Crash reconstruction is a scientific process that utilizes principles of physics and empirical data to analyze the physical, electronic, video, audio, and testimonial evidence from a crash to determine how and why the crash occurred. This course will introduce this reconstruction process as it gets applied to various crash types - in-line and intersection collisions, pedestrian collisions, motorcycle crashes, rollover crashes, and heavy truck crashes. Methods of evidence documentation will be covered. Analysis methods will also be presented for electronic data from event data recorders and for video.
Fastener experts believe that upwards of 95% of all fastener failures are the result of either the wrong fastener for the job or improper installation. Whether this shocking figure is accurate or not, it is irrefutable that threaded fasteners are poorly misunderstood by many in both the fastener and user communities. In October 1990 the USS Iwo Jima suffered a catastrophic steam valve accident minutes after leaving port following repairs to its steam plant. In one of the single most deadly events of Operation Desert Storm, ten of the eleven crewmen present in the engine compartment would lose their lives.
The ability to write concise and unambiguous reports, proposals, manuals, or other technical documents is a key skill for any high-functioning engineer or technical staff person in the mobility industries. Through a combination of class discussions, interactive workshop activities, assignments, checker teams (review teams) and job aids, this course delivers real-life technical writing techniques and tools that can be immediately applied. Attendees discover the importance of knowing their audiences and how to communicate technical information in a "user-friendly" style.
As Battery cost is expected to see a Downward trend, Electrification of Powertrain in general is expected to pick up and 2wheeler Market is foreseen to be the Flag bearer in this race towards Electrification. In this paper, we would like to emphasize on the Journey of 2wheelers from Conventional Internal combustion Engine to Electrified Powertrains which we foresee in the future. Methodology: EV - Analysis of OEM strategies and upcoming trends in connectivity and electrification. Estimation of current market size of 2Wheeler and segmentation based on different personas. Building survey data based personas around ownership patterns for electric 2Wheelers. Mapping consumer decision process for electric 2Wheelers. Analyse the decision influencers and role of influencers in decision making process. Hybrid - Analysis of different hybrid topologies. Feasibility study via simulation and focus group assessments to evaluate the design. PoC will also be tried to validate the concept.
Vehicle weight reduction becomes important at the view point of fuel efficiency improvement and CO2 reduction in India also as well as developed countries. With this background, High tensile and Super high tensile steel application has become increasing. Similary, weight reduction of big plastic parts like bumper face is one of the most important items, so Honda has developed Thin-wall and light weight bumper face. In the development of light weight bumper, rigidity, impact strength and flowability which are main requirement are cotradictory property. It is necessary to develop new material to achieve this technical concern. Moreover, we verified part shape and thickness optimization to achieve part requirement. Established high property material and part manufacturing technology were applied for current CITY firstly, and it has been expanded to other models sequentially to contribute weight reduction for Honda vehicles.
A novel approach on range prediction of a hydrogen fuel cell electric truck C.Venkatesh - Manager - Product Development, Sustainable Mobility & Advanced Technologies Abstract: A novel approach on range prediction of a hydrogen fuel cell electric vehicle Abstract: Today's growing commercial vehicle population creates a demand for fossil fuel surplus requirement and develops highly polluted urban cities in the world. Hence addressing both factors are very much essential. Battery electric vehicles are with limited vehicle range and higher charging time. So it is not suitable for the long-haul application. Hence the hydrogen fuel cell based electric vehicles are the future of the commercial electric vehicle to achieve long range, zero emission and alternate for reducing fossil fuels requirement. The hydrogen fuel-cell electric vehicle range, it means the total distance covered by the vehicle in a single filling of hydrogen into the onboard cylinders.
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.