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Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique
المؤلفون المشاركون
Soundararajan, R.
Ramesh, A.
Sivasankaran, S.
Sathishkumar, A.
المصدر
Advances in Materials Science and Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-05
دولة النشر
مصر
عدد الصفحات
16
الملخص EN
Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical properties of A413 aluminum alloy produced by squeeze casting route.
The experiments are carried out with different controlled input variables such as squeeze pressure, die preheating temperature, and melt temperature as per Full Factorial Design (FFD).
The accounted absolute process variables produce a casting with pore-free and ideal fine grain dendritic structure resulting in good mechanical properties such as hardness, ultimate tensile strength, and yield strength.
As a primary objective, a feed forward back propagation ANN model has been developed with different architectures for ensuring the definiteness of the values.
The developed model along with its predicted data was in good agreement with the experimental data, inferring the valuable performance of the optimal model.
From the work it was ascertained that, for castings produced by squeeze casting route, the ANN is an alternative method for predicting the mechanical properties and appropriate results can be estimated rather than measured, thereby reducing the testing time and cost.
As a secondary objective, quantitative and statistical analysis was performed in order to evaluate the effect of process parameters on the mechanical properties of the castings.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Soundararajan, R.& Ramesh, A.& Sivasankaran, S.& Sathishkumar, A.. 2015. Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique. Advances in Materials Science and Engineering،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1053636
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Soundararajan, R.…[et al.]. Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique. Advances in Materials Science and Engineering No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1053636
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Soundararajan, R.& Ramesh, A.& Sivasankaran, S.& Sathishkumar, A.. Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique. Advances in Materials Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1053636
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1053636
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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