Department of Aeronautical Engineering

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About Department of Aeronautical Engineering

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17

Publications

18

Academic Staff

380

Students

487

Graduates

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Who works at the Department of Aeronautical Engineering

Department of Aeronautical Engineering has more than 18 academic staff members

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Mr. Ahmad Abdussalam Mohamed Almkhlufi

التعليم والمؤهلات:
• بكالوريوس الهندسة من كلية الهندسة – جامعة طرابلس.
• ماجستير الهندسة من كلية الهندسة – جامعة طرابلس.

البحوث المنشورة:

1. “The development of engineering education to meet the needs of the community”, Saleh R. Gashoot and Ahmad A. Al-Makhloufi, Third forum on engineering education, Building partnership with government, industry and society, Sharjah, United Arab Emirates, 14-15 October 2003. [In Arabic Language].
2. “Studying the effect of the shape on the performance of the Darrieus rotor”, Ali M. Elmabrok and Ahmad A. Al-Makhlufi, World renewable energy and environment conference (2006 Tripoli-Libya)
3. “Evaluation of Fuzzy Model Reference Learning Control for Yaw angle control”, Ahmad A. Makhlufi, Abdulhamid A. Ghmmam, and ATahir EL Hashan, International ICASAT2007 conference, Tripoli-Libya, Apr. 2007.
4. “Buckling of plates on a foundation with different types of sides support”, Dr. Ali N. Suri, Ahmad A. Al-Makhlufi, ICMAE 2013: International Conference on Mechanical and Aerospace Engineering, Bangkok, Thailand, December, 24-25, 2013.
5. “Local buckling of web-core and foam-core sandwich panels”, Dr. Ali N. Suri, Ahmad A. Al-Makhlufi, ICAMAME 2014: XII International Conference on Aerospace, Mechanical, Automotive and Materials Engineering, Dubai, UAE, April, 8-9, 2014.
6. “Aircraft Motion Simulation in Time Domain- A Useful Tool in Flight Mechanics”, Abdulhamid A. Ghmmam and Ahmed A. Makhlufi, ICEER2014-McMaster; International Conference on Engineering Education and Research, Hamilton, Canada, August 24-26, 2014.
7. Abdulhamid A. Ghmmam, Saad E. Issa and Ahmed A. Makhlufi, “Training Aircraft Design and Development Program: Towards Technology Transfer”, International Conference on Mechanical and Aerospace Engineering; ICMAE 2017, Toronto, Canada, May 29-30, 2017.

Publications

Some of publications in Department of Aeronautical Engineering

Developing the engineering education to fulfill the society needs

Not exist
Saleh R. Abdussalam Gashoot, Ahmad A. Al-Makhloufi(10-2003)
Publisher's website

Influence of Input Velocity Data on Wind Energy Potential Estimation

يعتمد البدء في إقامة مشروع لطاقة الرياح في موقع ما على تقدير الطاقة المحتمل إنتاجها هناك. ولعل من أهم البيانات المدخلة للوصول إلى هكذا تقديرات هي سرعة الرياح في الموقع. من المعروف أن الغرض الأساس من بيانات سرعات الرياح التي يقوم برصدها المركز الوطني للأرصاد الجوية كل ثلاثة ساعات هو استخدامها في مجال التنبؤات الجوية. وحيث أن سرعات الرياح تعد دالة قوية في الزمن، عليه فإن طول الفترة الزمنية ( 3 ساعات) بين كل رصدتين متتاليتين قد يكون له تأثير مباشر على تقديرات طاقة الرياح المحتملة. وقد تم في إطار هذه الدراسة تحديد ما إذا كان استخدام بيانات سرعة الرياح الذي قام برصدها المركز في موقع محدد يؤدي إلى الحصول على تقديرات صحيحة لطاقة الرياح المحتملة هناك. وتشير نتائج هذه الدراسة إلى أن طاقة الرياح المرتقب إنتاجها سنويا استنادا إلى بيانات سرعة الرياح الذي قام برصدها المركز تقل بنسبة تصل إلى 22% عن نظيرها عند استخدام رصدات لسرعة الرياح في صورة متوسط لكل عشرة دقائق تم الحصول عليها من الجهاز التنفيذي للطاقات المتجددة. Abstract The decision to establish a wind energy project at a site depends, among other things, on the estimated energy expected to be produced there. Among the important input data for reaching such estimate is wind speed data at the site. The wind velocity data available from the National Center for Meteorology (NCM) come in the form of 3-hourly readings or measurements. This data is essentially collected for climatology purposes. It is well known that wind velocity is a strong function of time. Due to this functional relationship, it is expected that the above 3-hour readings will have an effect on the estimated wind energy yield. It was therefore sought in this study to determine whether the use of wind speed data from NCM in the 3-hour format at a certain site would or would not lead to correct estimates of expected wind energy yield there. Results of this study indicate that the annual expected wind energy yield based on the NCM data is lower by up to 22% than the corresponding value based on the 10-minutes average wind velocity data made available by the Renewable Energy Authority of Libya.
تركية محمد موسي (2015)
Publisher's website

Experimental study of stiffness degradation and crack growth in composite materials

Not exist
Saleh R. Abdussalam Gashoot, M. L. Ayari(6-1998)
Publisher's website