College of Engineering, Pune

About: College of Engineering, Pune is a based out in . It is known for research contribution in the topics: Sliding mode control & Control theory. The organization has 4264 authors who have published 3492 publications receiving 19371 citations. The organization is also known as: COEP.

The thermal gravimetric studies for polymer samples of polyvinyl chloride (PVC) and polyvinyl alcohol (PVA) obtained by treatment with ionic liquid [bmim]Br

Abstract: The development related to the effective degradation or recycling of polymeric material are of high priority in research because of solid waste removal problems in the environment and to establish sustainable conditions. Ionic liquids having low vapour pressure and other useful properties are finding increasing applications in the field of polymer science. In the present report, we describe the studies related to the plasticizing effect of simple 1-butyl-3-methyl-imidazolium bromide (an ionic liquid) on polyvinyl chloride. The admixtures of PVC and IL were subjected to heating (353–453 K) as a function of time (1–7 h). The resulting product stability was studied by TGA. Similar studies were carried out with PVA via glycolysis, i.e. in presence of ethylene glycol and products obtained were studied by TGA. Our results indicate that the addition of ionic liquid stabilizes the polyvinyl chloride and prevents liberation of HCl, while the polyvinyl alcohol gets degraded rapidly. These findings support the hypothesis of solubilization and degradation depending upon structural characteristics of polymeric molecules. The implications of these findings are discussed in terms of electrostatic, ion dipole and H-bonding interactions within polymer molecules influenced by thermal energy effects.

Design and development of Switched Reluctance Motor for electric vehicle application

Abstract: Wide torque-speed range and high reliability are the primary need of the traction motor in electric vehicles. Switched Reluctance machine (SRM) offers numerous advantages such as simple and robust construction, high speed and high durability, low cost, and fault tolerance control capabilities, high reliability as each phase works independently. In view of this, the paper describes the design methodology of 8/6, 7.5 kW, 4000 RPM ‘Saturated SRM’, which allows high energy conversion ratio for the converter. The design step verification of the motor winding inductance at different rotor positions from unaligned to aligned position and static flux-linkage characteristics is carried out. Design verification and performance calculation are carried out using finite element analysis method using Ansys Maxwell Software. Flux distribution is managed efficiently to minimize losses. The mechanical design of motor is done considering the stresses and forces exerted on the motor structure, which involved the drive arrangement used. In order to make the design process more efficient Ansys Simplorer software is used to analyze the performance verification of motor for converter control system. The same design procedure was carried out to design another low voltage 3.5 kW SRM. The paper presents the comparison of proposed machines with the Induction motors of the same outer geometrical dimensions.

Intelligent traffic signal synchronization using fuzzy logic and Q-learning

Abstract: In the past decade, urban traffic has increased tremendously. As a result, the urban population has to invest more time in traveling. Increased road traffic results in an increased number of road accidents and more consumption of fuel, thus wasting energy. Hence for solving this issue, this paper proposes a traffic signal synchronization system which takes real time traffic signal data as input and with the implementation of multi-agent fuzzy logic, it introduces the design of an intelligent system which would smoothen the overall road traffic of the city. Fuzzy system is capable of handling the various levels of uncertainties found in the input data taken from the traffic signals. Since fuzzy logic system needs expert knowledge for its rule base and the rule base remains unchanged once defined, this paper adds up Q-learning module so that the system learns by itself by updating the set of rule base.

Role of defects in enhancing room temperature ferromagnetism of Mn doped ZnO nanoparticles

Abstract: The soft chemical route was used in the synthesis of undoped and 5% Mn doped ZnO nanocrystalline powders. XRD, TEM, TGA/DTA, FTIR, and superconducting quantum interference device techniques were used to study the structural, nano/microstructural, thermal decomposition and metastability aspects as a function of calcination temperatures (400–1100 °C) and magnetic properties. The evolution of the major wurtzite phase (ZnO) and minor non-stoichiometric nanocrystalline defect cubic spinel phase (ZnMnO3–δ) at various temperatures is clearly seen. The magnetic hysteresis loop is observed at room temperature in the undoped and doped samples calcined at 400 °C. Interestingly, the hysteresis loop parameters (Ms, Hc) are found to enhance dramatically as soon as the concentration of the minor phase is large enough up to the calcination temperature 700 °C. In contrast, the magnetic hysteresis loop vanishes slowly for the sample calcined at 1000 °C, it disappears completely. The room temperature ferromagnetic behavior at 400 °C is understood in terms of intrinsic cationic/anionic defects, extrinsic defects associated with the various species chemisorbed on the surface of the nanoparticles of undoped and Mn doped ZnO. During thermal annealing a nanocrysatllline seconadary phase of non-stoichiometric defect cubic spinel ZnMnO3–δ is formed, contributing to the enhancement of ferromagnetic behavior. All our experimental results are discussed in terms of model comparing various structural and localized electronic defects formed in the nanocrystalline powder.

Acoustic Noise Cancellation Using Adaptive Filters: A Survey

Abstract: This paper provides a comprehensive coverage of available literature on various adaptive filtering techniques used for Acoustic Noise Cancellation (ANC). ANC has applications in wide variety of problems in industrial operations, manufacturing and consumer products. The paper reviews developments in noise cancellation which includes the principle, adaptive filter algorithms and various filter structures proposed to improve the performance of algorithms in terms of convergence time, computational complexity. Advantages and limitations of various algorithms are also discussed.