Despite the advantages of electronic flight bags (EFB), passenger entertainment and email access during flights, and the ability to access aircraft repair manuals electronically, computer interconnectivity throughout aviation has opened the aviation sector to cyber-attacks that could impact flights, data, and safety. This two-day seminar is intended to introduce aviation professionals to the need to implement cyber security throughout commercial aviation including the supply chain.
Production and continual improvement of safe and reliable products is key in the aviation, space and defense industries. Customer and regulatory requirements must not only be met, but they are typically expected to exceeded requirements. Due to globalization, the supply chain of this industry has been expanded to countries which were not part of it in the past and has complicated the achievement of requirements compliance and customer satisfaction. The IAQG has established and deployed the AS9145 Standard, as a step to help achieve these objectives.
AS13000 defines the Problem-Solving standard for suppliers within the aero-engine sector, with the Eight Disciplines (8D) problem solving method the basis for this standard. This two-day course provides attendees with a comprehensive and standardized set of tools to become an 8D practitioner and meets all the requirements of the training syllabus in AS13000. Successful application of 8D achieves robust corrective and preventive actions to reduce the risk of repeat occurrences and minimize the cost of poor quality.
AS 13003:2015 stipulates requirements to establish an acceptable measurement system (for variable and attribute features) for use on aerospace engines parts and assemblies. Measurement Systems Analysis (MSA) is used to evaluate and improve measurement systems in the workplace because it evaluates the test method, measuring instruments, and the process of acquiring measurements. The Aerospace Engine Supplier Quality (AESQ) Strategy Group published AS13003 to define the minimum requirements for conducting MSA for variable attribute assessment on characteristics as defined on the drawing specification.
This highly interactive workshop focuses training on negotiation strategy and skills. This is not the manipulative, win-lose negotiation approach frequently taught today, where the winner eventually spends time and effort protecting his negotiated advantage against erosion, while the loser continually exploits loopholes and shortcuts to recover lost ground. Traditional negotiation is a wary dance based on mistrust, the true cost of which is lost in quality and brain fatigue - usually for someone other than the negotiator - over the life of the agreement.
Over the last 100 years, the automobile has become integrated in a fundamental way into the broader economy. A broad and deep ecosystem has emerged, and critical components of this ecosystem include insurance, after-market services, automobile retail sales, automobile lending, energy suppliers (e.g., gas stations), medical services, advertising, lawyers, banking, public planners, and law enforcement. These components – which together represent almost $2 trillion of the United State economy – are in equilibrium based on the current capabilities of automotive technology. However, the advent of autonomous vehicles (AVs) and technologies like electrification have the potential to significantly disrupt the automotive ecosystem. The critical cog governing the rate and pace of this shift is the management of the test and verification of AVs.
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 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.
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.
Sleeper buses are increasingly used as connectivity between cities and remote areas with sleeping comfort for passengers. During the normal operation, the bus body is subjected to several loads, external loads from the road (i.e. crossing over a speed bump, breaking & cornering). Moreover, there is a substantial possibility that these loads may lead to a structural failure. Hence, it is necessary to determine stresses occurred in the bus body to ensure its integrity under these driving scenarios. During the accident, rollover/front/rear/side impact, energy absorbing capacity of bus body structure is crucial for safety of passengers. The objective of this study is to reduce weight of bus structure while maintaining cost & safety as constraint. 3D Model prepared in NX and finite element model created in hypermesh ,LS-dyna/optistruct used as solver and post processing done in hyperview. In this study, fully loaded bus with passengers as well as maximum language mass, considered.
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.
Objective This paper explores the usage of Altair simulation driven optimisation process, Front Suspension hard points of a sedan Car model are optimised for specific target toe curves using MotionView, MotionSolve and HyperStudy This process gives the optimal hard point values to match the target curves without much iterations. Methodology Parametric Multibody model of the front end of sedan is built in MotionView. To Carry out optimisation HyperStudy is used where few of the suspension hard points which affect the toe curves are chosen as design variable. For the chosen Design variables upper and lower bound limits are specified. Ride, Roll and lateral force tests are performed. Optimisation is performed using HyperStudy where it iterates the suspension hard points to match the target toe curves. Each iteration response can be visualized in HyperStudy and can be compared with the target toe curve.
In recent times, there has been an enormous shift towards automation in Auto as well as Agriculture Industry. Farming is playing an important role in the survival of world. Currently, agricultural industry is facing several challenges. These challenges can be reduced or removed by using automation in the agricultural tools and techniques. Industry 4.0 is the industrial fourth revolution which focused on automations in manufacturing technologies such as cyber physical systems, Internet of Things, artificial intelligence and cloud and cognitive computing. The development and improvement of the connectivity between agricultural tools is leading to significant progress in the agricultural practices. Advancement and automation of the technologies with Internet of Things (IoT), replacing traditional agricultural methodologies which causes wide range of improvements in the fields.
In the fourth-generation model of the 2018 PCX, the basic structure of frame was reviewed to make it lighter and rigid. Weight reduction was also adapted to its wheels. These enhancements contributed to its increased dynamic performances. The engine performances were enhanced as well, and all these features made it possible to provide a high-quality riding with composure of rider’s mind. In addition, we developed hybrid model PCX HYBRID that uses an ACG starter directly connected to a crankshaft as a drive assist system and realized pleasurable ride feeling with a more direct drive response.
Research and/or Engineering Questing/Objectives: Safety of the occupant in passenger cars is one of the regulatory requirements in many developed countries. This includes upper interior head impact load case of the unbelted occupant during crash (FMVSS 201U) as one of them. During a crash event the occupant head can collide with the interior parts of the vehicle, such as a headliner, pillar trim and other subsequent components in the loading direction. Injury on the head is quantified in terms of the Head Injury Criterion of a crash test dummy (HIC(d)) value which should be less than 1000 per standard. Several ways can be adopted to reduce the HIC(d) value. These include a change in the design of ribs in the safety plastic components, headliner profile change, use of countermeasure foam between headliner and the exterior sheet metal parts, or a combination of any of these to absorb the energy of impact.
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.
Rapidly enhancing engineering techniques to manufacture components in quick turnaround time have gained importance in recent time. Manufacturing strategies like Additive Manufacturing (AM) are a key enabler for achieving them. Unlike traditional manufacturing techniques such as injection molding, casting etc., AM unites advanced materials, machines, and software which will be critical for Industry 4.0. Successful application of AM involves a specific combination and understanding of these three key elements. In this paper the AM approach used is Fused Deposition Modelling (FDM). Since material costs contribute to 60% of the overall FDM costs, it becomes a necessity to optimize the material consumption of the produced parts. This paper reports case studies of 3D printed parts used in an Automobile plant’s production aids, which utilize computational methods(CAE), topology optimization and FDM constrains (build directions) to manufacture the part in the most optimal way.
Research and/or Engineering Questions/Objective Plastic automotive fuel tanks made up of blow molded, multi-layered, high-density polyethylene (HDPE) material can take complex shapes with varying thickness. Accidental drop of fuel tank from a height during handling can lead to development of cracks. Damage can also occur due to an impact during a crash. This can be catastrophic due to flammability of the fuel. The objective of this work is to characterize and develop a failure model for the fuel tank material to simulate damage and enhance predictive capability of CAE for chassis and safety load cases. Methodology Different aspects were considered to develop a characterization and modelling strategy for the HDPE fuel tank. Material properties can be influenced by factors such as, service temperature, rate of deformation, state of stress etc.