Optimization of the Cryogenic Treatment Process for En 52 Valve Steel Using the Grey-Taguchi Method

This study investigated the optimization of the deep cryogenic treatment for En 52 valve steel using the Taguchi method in combination with the Grey relational analysis. The factors considered for the optimization are the cooling rate, soaking temperature, soaking period, and tempering temperature, each at three different levels. The mechanical properties such as the tensile strength, hardness, and wear resistance were selected as the quality targets. Nine experimental runs based on L 9 (34) orthogonal array of the Taguchi method were performed. An optimal parameter combination of the deep cryogenic treatment was obtained via the Grey relational analysis. The analysis of variance is applied to identify the most influential factor and it is found that the soaking period is the most influential factor for the deep cryogenic treatment of En 52 valve steel. A confirmation experiment is performed to verify the optimal result. The results of the confirmation tests prove that the tensile strength, hardness, and ...

[1]  Saurav Datta,et al.  Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding , 2008 .

[2]  Rob Dwyer-Joyce,et al.  Combating automative engine valve recession , 2003 .

[3]  U. Çaydas,et al.  Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics , 2008 .

[4]  G. Nagarajan,et al.  Optimization of cryogenic treatment to maximize the wear resistance of 18% Cr martensitic stainless steel by Taguchi method , 2008 .

[5]  W. Reitz,et al.  The Effects of Cryogenic Treatment on the Thermal Conductivity of GRCop-84 , 2007 .

[6]  C. M. Taylor,et al.  Automobile engine tribology—design considerations for efficiency and durability , 1998 .

[7]  T. Jayakumar,et al.  Fatigue life extension of notches in AISI 304L weldments using deep cryogenic treatment , 2005 .

[8]  J. L Lin,et al.  The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics , 2002 .

[9]  G. Nagarajan,et al.  Enhancing the wear resistance of case carburized steel (En 353) by cryogenic treatment , 2005 .

[10]  P. Stratton,et al.  The effect of some heat treatment parameters on the dimensional stability of AISI D2 , 2008 .

[11]  A. Molinari,et al.  Effect of deep cryogenic treatment on the mechanical properties of tool steels , 2001 .

[12]  S. Renganarayanan,et al.  Cryogenic treatment to augment wear resistance of tool and die steels , 2001 .

[13]  Wang Jun,et al.  Effect of cryogenic treatment on the matrix structure and abrasion resistance of white cast iron subjected to destabilization treatment , 2006 .

[14]  Chia-Ming Chang,et al.  The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing , 2002 .

[15]  Jae Soo Hong,et al.  A study of exhaust valve and seat insert wear depending on cycle numbers , 2007 .

[16]  K. Gebauer.  Performance, tolerance and cost of TiAl passenger car valves , 2006 .

[17]  D. Das,et al.  On the refinement of carbide precipitates by cryotreatment in AISI D2 steel , 2009 .

[18]  R. Barron,et al.  Cryogenic treatment of metals to improve wear resistance , 1982 .