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Modelling and Prediction of Stainless Steel Clad Bead Geometry Deposited by GMAW Using Regression and Artificial Neural Network Models
المؤلفون المشاركون
المصدر
Advances in Mechanical Engineering
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-08-23
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
To improve the corrosion-resistant properties of carbon steel, usually cladding process is used.
It is a process of depositing a thick layer of corrosion-resistant material over carbon steel plate.
Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance.
Cladding these properties can be achieved with minimum cost.
The main problem faced in cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry.
This paper highlights an experimental study to predict various input process parameters (welding current, welding speed, gun angle, contact tip-to-work distance, and pinch) to get optimum dilution in stainless steel cladding of low carbon structural steel plates using Gas Metal Arc Welding (GMAW).
Experiments were conducted based on central composite rotatable design with full replication technique, and mathematical models were developed using multiple regression method.
The developed models have been checked for adequacy and significance.
Using Artificial Neural Network (ANN) the parameters were predicted, and percentage of error was calculated between predicted and actual values.
The direct and interaction effects of process parameters on clad bead geometry are presented in graphical form.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sreeraj, P.& Kannan, T.. 2012. Modelling and Prediction of Stainless Steel Clad Bead Geometry Deposited by GMAW Using Regression and Artificial Neural Network Models. Advances in Mechanical Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-456243
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sreeraj, P.& Kannan, T.. Modelling and Prediction of Stainless Steel Clad Bead Geometry Deposited by GMAW Using Regression and Artificial Neural Network Models. Advances in Mechanical Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-456243
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sreeraj, P.& Kannan, T.. Modelling and Prediction of Stainless Steel Clad Bead Geometry Deposited by GMAW Using Regression and Artificial Neural Network Models. Advances in Mechanical Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-456243
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-456243
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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