No abstract

Incremental Sheet metal Forming (ISF) is a reliable process of converting a blank to work piece with better outputs compared to conventional forming process. The flexibility of ISF in producing the rapid prototype based on the customer needs is increased which is also desirable in the industry. But Single Point Incremental Forming (SPIF) process takes more time to form a product and hence the longer time is a barrier in implementing this process in industries. In this research work, the ISF process was made on sheet metal SS 202 using a newly designed multi-point tool and the obtained outputs were compared with the same material of sheet metal formed by traditionally available single point tool. This Multi Point Incremental Forming (MPIF) process takes lesser process time to give better formability, improved wall angle and good surface roughness. The input process parameters selected for the process are type of tool, speed, feed, Vertical Step Depth (VSD), and lubrication. They are arranged by using the taguchi Design of Experiments (DOE) approach. The responses considered are wall angle, formability, surface roughness, spring back and forming time. The multiple outputs obtained were optimized by Grey Relational Analysis (GRA) to predict the superior parameter. Confirmation test was also made to validate the output result. Fractography analysis was carried out to predict the fracture mechanism obtained during the forming process. The surface topography was also made on the surface of the formed area of the sheet metal. This research work concludes that newly designed MPIF outperforms SPIF.

No abstract

No abstract

No abstract

Development in the field of materials brings numerous newer grades, but the machinability studies over those materials have to be done. Drilling is the major manufacturing process which covers around 25% of machining processes. Magnesium AZ31 is considered for the present investigation to perform the drilling operation. Control over the responses like circularity, perpendicularity and cylindricity will improve the life of fastening element due the reduction of compressive and shear stress. The deviation of above responses will increase compressive and shear stress leads to fatigue and also increases the assembling time. This work concentrates on the reduction of such distinctive properties. Empirical model was developed to find the responses for the usage of process planning engineer, later optimization carried out through Desirability Function Approach (DFA). The multi objective optimization suggesting the spindle speed of 1100.02 rpm, the feed rate of 0.038 mm/rev. and the drill diameter of 6 mm for minimizing all the responses considered. Similarly Grey Relational Analysis (GRA) applied to reduce the responses. Evaluation made between DFA and GRA which highlights the superiority of GRA for circularity and cylindricity. The DFA be the superior technique for minimizing the perpendicularity.

No abstract

No abstract