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Deji Aremu

Dr

 https://orcid.org/0000-0002-3680-214X

Accepting PhD Students

PhD projects

1. Development of computational algorithms for Additive manufactured components 2. An investigation into the Computational Fluid Dynamics of Lattices structures 3. A investigation into designs constraints within cheaper additive manufacturing techniques for metals 4. Development of cheap metallic additive manufacturing techniques 5. Development of robust computational algorithm for generating lattices structures 6. Engaging additive manufacturing techniques for solving prevalent engineering issues in third world nations. 7. Development of optimisation strategies and algorithms to topographically derive antibacterial surfaces

  • 737 Citations
  • 11 h-Index
20102020

Research output per year

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Personal profile

Education/Academic qualification

Mechanical and Manufacturing, Doctorate, Loughborough University

3 Jan 2009 → 31 Dec 2013

Manufacturing Systems Engineering, MSc, University of Warwick

2 Oct 2006 → 2 Oct 2007

Metallurgical and Material Engineering, Obafemi Awolowo University

1 Sep 1998 → 30 Nov 2005

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Research Output

A Machine Learning Approach to Predicting Two Dimensional Structural Performance

Aremu, D., Delli Carri, A., Razmkhah, O. & Ashman, P., 2020.

Research output: Working paper

A Pythonic Approach to Voxelizing Stereolithographic Models

Aremu, D., Delli Carri, A. & Ashman, P., 2020, Association for Computing Machinery.

Research output: Working paper

    • Entrepreneurial Opportunities For Additive Manufacturing Technologies in Sub-Saharan Africa

    Aremu, D., Asare, K., Osabuohien, E., Ufua, D., Delli Carri, A. & Ashman, P., 2020, Technovation.

    Research output: Working paper

    Using machine learning to aid in the parameter optimisation process for metal-based additive manufacturing

    Silbernagel, C., Aremu, A. & Ashcroft, I., 2 Dec 2019, In : Rapid Prototyping Journal. 26, 4, p. 625-637 13 p.

    Research output: Contribution to journal › Article

    Open Access
    File
    • 9 Downloads (Pure)

    Effective design and simulation of surface-based lattice structures featuring volume fraction and cell type grading

    Maskery, I., Aremu, A., Parry, L., Wildman, R., Tuck, C. & Ashcroft, I., 5 Oct 2018, In : Materials and Design. 155, p. 220-232 13 p.

    Research output: Contribution to journal › Article

    Open Access
    File
    • 55 Citations (Scopus)
    15 Downloads (Pure)