Investigation and Optimization of WEDM Parameters for 15CDV6 Using RSM
The aerospace, defence, automotive, nuclear, and electrical industries all make extensive use of 15CDV6 HSLA steel due to its great strength, durability, and ability to function in extreme conditions. The machining condition of a material have been reduced under the enhancement of the electrode wear rate, machining quality. This paper explains about the machining condition of the particular material by optimizing the parameters using RSM (Response Surface Methodology). It implies the quality, strength and productivity under the machining condition using EDM (Electro Discharge Machining) process for continuous cutting and the development of the specimens exhibits the selecting the proper parameters and improves the surface roughness for various condition. In this methodology the mathematical expression implies the importance of the parameters of a material under various conditions and associated with the optimal results. The significance of the improvement of the cutting process implies the high material removal under low surface condition. It implies the sustainability of the given input parameters and desired responses were checked in RSM analysis. It provokes the better mechanical properties of a 15CDV6 HLSA steel material and develops the machining area. It results 77.5% contribution in cutting of a material under Pulse-On Time, Pulse-Off Time, Gap and Input Current of the machining condition and sustain the out parameters in RSM procedure. This investigation implies and deep insights of a material under surface roughness and have been performed in ANOVA.
Authors
- D. Raja
- G. Bhanodaya Reddy (ORCID: https://orcid.org/0000-0003-1502-4526)
- P. Hema (ORCID: https://orcid.org/0000-0003-2968-3709)
Institutions
- Sri Venkateswara University (IN)
Publication Details
- Journal
- International Journal of Computational and Experimental Science and Engineering
- Published
- 2025-09-29
- DOI
- https://doi.org/10.22399/ijcesen.3968
- Primary Topic
- Advanced Machining and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00