Show simple item record

contributor authorXiaohong, Lu
contributor authorZhenyuan, Jia
contributor authorHaixing, Zhang
contributor authorShengqian, Liu
contributor authorYixuan, Feng
contributor authorLiang, Steven Y.
date accessioned2017-11-25T07:17:49Z
date available2017-11-25T07:17:49Z
date copyright2017/8/3
date issued2017
identifier issn1087-1357
identifier othermanu_139_07_071004.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234780
description abstractOne of the challenges in micromilling processing is chatter, an unstable phenomenon which has a larger impact on the microdomain compared to macro one. The minimization of tool chatter is the key to good surface quality in the micromilling process, which is also related to the milling tool and the milling structure system dynamics. Frequency response function (FRF) at micromilling tool point describes dynamic behavior of the whole micromilling machine-spindle-tool system. In this paper, based on receptance coupling substructure analysis (RCSA) and the consideration of rotational degree-of-freedom, tool point frequency response function of micromilling dynamic system is obtained by combining two functions calculated from beam theory and obtained by hammer testing. And frequency response functions solved by Timoshenko's and Euler's beam theories are compared. Finally, the frequency response function is identified as the modal parameters, and the modal parameters are transformed into equivalent structural parameters of the physical system. The research work considers the difference of theoretical modeling between the micromilling and end-milling tool and provides a base for the dynamic study of the micromilling system.
publisherThe American Society of Mechanical Engineers (ASME)
titleTool Point Frequency Response Prediction for Micromilling by Receptance Coupling Substructure Analysis
typeJournal Paper
journal volume139
journal issue7
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4035491
journal fristpage71004
journal lastpage071004-13
treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 007
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record