Engine failures can occur in a variety of equipment, vehicles, and applications. On occasion, a single vehicle type or equipment family will even experience multiple engine failures leading to the inevitable need to determine what the most likely cause of one or all of those failures was. This comprehensive seminar introduces participants to the methods and techniques used to understand the types of variables and inputs that can affect engine reliability and then determine the most likely cause of an individual engine or group of engine failures in the field.
Engineers are taught to create designs that meet customer specifications. When creating these designs, the focus is usually on the nominal values rather than variation. Robustness refers to creating designs that are insensitive to variability in the inputs. Much of the literature on robustness is dedicated to experimental techniques, particularly Taguchi techniques, which advocate using experiments with replications to estimate variation. This course presents mathematical formulas based on derivatives to determine system variation based on input variation and knowledge of the engineering function.
Turbocharging is rapidly becoming an integral part of many internal combustion engine systems. While it has long been a key to diesel engine performance, it is increasingly seen as an enabler in meeting many of the efficiency and performance requirements of modern automotive gasoline engines. This web seminar will discuss the basic concepts of turbocharging and air flow management of four-stroke engines. The course will explore the fundamentals of turbocharging, system design features, performance measures, and matching and selection criteria.
Finite Element Analysis (FEA) is a powerful and well recognized tool used in the analysis of heat transfer problems. However, FEA can only analyze solid bodies and, by necessity thermal analysis with FEA is limited to conductive heat transfer. The other two types of heat transfer: convection and radiation must by approximated by boundary conditions. Modeling all three mechanisms of heat transfer without arbitrary assumption requires a combined use of FEA and Computational Fluid Dynamics (CFD).
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.
Automotive returnable cases (Stacktainers) are being used to transport the automotive parts through surface & seaways. No automotive manufacturer wants to spend money on woods, paper & cardboard again and again, it`s better to pay once for robust & reusable cases. these provide better protection to parts from its manufacturing to assembly line of vehicle. While transporting, any kind of crack or failure of returnable cases may lead to loss of money, human & time. To ensure the safety, these pallets have to be validated for vibrations coming from surface irregularities, sea waves & load due to stacking of cases one above other. The objective of this study is to establish a correlation in between the physical testing & simulation in Computer added Engineering (CAE) of automotive returnable case (Stacktainers). There are different types of tests considered to validate the returnable case, rough road evaluation, Multi-axial Vibration & strength evaluation.
The front of a car, though susceptible to the biggest impacts in terms of magnitude, has space and additional reinforcement to incorporate various safety measures. The rear has considerable amount of space to contain a proper crash box. The side of the car, though, doesn’t have this flexibility in design, the main limiting parameter being space. Any intrusion into the passenger cabin can result in serious injury or even death. The objective of this work is to improve the crashworthiness of a vehicle’s side so as to reduce intrusion into the passenger cabin. The work is focused on optimizing the door and B pillar. The optimized side panel is compared with the baseline model as per standard. ANSYS solver is used for the simulation. The optimized design applied to the door and B pillar will significantly improve crashworthiness of the vehicle side panel as a whole.
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.
ENHANCE STRENGTH, ACCURACY AND PRECISION OF THE 3D PRINTED ASSEMBLY AID GAUGES Ramesh Kavalur1, Raghavendra Rao 1 1 Body in White, Manufacturing Engineering, General Motors Technical Centre India Pvt. Ltd, India, Keywords - Additive manufacturing, assembly aid gauges, 3D printer. Research Objective - Automotive manufacturing impressively implementing 3D printed jigs and fixtures. Traditional manufacturing of metal assembly aid gauges have limitations such as lead time and causes dent and rough marks on the outer panel of the body. On the other hand, 3D printed jigs and fixtures, demands more time (depends on complexity), have low level of precision and they offer lower strength. It is observed that this occurs because of the inefficient design and manufacturing without understanding the functionality and capability of the 3D printer.
Bus passenger safety has always been a concern considering various impacts like side impact, front impact, rollover etc. happening in real life scenarios. Various standards have been formulated for simulating these conditions and with respect to rollover, standards like ECE-R66 are being used to understand the superstructure strength. In India, we have AIS-052 (bus body code) and AIS-031 specific for bus rollover testing. AIS-119 has been published for rollover testing of sleeper coaches with modifications in the survival space creation in sleeper coaches for berths. With physical testing being more expensive, CAE simulations are being considered as vital option which also helps in design modification in a lesser time. This paper discusses the scope of numerical simulation of sleeper coach rollover using an explicit dynamic solver RADIOSS to understand the structure deformations, survival space clearances/intrusions.