Data Mining for Motorsport Aerodynamics

Engineering design is the practical application of scientific theory with the goal of a real world outcome in a reasonable timeframe. Until the recent past, conducting a physical experiment was the only way an engineer could measure the merits of any reasonably complex design. With the advent and uptake of computational processes this balance has shifted and simulation is now a reasonable alternative. Although engineers have been quick to adapt to the process of digital experimentation, the methods used in analysing the data gathered have not progressed with such vigour. Statistical methods used before the digital age are still commonplace in everyday practices and this seriously limits the efficiency and final output capable. Just as the methods of testing designs have changed, the analysis processes used there after must also change.

[1]  Andrew Kusiak,et al.  Data mining applications in engineering design, manufacturing and logistics , 2006 .

[2]  Lior Rokach,et al.  Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach , 2006, J. Intell. Manuf..

[3]  Manas Khurana,et al.  Application of an hybrid optimization approach in the design of long endurance airfoils , 2008 .

[4]  M. D. McKay,et al.  A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .

[5]  Andrew Kusiak,et al.  Data Mining in Manufacturing: A Review , 2006 .

[6]  Kazuhiro Nakahashi,et al.  Multidisciplinary Design Optimization and Data Mining for Transonic Regional-Jet Wing , 2007 .

[7]  J. Anderson,et al.  Fundamentals of Aerodynamics , 1984 .

[8]  Yuichi Kuya,et al.  Flow physics of a race car wing with vortex generators in ground effect , 2009 .

[9]  Cyrus D. Jilla,et al.  Multidisciplinary Design Optimization Methodology for the Conceptual Design of Distributed Satellite Systems , 2002 .

[10]  Keqin Wang,et al.  Review on Application of Data Mining in Product Design and Manufacturing , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[11]  Andrew Kusiak,et al.  Data mining: manufacturing and service applications , 2006 .

[12]  Jiyuan Tu,et al.  Computational Fluid Dynamics: A Practical Approach , 2007 .

[13]  Erkki Oja,et al.  Engineering applications of the self-organizing map , 1996, Proc. IEEE.

[14]  Andrew Kusiak,et al.  Data mining in engineering design: a case study , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[15]  Joseph Katz,et al.  Race Car Aerodynamics: Designing for Speed , 1996 .

[16]  Kazuomi Yamamoto,et al.  Multi-Objective Aerodynamic Exploration of Elements' Setting for High-Lift Airfoil Using Kriging Model , 2007 .

[17]  Manas Khurana,et al.  Development and validation of an efficient direct numerical optimisation approach for aerofoil shape design , 2010, The Aeronautical Journal (1968).

[18]  H. Sobieczky.  Parametric Airfoils and Wings , 1999 .

[19]  Shigeru Obayashi,et al.  Practical Implementation of Robust Design Assisted by Response Surface Approximation and Visual Data-Mining , 2009 .

[20]  Robert Ranzenbach,et al.  Cambered Airfoil in Ground Effect - An Experimental and Computational Study , 1996 .