The positioning of the sensors on vehicle will play a critical role in autonomous cars, it improves the performance of overall system by all the means and make it cost effective by reducing a total system cost. This paper contributes in deciding the best position of camera location on the vehicle with complete geometric and system calculation based on the maximum speed of vehicle, hardware processing speed, camera parameters, actuation and control time, Blind spot detections, maximum Height of objects, etc. The paper presents the technologies and datasets used for lane lines and other object detections. It focusses on newly proposed technique and its calculations to decide the best location of monocular camera sensor on the vehicle by considering all other parameters of autonomous vehicle system. It enhances the performance of overall system as well as reduces the system cost which takes us closer to the futuristic dream of efficient and low-cost autonomous vehicle.
Shared Mobility is changing the trends in Automotive Industry and its one of the Disruptions. The current vehicle customer usage and life of components are designed majorly for personal vehicle and with factors that comprehend usage of shared vehicles. The usage pattern for customer differ between personal vehicle, shared vehicle & Taxi. In the era of Autonomous and Shared mobility systems, the customer usage and expectation is high. The vehicle needs systems that will control customer interactions (Self-Expressive) & fix the issues on their own (Self-Healing). These two systems / methods will help in increasing customer satisfaction and life of the vehicle. We will be focusing on vehicle Closure hardware & mechanisms and look for opportunities to improve product life and customer experience in ride share and shared mobility vehicles by enabling integrated designs, which will Self-Express & Self-Heal.
The Automotive industry is in ever more need for a lesser weight car due to progressively stringent emission norms and the demand of customer to have better mileage. It can be a gargantuan challenge for automotive manufacturers to search for lesser weight material to meet both customers as well as regulatory norms. But in some cases such lower weight material can increase the cost and adding a expensive material which increases overall cost to a price sensitive market like India is not favorable. One such solution is using the indigenous plant fiber (Jute) in combination with propylene (PP) to make Interior plastics components. Jute a vegetable fiber also referred to as "the golden fiber" has high tensile strength, low extensibility and is well established in fabric, packing, agriculture, construction industries. The biodegradable Jute lesser weight & abundance (India is the leading manufacturer of the Jute) can be utilized in making automobile trim parts in India.
In this paper, mold in color diamond white ASA material has been explored for front bumper grill, fender arch extension and hinge cover applications. Other than aesthetic requirements, these parts have precise fitment requirement under sun load condition in real world usage profile. Structural durability of the design was validated by virtual engineering. Part design and material combinations with better tooling design iterations were analysed by using mold flow analysis. Complete product performances were validated for predefined key test metrics such as structural durability, thermal aging, cold impact, scratch resistance, and weathering criteria. This part met required specification. This mold in color ASA material-based parts has various benefits such as environmentally friendly manufacturing by eliminating environmental issues of coating, easily recycled, and faster part production because intended color achieved in one step during molding.
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.
RESEARCH OBJECTIVE: Automobile Industry has driven through the ages with continuous development with innovative technologies and frugal engineering. Expectation of customer is also increasing through the generations. To meet the customer demand for performance and be best in market, OEM needs to deliver best performance of vehicle with cost effective and short development process. Steering and Handling of vehicle is one of major customer touchpoints and needs to be tuned to achieve various conflicting requirements. The objective of this research is to optimize the steering and handling using correlation between three major methods of evaluation. METHODOLOGY: Methodology for optimization of steering and handling performance using correlation between subjective evaluation, objective measurement and multi-body-dynamic simulation is presented.
Introduction: The advent of electric mobility is changing the conventional mobility techniques and their application in automobiles across all segments. Three wheeler Battery Operated Vehicles (BoVs) are a special category of electric vehicles (EVs) as far as EMC compliance is concerned. The problem mainly lies with the open body design and cost cutting measures being exercised by the manufactures which makes Electromagnetic compatibility (EMC) compliance challenging. Objective: Though it is sometimes possible to resolve EMC malfunctions related to motor power cable, cables & wiring harness etc. using external techniques post design stage, but controller being a closed and typical element makes it difficult to improve against EMC malfunctions using external techniques. This paper would concentrate on the controller design parameters and improvement of the same in terms of Electromagnetic compatibility (EMC) and performance efficiency at the design stage itself.
Downsizing is one of the crucial activities being performed by every automotive engineering organization. The main aim is to reduce – Weight, CO2 emissions and achieve cost benefit. All this is done without any compromise on performance requirement or rather with optimization of system performance. This paper evaluate one such optimization, where-in radiator assembly with two electric fan is targeted for downsizing for small commercial vehicle application. The present two fan radiator is redesigned with thinner core and use of single fan motor assembly. The performance of the heat exchanger is tested for similar conditions back to back on vehicle and optimized to get the balanced benefit in terms of weight, cooling performance and importantly cost. This all is done without any modification in vehicle interface components except electrical connector for fan. The side members and brackets design is also simplified to achieve maximum weight reduction.
Authors: Udit Kaul, Mahendarpal and Madhusudan Joshi Organization: International Centre for Automotive Technology, Manesar Introduction: In this paper, a study concerning multi-point CNG injectors (MPCI) or commonly known as injector rail would be presented. Here we would make a detailed analysis regarding the performance of MPCIs due to variation in physical and electrical parameters. In this case multiple MPCIs would be considered and there electrical and dimension parameters would be compared with respect to their performance. The performance comparison would be done based on the common compliance standard under standard laboratory conditions. We would also like to propose the optimal combination of electrical and dimension parameters for better performance. The variables to be considered for the proposed study are: injector valve open/shut timing, injector dimension, voltage levels, solenoid types etc. Key words : multi-point CNG injectors, injector valve, solenoid
In order to reduce engine development timing and cost, a numerical calculation used to evaluate valve train systems. This paper discusses the work done on kinematic and dynamic analysis of Valve Train (VT) system of a diesel engine by using 1-D Ricardo Valdyn software. The goal is to meet optimum intake, exhaust valve timing requirement, maximize valve open area and 20% overspeed requirement. Valve train model is prepared and inputs like mass and stiffness are estimated from actual weighing and finite element approach respectively. Simulation model is used for predicting valve bounce speed, valve displacement, cam-follower contact stress and strain in the rocker arm. Initially, Kinematic analysis is carried out to study the change in valve motion characteristics such as cam contour radius, tappet contact eccentricity etc. Further to this, dynamic analysis is carried out to assess forces and stresses on valve train components.
Keywords-Coolant,Ventilation Research and/or Engineering Questions/Objective: Number of Occupants is the major parameter when we consider Air Conditioning System. The number of person who stays in the room may vary in the same way the person who travels in the automobile also vary throughout the distance. This is more prevalent in transportation system like bus, train and where lot of people will travel together and where dropping station in the vehicle is too frequent.In this type,operating A.C has to be varied Methodology: . Instead the number count in the vehicle will be monitored from time to time. Based on the number of count, the cabin has to be cooled or heated and accordingly corresponding power has to be drawn by the compressor from the engine. This human count can be detected based on the number of CO2 sensor located in the cabin. the amount of fresh air that should be added to a cabin can be controlled by a carbon dioxide level transmitter.
The advancements in Electric Vehicles have introduced many complex sub-systems with demanding and sporadic power needs. For example, the current consumed by electric motor or bank of super-capacitors involve transients making them non-linear loads. Conventional test systems for load analysis mainly involved resistive loads where the rate of rise or fall of current was linear, falling short to accommodate the dynamic behavior of the Electric Vehicle loads. In this paper, we have proposed a low cost; yet effective electronic load that is independent of the battery voltage and can sink the current in any prescribed pattern with respect to time. The simulation results have shown the effectiveness of the hardware with respect to changes in temperature, aging and sudden input fluctuations. The implemented electronic load is interfaced to a desktop application to program the dynamic load behavior and the test duration.
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.
The seat belt system is one of most imperative component of the safety instrument family in a vehicle. The main purpose of seat belt is to minimize the injuries by preventing the occupant from impacting hard interior parts of the vehicle and also the passenger from being thrown-out from the vehicle in case of rollover accidents. The standard three-point belts, mounted to the vehicle in three places, namely anchor, D ring and buckle. The position of D ring is very important to distribute the impact load evenly to the occupants. Very high load in any of these locations could cause breakage of the mountings and also concentrated loading on the occupant chest of pelvis. This study mainly focuses on the seatbelt assembly performance improvement against ECE-R16 sled test. The sled test was carried out first using 28g peak acceleration pulse and measurement of forces at shoulder and anchor position was measured using the load cell.
Part 21 is the FAA regulation that provides the regulatory framework to conduct certification of products and parts. This includes the engineering, airworthiness, production and quality systems. The aerospace industry is hinged around compliance with Part 21; however, comprehension of Part 21 and its role in civil certification is challenging. This course is designed to provide participants with an understanding of the processes that encompass aircraft certification, including compliance with FARs, certification procedures and post certification responsibilities.
Education is become more and more important in our society and people are looking for attractive an innovative ways for learning. It is also found that teaching through fun is more efficient especially with children at early stages. Our system is about building a robot to teach children simple numbers and colors. This will help children in their early years to learn in an enjoyable way. We use pioneer 3dx robot in addition to Lidar, camera and robotic arm to build a model for our proposed system. Our system has three main parts: navigation, image processing and robotic arm control. The navigation part is achieved by using gmapping and Simultaneous Localization And M aping (SLAM). The image processing part is based on image segmentation to recognize numbers and colors. The robotic arm control uses inverse kinematic analysis to locate the desired cube and pick it up. ROS was used to program the robot to achieve the desired functionalities.
The development of Autonomous Vehicles (AV) has become a popular subject in academia and industry. Companies and cities are quickly realizing the opportunities that AVs can generate from Mobility as a Service to traffic safety. The challenges for the infrastructure to incorporate AVs as a viable transportation source are immense, beginning with an outdated infrastructure. Historically, the transportation infrastructure has been fraught with challenges from underfunding, economics, and misappropriations. With the current infrastructure unable to support many of the services required by a fully connected network, a transformation will be necessary to meet growing mobility needs. The role of accelerating technology in data centers are key for production operations among industry leaders such as Amazon and Microsoft.
There has been a great effort expended in identifying causes of Hydro-Carbon (HC) and Particulate Matter (PM) emissions resulting from poor spray preparation, leading to characterization of fueling behavior near nozzle. It has been observed that large droplet size is a primary contributor to HC and PM emission. Imaging technologies have been developed to understand the break-up and consistency of fuel spray. However, there appears to be a lack of studies of the spray characteristics at the End of Injection (EOI), near nozzle, in particular, the effect that tip deposits have on the EOI characteristics. Injector tip deposits are of interest due to their effect on not only fuel spray characteristics, but also their unintended effect on engine out emissions. Using a novel imaging technique to extract near nozzle fuel characteristics at EOI, the impact of tip deposits on Gasoline Direct Injection (GDI) fuel injectors at the EOI is being examined in this work.