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, Parveen Kumar Smart Electric and Hybrid Vehicles Fundamentals Strategies and Applications, 2024 EVs (electric vehicles) are emerging globally since pollution by ICE (internal combustion engine) vehicles has a global effect on the universe, to save the environment globally, the automobile industry are switching from ICE vehicles to EVs. In this research study, we focused on determining the optimum combination of lithium-ion battery parameters for the EV range. Therefore, four input parameters are taken, such as specific energy (Wh/kg), specific power (W/kg), and energy density (Wh/L). L9 OA (orthogonal array) of the Taguchi method is used for experimenting. ANOVA is used to determine the percentage contribution of each input parameter. Taguchi methodology is used to obtain the best combination of input parameters for an efficient and effective range of EV per charger. This study would be helpful for electric vehicle owners to understand the best combination of inputs to get an effective and efficient range of EVs before driving the vehicle.
Grey Based Taguchi Method for Optimization of TIG Process Parameter in Improving Tensile Strength of S30430 Stainless Steel Asif Ahmad, S. Alam Iop Conference Series Materials Science and Engineering, 2018 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.