Systematic in-depth study on material constitutive parameter identification for numerical cutting simulation on 16MnCr5 comparing temperature-coupled and uncoupled Split Hopkinson pressure bars

Saelzer, Jannis; Thimm, Benedikt; Zabel, Andreas

doi:10.1016/j.jmatprotec.2021.117478

Cited by 10 publications

(1 citation statement)

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“…Bartels et al compared conventionally and additively manufactured (AM) 16MnCr5 steel and found that higher case-hardened depth can be reached in the latter case [58]. Saelzer et al studied simulation possibilities and provided novel aspects for supporting decisions among experimental methods [59]. Dhar et al analyzed the grinding process and found that minimal-quantity lubrication improves the grindability characteristics [60].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Tribology-Related Topography Parameters of Hard-Turned and Ground 16MnCr5 Surfaces

Molnár

2023

Lubricants

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Several surface topography parameters are available for the quantification of tribological properties of machined surfaces. Although these parameters and their influences are widely studied, there are contradictory findings due to the nature of the topography parameters, i.e., the behavior of different materials and cutting tool interactions lead to relatively varying numerical results. A comprehensive study of these interactions can contribute to more exact industrial machining applications. In this study, tribology-related 3D topography parameters of hard-machined (hard-turned and ground) surfaces were analyzed. The machining experiments were carried out based on a detailed design of the experiment; the analyzed material was case-hardened low-carbon content steel, which is widely used for automotive, industrial components such as bearings or gears. From the topography data, response function, correlation, and relative deviation analyses were carried out for the analyzed topography parameters, and tribology maps were created to support the selection of optimal cutting parameter values.

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Section: Introductionmentioning

confidence: 99%