Bøker av Sivanaga Malleswararao Singu

Comprehensive Data Collection: Gathering mathematical correlations for various materials such as HSS, HC-HCr, Titanium, Inconel X-750, Graphite, Copper, Brass, Tungsten Carbide, Aluminium, and Al-Mos2 MMC.Mobile Application Development: Creating a mobile app for Android devices, enabling users to input desired material and thickness. The app generated optimal values for Machining current, Cutting speed, Spark gap, Power, Surface finish, and MRR. These values could be directly input into any WEDM machine for enhanced results.App Store Publication: After rigorous testing and validation, the applications were prepared for publication on their respective app stores(Android, iOS, Windows) ensuring accessibility to a wide range of users.

EDM is one of the unconventional machining process which is used widely in tooling sector. In EDM, it is necessary to optimize the process parameters such as pulse on-time, pulse off-time, discharge current and voltage for maximization of MRR and minimization of Tool Wear Rate (TWR) for various work piece materials. Titanium (Ti¿6Al¿4V) and HC-HCr Steel are considered for the experimentation in the present research as these are widely used aerospace, robotics, automotive and tooling sectors. DOE have been conducted at different levels of pulse on-time, pulse off-time, discharge current and voltage. The design of experiments is carried out by varying the input parameters and derived the optimal mathematical correlations to get maximum MRR and minimum TWR. Copper and EDM oil are used as electrode and di-electric fluid respectively. Experimental results of MRR and tool wear rate were analyzed with responses surface methodology and presented various graphs. Interaction effect of process parameters on the responses has been discussed. MR optimization technique was used to optimize process parameters for minimum surface roughness and tool wear rate and maximum MRR.