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SMART HONKING

Mahindra & Mahindra, Ltd.-Priyanka Marudhavanan
  • Technical Paper
  • 2019-28-2463
To be published on 2019-11-21 by SAE International in United States
Smart Honking Keywords-Safety, Connectivity, GPS M. Priyanka, Mahindra&Mahindra, India Sai Himaja Nadimpalli, Mahindra&Mahindra,India Keywords-Honking , Infotainment , GPS Research and/or Engineering Questions/Objective: In India unnecessary vehicular honking is the main reason for noise pollution. The problem is worst at traffic signals where drivers start honking without waiting for the signal to turn green or for traffic to move. Drivers show no respect to the law that prohibits the use of horn at traffic signals and other silent zones such as areas near hospitals, schools, religious places and residential areas. Vehicular honking in cities has reached at an alarming level and contributes approximately 70% of the noise pollution in our environment.The unwanted sound can affect human health and behavior, causing annoyance, depression, hypertension, stress, hearing loss, memory loss and panic attacks. Most of the drivers try to release their frustration and tension by blowing horns, possibly due to lack of awareness regarding the negative effects of noise but most likely it is because of the lack of civic sense.. Limitations: There is a provision of sign…
 

IMPROVE NVH CHARACTERISTICS OF ENGINE OIL PAN BY OPTIMIZATION & LIGHT WEIGHING WITH DEEP LEARNING PROCESS

Altair Engineering-Srinivas Tangudu, Padmaja Durgam
Altair Engineering India Pvt , Ltd.-Muralidhar Gumma
  • Technical Paper
  • 2019-28-2552
To be published on 2019-11-21 by SAE International in United States
Recent Years “NVH” is gaining lots of attention as the perception of vehicle quality by a consumer is closely aligned to NVH Characteristics. Demand on Vehicle Light weighting to compliance the environmental norms with powerful engines challenging the “Vehicle NVH”, powertrain induced noise will be continued to be a primary factor for all IC engine vehicles. Component level NVH refinement is necessary to control the overall NVH characteristics of vehicle with lighter Vehicle goal. Current Paper works starts with physical testing the Engine oil pan of the most popular vehicle and build an equivalent simulation model by reverse engineering the design and match similar performance trend in simulation model. After building baseline simulation model, conduct shape, topology, gauge and material optimization to improve weight and performance of Oilpan. In addition to the Simulation DVPS to study the complete NVH characteristics oil pan models, a deep Learning model developed with power of GPUs to disrupt oil pan design methodology as well as optimizing the weight, Performance and cost . Every design engineer would like to optimize…
 

Vision based solution for auto- maneuvering of vehicle for emerging market

General Motors Tech Center-Ashwani Kumar Singh, D V Ram Kumar Singampalli
General Motors Tech. Center-Souvik Bose
  • Technical Paper
  • 2019-28-2517
To be published on 2019-11-21 by SAE International in United States
Vision based solution for auto- maneuvering of vehicle for emerging market: Author/Co-Author: Singh Ashwani, SDV Ram Kumar, Bose Souvik, Lalwani Chandraprakash General Motors Technical Centre India Key words: Image Processing, Gap finding, virtual/Imaginary lines, Advance Driver Assist System (ADAS), Vehicle to vehicle(V2V)/Vehicle to Infrastructure(V2I/V2X) Research & Engineering Objective: For the various levels of autonomous, the current perception algorithms involve considerable number of sensor inputs like cameras, radars and Lidars and their fusion logics. The planning route for the vehicle navigation is done through map information which is highly volatile and keep changing many at times. Existing steering assist feature during a curve is available by combining additional driver monitoring camera & 360 degree camera. The complexity is very high in the implementation and computation of these algorithm. These solutions are not cost-effective for emerging markets. Non-availability of required infrastructure in developing countries is one of the additional constrain. Feature unavailability due to road infrastructure (ex: poor or no lane markings), bad weather will lead to higher customer dissatisfaction. The objective is to develop a logic/study…
 

Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction

General Motors Technical Center India-Brijesh Borkar, John Bosco Maria Francis, Pankaj Arora
  • Technical Paper
  • 2019-28-2418
To be published on 2019-11-21 by SAE International in United States
A virtual 'model' is generally a mathematical surrogate of a physical system and when well correlated, serves as a basis for understanding the physical system in part or in entirety. Drive Quality defines a driver's 'experience' of a blend of controlled responses to an applied input. The 'experience' encompasses physical, biological and bio-chemical perception of vehicular motion by the human body. In the automotive domain, many physical modeling tools are used to model the sub-components and its integration at the system level. Physical Modeling requires high domain expertise and is not only time consuming but is also very 'compute-resource' intensive. In the path to achieving 'vDQP (Virtual Drive Quality Prediction)' goal, one of the requirements is to establish 'well-correlated' virtual environments of high fidelity with respect to standard test maneuvers. This helps in advancing many developmental activities from a Controls and Calibration aspect. Recently, machine/deep learning have proven to be very effective in pattern recognition, classification tasks and human-level control to model highly nonlinear real world systems. This paper investigates the effectiveness of deep learning…
 

The Road to the Top is Not on the Map: Conversations with Top Women of the Automotive Industry

Terry Barclay
Center For Automotive Research-Carla Bailo
  • Book
  • R-491
To be published on 2019-10-01 by SAE International in United States

Carla Bailo, CEO of the Center for Automotive Research, and Terry Barclay, CEO of Inforum, bring together over 30 of the most influential women in the automotive industry to share their insight and advice. From suppliers to OEMs, they hail from every corner of the industry.

 
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Automotive Applications of Hardware-in-the-Loop (HIL) Simulation

Ford Motor Co., Ltd.-Adit Joshi
  • Progress In Technology (PT)
  • PT-209
Published 2019-08-13 by SAE International in United States
Automotive Applications of Hardware-in-the-Loop (HIL) Simulation shines a light on HIL simulation testing methodology commonly used in the automotive industry for conventional, electrification and autonomy applications and can serve as an introductory resource for college students looking to join the automotive industry or experienced technical professionals who need a deeper understanding on what is HIL simulation, what are its benefits and how can it be used in their respective organizations.
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Preventing Ice Buildup on Electric Aircraft

Aerospace & Defense Technology: August 2019

  • Magazine Article
  • 19AERP08_04
Published 2019-08-01 by SAE International in United States

Fuel economy is one of the biggest challenges facing the aviation industry. To overcome these challenges, researchers are working on next generation aviation systems. Next generation aircraft will be either hybrid power, or all-electric power, which would help with fuel consumption. But electric aircraft present challenges in other areas such as the prevention of ice formation. Ice formation on aircraft can degrade the aerodynamic performance significantly by reducing lift while increasing drag. Tech Briefs Media Group (TBMG) editor, Billy Hurley, interviewed researcher Afaq Ahmed Abbasi of Northwestern Polytechnical University's Department of Fluid Mechanics to learn more about these challenges.

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Autonomous Vehicle Engineering: July 2019

  • Magazine Issue
  • 19AVEP07
Published 2019-07-05 by SAE International in United States
Editorial The consolidation plot thickensThe Navigator As the world turns to C-V2X, Europe picks WiFiComplexity of Autonomous-Systems Simulation, Validation Soars to the Clouds Scalable, cloud-based architectures are gaining greater acceptance for simulating and testing the myriad development aspects of automated driving.Connectivity Solutions for AVs The promises of fully connected autonomous vehicles are great, but so are the challenges.What M&E Can Teach the AV Industry About Data Media & entertainment offers important learnings on data retention, management, scalability and security.The Rodney Dangerfield of Automated-Driving Sensors Radar and lidar get all the attention, but Inertial Measurement Units are the backbone of sensor fusion. Suppliers are scrambling to make IMUs more accurate-and much less expensive.The Sense-itive Side of Autonomous Vehicles BASF is exploring how specific materials-and even paint colors and finishes-can improve the capabilities of AV sensors.German University Studying Assisted-Driving 'Handoff' Germany's Kempten University Adrive Living Lab will feature aVDS driving simulator to research ADAS stress levels.ZF's Current Work Builds for the EV, AV Future The Tier-1 giant's "vision" for improving future mobility leverages its latest safety and…
 

Celebrating the 50th Anniversary of Apollo 11: An Astronaut's View

  • Magazine Article
  • TBMG-34747
Published 2019-07-01 by Tech Briefs Media Group in United States

Before becoming an astronaut candidate in 1996, Mike Massimino was busy earning degrees — an undergraduate degree from Columbia University and four additional degrees from the Massachusetts Institute of Technology (MIT), including a doctorate in mechanical engineering.

 

Researchers Create Soft, Flexible Materials with Enhanced Properties

  • Magazine Article
  • TBMG-34807
Published 2019-07-01 by Tech Briefs Media Group in United States

A team of polymer chemists and engineers from Carnegie Mellon University have developed a new methodology that can be used to create a class of stretchable polymer composites with enhanced electrical and thermal properties. These materials are promising candidates for use in soft robotics, self-healing electronics and medical devices. The results are published in a recent issue of Nature Nanotechnology.