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.
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.
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.
The automotive industry is constantly trying to develop cost effective, high strength and lightweight components to meet the emission and safety norms while remaining competitive in the market. Forging process plays an important role to produce most of the structural components in a vehicle. Precision forging technology is used to produce components with little or no flash leading to elimination of machining process after forging. The load acting on the dies during net or near net forging is very high and leads to wear in the die. In order to have a good die it is important that die wear which is an inevitable phenomenon in a bulk metal forming processes is predicted mathematically. In this study a review on the vast number of studies done in the area of wear and various predictive models is carried out.
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.
“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.
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.
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.