کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5016353 1464967 2016 40 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A high efficient surface-based method for predicting part distortions in machining and shot peening
ترجمه فارسی عنوان
یک روش مبتنی بر سطح بالا برای پیش بینی تخریب قطعات در ماشینکاری و شستشوی شات
کلمات کلیدی
استرس باقی مانده، اعوجاج بخش ماشینکاری، ساچمه زنی، سطح منحنی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
The distortion of machined part caused by the introduction of surface residual stresses in machining and shot peening is a major concern in the manufacture of large structural components. Prediction of those distortions is the key to understand the distortion mechanism and derive optimized machining strategies. In this paper, a high efficient surface based method was proposed to predict the part distortion in machining and shot peening. In this method, the surface residual stress field is mathematically analyzed and equivalent to a group of face and edge loads. The part distortion problem is equivalent to an elastic deformation problem and is solved by the FEM software. The knowledge of surface differential geometry is used so that the method could handle part with curved surfaces. Compared with the existing method, the refinement of mesh in the surface-affected layer is not needed, which not only greatly decreases the workload and difficulty of mesh generation but also significantly reduces the amount of computation. What is more, the method was found to be particular fit for large curved surface parts such as propellers and blades. Software system was developed further to implement the method. Two examples were given to show the advantages of the proposed method. Finally, the method was verified by comparing the simulated results with the experimental data with a marine propeller example.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Mechanical Sciences - Volume 119, December 2016, Pages 125-143
نویسندگان
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