کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
781524 1464503 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An integrated prediction model including the cutting process for virtual product development of machine tools
ترجمه فارسی عنوان
یک مدل پیش بینی یکپارچه شامل فرایند برش برای توسعه محصول مجازی ابزارهای ماشین
کلمات کلیدی
مدل پیش بینی یکپارچه، مدل مکاترونیک، فرایند برش، توسعه محصول مجازی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


• An integrated dynamic model with the cutting process is proposed.
• The cutting forces and machining quality can be predicted accurately in design stage.
• This study clarifies the relationship between dynamic errors by high feed rate and the machining quality.
• The proposed model is validated by simulations and experiments results.

Recently activities for shortening the development time of machine tools and demands for high-value products are consistently being increased. As a result, many studies for predicting the performance in design stage have been conducted to solve these issues. So far, most manufacturers of machine tools have verified designs excluding the cutting process, even though the main performance is the machining quality of the workpiece. Therefore, it has been required to consider together the cutting process model for analyzing the machining quality before the manufacturing of the prototype. This paper presents an integrated dynamic model considering the all interaction of the machine structure, the control system, and the cutting process. The modal truncation technique using the steady-state dynamic analysis in a selected location and frequency range of interest is applied to increase the efficiency of mechatronics simulations including the cutting process. In particular, this proposed prediction model allows accurate design verifications for high-speed machines because it reflects the influences of the high inertia forces and the contour errors caused by high feed rate. Several peripheral milling applications were demonstrated in order to show the feasibility of the proposed prediction model, and we confirmed the superiority of prediction by comparing the simulated and measured results in high feed milling.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Machine Tools and Manufacture - Volume 90, March 2015, Pages 29–43
نویسندگان
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