The products miniaturization tendency of the last years led to an acceleration of micromilling process development. Considering the high-quality requirements, a deep knowledge of this operation, concerning ploughing-shearing transition, tool run-out, and tool edge radius effects, is mandatory, especially when machining difficult-to-cut materials. For this reason, this paper introduces a novel 2D micromachining Finite Element Method simulation strategy for micromilling forces evaluation, when cutting IN625. The major output of this technique consists in the computation of an optimized flow stress law, suitable for the simulation of high-speed machining. Particle Swarm Optimization method was employed for optimizing the flow stress parameters by comparing the cutting force predicted by an analytical model previously calibrated on experimental data, providing good agreement. This strategy permits the micromilling process predictive analysis, avoiding costly optimization experimental tests.

A Novel 2D Micromilling FEM simulation strategy to optimize the flow stress law of IN625

Abeni A.
;
Cappellini C.;Attanasio A.
2023-01-01

Abstract

The products miniaturization tendency of the last years led to an acceleration of micromilling process development. Considering the high-quality requirements, a deep knowledge of this operation, concerning ploughing-shearing transition, tool run-out, and tool edge radius effects, is mandatory, especially when machining difficult-to-cut materials. For this reason, this paper introduces a novel 2D micromachining Finite Element Method simulation strategy for micromilling forces evaluation, when cutting IN625. The major output of this technique consists in the computation of an optimized flow stress law, suitable for the simulation of high-speed machining. Particle Swarm Optimization method was employed for optimizing the flow stress parameters by comparing the cutting force predicted by an analytical model previously calibrated on experimental data, providing good agreement. This strategy permits the micromilling process predictive analysis, avoiding costly optimization experimental tests.
2023
Procedia CIRP
Ateneo di appartenenza
PE8_8 Mechanical and manufacturing engineering (shaping, mounting, joining, separation)
PE8_10 Production technology, process engineering
Esperti anonimi
Inglese
no
19th CIRP Conference on Modeling of Machining Operations, CMMO 2023
2023
deu
Internazionale
ELETTRONICO
117
432
437
6
Elsevier B.V.
Finite element method; Milling (machining); Particle swarm optimization (PSO); Plastic flow
no
no
Goal 9: Industry, Innovation, and Infrastructure
reserved
Abeni, A.; Cappellini, C.; Attanasio, A.
273
info:eu-repo/semantics/conferenceObject
3
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/585146
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