Public awareness regarding pollutants and their adverse health effects has created an urgent need for engineers to better understand the combustion process as well as the pollutants formed as by-products of that process. To effectively contribute to emission control strategies and design and develop emission control systems and components, a good understanding of the physical and mathematical principles of the combustion process is necessary. This seminar will bring issues related to combustion and emissions "down to earth," relying less on mathematical terms and more on physical explanations and analogies.
The skills and knowledge gained in this workshop will enable students to carry out regulatory responsibilities related to the administration of the Aircraft Certification and Continued Operational Safety. This course content provides the Civil Aviation Safety Engineers (Systems - Electrical) with the knowledge and skills to conduct oversight of aviation safety, aircraft certification and Continued Operational Safety.
Engine up gradation for higher power rating involves challenges that require hardware changes which not only increase cost but also demand higher space. This paper focuses on the up gradation of a 4 cylinder 4.9l CRDi engine from 24.03 kW/L to 30.75 kW/L by adjustment of various parameters to meet both emission and performance targets. Various challenges like higher exhaust temperature, increased peak firing pressure etc. were met using the proper calibration strategy. To meet SFC targets and keep peak firing pressures, exhaust temperatures within desired limits, different operating points for EGR, main injection timing, rail pressure have been optimized. The operating points for optimization were determined by conducting various drive trials on different type of load conditions in test bench. Calibration strategy involved the safe limits of NOx, soot, CO emissions, fuel consumption.pfp, and exhaust temperature.
“NuGen Mobility Summit-2019” Paper Title : Determining the State Of Health [SOH] of Li Ion cell Authors: Sushant Mutagekar, Ashok Jhunjhunwala, Prabhjot Kaur Objective Cells age with life. This aging is dependant on various factors like charging/discharging rates, DOD of operation and operating temperature. As the cell ages it undergoes power fade (ability to deliver required power at particular State of Charge [SOC]) and capacity fade (the charge storage capacity of cell). In an Electric Vehicle it is important to know what power shall be demanded from a battery irrespective of what its current SOC is and number of cycles it has undergone. With minimal accuracy and less computational power, it is difficult for a Battery Management System [BMS] to accurately determine SOH; the paper proposes a a precise model that may help.
Energy policy reviews state that automobiles contribute 25% of the total Carbon-di-oxide (CO2) emission. The current trend in emission control techniques of automobile exhaust is to reduce CO2 emission. We know that CO2 is a greenhouse gas and it leads to global warming. Conversion of CO2 into carbon and oxygen is a difficult and energy consuming process when compared to the catalytic action of catalytic converters on CO, HC and NOX. The best way to reduce it is to capture it from the source, store it and use it for industry applications. To physically capture the CO2 from the engine exhaust, adsorbents like molecular sieves are utilized. When compared to other methods of CO2 separation, adsorption technique consumes less energy and the sieves can be regenerated, reused and recycled once it is completely saturated. In this research work, zeolite X13 was chosen as a molecular sieve to adsorb CO2 from the exhaust.
Battery operated vehicle need accurate management system because of its quick changes in State of charge (SOC) due to aggressive acceleration profiles and regenerative braking. Li-ion battery needs control over its operating area for its safe working. So, the main objective of the proposed system is to develop a BMS having algorithms to estimate accurate SOC, predict degradation parameters, balance individual cells, manage cell temperature, and provide safe area of operation defined by voltage and temperature. Proposed methodology uses Model-based Design approach wherein nonlinear behavior of battery is modeled as Equivalent Circuit Model to compute the SOC and degradation effect on battery to decide the end of life of battery, also performing inductive Active balancing on cells to equalize the charge. proposed algorithms communicate with the vehicle ECU through CAN to assist the driver for runtime estimation, time for battery swapping, Alerts.
In this paper we propose the snow mobility vehicle in order increase the mobility and decrease the risk of accidents for carry food and medicines on snow bounded areas using unmanned tracked vehicle called as snowmobii 2.0. Our unmanned tracked vehicle can transport Food/medicines as well as Defence in snow bounded areas. This unmanned robot can run in loose as well as hard snow due to it have specific featured technology in base wheel(track wheel system) such as hub with outer seals that improve its durability. The proposed snow mobility vehicle is consist of many sophisticated-designed systems such as navigation system, obstacle detection system, communication system, temperature sensing system. Snowmobii 2.0 is easy to get command and enable significant reduction in losses of many solder’s precious lives due to unavailability of food and medicines at that place.