د. عزالدينكنشيل

قسم الهندسة الميكانيكية والصناعية كلية الهندسة

الاسم الكامل

د. عزالدين محمد صالح كنشيل

المؤهل العلمي

دكتوراة

الدرجة العلمية

أستاذ مشارك

ملخص

عزالدين كنشيل هو احد اعضاء هيئة التدريس بقسم الهندسة الميكانيكية والصناعية بكلية الهندسة. يعمل السيد عزالدين كنشيل بجامعة طرابلس كـأستاذ مشارك منذ 2016-05-01 وله العديد من المنشورات العلمية في مجال تخصصه

معلومات الاتصال

المؤهلات

دكتوراة

قياسات - تحكم الي- ميكاترونكس - روبوتات
الجامعة المالاوية - كوالالمبور ماليزيا
10 ,2012

الخبرة

عضو هيئة تدريس - الجامعة المالاوية - كوالالمبور ماليزيا

استاذ زائر و باحث
2008 - 2011

عضو هيئة تدريس - كلية الهندسة تاجوراء

عضو هيئة تدريس
2000 - 2014

المنشورات

Bone breakthrough detection for orthopedic robot-assisted surgery

In this paper, an orthopedic robot-assisted drilling system is presented. The system consists of a six degree of freedom robot manipulator equipped with a multi axis force/torque sensor and an electrical drilling tool attached to the robot end-effector. The purpose of the system is to enable the orthopedic surgeons to drill the patient bone using the robot manipulator and automatically detect the bone breakthrough during bone fixation process. The breakthrough is detected by measuring the forces acting on the drilling tool tip. This will reduce/eliminate the need for X-rays imaging used in traditional bone fixation. The system has been tested on sheep bone. The result has shown that, the bone drilling operation can be handled by a robot manipulator to improve the quality of the drilling operation. With this system, the bone breakthrough can be easily detected and further damage of the healthy patient tissue would be avoided. This will lead to fast patient recovery and short hospital stay.
Azeddien Kinsheel, Zahari Taha, J. Lee(1-2008)


System identification and control of robot manipulator based on fuzzy adaptive differential evolution algorithm

A requirement for new robotic manipulators is the ability to detect and manipulate objects in their environments. Robotic manipulators are highly nonlinear systems, and an accurate mathematical model is difficult to obtain using conventional techniques. Therefore, an efficient technique is required to deal with these types of complex and dynamic systems. Differential Evolution (DE) algorithm is a very powerful optimization technique and has become popular in many fields. Arguably, it is now one of the most predominant stochastic algorithms for real-parameter optimization. However, DE is very sensitive to its control parameters of the mutation operation (F) and crossover operation (CR) in such a way that their fine tuning greatly affect DE performance. Fuzzy Adaptive DE (FADE) algorithm is one of the well known adaptive DE variants that show superiority and reliability in solving different types of optimization
Azeddien Kinsheel, Rawaa Dawoud Al-Dabbagh, Saad Mekhilef, Mohd Sapiyan Baba, Shahaboddin Shamshirband(12-2014)
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