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This paper covers the mathematical modeling of governing equations for the coupled heat and mass transfer phenomena during adsorption and desorption. Also the main focus is given on the methodology for numerical simulation for solving these partial differential equations for carbon canister. A comprehensive literature review is presented to summarize the target requirements of allowed evaporative emission level of gasoline vapour in grams per day based on global standards like, EU6, EPA stage II enhanced, CARB LEVII, PZEV and SULEV. In order to meet these stringent emission norms, presence of carbon canister is mandatory. The simulation results are compared for the gasoline vehicle application at various climatic temperature conditions in India, in which the canister sizing vs allowable emission targets are summarized.

The radiator as heat exchanger plays a very significant role in an engine cooling system by maintaining the coolant at an optimum temperature. The present study aims at improving the performance of an automobile radiator by using nano-coolants. Nano-scale particles have been tested and proven to have enhanced thermal conductivity than their bulk counterparts due to their increased surface area-to-volume ratio. Thus the nanoparticles dispersed in the base fluids called nanofluids are used as a radiator coolant to improve the performance of the radiator. Aluminum oxide (Al2O3)-based nanofluid at 0.04%, 0.08%, 0.15% by volume concentrations is used in two different base fluids, one being water and the other ethylene glycol (30%) (EG)-water mixture. Coolant is supplied at three different inlet temperatures at 40°C, 50°C, and 60°C and at five different flow rates ranging from 2 L/min to 6 L/min at an interval of 1 L/min.

The cross flow design of a radiator and its heat transfer and temperature drop was simulated then validated by using a data acquisition system during both static and dynamic running conditions of a Formula SAE car. The data acquisition system simulated and validated the radiator's cross flow design and heat transfer, as well as the temperature drop, under static and dynamic conditions in a car. The optimal radiator design determines the engine's operating temperature and the desired temperature drop gain through proper design of the inner core, number of fins and tubes, and radiator material. The purpose of a properly designed radiator is to prevent the combustion engine from heating up above its operating temperature [1]. The radiator's design is based on the operating temperature of the CBR 600RR engine. The highest temperature recorded was around 105°C, and in the worst case scenario, it can reach 110°C.

The heat losses through exhaust gases and the engine coolant contribute significantly towards reduction in thermal efficiency of an Internal Combustion (IC) engine. This largely impacts the fuel economy and power output. Waste Heat Recovery (WHR) has proven to be an effective method of overcoming these challenges. A Rankine cycle is a reverse refrigeration cycle that circulates a working fluid through the four basic components namely the pump, evaporator, turbine and condenser. It is a popular WHR approach in automotive applications with varying levels of success in the past. As the heat transfer capability in organic working fluids is greater than the conventionally used inorganic fluids, the former is used to capture maximum waste heat from low grade heat sources such as the automobile engine. A dual-loop Organic Rankine Cycle (ORC) is proposed for a heavy duty IC Engine with working fluids R245fa and R236fa for the High Temperature (HT) and Low Temperature (LT) loops respectively.

The drastic technological advancements in the field of autonomous vehicles and connected cars lead to substantial progression in the commercial values of automobile industries. However, these advancements force the Original Equipment Manufacturers (OEMs) to shift from feedback-based reactive business analysis to operational-data based predictive analysis thereby enhancing both the customer satisfaction as well as business opportunities. The operational data is nothing but the parameters obtained from several parts of an automobile during its operation such as, temperature in radiator, viscosity of the engine oil and force applied over the brake disk. These operational data are gathered using several sensors implanted in different parts of an automobile and are continuously transmitted to backend computers to develop Digital Twin, which is a virtual model of the physical automobile.

The main purpose of this study is to investigate additive manufactured Inconel super alloy subjected to cryogenic treatment (CT). Cryogenic treatment is mainly used in aerospace, defense and automobile application. Direct metal laser sintering is an additive manufacturing technique used for manufacturing of complex and complicated functional components. Inconel is an austenitic chromium nickel based super alloy often used in the applications which require high strength & temperature resistant. In this work, a study is carried out on microstructure and mechanical properties of additive manufactured Inconel 718 when subjected to cryogenic treatment at three different time intervals. The micro-structural evolution of IN718 super-alloy before and after CT was investigated by both optic microscope and scanning electron microscope. Surface roughness and hardness at different CT time intervals has also analyzed. Additionally, XRD technique was used to analyze the surface residual stress.

Heat transfer optimization is a crucial aspect of the design process for Formula Student race cars, particularly for the radiator, usually housed in a side pod. For the car to operate at peak performance, a well-designed radiator-sidepod system is essential such that it can dissipate heat generated by the engine faster, for the car to run in optimal performance. Testing the car physically for various radiator-sidepod design iterations is a very difficult task, also considering the costs to manufacture the radiator-sidepod setup. The objective of this study is to develop a comprehensive methodology for analysing heat transfer through radiator setup using Computational Fluid Dynamics and to validate it through experimental investigations, to enhance performance and efficiency of the radiator setup. It further explains how to find out its heat transfer efficiency, and to choose the right radiator-sidepod setup, giving optimal performance.

Lithium (Li)-based batteries have wide applications in the everyday gadgets. Li-based batteries have prominent usage in the automotive sector. All the major OEMs for manufacturing hybrid electric vehicles (HEVs) and electric vehicles (EVs) use only Li batteries and are still going to continue for the next decades. However, during the operation of these batteries, they are susceptible to environmental and battery factors. The amount of charge currently taken in or out influences the internal resistance and temperature of the battery. Therefore, the amount of heat generated by the Li-ion batteries during operation is critical for designing a cost-effective and efficient thermal management system (TMS) for HEVs and EVs.