@dbatu.ac.in
Department of Mechanical Engineering
Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra
Scopus Publications
Scholar Citations
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Yogesh H. Bhosale, Shrinivas R. Zanwar, Syed S. Ali, Nagesh S. Vaidya, Rajesh A Auti, and Deepakkumar H. Patil
IEEE
Globally, more than 19,000 fungi are reported to infect agricultural crops with diseases. As the supplier of human energy, crops are seen as being significant. Plant diseases can harm leaves at any point during planting and harvest, greatly reducing crop productivity and the general market’s financial worth. Consequently, the early diagnosis of leaf disease is crucial in farmlands. Agriculture profitability is a key factor in economic growth. This is among the causes why plant disease identification is crucial in the farming sector, as the presence of illness in plants is extremely common. If necessary precautions aren’t followed in these regions, plants suffer major consequences, which impact the grade, volume, or production of the corresponding products. For example, the United States has pine trees that are susceptible to a dangerous illness called small-leaf disease and the backbone of the Indian economy is crop plants. It is advantageous to diagnose plant diseases (Black Spot, other leaf spots, powdery mildew, downy mildew, blight, and canker) using an automated method since it lessens the amount of manpower required to maintain megafarms of crops and does so at an incredibly preliminary phase(when they appear on plant leaves). The computerized identification and classification of plant leaf diseases using an imagery segmented system is presented in this work. It also includes an overview of various disease categorization methods that can be applied to the identification of plant leaf diseases. In order to detect disorders in diverse plant leaves, this study provides a review of diverse plant diseases and several classifying algorithms in deep machine learning.
Deepakkumar Patil, Shrikant Thorat, and Mudigonda Sadaiah
Informa UK Limited
S.P. Khandke, A. Surve, D. Patil, A.S.S. Balan, P. Kuppan, and R. Oyyaravelu
Elsevier BV
Abstract Monel-400 is a Nickel based super alloy which comes under the category of Difficult To Grind material (DTG) due to its significant properties like high hardness, high hot strength, high strain hardening and less thermal conductivity. The lubrication system in grinding process requires a continuous monitoring of the quality of emulsion to resists a desired grinding environment and it is necessary to maintain an effectively lubricated wheel-work interface. The current study aims to assess the grindability of Monel under various grinding environment such as cold air, Minimum Quantity Lubrication(MQL) and MQL with cold air. Along with it, grinding force, temperature, surface roughness, coefficient of friction was also measured. The results show, grinding with combination of MQL with cold air lowers the temperature to great extent. The surface roughness (Ra) value for MQL with cold air condition is 45–50% less over dry grinding, 35–38% less over cold air condition & 7–10% less over MQL cooling environment. Also, lesser value of coefficient of friction (µ), indicates the ease of grinding operation. Chemical affinity between wheel and workpiece interface, traces of workpiece material sticking to abrasive wheel was also observed.
Deepakkumar H. Patil, Shrikant B. Thorat, Rohit A. Khake, and Sadaiah Mudigonda
Elsevier BV
Abstract In this study, Monel 400 was machined using etchants, like ferric chloride (FeCl3) and cupric chloride (CuCl2) at different temperatures, concentration and type of geometry (viz. circular, hexagonal, square, rectangular and triangular). The study focuses on the comparative impact of input process parameters in perspective of depth of etch, undercut, and weight loss. Comparative study of FeCl3 and CuCl2 determines that the overall performance is better for ferric chloride etchant. The undercut observed in FeCl3 was more than CuCl2, but the better geometrical accuracy found with CuCl2 etchant solution. Type of geometries responsible for the depth of etch and weight loss. Triangular geometry shows higher weight loss and depth of etch. Higher weight loss and depth of etch is observed with FeCl3 than CuCl2 etchant. The weight loss and depth of etch increases from 0.0504 g to 0.0737 g and 0.0436 μm to 0.1547 μm respectively for FeCl3 for circular, hexagonal, square, rectangular and triangular shapes. Similarly, for CuCl2 these values are 0.0386 g to 0.0686 g and 0.0236 μm to 0.117 μm respectively.
Deepakkumar Himmatrao Patil and Sadaiah Mudigonda
Informa UK Limited
ABSTRACT In this study, microchannels with widths of 60, 100, 150, 200, and 250 µm were fabricated on the surface of Monel 400 alloy, and the effect of the rolling direction on the surface finish and etching depth was investigated. The obtained results revealed that the quality of the microchannel surface finish was better along the rolling direction than across the rolling direction, owing to the grain boundary orientations along the (001) plane. In addition, the etching depth increased along the rolling direction due to the presence of residual stress and plastic strain, which ultimately improved the microchannel quality.
Deepakkumar H. Patil and Sadaiah Mudigonda
Hindawi Limited
The present paper describes the effect of the rolling direction on the quality of microchannels manufactured using photochemical machining (PCM) of Monel 400. Experiments were carried out to fabricate microchannels along and across the rolling direction to investigate the effect of the grain orientation on microchannel etching. The input parameters considered were channel width and rolling direction, whereas the depth of etch was the response parameters. Different channels of widths of 60, 100, 150, 200, and 250 μm were etched. The effects of the etching time and temperature of the etchant solution on the undercut and depth of the microchannels were studied. For good quality microchannels, the effects of spinning time, spinning speed, exposure time, and photoresist film strength were also taken into consideration. Optimized values of the above were used for the experimentation. The results show that the depth of etch of the microchannel increases more along the rolling direction than across the rolling direction. The channel width and depth are significantly affected by the etching time and temperature. The proposed study reports an improvement in the quality of microchannels produced using PCM.
Deepak M. Naigade, Deepakkumar H. Patil, and Mudigonda Sadaiah
Inderscience Publishers
Generally, hard turning requires large quantity of coolants and lubricants. In the present study, minimal quantity lubrication (MQL) is used for cooling in turning of hardened alloy steel AISI 4340 (45 HRC) with CBN insert of MT KB 5625 grade. The effect of MQL environment on surface roughness, cutting force components is studied and compared with dry and wet environments. The experiments were conducted using Taguchi L18 (21 × 37) mixed orthogonal array. Analysis of variance (ANOVA) of the experimental results shows that depths of cut and cutting environment have statistically 95% significant effect on the cutting force components. The cutting environment is statistically significant at more than 95% confidence level on the surface roughness value (Ra). The surface finish, Ra value for dry and wet turning were 0.49 μm and 0.47 μm, respectively and whereas in MQL turning it is 0.36 μm. It was also observed that tightly coiled chips were formed and can be handled easily during MQL. The study indicates that MQL technique can be environment friendly and form a viable alternative to conventional wet turning.