| contributor author | Nguyen, Van-Hien | |
| contributor author | Ko, Sung-Lim | |
| date accessioned | 2017-11-25T07:17:30Z | |
| date available | 2017-11-25T07:17:30Z | |
| date copyright | 2016/23/6 | |
| date issued | 2016 | |
| identifier issn | 1087-1357 | |
| identifier other | manu_138_11_111003.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4234615 | |
| description abstract | This paper presents a mathematical model to find the wheel location in grinding a given helical flute of an end mill. Two new setting parameters are introduced to define the relative wheel location in workpiece coordinates. This model allows the wheel-axis orientation be expressed explicitly as a function of the design factors and machine setting parameters. By utilizing this explicit form of the wheel orientation and analyzing the influence of setting parameters on design parameters, a new efficient search algorithm is proposed, and the performance shows that the required wheel location is found within 1.5 s to machine a given flute profile. Moreover, the rake angle can be produced more precisely compared with the conventional methods, which have been used with approximations. A comprehensive development of the software for designing and grinding the helical flute of the end mill is presented, which provides a technology and good foundation for the development of a computer-aided design and computer-aided manufacturing (CAD/CAM) system for manufacturing end mills. The results of the experiment, simulation, and design are compared in order to verify of the proposed method. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A New Method for Determination of Wheel Location in Machining Helical Flute of End Mill | |
| type | Journal Paper | |
| journal volume | 138 | |
| journal issue | 11 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.4033232 | |
| journal fristpage | 111003 | |
| journal lastpage | 111003-11 | |
| tree | Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 011 | |
| contenttype | Fulltext | |