Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sabiruddin, Kazi
- Abrasive Water Jet Machining of Metal Laminates and Characterization of Metal Removal Procedure
Abstract Views :314 |
PDF Views:140
Authors
Affiliations
1 Production Engineering, IN
1 Production Engineering, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 6 (2005), Pagination: 28-31Abstract
Among the non-conventional machining processes Abrasive Water Jet Machining (AWJM) already have taken an important role. Now-a-days it is used for precision machining processes (e.g. precision drilling, milling). Like conventional machining in AWJM material from workpiece is not removed by shearing process, but by erosion due to velocity water stream and abrasive particle mixture impinging on a small area.Full Text
- Optimization of Process Parameters for GMAW of High Carbon Steel using TOPSIS
Abstract Views :304 |
PDF Views:139
Authors
Affiliations
1 Department of Mechanical Engineering, Dr. B.C. Roy Engineering College, Durgapur, Duragpur - 713206, West Bengal, IN
2 Department of Mechanical Engineering, Indian Institute of Technology, Indore - 453331, Madhya Pradesh, IN
3 Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal, IN
1 Department of Mechanical Engineering, Dr. B.C. Roy Engineering College, Durgapur, Duragpur - 713206, West Bengal, IN
2 Department of Mechanical Engineering, Indian Institute of Technology, Indore - 453331, Madhya Pradesh, IN
3 Department of Mechanical Engineering, Kalyani Govt. Engineering College, Kalyani-741235, West Bengal, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 17 (2018), Pagination: 12-24Abstract
TOPSIS is an extensively used multi-criteria decision making tool. It is simple in form and easy to apply in complex decision making problems. In the present work, TOPSIS is applied for selecting appropriate process parameters for Gas Metal Arc Welding (GMAW) of High-Carbon Steel specimens. Experiments were performed on specimens using MAG welding with varying process parameters. Experimental outcomes are analyzed and the results obtained from the TOPSIS process are depicted in ranking the best alternative corresponding to a set of process parameters. It is found that160 A of weld current, 30 V of weld voltage and welding torch speed of 370.5 mm/min setting with the highest heat input in the present investigation is giving the best result according to TOPSIS.Keywords
TOPSIS, GMAW, Closeness to Ideal Solution, Ranking, Optimization.Full Text
References
- Holimchayachotikul, P., Laosiritaworn, W., Jintawiwat, R. and Limcharoen, A.., Optimization of gas metal are welding parameters for ST 37 steel using support vector regression, Proceedings of the IE Network Conference, 24-26 October 2007.
- Weéglowski, M.St., Huang, Y. and Zhang, Y.M., Effects of welding current on metal transfer in GMAW, Archives of Material Science and Engineering, Vol. 33, No.1, pp.49-56, 2008.
- Kolahan, F. and Heidari, M., A new approach for predicting and optimizing weld bead geometry in GMAW, World Academy of Science, Engineering and Technology, Vol.59, 2009.
- Kolahan, F. and Heidari, M., Modeling and optimization of MAG welding for gas pipeline using regression analysis and simulated annealing algorithm, Journal of Scientific & Industrial Research, Vol. 69, No. April, pp.259-265, 2010.
- Nagesh, D.S. and Datta, G.L., Modeling of fillet welded joint of GMAW process: integrated approach using DOE, ANN and GA, International Journal of Interactive Design and Manufacturing, Vol.2, pp.127-136, 2008.
- Rao, P.S., Gupta, O.P., Murty, S.S.N. and Koteswara Rao, A.B., Effect of process parameters and mathematical model for the prediction of bead geometry in pulsed GMA welding, International Journal of Advanceds Manufacturing Technology, Vol. 45, pp.496-505, 2009.
- Carrino, L., Natale, U., Nele, L., Sabatini, M.L. and Sorrentino, L., A neuro-fuzzy approach for increasing productivity in gas metal arc welding processes, International Journal of Advanced Manufacturing Technology, Vol. 32, pp. 459-467, 2007.
- Hwang, C.L. and Yoon, K., Multiple Attribute Decision Making: Methods & Applications, Springer-Verlag, New York, 1981.
- Behzadian, M., Otaghsara, S.K., Yazdani, M.and Ignatius, J., A state-of the-art survey of TOPSIS applications, Expert Systems with Applications, Vol. 39, pp.13051-13069, 2012.
- Athawale, V.M. and Chakraborty, S., A TOPSIS method-based approach to machine tool selection, Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, Dhaka, Bangladesh, January 9-10, 2010.
- Malve, P.B. and Jachak, S., Analysis of Aluminium profile manufacturing industries by using TOPSIS method, International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No.3, 2014.
- Jahanshahloo, G.R., Lotfi, F.H. and Izadikhah, M., Extension of the TOPSIS method for decision-making problems with fuzzy data, Applied Mathematics and Computation, Vol.181, pp.1544155, 2006.
- Karim, R.and Karmaker, C.L., Machine selection by AHP and TOPSIS method, American Journal of Industrial Engineering, Vol.4, No.1, pp.7-13, 2016.
- Das, A. and Das, S., Supplier selection for a pump manufacturing organization by hybrid AHP-TOPSIS technique and its impact on inventory, International Journal of the Analytic Hierarchy Process, Vol.8, No.2, pp.334-352, 2016.
- Dymova, L., Sevastjanov, P. and Tikhonenko, A., An approach to generalization of fuzzy TOPSIS method, Information Sciences, Vol. 238, pp.149-162, 2013.
- Prakash C. and Barua, M.K., Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment, Journal of Manufacturing Systems, Vol. 37, pp.599-615, 2015.
- Junior, F.R.L., Osiro, L. and Carpinetti, L.C.R., A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection, Applied Soft Computing, Vol. 21, pp.194-209, 2014.
- Tripathy S. and Tripathy, D.K., Multiattribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis, Engineering Science and Technology, An International Journal, Vol.19, pp.62-70, 2016.
- Rao, R.V., Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Springer-Verlag, London, 2007.