Portrait of Dr Naeem Shaukat Mian Dr Naeem Shaukat Mian

View research degree topics that Dr Naeem Shaukat Mian might supervise

n.mian@hud.ac.uk | 01484 505715



Biography

Having an Electronics Engineering background (BS Electronics), Naeem completed his MSc in Engineering Control Systems and Instrumentation from the University of Huddersfield. Naeem’s final year project was to design a cost effective machine tool axis straightness measurement system which may replace expensive laser systems commercially used. During the project Naeem experienced severe non-linearity in the data obtained from the designed sensor system which was later researched and found to be the cause of temperature fluctuations which effectively expanded not only the machine but also the sensor system. This become the starting point for Naeem’s PhD. Naeem continued to research into the causes of machine tool thermal instabilities. However thermal tests were found to be very time consuming and is what industries don’t want. Naeem successfully devised a method where thermal testing times on machine tools can be reduced from fort-night to hours. After completing the PhD, Naeem joined the Centre for Precision Technologies (CPT) within the Engineering Control and Machine Performance Group (ECMPG) at the University of Huddersfield as Research Assistant.

Research and Scholarship

Research interests:

  • Machine tool thermal behaviour
  • Machine tool calibration
  • Finite Element Analysis (FEA)
  • Machine tool performance prior to manufacturing
  • Instrumentation and sensor systems
  • Electronic circuits design
  • Data analysis

Publications and Other Research Outputs

Article

Abuaniza, A., Fletcher, S., Mian, N. and Longstaff, A. (2016) ‘Thermal Error Modelling of a CNC Machine Tool Feed Drive System using FEA MethodInternational Journal of Engineering Research & Technology , 5 (3), pp. 118-126. ISSN 2278-0181

Mian, N., Fletcher, S., Longstaff, A. and Myers, A. (2013) ‘Efficient estimation by FEA of machine tool distortion due to environmental temperature perturbationsPrecision Engineering , 37 (2), pp. 372-379. ISSN 0141-6359

Mian, N., Fletcher, S., Longstaff, A. and Myers, A. (2011) ‘Efficient thermal error prediction in a machine tool using finite element analysisMeasurement Science and Technology , 22 (8), p. 085107. ISSN 0957-0233

Book Section

Akowua, K., Fletcher, S., Longstaff, A. and Mian, N. (2017) ‘Areal surface measurement using multidirectional laser line scanning’. In: Laser Metrology and Machine Performance XII, Lamdamap 2017. Renishaw Innovation Centre, Wotton-under-Edge, UK: euspen. pp. 175-182. ISBN 978-0956679093

Potdar, A., Longstaff, A., Fletcher, S. and Mian, N. (2015) ‘Application of multi sensor data fusion based on Principal Component Analysis and Artificial Neural Network for machine tool thermal monitoring’. In: Laser Metrology and Machine Performance XI, LAMDAMAP 2015. Huddersfield, UK: EUSPEN. pp. 228-237. ISBN 978-0-9566790-5-5

Mian, N., Fletcher, S., Longstaff, A. and Myers, A. (2013) ‘The significance of air pockets for modelling thermal errors of machine tools’. In: Laser Metrology and Machine Performance X. Bedfordshire, UK: EUSPEN. pp. 189-198. ISBN 978-0-9566790-1-7

Mian, N., Fletcher, S., Longstaff, A., Myers, A. and Pislaru, C. (2009) ‘Efficient offline thermal error modelling strategy for accurate thermal behaviour assessment of the machine tool.’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09. Huddersfield: University of Huddersfield. pp. 26-32. ISBN 9781862180857

Mian, N., Fletcher, S., Longstaff, A., Myers, A. and Pislaru, C. (2009) ‘Efficient Offline Thermal Modelling for Accurate Assessment of Machine Tool Thermal Behaviour’. In: Laser Metrology and Machine Performance. Euspen Headquarters, Cranfield University: Euspen. pp. 9-18. ISBN 978-0-9553082-7-7

Mian, N., Fletcher, S., Longstaff, A., Myers, A. and Pislaru, C. (2008) ‘Novel and efficient thermal error reduction strategy for machine tool performance improvement’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2008: CEARC’08. Huddersfield: University of Huddersfield. pp. 15-22. ISBN 978-1-86218-067-3

Conference Item

Abuaniza, A., Fletcher, S., Mian, N. and Longstaff, A. (2015) ‘Machine structure simulation using FEA and optimised thermal parameters’. In: Laser Metrology and Machine Performance (LAMDAMAP) 2015, 17-18 March 2015, University of Huddersfield

Mian, N., Fletcher, S., Longstaff, A. and Myers, A. (2015) ‘FEA-based design study for optimising non-rigid error detection on machine tools’. In: Laser Metrology, Machine Tool, CMM & Robotic Performance (LAMDAMAP), 17th - 18th March, 2015, Univeristy of Huddersfield

Fletcher, S., Mian, N. and Longstaff, A. (2014) ‘Optimising temperature sensor placement for machine tool thermal error compensation’. In: EUSPEN Special Interest Group: Thermal Issues, 19-20 March 2014, Novotel Zurich City, Zurich, Switzerland

Mian, N., Fletcher, S., Longstaff, A. and Myers, A. (2013) ‘Towards obtaining robust boundary condition parameters to aid accuracy in FEA thermal error predictions’. In: 2nd Annual EPSRC Manufacturing the Future Conference, 17-18 September 2013, Cranfield University, UK

Mian, N., Fletcher, S., Longstaff, A. and Myers, A. (2012) ‘An efficient offline method for determining the thermally sensitive points of a machine tool structure’. In: 37th International Matador Conference, 25th-27th July 2012, Manchester, England

Mian, N., Fletcher, S., Longstaff, A., Myers, A. and Pislaru, C. (2010) ‘Novel and efficient thermal error reduction strategy for machine tool performance improvement’. In: University of Huddersfield Annual Research Festival School of Computing and Engineering 12th March 2010, Friday 12th March 2010, University of Huddersfield

Mian, N., Fletcher, S., Longstaff, A., Myers, A. and Pislaru, C. (2009) ‘Novel and Efficient Thermal Error Reduction Strategy For Machine Tool Performance Improvement’. In: University of Huddersfield Research Festival, 23rd March - 2nd April 2009, University of Huddersfield

Thesis

Mian, N (2010) Efficient machine tool thermal error modelling strategy for accurate offline assessment Doctoral thesis, University of Huddersfield.

Research Degree Supervision

Enterprise Activities

Industrial visits to test and calibrate machine tools for thermal instabilities.

Teaching and Professional Activities

Naeem has experience of teaching in mechanical engineering areas that includes structural analysis using FEA. Also has experience of teaching the Instrumentation and control side to MSc students covering areas related to the dimensional metrology such as measurement uncertainties, traceability, repeatability etc.