Generic Mathematical Model for Efficient Milling Process Simulation

The current challenge in metal cutting models is to estimate cutting forces in order to achieve a more accurate and efficient machining process simulation and optimization system. This paper presents an efficient mathematical model for process simulation to evaluate the cutting action with variable...

Full description

Bibliographic Details
Main Authors: Hilde Perez, Eduardo Diez, Juan de Juanes Marquez, Antonio Vizan
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/875045
id doaj-67ce2d6c1dfb4c32b778cf4b5c9d9d99
record_format Article
spelling doaj-67ce2d6c1dfb4c32b778cf4b5c9d9d992020-11-24T22:52:02ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/875045875045Generic Mathematical Model for Efficient Milling Process SimulationHilde Perez0Eduardo Diez1Juan de Juanes Marquez2Antonio Vizan3Department of Mechanical, Informatics and Aerospace Engineering, University of Leon, Campus Universitario de Vegazana, 24071 Leon, SpainDepartment of Mechanical Engineering, University of La Frontera, Avenida Francisco Salazar, 01145 Temuco, ChileDepartment of Mechanical and Manufacturing Engineering, Technical University of Madrid, Calle de José Gutiérrez Abascal 2, 28006 Madrid, SpainDepartment of Mechanical and Manufacturing Engineering, Technical University of Madrid, Calle de José Gutiérrez Abascal 2, 28006 Madrid, SpainThe current challenge in metal cutting models is to estimate cutting forces in order to achieve a more accurate and efficient machining process simulation and optimization system. This paper presents an efficient mathematical model for process simulation to evaluate the cutting action with variable part geometries of helical cutters and predict the cutting forces involved in the process. The objective of this paper has been twofold: to improve both the accuracy and computational efficiency of the algorithm for cutting force estimation in peripheral milling. Runout effect and the real tool tooth trajectory are taken into account to determine the instantaneous position of the cutting flute. An expression of average chip thickness for the engaged flute in the cut is derived for cutting force calculations resulting in a more efficient process simulation method in comparison with previous models. It provides an alternative to other studies in scientific literature commonly based on numerical integration. Experiments were carried out to verify the validity of the proposed method.http://dx.doi.org/10.1155/2015/875045
collection DOAJ
language English
format Article
sources DOAJ
author Hilde Perez
Eduardo Diez
Juan de Juanes Marquez
Antonio Vizan
spellingShingle Hilde Perez
Eduardo Diez
Juan de Juanes Marquez
Antonio Vizan
Generic Mathematical Model for Efficient Milling Process Simulation
Mathematical Problems in Engineering
author_facet Hilde Perez
Eduardo Diez
Juan de Juanes Marquez
Antonio Vizan
author_sort Hilde Perez
title Generic Mathematical Model for Efficient Milling Process Simulation
title_short Generic Mathematical Model for Efficient Milling Process Simulation
title_full Generic Mathematical Model for Efficient Milling Process Simulation
title_fullStr Generic Mathematical Model for Efficient Milling Process Simulation
title_full_unstemmed Generic Mathematical Model for Efficient Milling Process Simulation
title_sort generic mathematical model for efficient milling process simulation
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description The current challenge in metal cutting models is to estimate cutting forces in order to achieve a more accurate and efficient machining process simulation and optimization system. This paper presents an efficient mathematical model for process simulation to evaluate the cutting action with variable part geometries of helical cutters and predict the cutting forces involved in the process. The objective of this paper has been twofold: to improve both the accuracy and computational efficiency of the algorithm for cutting force estimation in peripheral milling. Runout effect and the real tool tooth trajectory are taken into account to determine the instantaneous position of the cutting flute. An expression of average chip thickness for the engaged flute in the cut is derived for cutting force calculations resulting in a more efficient process simulation method in comparison with previous models. It provides an alternative to other studies in scientific literature commonly based on numerical integration. Experiments were carried out to verify the validity of the proposed method.
url http://dx.doi.org/10.1155/2015/875045
work_keys_str_mv AT hildeperez genericmathematicalmodelforefficientmillingprocesssimulation
AT eduardodiez genericmathematicalmodelforefficientmillingprocesssimulation
AT juandejuanesmarquez genericmathematicalmodelforefficientmillingprocesssimulation
AT antoniovizan genericmathematicalmodelforefficientmillingprocesssimulation
_version_ 1725667471178858496