings

Cited by 2 publications

References 13 publications

Electroless nickel, alloy, composite and nano coatings – A critical review

Electroless nickel, alloy, composite and nano coatings – A critical review

Investigation of Wear Behavior of Electroless Ni-P-W Coating under Dry and Lubricated Conditions Using RSM and Fuzzy Logic

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