کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
798784 | 1466779 | 2007 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Development of hybrid predictive models and optimization techniques for machining operations Development of hybrid predictive models and optimization techniques for machining operations](/preview/png/798784.png)
This paper presents a summary of recent developments in modeling and optimization of machining processes, focusing on turning and milling operations. With a brief analysis of past research on predictive modeling, the paper presents the analytical, numerical and empirical modeling efforts for 2D and 3D chip formation covering the development of a universal slip-line model, a comprehensive finite element model, and integrated hybrid models. This includes a newly developed equivalent toolface (ET) model and new tool-life relationships developed for machining with complex grooved tools. At the end, a performance-based machining optimization method developed for predicting optimum cutting conditions and cutting tool selection is presented. The paper also highlights the need for considering a machining systems approach to include the integrated effects of workpiece, cutting tool and machine tool.
Journal: Journal of Materials Processing Technology - Volume 185, Issues 1–3, 30 April 2007, Pages 46–59