Publications by authors named "Ranjan Kumar Ghadai"
Aerospace and marine industries are constantly in search of materials that can provide good strength and durability while also being lightweight. Aluminium composites with adequate reinforcements have been proven to be effective in achieving incredible mechanical properties while also maintaining a good strength to weight ratio. Numerous studies have been done to study the various possibilities of matrix reinforcement combinations in aluminium composites.
View Article and Find Full Text PDFMonel K-500 is a high-performance superalloy composed of nickel and copper, renowned for its exceptional strength, hardness, and resistance to corrosion. To machine this material more precisely and accurately, Electrical Discharge Machining (EDM) is one of the best choices. In EDM, material removal rate (MRR) and electrode wear rate (EWR) are crucial performance parameters that are often conflicting in nature.
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- Titanium nitride (TiN) thin film coatings were created on a silicon substrate using the atmospheric pressure chemical vapor deposition (APCVD) method to study how varying the deposition time impacts their characteristics.
- Characterization techniques like scanning electron microscopy (SEM), atomic force microscopy (AFM), and nanoindentation were used to assess the coatings’ morphology, surface roughness, and mechanical properties.
- Results indicated that longer deposition times resulted in increased surface roughness and enhanced mechanical properties (nanohardness and Young's modulus) while showing some imperfections like cracks and pores in the TiN structure.
The popularity of micro-machining is rapidly increasing due to the growing demands for miniature products. Among different micro-machining approaches, micro-turning and micro-milling are widely used in the manufacturing industry. The various cutting parameters of micro-turning and micro-milling has a significant effect on the machining performance.
View Article and Find Full Text PDFIn this article, an improved variant of the cuckoo search (CS) algorithm named Coevolutionary Host-Parasite (CHP) is used for maximizing the metal removal rate in a turning process. The spindle speed, feed rate and depth of cut are considered as the independent parameters that describe the metal removal rate during the turning operation. A data-driven second-order polynomial regression approach is used for this purpose.
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