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العنوان
Analytical and Experimental Study of Optimum Cutting Conditions in Ultra-Precision Turning under Uncertainty Errors /
المؤلف
Elsanabary, Samar Abbas Ibrahim.
هيئة الاعداد
باحث / سمر عباس إبراهيم السنباري
مشرف / شعبان محمد إبراهيم عبده
مشرف / محمد عبد السلام علي أحمد
مشرف / أحمد عبد الرخمن القصير
مشرف / صابر محمود عبد ربه
مناقش / عبد القادر عبد الكريم إبراهيم
مناقش / رمضان إبراهيم السيد سعودي
الموضوع
Experimental Validation.
تاريخ النشر
2016.
عدد الصفحات
I - XIII, 177 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الميكانيكية
تاريخ الإجازة
20/3/2016
مكان الإجازة
جامعة بورسعيد - كلية الهندسة ببورسعيد - هندسة الإنتاج والتصميم الميكانيكي
الفهرس
Only 14 pages are availabe for public view

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Abstract

In this thesis, the underlying uncertainties of ultra-precision turning have been assessed and controlled for the optimal possible performance of the process. The research begins by a theoretical study that involves a comparative assessment of three different optimization techniques to optimization turning operation. Then, a modeling approach was proposed to predict the surface generation process in ultra-precision turning. The model considers the kinematic parameters and the effects the meninimum chip thickness and elastic recovery alongside their associated uncertainty when machining dual-phase materials. Furthermore, the theoretical study was followed by an experimental validated via machining two different dual-phase materials, brass 6040 and medium carbon steel AISI 1045, under a range of cutting parameters. The roughness of the generated surface was measured and compared with those estimated by the model under similar conditions. After conducting a calibration procedure for the proposed model using the experimental results, lower errors were obtained that varied between 16.48% and 23.3% however, by excluding the results at very low feed to deduct its unpredictable influence, the average errors for brass 6040 substantially reduces to about 11.18% for medium carbon steel AISI 1045.

In this thesis, the underlying uncertainties of ultra-precision turning have been assessed and controlled for the optimal possible performance of the process. The research begins by a theoretical study that involves a comparative assessment of three different optimization techniques to optimization turning operation. Then, a modeling approach was proposed to predict the surface generation process in ultra-precision turning. The model considers the kinematic parameters and the effects the meninimum chip thickness and elastic recovery alongside their associated uncertainty when machining dual-phase materials. Furthermore, the theoretical study was followed by an experimental validated via machining two different dual-phase materials, brass 6040 and medium carbon steel AISI 1045, under a range of cutting parameters. The roughness of the generated surface was measured and compared with those estimated by the model under similar conditions. After conducting a calibration procedure for the proposed model using the experimental results, lower errors were obtained that varied between 16.48% and 23.3% however, by excluding the results at very low feed to deduct its unpredictable influence, the average errors for brass 6040 substantially reduces to about 11.18% for medium carbon steel AISI 1045.