Sri Ramakrishna Engineering College

About: Sri Ramakrishna Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Control theory. The organization has 1030 authors who have published 843 publications receiving 3822 citations.

Quantum Effects, CNTs, Fullerenes and Dendritic Structures

Abstract: Nanostructural materials have wide classification of structures based on their fabrication methods. Fullerenes are close-caged molecules containing only hexagonal and pentagonal interatomic bonding networks. Carbon nanotubes are large, linear fullerenes with aspect ratios as large as 103–105. Nanotubes as many derivatives like nanocones, nanosprings, etc. The chapter detailed about different nanostructures and its properties.

Design and Analysis of 2.4GHz Rectangular Inset fed Microstrip Patch Antenna for Wi-Fi and WLAN Applications

Abstract: In this paper, the design of rectangular inset fed microstrip patch antenna is presented, which is the most commonly used device in modern communication systems. The antenna design focuses on the Wi-Fi and Wireless Local Area Networks (WLAN) application with the operating frequency of 2.4GHz. The most widely researched area in the wireless technology is the operation of the antennas which are to be light weight, cost efficient and needs improvement in antenna parameters such as return loss, gain, radiation pattern, directivity and especially impedance matching for better performance so that the overall performance of the communication system improves. The optimized antenna design parameters provides better results in comparison with the actual design parameters. The antenna design showed a better return loss of −25dB and the antenna parameters such as radiation pattern, directivity, gain, radiation efficiency and bandwidth are obtained. The improved bandwidth of the patch antenna design can be used for wide band communication applications.

Controlled mechanical ventilation for enhanced measurement in pressure and flow sensors

Abstract: The safe use of a mechanical ventilator should be followed by the fascination of intensivists with different respiratory function parameters. Naturally, this leads to the fact that these parameters should be monitored carefully and accurately. This work describes the monitoring of pressure and flow sensors in ventilation. Although end-tidal CO2 surveillance has become regular in the ICU, it is typically achieved by hold control modules incorporated into the monitoring a machine pumps the necessary amount of air through the lungs when the lungs need encouragement to take in air. Nowadays pressure sensors used in ventilators are of strain gauge type. Variable inductance type is used often in the machine. Ventilators are the pressure bag using a feedback loop from the patient's own breath, they regulate the air volume, pressure, and rate and flow in part. Oxygen ventilation systems use pressurized tanks of pure medical oxygen combined with filtered oxygen because patients with lung damage cannot obtain enough oxygen in the blood from ambient air. Moisturized ambient air to provide the patient with an oxygen-rich mixture of air. Up to 100% oxygen may be needed, depending on the severity of the trauma. The proposed work of this paper is the usage of PID controller, PID based Tyreus Luyben method to improve the pressure, flow of the ventilator. Gaussian Process Regression is used to train the samples and to minimize the error performance of the controller.

Biosensors and its Transducers

Abstract: The practice of medicine has changed dramatically over the past decades with the drastic development in the field of biosensors. It had a significant impact on all aspects of the healthcare sector. The concern about the detection of chemical or biological important compounds and their need is expanded from clinical diagnostics to personal care/point care devices. Assessment of health and functioning is one of the growing apprehensions in the common population. With the expanding of technology every day, it is possible to take healthcare technology to the doorstep of the patient. Consider a few examples that are important in today’s lifestyle: a diabetic monitor/glucometer, pregnancy strips, insulin drug administrator, biochips, etc. Other significant developments include the use of protein/other biomolecules as a device component (biorecognition element) rather than constituents of a living cell and the application of production methods such as screen printing that can manufacture a very large number of sensors with a high degree of reproducibility. These studies had further become a prerequisite for design and development in biosensors field to emerge as a commercial product from the laboratory. The application of biosensors now has also broadened with time from clinical diagnostics to environmental monitoring, food industry, agriculture, textile industry, water management and many more.

Predictive Model for Circularity Error of Drilling on GFRP Composite Laminates Using Fuzzy Logic

Abstract: Glass Fiber Reinforced Plastics composites have an increased application in recent days, due to its enhanced structural properties, Mechanical and thermal properties. Drilling of holes in GFRP becomes almost unavoidable in fabrication. The heterogeneous nature of this kind of materials makes complications during machining operation. However, drilling is a common machining practice for assembly of components. The quality of holes produced in the GFRP material is severely affected by surface roughness, Circularity, Delamination, etc. The objective of the study is to apply the full factorial design and Fuzzy logic model to achieve an improved hole quality considering the minimum Circularity error through proper selection of drilling parameters. The experimental investigation values are compared with predicted fuzzified values and found that they are in good correlation with each other.