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Dr Ana Vafadar

VC Research and Teaching Fellow

Contact Information Telephone: +61 8 6304 4685, Email:, Campus: Joondalup, Room: JO5224
Staff Member Details
Telephone: +61 8 6304 4685
Facsimile: +61 8 6304 5811
Campus: Joondalup  
Room: JO5224  


Ana is a Lecturer and Researcher of Mechanical Engineering in the School of Engineering.

Current Teaching
  • ENS2170/ENS6138 Principles of Industrial Maintenance
  • ENS2214/ENS6105 Computer Aided Design and Manufacturing
Research Areas and Interests
  • Mechanical Design and Manufacturing Processes
  • Computer Aided Design and Manufacturing (CAD/CAM)
  • Additive Manufacturing
  • Topology Optimization
  • Cost Analysis and Decision Making Models
  • Optimisation Processes
  • Hydraulic and Pneumatic Systems


  • Doctor of Philosophy, Edith Cowan University, 2017.


Recent Research Grants

  • Application of Advanced Manufacturing to the Development of High Efficiency Heat Exchangers ,  Edith Cowan University,  ECU Early Career Researcher Grant - 2019,  2019 - 2020,  $30,000.

Recent Publications (within the last five years)

Journal Articles

  • Masoudi, S., Mirabdolahi, M., Dayyani, M., Jafarian, F., Vafadarshamasbi, A., Dorali, MR., (2019), Development of an intelligent model to optimize heat-affected zone, kerf, and roughness in 309 stainless steel plasma cutting by using experimental results. Materials and Manufacturing Processes, 34(3), 345-356, UK, Taylor & Francis, DOI: 10.1080/10426914.2018.1532579.
  • Vafadarshamasbi, A., Tolouei Rad, M., Hayward, K., (2019), SpringerLink Search Home Log in The International Journal of Advanced Manufacturing Technology. International Journal of Advanced Manufacturing Technology, 102(5-8), 2387–2397, London, DOI:
  • Vafadarshamasbi, A., Tolouei Rad, M., Hayward, K., (2019), An integrated model to use drilling modular machine tools. International Journal of Advanced Manufacturing Technology, 102(5-8), 2387-2397, Springer London, DOI:
  • Aamir, M., Tolouei Rad, M., Ud Din, I., Giasin, K., Vafadarshamasbi, A., (2019), Performance of SAC305 and SAC305-0.4La lead free electronic solders at high temperature. Soldering and Surface Mount Technology, 31(4), 250-260, UK, DOI:
  • Masoudi, S., Vafadarshamasbi, A., Hadad, M., Jafarian, F., (2018), Experimental investigation into the effects of nozzle position, workpiece hardness, and tool type in MQL turning of AISI 1045 steel. Materials and Manufacturing Processes, 33(9), 1011-1019, England, Taylor &Francis, DOI: 10.1080/10426914.2017.1401716.
  • Vafadarshamasbi, A., Hayward, K., Tolouei Rad, M., (2017), Drilling reconfigurable machine tool selection and process parameters optimization as a function of product demand. Journal of Manufacturing Systems, 45(August 2017), 58-69, London, United Kingdom, Elsevier Ltd, DOI: 10.1016/j.jmsy.2017.08.004.
  • Vafadarshamasbi, A., Hayward, K., Tolouei Rad, M., (2017), Sensitivity analysis for justification of utilising special purpose machine tools in the presence of uncertain parameters. International Journal of Production Research, 55(13), 3842-3861, Oxfordshire, United Kingdom, Taylor & Francis, DOI: 10.1080/00207543.2017.1308032.
  • Masoudi, S., Gholami, M., Janghorban Lariche, M., Vafadarshamasbi, A., (2017), Infrared temperature measurement and increasing infrared measurement accuracy in the context of machining process. Advances in Production Engineering and Management, 12(4), 353-362, DOI: 10.14743/apem2017.4.263.
  • Vafadarshamasbi, A., Tolouei Rad, M., Hayward, K., (2016), New cost model for feasibility analysis of utilising special purpose machine tools. International Journal of Production Research, 54(24), 7330-7344, Taylor and Francis Ltd., DOI: 10.1080/00207543.2016.1181283.
  • Vafadarshamasbi, A., Tolouei Rad, M., Hayward, K., Abhary, K., (2016), Technical feasibility analysis of utilizing special purpose machine tools. Journal of Manufacturing Systems, 39(2016), 53–62, Elsevier Ltd, DOI: 10.1016/j.jmsy.2016.02.003.

Conference Publications

  • Vafadarshamasbi, A., Tolouei Rad, M., Hayward, K., (2017), Evaluation of the effect of product demand uncertainty on manufacturing system selection. Procedia Manufacturing, 11(27-30June, 2017), 1735-1743, Elsevier, DOI: 10.1016/j.promfg.2017.07.301.
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