Abstract
ABSTRACT Incremental sheet metal forming (ISF) is` a versatile manufacturing process carried out without the help of a die and is one of the most sought-after research areas. This research work provides a deep investigation into the impact of input parameters on formability and surface roughness. A Multipoint Incremental Forming (MPIF) tool is used in this work. Through MPIF, better surface finish and improved formability can be achieved. Also, the time required for metal forming can be reduced. The main goal in this work is to obtain improved formability and excellent surface finish in the MPIF process. Response Surface Methodology (RSM) and Multi-Objective Genetic Algorithm (MOGA) are used in this work to find the optimum combination of process parameters, including sheet thickness, vertical step depth, speed and feed rate to obtain improved formability and surface finish.
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