Nowadays high speed machining (HSM) machine tool combines productivity and part quality. So mould and die maker invested in HSM. Die and mould features are more and more complex shaped. Thus, it is difficult to choose the best machining strategy according to part shape. Geometrical analysis of machining features is not sufficient to make an optimal choice. Some research show that security, technical, functional and economical constrains must be taken into account to elaborate a machining strategy. During complex shape machining, production system limits induce feed rate decreases, thus loss of productivity, in some part areas. In this paper we propose to analyse these areas by estimating tool path quality. First we perform experiments on HSM machine tool to determine trajectory impact on machine tool behaviour. Then, we extract critical criteria and establish models of performance loss. Our work is focused on machine tool kinematical performance and numerical controller unit calculation capacity. We implement these models on Esprit CAM Software. During machining trajectory creation, critical part areas can be visualised and analysed. Parameters, such as, segment or arc lengths, nature of discontinuities encountered are used to analyse critical part areas. According to this visualisation, process development engineer should validate or modify the trajectory.
[1]
Hong-Tzong Yau,et al.
A new approach to z-level contour machining of triangulated surface models using fillet endmills
,
2005,
Comput. Aided Des..
[2]
Paul K. Wright,et al.
Volumetric feature recognition for machining components with freeform surfaces
,
2004,
Comput. Aided Des..
[3]
Ciro A. Rodríguez,et al.
Influence of tool path strategy on the cycle time of high-speed milling
,
2003,
Comput. Aided Des..
[4]
Taylan Altan,et al.
High-speed machining of cast iron and alloy steels for die and mold manufacturing
,
2000
.
[5]
Jie Wang,et al.
A surface based approach to recognition of geometric features for quality freeform surface machining
,
2004,
Comput. Aided Des..
[6]
J. Liu,et al.
Recognition of machining features and feature topologies from NC programs
,
2000,
Comput. Aided Des..
[7]
Arnaud Dugas.
CFAO et UGV : simulation d'usinage de formes complexes
,
2002
.
[8]
Pascal Ray,et al.
Corner optimization for pocket machining
,
2004
.
[9]
Willem F. Bronsvoort,et al.
Freeform feature modelling: concepts and prospects
,
2002,
Comput. Ind..
[10]
Arthur Flutter,et al.
A machining strategy for toolmaking
,
2001,
Comput. Aided Des..