End effector position calculation with the ANN for tapping machine
المؤلفون المشاركون
Akkas, Gullu
Korkut, Ihsan
Ozkan, Murat Tolga
المصدر
Journal of Engineering Research
العدد
المجلد 9، العدد 3 B (30 سبتمبر/أيلول 2021)، ص ص. 235-247، 13ص.
الناشر
جامعة الكويت مجلس النشر العلمي
تاريخ النشر
2021-09-30
دولة النشر
الكويت
عدد الصفحات
13
التخصصات الرئيسية
العلوم الهندسية والتكنولوجية (متداخلة التخصصات)
الملخص EN
Nowadays, manufacturers give importance to the production of machines that allow for faster production, reduce labor costs, and minimize operation errors to meet the increasing demand.
The search for such machines leads the manufacturing sector to automation.
In this study, an automation-supported tapping machine prototype was manufactured.
Kinematic equations were used for determining the location of the end effector in Cartesian space, whereas inverse kinematic equations were used for angular positions in joint space relative to positions in Cartesian space.
Based on the results of the kinematic equations, the data obtained in certain positions were taught to the system through ANN.
The position values for the angles known through the artificial intelligence algorithm were taught to the system.
Then, the position coordinates to be reached by this manipulator, which has four degrees of freedom, for the intermediate position coordinate values through artificial neural networks (ANN) have been obtained.
It is expected that the device controlled by artificial intelligence will not be affected by the variables in parameter or force changes requiring high working performance.
With the control of the positions through ANN, it has been ensured that the position control of the tapping robot manipulator is predicted based on artificial intelligence techniques depending on the angle values of the limbs, and the robot is prevented from going to a position that is on a different trajectory.
Accordingly, the robot arm has been made controllable with ANN techniques.
With ANN modelling, the position of the end point to perform the tapping process was estimated with high reliability.
For future research, a rough simulation was made to see whether the end point would go to a different position in space.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Akkas, Gullu& Korkut, Ihsan& Ozkan, Murat Tolga. 2021. End effector position calculation with the ANN for tapping machine. Journal of Engineering Research،Vol. 9, no. 3 B, pp.235-247.
https://search.emarefa.net/detail/BIM-1494998
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Akkas, Gullu…[et al.]. End effector position calculation with the ANN for tapping machine. Journal of Engineering Research Vol. 9, no. 3 B (Sep. 2021), pp.235-247.
https://search.emarefa.net/detail/BIM-1494998
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Akkas, Gullu& Korkut, Ihsan& Ozkan, Murat Tolga. End effector position calculation with the ANN for tapping machine. Journal of Engineering Research. 2021. Vol. 9, no. 3 B, pp.235-247.
https://search.emarefa.net/detail/BIM-1494998
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 246-247
رقم السجل
BIM-1494998
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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