Purpose In electrical discharge machining (EDM) process, EDM oil used as a dielectric fluid plays an important role in determining quality of the operation, serving medium to generate controlled discharges, quenching cool down and solidify eroded gaseous particles, removal solidified waste, lubrication absorb remove heat generated at zone. Due presence numerous decisive factors, no single (mainly form oil) meets all required characteristics during real-time operation. Thus, this paper...

In the context of supply chain management, supplier selection can be defined as process by which organizations score and evaluate a range alternative suppliers to choose best possible one who provide superior quality raw materials at cheaper rate lesser lead time. It is decision making with multiple trade-offs between various conflicting criteria in turn helps identify suitable that would establish robust assisting maintaining competitive edge. The main objective thus focused on reducing...

Plasma arc cutting (PAC) has evolved as an efficient process to cut complex profiles on many hard-to-machine engineering materials due its advantages, like higher dimensional accuracy, productivity, and the capability thick materials. Optimization of this is challenging existence input parameters, mechanism, interactions parameters with responses. In paper, applications four newly developed multicriteria decision-making (MCDM) tools, i.e., Proximity Indexed Value (PIV), Evaluation by...

Abstract Attaining green environment for various machining processes has now caught the attention of many manufacturing industries. The input parameters involved in those are mainly responsible achieving desired performance as they directly related to process outputs. Hence, proper selection becomes vital having sustainable environment. In this paper, an integrated application step-wise weight assessment ratio analysis (SWARA) and combined compromise solution (CoCoSo) methods is presented...

Purpose The purpose of this paper is to exploit the fullest potential and capability different non-traditional machining (NTM) processes, it often recommended operate them at their optimal parametric combinations. There are several mathematical tools techniques that have been effectively deployed for identifying mixes NTM processes. Amongst them, grey relational analysis (GRA) has become quite popular due its sound basis, ease implement apprehensiveness multi-objective optimization...

Wire electro discharge machining (WEDM) is a versatile non-traditional process that extensively in use to machine the components having intricate profiles and shapes. In WEDM, it very important select optimal parameters so as enhance performance. This paper emphasizes selection of parametric combination WEDM while on EN31 steel, using grey-fuzzy logic technique. Process such servo voltage, wire tension, pulse-on-time pulse-off-time were considered taking into account several multi-responses...

Purpose To meet the requirements of high-dimensional accuracy and surface finish various advanced engineering materials for generating intricate part geometries, non-traditional machining (NTM) processes have now become quite popular in manufacturing industries. explore fullest capability these NTM processes, it is often required to operate them while setting their different controllable parameters at optimal levels. This paper aims present a novel approach selection parametric mixes order...

Higher dimensional accuracy along with better surface finish of various advanced engineering materials has turned out to be the prime desideratum for present day manufacturing industries. To achieve this, non-traditional machining (NTM) processes have become quite popular because their ability produce intricate shape geometries on diverse difficult-to-machine materials. allow these operate at fullest capability, it is often recommended set different input parameters optimal levels. Thus, in...

Purpose Grey relational analysis (GRA) has already proved itself as an efficient tool for multi-objective optimization of many the machining processes. In GRA, distinguishing coefficient ( ξ ) plays important role in identifying optimal parametric combinations processes and almost all past researchers have considered its value 0.5. this paper, based on experimental data, application GRA is extended to dynamic (DGRA) optimize two electrochemical (ECM) Design/methodology/approach Instead a...