Modelling and Optimization of Laser Alloyed AISI 422 Stainless Steel Using Taguchi Approach and Response Surface Model (RSM)
O. S. Fatoba, O. S. Adesina, G. A. Farotade, A. A. Adediran
Current Journal of Applied Science and Technology · pp. 1–16 · Published 2 Sep 2017
10.9734/CJAST/2017/24512Abstract
This research paper demonstrates the application of Taguchi method and Response surface Methodology (RSM) for optimization of alloyed depth in laser alloying of AISI 422 martensitic stainless steel. The experiment was designed and carried out on the basis of standard L9 Taguchi’s orthogonal array in which three laser processing parameters such as laser power, scanning speed and powder feed rate were arranged at three levels. The processing parameters played an important role in the quality of alloyed coating produced and proper control of these processing parameters resulted in quality alloyed depth and hardness property. From the analysis of mean values of variance (ANOVA) and response surface numerical analysis, the significant laser processing parameters were indentified. The results showed that laser power and scanning speed are the most significant parameters affecting the alloyed depth of laser surface alloying (LSA), while the influence of powder feed rate is much minimal.
Cited by 16
Rezvan Gharehbaghi, Olawale S. Fatoba, Esther Titilayo Akinlabi · 2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) · 2018
Fatima Zohra Derdour, Mohamed Kezzar, Lakhdar Khochemane · Powder Technology · 2018
O.S. Fatoba, E.T. Akinlabi, S.A. Akinlabi · Materials Today: Proceedings · 2018
C.C. Nwaeju, F.O. Edoziuno, A.A. Adediran · Advances in Materials and Processing Technologies · 2021
Modupeola Dada, Patricia Popoola, Ntombizodwa Mathe · The International Journal of Advanced Manufacturing Technology · 2020
Guowei Wang, Lan Huang, Zecheng Liu · Materials & Design · 2020
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