Optical Methods in Experimental Mechanics, Digital Image Correlation, Magnetorheological fluid application in Manufacturing
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Scopus Publications
Scopus Publications
Mechanical, physical, and optical characteristics of Al/TiAlXN-based coatings Mahesh Kumar Sah, A. Vijaya Sustainable Surface Engineering Approaches for Industrial Applications Sustainable Coating Solutions, 2026 High-temperature oxidation and thermal softening of metallic coatings in optical applications is a growing concern. Recently, a lot of research has gone into developing hard, long-lasting coatings that work well at higher temperatures. The alloyed tripartite TiAIN films with various elements improve coating properties at high temperatures through solid solution hardening, grain refinement, novel phases, diffusing obstacles, and self-lubricating trioxides. These studies discuss quaternary TiAlXN coatings’ microstructure; thermal stability; reflectivity and oxidation behavior; and mechanical, optical, and wear properties. Deposition parameters, chemical composition, high-temperature annealing, and coating architecture are all factors that are investigated in this area to see how they influence coating quality. This work also examines quinary TiAlCrSiN coatings to further understand how Si and Cr additions synergistically affect TiAlN. TiAlXN coatings with different deposition techniques are compared for maximal hardness and plastic deformation resistance (H/E and H 3/E 2). This Chapter mainly illuminates the coatings’ issues and future research potential.
Optimizing highly reflective CNC abrasive polishing on aluminum sheets Mahesh Kumar Sah, Vijaya A Materials and Manufacturing Processes, 2024 The polishing industry’s demand for achieving a smooth, highly reflective surface, flat, particle-free metallic surface, crucial for imaging and optical applications has increased. As aluminum metallic mirrors are more in demand, an eco-friendly, cost-effective mechanical polishing procedure that can be carried out on a CNC milling machine is proposed. The proposed CNC Abrasive Polishing (CNC AP), performed on CNC machines achieves 3 nm roughness average with high reflectivity on aluminum sheets. The influence of machining parameters, such as including polishing wheel speed (S), depth of cut (DoC), feed rate (FR), and passes, to evaluate the surface quality (Ra), material removal rate, and reflectance were studied, using Response Surface Methodology. The experiments were conducted based on the L16 orthogonal array. A 3D optical profilometer, an atomic force microscope (AFM), and a scanning electron microscope (SEM) with EDS are among the advanced tools used for analyzing polished surfaces. UV-VIS spectrophotometer measurements indicated a substantial 35% to 96% improvement in the optical qualities. Additionally, a simple visual reflective grid method was used to assess the deformation behavior of the reflective Al sheets.
Experimental studies on reflective finishing of aluminum sheet by CNC abrasive lapping Mahesh Kumar Sah, Vijaya. A Materials and Manufacturing Processes, 2024 This study focuses on improving the surface properties of Aluminum (Al) sheets for imaging and optical applications. To achieve high efficiency and low damage, novel CNC abrasive lapping (CNC AL) techniques were proposed and tested. The experiments investigated the impact of various parameters, such as spindle speed, feed rate, and depth of cut, using two types of abrasives (PCD and hybrid PCD with Al2O3) on the surface quality (Ra) and reflectance (R) of the Al sheets. Optimal parameters were determined using Taguchi L9 and (S/N) analysis, favoring low spindle speed, low feed rate, and high depth of cut. Surface roughness was measured with Surfcom1400G, while SEM EDX, AFM, and 3D profilometer were used to assess surface microstructures. Significant improvement of 35-96% was observed in the highly reflective Al sheets using UV-VIS spectrophotometry and texture analysis in MATLAB.
Relevance of constant intensity distribution to contouring reflecting plates with Intensity Integration Technique Arpn Journal of Engineering and Applied Sciences, 2018
