The Best of COMVEC 2016

The Best of COMVEC 2016 : Select Technical Papers from the SAE Commercial Vehicle Engineering Congress

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Description

This special collection highlights some of the best technical papers that represent the breadth of the entire technical program. Leading industry perspectives are reflected by the corporate contributions that are included in this group, along with a specific focus on connectivity, the theme of the 2016 event. The commercial vehicle industry has always been focused on improving efficiency. These ten characteristic offerings present cutting-edge trends, technologies, and solutions that provide greater benefit and the application of knowledge to solve problems and guide future innovation.
These studies are presented by experts from industrial, governmental, and academic partners on topics that include:* Autonomous commercial vehicles* Computational fluid dynamics and aerodynamics for heavy-duty, on-road applications* Fuel and emissions efficiency of medium-duty powertrain configurations* Intelligently controlled air-suspension systems* Improving total cost of ownership by gains in thermal efficiency* New simulation and testing techniques enabling next generation commercial vehicle technology* The leadership team has focused on bringing in a broad mixture of participants to COMVEC to discuss current technologies and the future challenges of the commercial vehicle industry. This first of its kind special publication draws on the strength of the event's program and features ten of the best technical papers from the SAE International Congress
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Product details

  • Paperback | 277 pages
  • 152 x 229mm
  • SAE International
  • Warrendale, United States
  • 0768083893
  • 9780768083897

Table of contents

* Introduction* Autonomous Driving in Agriculture Leading to Autonomous Worksite Solutions (2016-01-8006). John Reid and Stewart Moorehead, Deere & Company; Alex Foessel, John Deere Brasil SA; Julian Sanchez, John Deere* CFD Comparison with Wind-Tunnel for a Class 8 Tractor-Trailer (2016-01-8140). Devaraj Dasarathan, Exa Corporation; Ashraf Farag, Navistar; Matthew Ellis, Exa Corporation* The Evaluation of the Impact of New Technologies for Different Powertrain Medium-Duty Trucks on Fuel Consumption (2016-01-8134). Lijuan Wang, Adam Duran, Kenneth Kelly, Arnaud Koana, Michael Lammert and Robert Prohaska, National Renewable Energy Laboratory* Evaluation of System Configurations for Downsizing a Heavy-Duty Diesel Engine for Non-Road Applications (2016-01-8058). Mufaddel Dahodwala, Satyum Joshi, Hari Krishnamoorthy, Erik W. Koehler and Michael Franke, FEV NA, Inc.* Pneumatically Shifted Air Suspension Loading for Improved Fuel Economy Benefits (2016-01-8031). Nicholas Atanasov and Evan Chenoweth, Daimler Trucks North America LLC* New MAHLE Steel Piston and Pin Coating System for Reduced TCO of CV Engines (2016-01-8066). Marco Maurizi and Daniel Hrdina, Mahle GmbH* Testing of a Long Haul Demonstrator Vehicle with a Waste Heat Recovery System on Public Road (2016-01-8057). Michael Glensvig, Heimo Schreier, Mauro Tizianel, Helmut Theissl, AVL List GmbH; Peter Krahenbuhl and Fabio Cococcetta, FPT Motorenforschung AG; Ivan Calaon, Iveco* Fan Shroud Optimization Using Adjoint Solver (2016-01-8070). Prasad Vegendla and Tanju Sofu, Argonne National Laboratory; Rohit Saha, Mahesh Madurai Kumar and Long-Kung Hwang, Cummins Inc.; Steven Dowding, CD-Adapco* Towards a Cyber Assurance Testbed for Heavy Vehicle Electronic Controls (2016-01-8142). Jeremy Daily, Rose Gamble, Stephen Moffitt, Connor Raines, Paul Harris, and Jannah Miran, University of Tulsa; Indrakshi Ray, Subhojeet Mukherjee, and Hossein Shirazi, Colorado State University; James Johnson, Synercon Technologies* Estimation of Excavator Manipulator Position using Neural Network-Based Vision System (2016-01-8122). Jiaqi Xu, Hwan-Sik Yoon, The University of Alabama; Jae Y. Lee and Seonggon Kim, Volvo Construction Equipment* About the Editors
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