Tool Center Error Identification in Diamond Turning with Material Properties

Finite element analysis simulation results for tool center error identification in single-point diamond turning, investigating the influence of different plastic metal materials. The dataset was created by Guoqing Zhang and last updated on April 13, 2026. The proposed simulation model achieved a maximum absolute error of 1.20 μm and improved identification accuracy by 5–10% compared to previous approaches.

Use Cases

• Training predictive models for tool center error based on material properties like Young's modulus.
• Validating finite element analysis simulations of machining processes against experimental data.
• Improving online identification methods for machining defects by incorporating material-specific cutting force data.

Strengths

• The simulation model demonstrated high consistency with experiments, with a maximum absolute error of 1.20 μm.
• The proposed identification model improved accuracy by 5–10% over previous approaches.
• The study systematically investigates the influence of different plastic metal materials on tool center error.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is relatively small at 34.3 MB, which may limit the scope of analysis.

Provenance

Source

figshare, authored by Guoqing Zhang.

Collection Method

Finite element analysis simulations performed in ABAQUS, with comparison to experimental results.

Time Range

The study's temporal coverage is not specified.

Freshness

Last updated 2026-04-13 09:45:32; freshness should be verified.

Geography

The study's geographic coverage is not specified.