Analytical Modeling of Cutting Point Trajectories in Milling

Author:

Spiewak S. A.1

Affiliation:

1. Department of Mechanical Engineering, University of Wisconsin-Madison, 1513 University Ave., Madison, WI 53706

Abstract

A modeling methodology applicable to milling is proposed. This methodology represents a unified approach, in which the essential features of previously developed analytic and numerical models are integrated. It employs homogeneous transformation technique and matrix formulation of the tool geometry. A systematic approach underlying the methodology facilitates separation of various features and phenomena characteristic of milling in the process of model building. It also assures the coherence and compatibility of various derived models. Thus, these models can be developed incrementally, by increasing their sophistication until the desired level of agreement with the actual process is achieved. As an example, equations of cutting point trajectories in face milling are derived. These equations are used to estimate the actual tool geometry and texture of the generated surface on the basis of measured cutting forces.

Publisher

ASME International

Subject

General Medicine

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Experimental verification of mechanistic force models for endmilling: the impact of the size effect on cutting coefficients;The International Journal of Advanced Manufacturing Technology;2022-07-14

2. General characterization of peripheral milled surface geometry by feature element;The International Journal of Advanced Manufacturing Technology;2019-11-16

3. The effect of radial rake angle on chip thickness in the case of face milling;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2019-05-22

4. Improved chip thickness model for serrated end milling;CIRP Journal of Manufacturing Science and Technology;2019-05

5. A new method for determining the instantaneous uncut chip thickness in micro-milling;The International Journal of Advanced Manufacturing Technology;2019-02-28

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