A Neural Network Model for the Compressive Strength of a Hybrid LM6 Aluminium Alloy Composite | Zendy

N Chawla | Zendy; K K Chawla | Zendy; V Bhanu Prasad | Zendy; K Prasad | Zendy; A Kuruvilla | Zendy; A Pandey | Zendy; B Bhat | Zendy; Y Mahajan | Zendy; Y Sahin | Zendy; P Rohatgi | Zendy; R Guo | Zendy; B Keshavaram | Zendy; D Golden | Zendy; Kenneth Michael Oluwatosin Bodunrin | Zendy; Lesley Kanayo Alaneme | Zendy; Heath Chown | Zendy; V Monikandan | Zendy; M Joseph | Zendy; P Rajendrakumar | Zendy; C Velmurugan | Zendy; R Subramanian | Zendy; S Thirugnanam | Zendy; B Anandavel | Zendy; Vamsi Krishnaa | Zendy; V | Zendy; Anthony Xavior | Zendy; D Huda | Zendy; El Baradie | Zendy; M Hashmi | Zendy; Msj | Zendy; Su-Jien Chai-Yuan | Zendy; Linh | Zendy; S Tjong | Zendy; S Wu | Zendy; H Liao | Zendy; S Spuzic | Zendy; M Zec | Zendy; K Abhary | Zendy; Ghomaschi | Zendy; Reid | Zendy; S Basavarajappa | Zendy; G Chandramohan | Zendy; Paulo Davim | Zendy; J | Zendy; Zhenyu Jiang | Zendy; Lada Gyurova | Zendy; Zhong Zhang | Zendy; Klaus Friedrich | Zendy; K Schlarb | Zendy; B Nagaraj | Zendy; R Murugananth | Zendy; H Hafizpour | Zendy; M Sanjari | Zendy; A Simchi | Zendy; K Tee | Zendy; Lu | Zendy; Lai Mo | Zendy; J Hashim | Zendy; L Looney | Zendy; Msj Hashmi | Zendy; Rasit Koker | Zendy; Necat Altinkok | Zendy; Adem Demir | Zendy; N Selvakumar | Zendy; P Ganesan | Zendy; P Radha | Zendy; R Narayanasamy Andk | Zendy; Pandey | Zendy

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A Neural Network Model for the Compressive Strength of a Hybrid LM6 Aluminium Alloy Composite

Author(s) -

N Chawla,

K K Chawla,

V Bhanu Prasad,

K Prasad,

A Kuruvilla,

A Pandey,

B Bhat,

Y Mahajan,

Y Sahin,

P Rohatgi,

R Guo,

B Keshavaram,

D Golden,

Kenneth Michael Oluwatosin Bodunrin,

Lesley Kanayo Alaneme,

Heath Chown,

V Monikandan,

M Joseph,

P Rajendrakumar,

C Velmurugan,

R Subramanian,

S Thirugnanam,

B Anandavel,

Vamsi Krishnaa,

V,

Anthony Xavior,

D Huda,

El Baradie,

M Hashmi,

Msj,

Su-Jien Chai-Yuan,

Linh,

S Tjong,

S Wu,

H Liao,

S Spuzic,

M Zec,

K Abhary,

Ghomaschi,

Reid,

S Basavarajappa,

G Chandramohan,

Paulo Davim,

J,

Zhenyu Jiang,

Lada Gyurova,

Zhong Zhang,

Klaus Friedrich,

K Schlarb,

B Nagaraj,

R Murugananth,

H Hafizpour,

M Sanjari,

A Simchi,

K Tee,

Lu,

Lai Mo,

J Hashim,

L Looney,

Msj Hashmi,

Rasit Koker,

Necat Altinkok,

Adem Demir,

N Selvakumar,

P Ganesan,

P Radha,

R Narayanasamy Andk,

Pandey

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.b1123.0882s819

Subject(s) - materials science , composite material , aluminium alloy , aluminium , composite number , reinforcement , alloy , compressive strength , flexibility (engineering) , structural engineering , mathematics , statistics , engineering

Adding more than one reinforcement increases the flexibility in composites. The objective of the work is to develop a model to predict the compressive strength in an LM6 aluminium alloy reinforced with SiC and flyash particles. Central composite rotatable design had been employed to carry out the experiments with size and composition of the reinforcements as the parameters. ANN model developed has good prediction accuracy with error being less than 5%.

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