Optimization of Fusion Zone Grain Size, Hardness and Ultimate Tensile Strength of Pulsed Current Micro Plasma Arc Welded Inconel 625 Sheets Using Genetic Algorithm

2012 ◽  
Vol 12 (3-4) ◽  
Author(s):  
Siva Prasad Kondapalli ◽  
Srinivasa Rao Chalamalasetti ◽  
Nageswara Rao Damera
Keyword(s):  
Genetic Algorithm ◽  
Grain Size ◽  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Fusion Zone ◽  
Inconel 625 ◽  
Pulsed Current ◽  
Plasma Arc

scholarly journals Optimization of Fusion Zone Grain Size, Hardness, and Ultimate Tensile Strength of Pulsed Current Microplasma Arc Welded AISI 304L Sheets Using Genetic Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Siva Prasad Kondapalli ◽  
Srinivasa Rao Chalamalasetti ◽  
Nageswara Rao Damera
Keyword(s):  
Genetic Algorithm ◽  
Grain Size ◽  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Process Parameters ◽  
Petroleum Industry ◽  
Design Matrix ◽  
Pulsed Current ◽  
Aisi 304L ◽  
Metal Bellows

Austenitic stainless steel sheets have gathered wide acceptance in the fabrication of components, which require high temperature resistance and corrosion resistance, such as metal bellows used in expansion joints in aircraft, aerospace, and petroleum industry. In case of single pass welding of thinner sections of this alloy, Pulsed Current Microplasma Arc Welding (PCMPAW) was found beneficial due to its advantages over the conventional continuous current process. The quality of welded joint depends on the grain size, hardness, and ultimate tensile strength, which have to be properly controlled and optimized to ensure better economy and desirable mechanical characteristics of the weld. This paper highlights the development of empirical mathematical equations using multiple regression analysis, correlating various process parameters to grain size, and ultimate tensile strength in PCMPAW of AISI 304L sheets. The experiments were conducted based on a five-factor, five-level central composite rotatable design matrix. A genetic algorithm (GA) was developed to optimize the process parameters for achieving the desired grain size, hardness, and ultimate tensile strength.

scholarly journals Multi-objective Optimization of Welding Parameters of Pulsed Current Micro Plasma Arc Welded AISI 904L Super Austenitic Steel

2019 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Kondapalli Siva Prasad ◽  
Sailaja M ◽  
Ramji K
Keyword(s):  
Grain Size ◽  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Fusion Zone ◽  
Welding Parameters ◽  
Design Matrix ◽  
Plasma Arc ◽  
Input Parameters ◽  
Grey Relational Grade ◽  
Grey Relational

In the present work, AISI 904L super austentic steel sheets of 0.4mm thick is butt welded using Micro Plasma Arc Welding. Welding input parameters like peak current, base current, pulse rate and pulse width are considered and output responses like fusion zone grain size, hardness and ultimate tensile strength of the welded joint are considered. 31 experiments are performed as per Central Composite Design (CCD) design matrix of Response Surface Method (RSM) by considering four factors and five levels of weld input parameters. Grey Relational Analysis (GRA) is carried out by minimizing fusion zone grain size and maximizing fusion zone hardness and ultimate tensile strength to find the optimal combination of weld input parameters.  The order of importance of weld input parameters are also identified and improvement in Grey Relational Grade was found.  

Optimizing Pulsed Current Micro Plasma Arc Welding Parameters to Maximize Ultimate Tensile Strength of AISI 304L Sheets Using Response Surface Method

2014 ◽  
Vol 660 ◽  
pp. 322-326
Author(s):  
Kondapalli Siva Prasad ◽  
Chalamalasetti Srinivasa Rao ◽  
Damera Nageswara Rao
Keyword(s):  
Mathematical Model ◽  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Response Surface ◽  
Response Surface Method ◽  
Welding Parameters ◽  
Pulsed Current ◽  
Plasma Arc ◽  
Aisi 304L ◽  
Surface Method

AISI 304L is an austenitic Chromium-Nickel stainless steel offering the optimum combination of corrosion resistance, strength and ductility. These attributes make it a favorite for many mechanical components. The paper focuses on developing mathematical model to predict ultimate tensile strength of pulsed current micro plasma arc welded AISI 304L joints. Four factors, five level, central composite rotatable design matrix is used to optimize the number of experiments. The mathematical model has been developed by response surface method. The adequacy of the model is checked by ANOVA technique. By using the developed mathematical model, ultimate tensile strength of the joints can be predicted with 99% confidence level. Contour plots are drawn to study the interaction effect of pulsed current micro plasma arc welding parameters ultimate tensile strength of AISI 304L steel. The developed mathematical model has been optimized using Response Surface Method to maximize the ultimate tensile strength.

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