- R. Babu
- D. S. Robinson Smart
- G. Mahesh
- A. R. Sasieekhumar
- T. Somanathan
- A. Abilarasu
- S. V. Vadawale
- Arpit R. Patel
- Hitesh Kumar Adalaja
- N. P. S. Mithun
- Tinkal Ladiya
- Shiv Kumar Goyal
- Neeraj K. Tiwari
- Nishant Singh
- Sushil Kumar
- Deepak Kumar Painkra
- Y. B. Acharya
- Anil Bhardwaj
- A. K. Hait
- A. Patinge
- Abinandhan Kapoor
- H. N. Suresh Kumar
- Neeraj Satya
- Gaurav Saxena
- Kalpana Arvind
- Abhishek Kumar
- Saleem Basha
- Vivek R. Subramanian
- R. G. Venkatesh
- D. B. Prashant
- Sonal Navle
- S. V. S. Murty
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Shanmugam, M.
- Effect of Machining Parameters and Optimization of Machining Time in Facing Operation using Response Surface Methodology and Genetic Algorithm
Authors
1 Department of Mechanical Engineering, Karunya School of Mechanical Sciences, Karunya University, Coimbatore - 641114, Tamil Nadu, India, IN
2 Department of Mechanical Engineering, Sree Sakthi Engineering College, Karamadai, Coimbatore - 641104, Tamil Nadu, IN
3 Bimetal Bearings Limited, Coimbatore - 641 018, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 36 (2015), Pagination:Abstract
Optimum selection of machining parameters and its cutting conditions plays a major role in increase of productivity and minimization of total machining time. A significant improvement in process may lead to increase the process efficiency and low cost of manufacturing. In this research, Spindle speed, Feed rate, Depth of cut and End relief angle is considered as an input parameter for facing the A22E Bimetal bearing material using M42 HSS tool material. A second order mathematical model is developed using Design of Experiments (DoE) of Response Surface Methodology (RSM) to predict machining time on bimetal bearing material using special Industrial type of CNC lathe. The Analysis of Variance (ANOVA) was used to study the performance characteristics in facing operation. The values of Prob>F less than 0.05 indicate model terms are significant. Design Expert software is used to analyze the direct and interaction effects of the machining parameter. The genetic algorithm (GA) is trained and tested using MATLAB 7.0. The GA recommends 1.169 seconds as the best minimum predicted machining time value. The confirmatory test shows the second order regression predicted values and experimental values were very close and good agreement.
Keywords
Depth of Cut, End Relief Angle, Feed Rate, Genetic Algorithm (GA), Machining Time, Response Surface Methodology (RSM), Spindle Speed.- Visible Light Induced Heterogeneous Photo-Fenton Oxidation of Direct Blue 71 Using Mesoporous Fe/KIT-6
Authors
1 Department of Chemistry, AVS College of Technology, Chinnagoundapuram, Salem – 636 106, Tamilnadu, IN
2 Department of Chemistry, School of Basic Sciences, Vels University, Pallavaram, Chennai, 600 117, Tamilnadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 5 (2017), Pagination: 1455-1458Abstract
The present study deals with the synthesis of mesoporous Fe/KIT-6 and catalyst has been successfully tested for the heterogeneous photo-Fenton degradation of organic dye solutions under direct sun light. The physico-chemical properties of the catalyst were analyzed by XRD, N2 sorption studies, SEM and TEM. From the results we infer that the catalyst reveal excellent catalytic property for 97% removal of direct blue 71 within 75 mins, which could be attributed to the adsorptive power of Fe/KIT-6. With the advantages of rapid degradation and efficient magnetic separation, the synthesized material could gain a potential application in wastewater treatment and organic pollutant.Keywords
Mesoporous Material, XRD, Visible Light Driven Catalyst, Photo Fenton, Wastewater Treatment.- Solar X-ray Monitor Onboard Chandrayaan-2 Orbiter
Authors
1 Physical Research Laboratory, Ahmedabad 380 009, IN
2 Space Applications Centre, Ahmedabad 380 015, IN
3 U. R. Rao Satellite Centre, Bengaluru 560 017, IN
4 Laboratory for Electro Optics Systems, Bengaluru 560 058, IN
Source
Current Science, Vol 118, No 1 (2020), Pagination: 45-52Abstract
Solar X-ray Monitor (XSM) is one of the scientific instruments onboard Chandrayaan-2 orbiter. The XSM along with instrument CLASS (Chandra’s Large Area soft X-ray Spectrometer) comprise the remote X-ray fluorescence spectroscopy experiment of Chandrayaan- 2 mission with an objective to determine the elemental composition of the lunar surface on a global scale. XSM instrument will measure the solar X-rays in the energy range of 1–15 keV using state-of-the-art silicon drift detector. The flight model of the XSM payload has been designed, realized and characterized for various operating parameters. XSM provides energy resolution of ~180 eV at 5.9 keV with high time cadence of one second. The X-ray spectra of the Sun observed with XSM will also contribute to the study of solar corona. The detailed description and the performance characteristics of the XSM instrument are presented in this article.Keywords
Lunar X-Rays, Silicon Drift Detector, Solar X-Rays, X-Ray Spectrometer.References
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- Alpha Particle X-ray Spectrometer onboard Chandrayaan-2 Rover
Authors
1 Physical Research Laboratory, Ahmedabad 380 009, IN
2 Space Applications Centre, Ahmedabad 380 015, IN
3 U.R. Rao Satellite Centre, Bengaluru 560 017, IN
Source
Current Science, Vol 118, No 1 (2020), Pagination: 53-61Abstract
Alpha Particle X-ray Spectrometer (APXS) is one of the two scientific experiments on Chandrayaan-2 rover named as Pragyan. The primary scientific objective of APXS is to determine the elemental composition of the lunar surface in the surrounding regions of the landing site. This will be achieved by employing the technique of X-ray fluorescence (XRF) spectroscopy using in situ excitation source 244Cm emitting both X-rays and alpha particles. These radiations excite characteristic X-rays of the elements by the processes of particle induced X-ray emission and XRF. The characteristic X-rays are detected by the ‘state-of-the-art’ X-ray detector known as Silicon Drift Detector, which provides high energy resolution, as well as high efficiency in the energy range of 1–25 keV. This enables APXS to detect all major rock forming elements such as, Na, Mg, Al, Si, Ca, Ti and Fe. The flight model of the APXS payload has been completed and tested for various instrument parameters. The APXS provides energy resolution of ~135 eV at 5. 9keV for the detector operating temperature of about –35°C. The design details and the performance measurement of APXS are presented in this paper.Keywords
Alpha Particle X-Ray Spectrometer, CSPA, Silicon Drift Detector, X-Ray Spectrometer.References
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