5^th International Conference and Exhibition on Automobile & Mechanical Engineering September 20-21, 2018 Rome, Italy

Biography:

Mario Hirz has been awarded an M.S. degree in mechanical engineering and economics, a Ph.D. in mechanical engineering, and a venia docendi in the area of virtual product development. He is Associate Professor at Graz University of Technology and frequent guest lecturer at international universities and automotive manufacturer. Mr. Hirz is Vice-Head of the Institute of Automotive Engineering, his research topics comprise knowledge-based engineering, innovative propulsion systems, concepts for sustainable transport, future mobility and mechatronics systems. Mario Hirz has published more than 200 works and has received several national and international awards for his scientific contributions.

Abstract:

Automated driving functions are able to increase vehicle safety and customer comfort. They also have potential to improve road traffic management and to reduce negative impacts of traffic on environment. In this way, car manufacturers, supplier and reserach institutes increasingly perform R&D activities in the area of automated driving on the way to the self-driving car. The submitted work treats an evaluation of automated driving functions for the application in electrically driven low-cost city cars. The intended evaluation is focused on SAE level 5, which means fully automated cars that do not require a driver, and even no passengers. This type of vehicles might be used for logistics, delivery service and similar applications, but also as self-driving people mover. Autonomous navigation of such vehicles is similar of those of robots, which includes tasks of localization, path planning, and path execution. These tasks require appropriate sensor systems and computation strategies to recognize and cluster continuously changing environmental conditions in daily traffic scenarios. An important role plays the applied sensor and object recognition technology, representing cost-intensive modules. In this context, different sensor technologies are evaluated in terms of their capability of road and surounding area observation, driveway and obstacle recognition, the robust provision of data for vehicle control and path planning as well as economic parameters. Sensor fusion comes to use to combine advantages of different technologies and to provide reliable object detection to under different environmental conditions. The paper closes with exemplary applications of autonomous driving technologies in small city vehicles and a prospect of development trends.

Biography:

Alexandre Nunes, Associated Director for Vehicle Attributes at NIO, Shanghai based Electrical Vehicle Company. Bachelor degree in Physics and a Master Degree in Acoustics. Working in Vehicle Integration and Development for over 20 years. Guided over 30 global projects with different levels of requirements and markets (Asia, South America, North America and Europe). Senior specialist in NVH, with several papers published and presentations in International forums. Since 2014, dedicated to Electrical vehicle development.

Abstract:

Engineering criteria and guidelines have been developed and consolidated over the years to develop a good car according to the target market and customer requirements. These receipts worked well with reasonably stable boundary conditions, linear forecast on requirement and customers’ expectations. Moving to the future, looking into the electrification, increased on-board electronics, autonomous driving and connectivity, there will be somehow impact on users’ perception and expectation.

While the whole future of mobility is clearly shifting, the need of a fundamental excellence in the dynamic experience is unchanged. There will always have the need for cabin comfort; quietness, temperature control, smooth ride, convenience and safety feeling. All at minimum energy cost. The expectation is indeed increasing.
The proposal of this presentation is to discuss the successful vehicle development under the perspective of new energy vehicles. It’s about the challenges on application of lightweight strategies, the increased demand on thermal integration, specific componentns and software integration. It will also be presented the methodologies, test and simulations available to support a good architecture and conscious balance of vehicle attributes. It’s about setting cross-attributes balancing as an early development strategy as opposed to a late trade-off decision.

Biography:

Cüneyt Ezgi is an Associate Professor in the Department of Mechanical Engineering at Beykent University. He graduated from the Mechanical Engineering in Gazi University in 1991. He joined Turkish Naval Forces in 1993 as engineer officer. Dr. Ezgi received his Msc and Ph.D. degrees in the Department of Mechanical Engineering in Ege University in 2004 and 2009. He retired from Turkish Naval Forces at rank of Naval Engineer Captain in 2016. His general research interests are heat transfer, thermodynamics, thermal systems engineering, heat exchangers, heat pumps, renewable energy technologies and fuel cells.

Abstract:

Steam ejector refrigeration systems are promising for energy efficiency. The aim of this paper is to design  exhaust gas heat-driven ejector cooling system in an automobile. The system uses water as the working fluid. The water will be boiled in waste heat boiler by exhaust gas heat and sent to steam ejector utilized instead of  compressor in conventional refrigeration systems. At various speed of an automobile, COP (Coefficient of Performance) and cooling capacity is investigated. Therefore, Cooling is provided in evaporator, although COP is quite low in ejector refrigation cooling system, the fuel consumption and green house gas emissions is reduced in the ejector refrigeration system. In addition to energy efficiency, since this refrigeration system has any compressor, it operates under low sound levels and provides less maintenance.

Biography:

Jay Zhao has completed his PhD from Nanjing University of Science & Technology, China and had three-years post-graduate study in City University of New York and Cornell University. Currently he is the Technical Manager of CAE group of Joyson Safety Systems, North America, with 21+ years experience performing CAE analysis for auto restraint components, systems and occupant simuations. He has published more than 40 journal papers or conference presentations and hold two US paternts.

Abstract:

The restraint sysetm design for occupant protection becomes a new challenge for a laterally facing seated occupant in an automated driving minivan. This study is to evaluate effectiveness of various new restraint system concepts for occupant protection in frontal, side and rear crash seconarios. The case occupant is a mid-sized male represented by GHBMC M50-OS v1.8.4 human model, positioned in a laterally facing seat in middle of the vehicle. The evaluated restraint concepts include 3-pt seatbelt with dual load-limiter retractor and pretensioners, 4-pt seatbelt, torso restrain airbag (seatbelt integrated), seat-mounted far-side airbag, customized head airbag and floor airbag. Multiple loading cases are created for different crash cenarios including the US frontal and oblique NCAP tests, pole and MDB (Moving Deformable Barrier) for near and far side, and rear impact. Effectiveness of each restraint system configuartion with the new concepts is evaluated for the loading cases respectively. For each case the occupant kinematics is analyzed and the occupant injury measures (OIMs) are obtained. Preliminary optimization of the restraint combinations and design parameters are also performed to mitigate the OIMs. The results indicate that a combination of the 3-pt seatbelt and the other new concepts significantly reduce the OIMs over the baseline (the 3-pt seatbelt alone). The torso restrain airbag, seat-mounted far-side airbag, and special head airbag show good benefits.

Biography:

Ahmad Gemeal pursued his PhD from Al Faraby University Kazakhstan National University, Kazakhstan. He worked on the project Gazal1 (Saudi Car) at the Advanced Manufacturing Institute of King Saud University, KSA. He is currently working in the Department, Plastic Deformation Lab at the Central Metallurgical Research and Development Institute Metals Technology, Egypt. He has published more than 16 papers in reputed journals.

Abstract:

Modal analysis test the for first Saudi car Gazal1 was carried out. The chassis-alone modal analysis was made and its result for first torsional mode is 34.9 Hz (the target is >26 Hz) and for first bending mode is 38.2 Hz (the target is >26 Hz). Those results are in target. In general the chassis has a global good behaviour with high values of Eigen modes. The strain energy distribution is well distributed in the structure that will support the BIW (Body in white) upper structure. This is a good base for the complete global BIW (BIW+chassis) possible behaviour. Global BIW modal analysis was also made. The result for the first bending mode is 30.7 Hz which is in target (the target is >29 Hz). But the analysis does not reach the target for the first torsional mode 17.6 Hz (the target is >26 Hz), due to the weakness of the rear end area which consists of upper joint and lower joint. This analysis showed that the connection between the D pillar and the rear longitudinal member is weak and that the main problem is located in lower joint area. Hence, the connection with the rear panel has to be improved. An upper joint and lower joint sensitivity analysis was also made to understand which joint that has the highest influence on the body normal modes and, hence, to identify the areas where the design change activities should be focused. The sensitivity analysis shows that upper joint has the highest sensitivity for first torsional mode, while lower joint has the highest sensitivity for first bending mode. Knowing that, it is the first torsional mode that is out of target, then, the design change activities must be focused on the strengthening of upper joint.

Biography:

Peter Guggi graduated in both Business Administration and Law in Austria; completed internship with Toyota Motor Corporation the Managing Partner at Berlin based in rebus corporate finance GmbH. He is responsible for the company’s transaction advisory business. He founded the company after and spending more than 10 years in operational roles with strong brands in the Sporting Goods, IT/ Data Storage, Media/ Publishing and Telecoms Equipment sectors at the interface between controlling, sales and marketing, living and working in Japan, US, Russia and Germany. in rebus corporate finance focuses on sell side mandates, working with StartUps and SMEs on equity financing rounds and trade sales, supporting company documentation, financial planning, company valuations, investor marketing, due diligence and negotiations up until closing the respective deal. Pursuing a sector agnostic approach clients with a variety of business models, including B2B software as a service, e-Commerce, retail and manufacturing, have been advised throughout successful transactions.

Abstract:

Germany belongs to the countries that benefitted extraordinarily from the worldwide automotive boom, with a significant percentage of the population employed directly at one of the makers or within the related network of suppliers. Previously vehicle sales were not only fueled by the obvious convenience factor but also cars as status symbols, affordable cost of ownership - as long as environmental costs were of lesser concern – and governments eager to help build lasting industries. Today the landscape has changed in more ways than can be considered healthy for any sector and it appears as though all changes occur simultaneously. In a more and more urbanized and space constricted environment, traveling by car – at least at day light – has certainly become less fast and less cheap, nor does it continue to add much to one’s status. On top of all these, societies are becoming increasingly aware of the implications for health and climate. Nevertheless, moving remains a necessity. The neglect of countryside infrastructure and subsequently sprawling cities alone pose increasing challenges – to an increasing number of stakeholders. Now it is not just about makers, drivers, road building respectively maintenance, oil companies and car dealers. Emerging technologies further involve utilities, mobility providers and platforms which here – as elsewhere – facilitate transactions and re-shape markets. Also in order to prevail, established players, we take a fresh look at value chains and this is where opportunities arise. Highly capitalized buyers contribute to drive - as much as control - innovation, with smaller companies looking for Exit Partners. The presentation looks at various transactions in the automotive space as well as their motives.

Biography:

Virginia Monteiro Silva Araujo Monteiro pursued her PhD in structural analysis and strength of materials (2013) at the Polytechnic University of Catalonia, Barcelona, Spain. She was a Research Fellow in the Department of Solid Mechanics of the Royal Institute of Technology in Stockholm, Sweden. From 2015, she joined Pontifical Catholic University of Rio de Janeiro as a Research Staff and is currently a Technical Coordinator in a Lightweight exhaust system project, a collaboration with FCA (Fiat Group Automobiles), Brazil and Coventry University, UK. Her research themes include: automotive, oil and gas, and biomechanics models and simulations.

Abstract:

A three dimensional finite element (FE) model is presented to compute the acoustics effect and transmission loss of a muffler considering glass wool. The proposed model comprehends a puzzle of state of art research models on poro-acoustics, pipe perforators, baffle perforators, and plane wave acoustics. The muffler considered comprehends four resonator chambers, and Silentex 2000 glass wool on the second chamber. Temperature influence in transmission loss is presented. Bench tests were used for model validation. Transmission loss results are compared with 1D analysis in GT Power.

Biography:

Kamyar Mehran is a Lecturer in Power Engineering at Queen Mary University of London. His research interests include energy storages, DC/AC microgrids, SiC-based inverters, control and energy management systems with a number of publications and book chapters in the field. He recently recieves research grants totalling £600K on condition monitoring of xEV battery modules. He has prior academic experince in the universities of Warwick and Newcastle in UK and 10 years of industrial experience including CTO position for a university spin-off. He received his B.Sc. (Tehran, 99), M.Sc. (Newcastle, 2004) and Ph.D. (Newcastle, 2010) all in electronic and electrical engineering.    

Abstract:

Power electronics underpins modern xEVs allowing efficient energy transfer between the vehicle battery system and the drive motors. These vehicles have to operate in a wide range of climates and geographies meaning that the electrical systems have to be designed to withstand significant overstresses, particularly from self-heating and sudden loading during normal operation. As a result, the power electronics are significantly over-designed to ensure sufficient reliability given the harsh operating conditions. To simplify construction, reduce costs and increase reliability, manufacturers are seeking ever-tighter system integration. In the future, wide-bandgap semiconductor materials such as SiC will allow significant improvements in power density and volumetric efficiency by closely coupling the signal and power stages and allowing the power stage to be integrated within the electrical machine, sharing the same cooling circuit. This level of integration poses a number of significant challenges as the heat transfer paths are interlinked and significantly more complex. In addition, the close thermal coupling with the machine will greatly increase the stress on the electrical and mounting connections, leading to bond wire degradation and unwanted stresses in the interface layer between the semiconductor material and the substrate. To address these challenges, we propose a multi-physics sensor fusion technique to provide accurate prognostics for highly integrated power electronic converters for electric vehicles. The real-time prognostics, accurately estimating state of health and the true age of the converter, will allow the vehicle management system to intelligently adjust the available power and cooling requirements.

Biography:

J.H. Park has completed his PhD from Massachusetts Institute of Technology and has been a faculty member at the Department of Automotive Engineering, Hanyang University in Seoul, Korea. His acedemic interests include mobile robot, autonomous vehicles, and intelligent control. 

Abstract:

Lane keeping Assistance Systems (LKAS) is one of the advanced driver assistance systems (ADAS) and have used mostly approaches of model based control for lane keeping functions. This kind of method requires precise vehicle dynamic models and they are highly nonlinear and complicated resulting in the complicated process for control design.
In order to alleviate the efforts for modeling, neural networks could be employed for the LKAS. However, since car driving is a highly dynamic, the long short-term memory (LSTM) recurrent neural networks (RNN) is a better candiadate for computing of the steering angle for the lane keeping system. The LSTM RNN prediction model is one of the artificial intelligence techniques that incorporate the time series without having to use the complicated vehicle model.
The input values of LSTM-RNN are the time-series array of the road coefficients obtained by processing the data from the vision sensor and the IMU sensor, and the output of the network is the vehicle steering angle. The actual steering angles obtained during the real road driving by human drivers are used for the network training. The implicit relation between the inputs and output is trained over time. After the LSTM-RNN prediction model is implemented and tained, the performance of the steering angle prediction is tested. The acquired steering angle from the network is given to the steering control system as a reference input. The effectiveness of the newapproach is verified through simulation.

Acknowledment

This work was supported by the Technology Innovation Program (10076338, Fault Detection and Diagnosis for ADAS-Sensors and Hazardous Analysis and Development of Fault Management Strategy) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea).

Biography:

Shun Hattori is a graduate student of Doshisha University, Kyoto, in Japan. His major is mechanical engineering. He is studying on power transmission mechanism of chain belt type continously variable transmissions. His dream is to get married with tender girl in a loving home with a productive work for developing new mechanical power transmission after completion of master course.

Abstract:

The objective of this study is to clarify the mechanism for changing axial force and winding pitch radius of a chain type CVT at steady state. Pulley thrust, input rotational speed, and speed ratio were kept constant during experiment, while input torque was steadily increased from 0 Nm up to the state of sliding slip. The axial force was measured by a load cell. In addition, strain on the surface of rocker pin was measured by strain gauges. Nonlinear decrease of pitch radius of the chain belt was observed at the entrance of driving pulley while nonlinear increase of that was oppositely observed at the exit. The estimated results of radial displacement of the chain belt calculated with geometrical relationship were agreed with the experimental data, when the tilt of movable sheave was considered. It was shown that radial displacement of the chain belt was dominated by the change of observed wedge angle of driving pulley due to the tilt of movable sheave.  In addition, large transmittable torque was measured when a rigid pulley was applied to driving pulley, compared with that when a movable pulley was used. It was suggested that contact arc in driving pulley was decreased due to the change of pitch radius of chain belt. It was found that the axial forces were changed with the change of winding pitch radius of chain belt because total of reaction forces in contraction direction was changed by the change of practical contact arc between chain belt and pulley.

Biography:

Dr. Mabuma has completed his doctoral study/PhD in Engineering from a joint research programm a t University Stuttgart/RWTH University Aachen/Leibniz University Hannover. He has published different scientific papers in reputed journals and has supported companies and research institutes such as Robert Bosch GmbH. He is now working as technical leader and key account manager in the automotive industry.

Abstract:

The main goal of this contribution is to introduce an application of the rules of platform thinking to conceive profitable products or services in aftersales of the automotive industry. Platform thinking can be defined as the art of conceptualizing and implementing inclusive places (physical or virtual) where different actors can interact, communicate, co-create and share. A successful platform is able to attract platform users, facilitate the interaction and exchange of information and foster co-creation of value.
To create a successful platform it is crucial to decide which platform users or target groups need to be brought together. Potential target groups are car drivers, car dealers, fleet managers and third parties such as car insurance companies and towing services.
The challenge is then to visualize a possible interaction between these groups which can lead to creation of value for each group during an exchange of information. We have to define which information is attractive to a platform user in order to specifically address the needs of another platform user. For instance, information about the mileage is a great deal to a car insurance company in order to create value for its own business.
Finally, the pricing model for using the platform has to be well thought out in order to ensure profitability for the platform owner. A few alternatives would be to charge fees for each login on the platform or each data package transferred between users depending on the user´s behavior.