A Mild Steel Shear Zone Temperature Minimization Using Genetic Algorithm and Direct Search Toolbox in CNC Turning Operation


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Abstract


The high temperature which occurs in metal cutting operations as a result of heat directly or indirectly influencing the cutting tool and work piece properties. The major part of the energy is converted into heat in primary heat zone which also call shear zone.  This paper studies minimization of shear zone temperature during cutting a mild steel work piece by carbide insert cutting tool in computerized numerical control (CNC) turning operation using dry cutting machining. Genetic Algorithm and Direct Search Toolbox methodology is used as optimization method for this purpose. The ideal cutting parameters which help in decreasing the shear zone temperature are obtained. The upper and lower boundaries of cutting parameters will be used as operation constraints. There are many cutting parameters have a huge effect on the shear zone temperature while another have a low.
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Keywords


CNC Turning Machine; Carbide Insert Cutting Tool; Genetic Algorithm Tool Box; Ideal Cutting Parameters; Mild Steel Work Piece; Shear Zone Temperature

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References


Abukhshim, Mativenga and Sheikh, Heat generation and temperature prediction in metal cutting: A review and implications for high speed machining, International Journal of Machine Tools & Manufacture, Vol. 46, 2005.

U. Sekeri, İ. Korkut, Yakup and Turgut, M. Boy , The measurement of temperature during machining, International conference power transmissions 03.

D. Sullivan, Temperature measurement in single point turning, Cork Institute Technology, Vol.118, 2001.

Kharargpur, e-book , cutting temperature causes , effects , assessment and control , Module2of mechanics machining (Lesson 11 , ME IIT, 2009).

S. Dolinšek, Mechanism and types of tool wear; particularities in advanced cutting materials, Journal of Achievements in Materials and Manufacturing Engineering, Vol.19, 2006.

L. Abhang, Chip-tool interface temperature prediction model for turning process, International journal of English science and technology ,Vol.2 ,2010.

Z. Jurkoviv, Optimization of cutting parameters based on tool-chip interface temperature in turning process using Tagugi’s method, 15th International Research/ expert conference, 2011.

M. Aneiro,Turning Hardened Steel Using Coated Carbide at High Cutting Speeds , Vol. 30, 2008.

Sultana , Dhar N. R, GA based multi objective optimization of the predicted models of cutting temperature, chip reduction co-efficient and surface roughness in turning AISI 4320 steel by uncoated carbide insert under HPC condition, International Conference on Mechanical, Industrial, and Manufacturing Technologies, MIMT, 2010.

M. Abdulla , Modeling of chip Tool Interface Temperature in Machining Steel – AnArtificial Intelligence (AI)Approach, Department of Industrial and Production Engineering – Bangladesh International Conference , 2011.

N. Yusup , Evolutionary techniques in optimizing machining parameters: Review and recent application (2007-2011), Expert systems with applications, Malaysia, Vol .39 , 2012.

A. Riza , A novel hybrid immune algorithm for global optimization in design and manufacturing, Robotics and computer-integrated manufacturing , Vol. 25 , 2009.

R. Quiza ,Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes, Engineering Application of Artificial Intelligence, Vol.19, 2006.

G, Khalil, k. Abbas, A new method for optimization of analog integrated circuits usingPareto-based multi-objective genetic algorithm, (2009) International Review on Modelling and Simulations (IREMOS), 2 (3), pp. 297-303.


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