In this paper, a laser surface micromachining process planning system is presented. In this system, based on a regression model approach, the empirical coefficients, which provide the material removal rate, are automatically generated by a specific software according to the different materials that have to be processed. Numerical models generally present some limits due to the elevated calculation time requested to simulate the laser micromachining of industrial features, especially when transient solutions are considered, and, for this reason, to carry out a useful industrial tool for the evaluation of the material removal rate, the regression model represents the best solution. The presented statistical method, avoiding physical considerations, correlates the material removal rate with the process parameters in a very short calculation time. The automatic procedure for the generation of the coefficients of the regression polynomial permits to easily extend the regression model to any working material and system configuration allowing us to determine the best process parameters in a very short period of time. The results of this work have been patented.

An automated procedure for material removal rate prediction in laser surface micromanufacturing / Orazi, Leonardo; Cuccolini, Gabriele; A., Fortunato; G., Tani. - In: INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY. - ISSN 0268-3768. - STAMPA. - 46:1-4(2010), pp. 163-171. [10.1007/s00170-009-2097-5]

An automated procedure for material removal rate prediction in laser surface micromanufacturing

ORAZI, Leonardo;CUCCOLINI, Gabriele;
2010-01-01

Abstract

In this paper, a laser surface micromachining process planning system is presented. In this system, based on a regression model approach, the empirical coefficients, which provide the material removal rate, are automatically generated by a specific software according to the different materials that have to be processed. Numerical models generally present some limits due to the elevated calculation time requested to simulate the laser micromachining of industrial features, especially when transient solutions are considered, and, for this reason, to carry out a useful industrial tool for the evaluation of the material removal rate, the regression model represents the best solution. The presented statistical method, avoiding physical considerations, correlates the material removal rate with the process parameters in a very short calculation time. The automatic procedure for the generation of the coefficients of the regression polynomial permits to easily extend the regression model to any working material and system configuration allowing us to determine the best process parameters in a very short period of time. The results of this work have been patented.
46
1-4
163
171
An automated procedure for material removal rate prediction in laser surface micromanufacturing / Orazi, Leonardo; Cuccolini, Gabriele; A., Fortunato; G., Tani. - In: INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY. - ISSN 0268-3768. - STAMPA. - 46:1-4(2010), pp. 163-171. [10.1007/s00170-009-2097-5]
Orazi, Leonardo; Cuccolini, Gabriele; A., Fortunato; G., Tani
File in questo prodotto:
File Dimensione Formato  
AnAutomatedProcedureForMaterialRemovalRatePredictionInLaserSurfaceMicromanufacturing.pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 618.74 kB
Formato Adobe PDF
618.74 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/629298
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 10
social impact