- Advanced machining processes and optimization
- Tribology and Lubrication Engineering
- Advanced Surface Polishing Techniques
- Additive Manufacturing Materials and Processes
- Laser Material Processing Techniques
- Enzyme-mediated dye degradation
- Metal and Thin Film Mechanics
- Microbial Metabolism and Applications
- Metal Alloys Wear and Properties
- Additive Manufacturing and 3D Printing Technologies
- Advanced Machining and Optimization Techniques
- Diamond and Carbon-based Materials Research
- Adhesion, Friction, and Surface Interactions
- Advanced materials and composites
- Nematode management and characterization studies
- Water Quality and Pollution Assessment
- Microencapsulation and Drying Processes
- Diverse Scientific Research Studies
- Drug Solubulity and Delivery Systems
- Tunneling and Rock Mechanics
- Dyeing and Modifying Textile Fibers
- Freezing and Crystallization Processes
- Slime Mold and Myxomycetes Research
- Surface Treatment and Residual Stress
- Agriculture, Plant Science, Crop Management
Indian Institute of Technology Kanpur
2023-2025
Indian Association for the Cultivation of Science
2024
Basque Center for Applied Mathematics
2022
University of the Basque Country
2022
Indian Institute of Technology Delhi
2016-2021
Govind Ballabh Pant University of Agriculture and Technology
2021
Dr. A.P.J. Abdul Kalam Technical University
2017
The present study investigates the milling of Inconel 718 (IN718) alloy fabricated using laser powder bed fusion (LPBF). Finish has been performed Al-rich ternary-coated end mills under different lubri-coolant environments. An indigenously developed Cryo-MQL technology for greener manufacturing employed. Machinability results have evaluated in terms forces, tool wear progression, mechanisms, surface roughness, sub-surface damages and chip characteristics. MQL conditions reduced forces by...
The subject of surface texturing has been one the most sought and rigorously researched domains interest for research community in manufacturing field a few decades. reason this is potential applications techniques various sectors services. One foremost where proven to be highly beneficial cutting tool manufacturing. There are several other like fabrication aerospace marine structures still not well established. Unlike these applications, metal established documented by researchers level get...
Proteases or peptidases constitute the largest group of enzymes in bio industry with a long array uses. They play an invincible role industrial biotechnology, especially detergent, food and pharmaceutical arena. Interest has been growing microbial proteases which have eco friendly as well commercial importance. This focused review encompasses overview on proteases, mainly sources handy module. Its classification evolutionary insight, major (animal, plant including fungal, bacterial), their...
The present work investigates the effect of cryogenic coolant on machining Ti6Al4V alloy with plain and laser textured carbide cutting tools. tools were used for under dry conditions, results compared Cutting forces, average tool temperature, interface wear predicted help FE simulations. Results show a reduction in temperature conditions. FEM simulations microscopic inside around textures nearly 50% has been obtained cooling.
Tool wear has been a potential problem that costs high for the manufacturing industry. In past there application of signal processing techniques to cutting operation and monitor tool wear. This paper relates suitability wavelet transform prediction. The fast Fourier (FFT) discrete (DWT) process signals from machining was investigated. To accomplish this objective, experiments were carried out collect thereafter processed using FFT transform. It is observed at higher speeds, more effective...
The microstructure-supported design of engineering components is recently gaining attention due to their high strength-to-weight and stiffness-to-weight properties. present study investigates the hybrid manufacturing Inconel 718 curved thin walls with internal microstructural supports fabricated by laser powder bed fusion (LPBF). Printed contain a fixed curvature thickness, whereas microstructures were varied at different inclination angles. In this research, finish milling operation has...
The process parameters influencing the production of extracellular laccases by Streptomyces lavendulae were optimized in submerged fermentation. It was made to screen, enhance and laccase enzyme produced consortium producing lavendulae. To date, connect mostly been independently characterized from flora fauna fungi unaided fungal are used currently biotechnological applications. In contrast, minute is known just approximately bacterial laccases, although recent immediate assume ahead...
This handy, pocket-size mobile transmission detector or sniffer can sense the presence of an activated cell phone from a distance one and-a-half meters.So it be used to prevent use phones in examination halls, confidential rooms, etc.It is also useful for detecting Spying and unauthorized video transmission.The circuit detect incoming outgoing calls, SMS even if kept silent mode.The moment Bug detects RF signal phone, starts sounding beep alarm LED blinks.The continues until ceases.Assemble...
Tool wear has been a potential problem that costs high for the manufacturing industry. In past there application of signal processing techniques to cutting operation and monitor tool wear. This paper relates suitability wavelet transform prediction. The fast Fourier (FFT) discrete (DWT) process signals from machining was investigated. To accomplish this objective, experiments were carried out collect thereafter processed using FFT transform. It is observed at higher speeds, more effective...
Textile dyes are an important class of synthetic organic compounds and are, therefore, common industrial pollutants. They produced in large scale may enter the environment during production or later on fiber dying. Thus, there is a need for developing treatment methods that were more effective eliminating from textile waste soil as its source. Staphylococcus saprophyticus was isolated plant selected most active dye degrader 11 isolates. The parameters including temperature, pH, carbon...
This study uses machine learning (ML) techniques to predict maximum flank wear on cutting tools during the turning of Ti6Al4V, a titanium alloy known for its challenging machinability. We used three models (a) support vector machines (SVM), (b) random forests (RF), and (c) neural networks (NN) wear. The machining parameters are taken as input data sets, which compromise speed, feed, time. All experiments done at constant depth cut an output variable. forecasted was validated using...