Technology-based assessment of subtractive machining processes for mold manufacture

Klink, Andreas; Arntz, Kristian; Johannsen, Lars; Holsten, Maximilian; Chrubasik, Lothar; Winands, Kai; Wollbrink, Moritz; Bletek, Thomas; Gerretz, Vincent; Bergs, Thomas

doi:10.1016/j.procir.2018.05.052

Cited by 13 publications

(1 citation statement)

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“…Die fabrication is usually achieved by machining operation, which is supported by CADCAM technology to help the design process and machining automation [3]. In general, there are three fundamental stages in die machining: rough machining, in which the workpiece material is removed quickly, semi-finish machining, in which the workpiece material is removed at a consistent removal rate, and finish machining, in which the workpiece material is removed accurately for dimensional precision [4]. In the final step, the die is manually polished to achieve a diamond-surface finish [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization and wear characteristics of TiAlN coated carbide when machining hardened high thermal conductivity (HTCS-150) die steel.

Bakar¹,

Azhar²,

Wahab³

et al. 2021

Surf. Topogr.: Metrol. Prop.

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High Thermal Conductivity Steel-150 (HTC-150) is a specific steel designed for use in the hot stamping process as a stamping die. HTCS-150 die steel was difficult to machine due to its high strength, hardened state, and high thermal conductivity characteristics, which necessitated parameter control for a fine surface finish and maximum tool life. The characteristics of tool wear when machining HTCS-150 hardened steel (52 HRC) with a ball nose end mill TiAlN coated carbide insert is presented in this study. Cutting speed, feed rate, and axial depth of cut have all been varied in machining trials. Response surface methodology experimental design was used to create a parametric optimisation model. The results indicate that the model develops an accurate prediction, with comparisons between measured and expected results suggesting that the model operates within the 90% prediction interval with an error of less than 10%. The lowest tool wear was achieved at 130 m min−1 cutting speed, 0.4 mm/tooth feed rate, and 0.1 mm axial depth of cut, according to the optimisation results. The most influenced cutting parameters were found to be feed rate and depth of cut, followed by cutting speed. The wear surface texture analysis revealed coating delamination, adhesion, built-up edge formation, and tool edge chipping. The findings of this experimental study can be used to machine the HTCS-150 for the longest possible tool life while maintaining a fine surface finish.

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Section: Introductionmentioning

confidence: 99%