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Titolo:
Process optimisation in pulsed laser micromachining with applications in medical device manufacturing
Autore:
Chen, K; Yao, YL;
Indirizzi:
Columbia Univ, Dept Mech Engn, New York, NY 10027 USA Columbia Univ New York NY USA 10027 ept Mech Engn, New York, NY 10027 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
fascicolo: 4, volume: 16, anno: 2000,
pagine: 243 - 249
SICI:
0268-3768(2000)16:4<243:POIPLM>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Keywords:
design of experiment; Nd : YAG laser;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Yao, YL Columbia Univ, Dept Mech Engn, 220 SW Mudd,Mail Code 4703,500 W 120th St, New York, NY 10027 USA Columbia Univ 220 SW Mudd,Mail Code 4703,500W 120th St New York NY USA 10027
Citazione:
K. Chen e Y.L. Yao, "Process optimisation in pulsed laser micromachining with applications in medical device manufacturing", INT J ADV M, 16(4), 2000, pp. 243-249

Abstract

Pulsed laser machining offers many unique capabilities that continuous-wave (CW) laser machining cannot. In pulsed laser machining, however, the additional process parameters of peak power, pulse frequency and pulse durationmake it more difficult to find and fine tune a suitable operation window. This becomes harder in micromachining applications where tolerance of inaccuracy is smaller. How to determine these parameters in a systematic way is of great interest. This paper presents a hybrid approach, in which an analysis of the interactive reactions between various process parameters and their influence on machining quality if first conducted. Based on an energy balance as well as on the characteristics of pulsed laser machining, these relationships lead to the establishment of several guidelines. These guidelines are followed to determine an initial set of process parameters that are refined in the subsequent design of an experiment. The approach is followedin a precision medical device manufacturing case where a six-variable fractional factorial design with multiple responses is chosen to quantify the effects of key process parameters on visual and metallurgical responses.

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Documento generato il 10/04/20 alle ore 02:39:01