Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS

Razieh Khalifehzadeh; Saeed Forouzan; Hamed Arami; S. K. Sadrnezhaad

doi:10.1016/j.commatsci.2007.01.007

Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS

Razieh Khalifehzadeh, Saeed Forouzan, Hamed Arami, S. K. Sadrnezhaad

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

A neuro-fuzzy model was utilized to predict the hardness and porosity of NiTi shape memory alloy produced by vacuum sintering of powder mixture. Compaction pressure, sintering time and sintering temperature were chosen as input nodes. This procedure allowed successful prediction of porosity and hardness of the NiTi SMA samples. Absolute relative errors were at most 6.3% for hardness and 4.8% for porosity. Mean relative values were 3.4% for hardness and 3.3% for porosity. Results showed that the increasing of the values of input parameters affected outputs, linearly. The most significant parameters influencing the porosity content and the hardness of the under-vacuum combustion-synthesized NiTi specimens were sintering temperature and compaction pressure.

Original language	English (US)
Pages (from-to)	359-365
Number of pages	7
Journal	Computational Materials Science
Volume	40
Issue number	3
DOIs	https://doi.org/10.1016/j.commatsci.2007.01.007
State	Published - Sep 2007
Externally published	Yes

Keywords

ANFIS method
Combustion synthesis
Fuzzy clustering
NiTi
Powder metallurgy
Sintering
SMA

ASJC Scopus subject areas

General Computer Science
General Chemistry
General Materials Science
Mechanics of Materials
General Physics and Astronomy
Computational Mathematics

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10.1016/j.commatsci.2007.01.007

Cite this

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title = "Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS",

abstract = "A neuro-fuzzy model was utilized to predict the hardness and porosity of NiTi shape memory alloy produced by vacuum sintering of powder mixture. Compaction pressure, sintering time and sintering temperature were chosen as input nodes. This procedure allowed successful prediction of porosity and hardness of the NiTi SMA samples. Absolute relative errors were at most 6.3% for hardness and 4.8% for porosity. Mean relative values were 3.4% for hardness and 3.3% for porosity. Results showed that the increasing of the values of input parameters affected outputs, linearly. The most significant parameters influencing the porosity content and the hardness of the under-vacuum combustion-synthesized NiTi specimens were sintering temperature and compaction pressure.",

keywords = "ANFIS method, Combustion synthesis, Fuzzy clustering, NiTi, Powder metallurgy, Sintering, SMA",

author = "Razieh Khalifehzadeh and Saeed Forouzan and Hamed Arami and Sadrnezhaad, {S. K.}",

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T1 - Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS

AU - Khalifehzadeh, Razieh

AU - Forouzan, Saeed

AU - Arami, Hamed

AU - Sadrnezhaad, S. K.

PY - 2007/9

Y1 - 2007/9

N2 - A neuro-fuzzy model was utilized to predict the hardness and porosity of NiTi shape memory alloy produced by vacuum sintering of powder mixture. Compaction pressure, sintering time and sintering temperature were chosen as input nodes. This procedure allowed successful prediction of porosity and hardness of the NiTi SMA samples. Absolute relative errors were at most 6.3% for hardness and 4.8% for porosity. Mean relative values were 3.4% for hardness and 3.3% for porosity. Results showed that the increasing of the values of input parameters affected outputs, linearly. The most significant parameters influencing the porosity content and the hardness of the under-vacuum combustion-synthesized NiTi specimens were sintering temperature and compaction pressure.

AB - A neuro-fuzzy model was utilized to predict the hardness and porosity of NiTi shape memory alloy produced by vacuum sintering of powder mixture. Compaction pressure, sintering time and sintering temperature were chosen as input nodes. This procedure allowed successful prediction of porosity and hardness of the NiTi SMA samples. Absolute relative errors were at most 6.3% for hardness and 4.8% for porosity. Mean relative values were 3.4% for hardness and 3.3% for porosity. Results showed that the increasing of the values of input parameters affected outputs, linearly. The most significant parameters influencing the porosity content and the hardness of the under-vacuum combustion-synthesized NiTi specimens were sintering temperature and compaction pressure.

KW - ANFIS method

KW - Combustion synthesis

KW - Fuzzy clustering

KW - NiTi

KW - Powder metallurgy

KW - Sintering

KW - SMA

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Prediction of the effect of vacuum sintering conditions on porosity and hardness of porous NiTi shape memory alloy using ANFIS

Abstract

Keywords

ASJC Scopus subject areas

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