Experimental, FEM and Soft prediction model residual stress and cutting forces of a milling process

Dataset

Description

Experimental, FEM and Soft prediction model of residual stress and cutting forces of a milling process.
Experimental results of the cutting forces were conducted with a Kistler Dynamometer. The residual stress was conducted with a PROTO LXRD System.
The data was processed in OriginPro 2015, Minitap 17 and Microsoft Excel.
The FEM simulation run in Abaqus 6.14-4 and the data was processed in Python 3.5 and Microsoft Excel.

Data embargo until 18/09/17
Date made available6 Jul 2017
PublisherUniversity of Strathclyde
Contact

Access Dataset

  • ICPM_underpinning_data.docx

    File: application/vnd.openxmlformats-officedocument.wordprocessingml.document, 18.2 KB

    Type: Dataset

    Licence: CC BY 4.0

    Embargo End Date: 18 Sep 2017

Research Output

Numerical investigation of mechanical induced stress during precision end milling hardened tool steel

Reimer, A., Fitzpatrick, S., Luo, X. & Zhao, J., 2 May 2017, (Accepted/In press). 8 p.

Research output: Contribution to conference › Paper

Open Access
File

    • Projects

    INDUSTRIAL DOCTORATE CENTRE IN ADVANCED FORMING AND MANUFACTURE | Reimer, Andreas

    Luo, X., Ion, W. & Reimer, A.

    EPSRC (Engineering and Physical Sciences Research Council)

    1/10/14 → 17/05/19

    Project: Research Studentship - Internally Allocated

    Cite this

    Reimer, A. (Creator) (6 Jul 2017). Experimental, FEM and Soft prediction model residual stress and cutting forces of a milling process. University of Strathclyde. ICPM_underpinning_data(.docx). 10.15129/7748fbac-cc9d-4a78-b4b8-f1ed0738fb72