Asif Ahmad
@psit.ac.in
Assistant Professor, Mechanical Engineering Department
Assistant Professor, Pranveer Singh Institute of Technology, Kanpur
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Industrial and Manufacturing Engineering, General Engineering
7
Scopus Publications
Scopus Publications
- Optimization of electric vehicle lithium-ion battery parameter by using taguchi methodology
Asif Ahmad and Parveen Kumar
CRC Press - Microstructure Analysis and Multi-objective Optimization of Pulsed TIGWelding of 316/316L Austenite Stainless Steel
Asif Ahmad
Springer International Publishing - Integration of RSM with grey based taguchi method for optimization of pulsed TIG welding process parameters
Asif Ahmad and Shahnawaj Alam
Elsevier BV - Parametric optimization of TIG welding using Response Surface Methodology
Asif Ahmad and Shahnawaj Alam
Elsevier BV - Process parameter optimization of pulsed tig welding using RSM
- Grey Based Taguchi Method for Optimization of TIG Process Parameter in Improving Tensile Strength of S30430 Stainless Steel
Asif Ahmad and S. Alam
IOP Publishing
Tungsten inert gas welding is popular known welding technique for ferrous & nonferrous. Stainless steel grade 3HQ (S30430) is a specialized wire grade with very wide usage for manufacturer of stainless steel fastener. It has now totally replaced Grade 384 and 305 for heading application. The stable austenitic structure makes 302HQ nonmagnetic, even after substantial cold work, and also results in excellent toughness, even down to cryogenic temperatures. This paper attempts in optimizing the Tungsten Inert Gas (TIG) welding process parameter. The effect of various parameters and their influence is important to determine the strength of welded joint. To obtain a good quality weld, it is therefore, essential to control the input welding parameters. Therefore appropriate selection of input welding parameter is necessary in order to obtain a good quality weld and subsequently increase the productivity of manufacturing industry. This paper present multi objective optimization using grey relation analysis (GRA) for S30430 with TIG process to determine the suitable selection of parameters Experiment were conducted according to Taguchi’s design of experiments (DOE) with orthogonal array L9 is used, mathematical model was developed using parameters such as speed (mm/min), current (Amp), voltage (V), depth of penetration (mm). After conducting experiment and collecting data, signal to noise ratio were determined by using Minitab18 and it is used to obtain optimum level for every input parameter. - Parametric optimization of TIG welding to determine welding strength of S30430 stainless steel
Asif Ahmad , Shah Nawaz Alam Asif Ahmad , Shah Nawaz Alam and
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