Your Selections

Analysis methodologies
Show Only Newly Added Content My Access Full Text Content

Collections

Complimentary Content
Journal Articles Magazine Articles Open Access TBMG Articles Tech Insights White Papers

File Formats

ePUB (6475) HTML (8672) PDF (8383) Zip (2)

Content Types

Technical Paper (10486) Magazine Article (548) Journal Article (537) Special Publication (SP) (144) Magazine Issue (85) Aerospace Standard (72) Book (29) Ground Vehicle Standard (28) Professional Development (20) Magazine Feature Article (16) Progress In Technology (PT) (4) Webinar Recordings (4) Fast Tracks (1) Metallurgy Online Course (1) White Paper (1)

Dates

Sectors

Automotive (9759) Aerospace (1182) Commercial Vehicle (841) Automotive Sector (24) Commercial Veh Sector (19) Aerospace Sector (18)

Topics

Analysis methodologies (11976) Design Engineering and Styling (11976) Finite element analysis (4973) Mathematical analysis (3614) Power and Propulsion (3341) Engines (2321) Simulation and modeling (2130) Materials (2080) Vehicles and Performance (1900) Safety (1797) Noise, Vibration, and Harshness (1746) Tests and Testing (1738) Noise (1603) Simulation and Modeling (1436) Failure modes and effects analysis (1322) Chassis (1315) Statistical analysis (1205) Electrical, Electronics, and Avionics (1189) Manufacturing (1160) Computer simulation (1076) Parts and Components (1019) Parts (1007) CAD, CAM, and CAE (884) Environment (845) Bodies and Structures (753) Materials properties (751) Engine mechanical components (744) Crash research (732) Human Factors and Ergonomics (701) Fuels and Energy Sources (696) Vibration (690) Vehicles (679) Maintenance and Aftermarket (656) Manufacturing processes (655) Diesel / Compression Ignition engines (638) Crashes (617) Vehicle dynamics (610) Safety testing and procedures (593) Metals (584) Engine Components (571) Failure analysis (565) Mathematical models (564) Engine components (534) Spark ignition engines (517) Body structures (512) Drivetrains (508) Injuries (508) Emissions (496) Interiors, Cabins, and Cockpits (458) Braking systems (447)

Authors

Vlahopoulos, Nickolas (34) Yang, King H. (27) King, Albert I. (24) Yasuki, Tsuyoshi (24) Iwamoto, Masami (23) Hagiwara, Ichiro (22) Fujii, Toru (21) Kitagawa, Yuichi (21) Smith, James E. (19) Takahashi, Yukou (19) Chen, Kuo-Kuang (17) Pan, Jwo (17) Prasad, Priya (17) Rizzoni, Giorgio (16) Maruyama, Shinichi (15) Mourelatos, Zissimos P. (15) Nikolaidis, Efstratios (15) Pan, J. (15) Su, Xuming (15) Yu, Qiang (15) Krishna, Murali M. R. (14) Mizuno, Koji (14) Nagamatsu, Akio (14) Sakurai, Toshiaki (14) Singh, Rajendra (14) Tsujiuchi, Nobutaka (14) Wei, Zhigang (14) Eppinger, Rolf H. (13) Guenther, Dennis A. (13) Hasegawa, Junji (13) Kikuchi, Noboru (13) Miki, Kazuo (13) Shiratori, Masaki (13) Chou, Clifford C. (12) Iwahara, Mitsuo (12) Kimpara, Hideyuki (12) Okamoto, Masayoshi (12) Shih, Shan (12) Crolla, D. A. (11) Dokko, Yasuhiro (11) Ejima, Susumu (11) Koizumi, Takayuki (11) Lim, Teik C. (11) Nakahira, Yuko (11) Pal, Chinmoy (11) Raveendra, S. T. (11) Takada, Kenji (11) Ziejewski, Mariusz (11) Bryzik, Walter (10) Kikuchi, Yuji (10)

Publishers

SAE (8137) I MECH E (913) JSAE (833) TBMG (540) NHTSA (294) KSAE (187) VDI (157) ISATA (132) ATA (121) ARAI (94) SIA (79) STAPP (78) IRCOBI (48) SAGE (48) IBEC (43) SAEC (43) RAS (40) SAEA (26) TUB (22) JUMV (17) CEC (15) AAAM (12) CNR (11) IATO (8) ASM (7) IAATM (7) CTEA (6) FICT (3) HFES (3) ITS (2) OMKDK (2) UCD (2) UMIN (2) AIAA (1) ARTECH (1) Battelle (1) Concepts (1) STEM (1) TUG (1) UNISA (1) WSU (1)

Affiliations

Ford Motor Company (238) Ford Motor Co. (221) Toyota Motor Corp. (114) Nissan Motor Co., Ltd. (98) University of Michigan (90) Honda R&D Co., Ltd. (68) General Motors Corp. (59) General Motors Corporation (49) Mitsubishi Motors Corp. (46) Hyundai Motor Co. (44) University of Tokyo (38) Tokyo Institute of Technology (37) Japan Automobile Research Institute (36) Toyota Motor Corporation (36) Chrysler Corp. (35) DaimlerChrysler Corporation (34) Oakland University (34) The University of Michigan (32) National Highway Traffic Safety Administration (31) The Ohio State University (31) University of Leeds (31) Tongji University (30) Wayne State Univ. (30) Mazda Motor Corp. (29) Toyota Central R&D Labs., Inc. (28) Wayne State University (26) Hyundai Motor Company (25) Mahindra & Mahindra, Ltd. (25) University of Virginia (25) LMS International (24) GE Plastics (23) NASA Langley Research Center (23) Doshisha Univ. (22) Politecnico di Torino (22) University of Waterloo (22) General Motors Company (21) University of Birmingham (21) University of Illinois at Urbana-Champaign (21) University of Kentucky (21) Centro Ricerche Fiat (20) Nagoya Univ. (20) NASA Ames Research Center (20) Delphi Automotive Systems (19) Purdue University (19) Southwest Research Institute (19) University of Cincinnati (19) FCA US LLC (18) General Motors (18) Ohio State Univ. (18)

Committees

E-32 Aerospace Propulsion Systems Health Management (24) HM-1 Integrated Vehicle Health Management Committee (8) S-18 Aircraft and Sys Dev and Safety Assessment Committee (6) Automotive Adhesives and Sealants Committee (4) Automotive Quality and Process Improvement Committee (4) Cooling Systems Standards Committee (4) LCLS Life Cycle Logistics Supportability (4) G-11 Probabilistic Methods Committee (3) G-47 Systems Engineering (3) EG-1E Gas Turbine Test Facilities and Equipment (2) G-11M, Maintainability, Supportability and Logistics (2) G-14 Americas Aerospace Quality Standards Committee (AAQSC) (2) G-22 Aerospace Engine Supplier Quality (AESQ) Committee (2) G-33 Configuration Management (2) Ground Vehicle Reliability Committee (2) Safety and Human Factors Standards Steering Committee (2) Systems Management Council (2) A-5 Aerospace Landing Gear Systems Committee (1) A-5A Wheels, Brakes and Skid Controls Committee (1) A-6A3 Flight Control and Vehicle Management Systems Cmt (1) A-6B1 Hydraulic Servo Actuation Committee (1) AC-9 Aircraft Environmental Systems Committee (1) AE-5B Aircraft and Engine Fuel and Lubricant Sys Components (1) Aerospace Industry Steering Committee on Structural Health (1) Automotive Electronic Systems Reliability Standards (1) Brake Linings Standards Committee (1) CE-12 Solid State Devices (1) Electronic Design Automation Standards Committee (1) Fluid Conductors ad Connectors Technical Committee (1) G-11 Reliability Maint Support and Probabilistic Methods (1) G-11R, Reliability Committee (1) G-24 Pb-free Risk Management Committee for ADHP (1) Hydraulic Hose and Hose Fittings Subcommittee (1) S-16 Turbine Engine Inlet Flow Distortion Committee (1) Safety Test Instrumentation Stds Comm (1) Society of Automotive Engineers (1) Test Methods and Equipment Stds Committee (1) Truck and Bus Aerodynamics and Fuel Economy Committee (1) Truck and Bus Powertrain Steering Committee (1)

Events

International Congress & Exposition (785) SAE International Congress and Exposition (429) JSAE Spring Conference (309) JSAE Autumn Conference (307) International Technical Conference on Enhanced Safety of Vehicles (290) SAE World Congress & Exhibition (266) SAE 2005 World Congress & Exhibition (199) SAE 2016 World Congress and Exhibition (182) International Body Engineering Conference & Exposition (180) WCX™ 17: SAE World Congress Experience (178) SAE 2004 World Congress & Exhibition (169) Aerospace Technology Conference and Exposition (162) International Conference On Environmental Systems (154) SAE 2006 World Congress & Exhibition (118) International Off-Highway & Powerplant Congress & Exposition (112) SAE 2003 Noise & Vibration Conference and Exhibition (110) SAE 2003 World Congress & Exhibition (109) SAE 2015 World Congress & Exhibition (105) SAE 2002 World Congress & Exhibition (102) SAE 2001 World Congress (95) International Fuels & Lubricants Meeting & Exposition (94) SAE 2000 World Congress (93) Noise & Vibration Conference & Exposition (91) SAE 2014 World Congress & Exhibition (84) Passenger Car Meeting & Exposition (81) Small Engine Technology Conference & Exposition (80) SAE 2011 World Congress & Exhibition (75) SAE 2001 Noise & Vibration Conference & Exposition (74) International Truck & Bus Meeting & Exposition (73) WCX World Congress Experience (69) 2008 SAE Brasil Congress and Exhibit (62) SAE Noise and Vibration Conference and Exposition (61) International Truck & Bus Meeting & Exhibition (58) SAE 2007 Noise and Vibration Conference and Exhibition (57) SAE 2013 World Congress & Exhibition (57) Tribology~Friction, Lubrication and Wear Fifty Years On (54) SAE 2005 Noise and Vibration Conference and Exhibition (52) 1986 SAE International Off-Highway and Powerplant Congress and Exposition (49) International IRCOBI Conference on the Biomechanics of Impacts (48) SAE 2012 World Congress & Exhibition (48) World Aviation Congress & Exposition (44) SAE 2015 Noise and Vibration Conference and Exhibition (43) International Conference On Vehicle Structural Mechanics & Cae (42) International Pacific Conference On Automotive Engineering (42) Passenger Car Conference & Exposition (42) SAE 2009 Noise and Vibration Conference and Exhibition (42) Vibrations in rotating machinery, I Mech E Conf. 1988-7 (42) 2004 SAE Brasil Congress and Exhibit (41) 3rd International Conference Innovation and Reliability in Automotive Design and Testing (1992) (38) SAE Aerospace Technology Conference and Exposition (38)

Magazine

Off-Highway Engineering® (8) Aerospace & Defense™ Technology (4) Automotive Engineering® (4) MOBILITY ENGINEERING™ AUTOMOTIVE, AEROSPACE, OFF-HIGHWAY (4) MOMENTUM The Magazine for Student Members of SAE International® (2) Truck & Off-Highway Engineering™ (2)

FEA-Based Simulation of Exhaust Hanger Forces

  • Ford Motor Company - Zefang Xu, Nagesh Gummadi, Daniel Woytowich, Abdelkrim Zouani
  • Technical Paper
  • 2018-01-1288
Published 2018-04-03 by SAE International in United States
FEA-Based Simulation of Exhaust Hanger Forces ABSTRACT Exhaust system can be a source of vibrations that transmit inside the vehicle thru the exhaust hangers. These vibrations are caused by engine excitations under acceleration. During the upfront development stage, it is important to predict accurately the forces at the exhaust hangers in order to drive a robust exhaust system design and prevent objectionable noise and vibrations inside the vehicle. This paper describes an FEA-based simulation method to predict the exhaust hanger forces. It demonstrates the effect of temperature on the exhaust dynamic behavior and its importance for an accurate prediction of the exhaust hanger forces.

Data Analysis, Modeling, and Predictability of Automotive Events

  • Tenneco Inc. - Zhigang Wei, Limin Luo, Adam Kotrba
  • Technical Paper
  • 2018-01-0094
Published 2018-04-03 by SAE International in United States
It is important to quantitatively characterize the automotive events in order to not only accurately interpret their past but also to reliably predict and forecast their short-term, medium-term, and even long-term future. In this paper, several automotive industry related events, i.e. vehicle safety, vehicle weight/HP ratio, the emissions of CO2, HC, CO, and NOx, are analyzed to find their general trends. Exponential and power law functions are used to empirically fit and quantitatively characterize these data with an emphasis on the two functions’ effectiveness in predictability. Finally, three empirical emission laws based on the historical HC, CO, and NOx data are proposed and the impact of these laws on emission control is discussed.

Vibration Control of Active Vehicle Suspension System using Optimized Fuzzy-PID

  • Helwan University - H. El-taweel, Mohamed M. Abd elhafiz, H. Metered
  • Technical Paper
  • 2018-01-1402
Published 2018-04-03 by SAE International in United States
A fuzzy-PID controller is designed for a half vehicle active suspension system. The optimal values of controller parameters for minimizing the objective function are tuned using Genetic Algorithm (GA). A mathematical half-vehicle model of five degrees of freedom suspension system is derived and simulated using Matlab/Simulink software. Bump and random road excitations are used to evaluate the performance of the proposed controller. The performance of the active suspension with fuzzy-PID controller is compared with passive suspension system to show the efficiency of the proposed active suspension. The simulation results show that the active suspension system controlled using the fuzzy-PID controller can offer significant improvements of ride comfort and vehicle stability.

Calculating Probability Metric for Random Hardware Failures (PMHF) in the new version of ISO 26262 Functional Safety – Methodology and Case Studies.

  • Aptiv - Andre Kleyner
  • NXP Semiconductors - Robert Knoell
  • Technical Paper
  • 2018-01-0793
Published 2018-04-03 by SAE International in United States
The Automotive Functional Safety standard ISO 26262 introduced a PMHF (Probabilistic Metric for random Hardware Failures) in Part 5 and Part 10 by calculating the system failure rates and assessing the ASIL (Automotive Safety and Integrity Level) for functional safety. The new version of the standard expands the PMHF concept by further promoting a new metric “average probability of failure per hour over the operational lifetime of the item”, which has not been commonly used by the reliability engineering community. In order to clarify how PMHF is calculated within the content of ISO 26262, this paper will discuss both failure rate and the average probability of failure per hour in terms of definitions, sources of the data, applications, advantages/disadvantages. It will also present examples of calculating PMHF including the average probability of failure per hour for a non-exponentially distributed failures as well as a system with redundancy.

Numerical Analysis of the Impact of Water Injection on Combustion and Thermodynamics in a Gasoline Engine using Detailed Chemistry

  • Brandenburg University of Technology - Corinna Netzer, Tim Franken
  • LOGE Deutschland GmbH - Lars Seidel
  • Show More
  • Technical Paper
  • 2018-01-0200
Published 2018-04-03 by SAE International in United States
Water injection is a promising technology to improve the fuel efficiency of turbo-charged gasoline engines. Additionally, this technology is believed to enable the efficient operation of the three-way-catalyst also at high load conditions. In this numerical analysis, we investigate the effect of water on the combustion chemistry and the thermodynamics using 3D CFD RANS. In the first step, the influence of different amounts of steam on ignition delay time, laminar flame speed and heat capacity is investigated. In the second step, the impact of water vaporization is analyzed for different injection strategies, such as port and direct injection. Therefore, the water mass flow and the injection pressure are varied. A steady-state, medium speed, high-load operating point is investigated with focus on the effect of water injection on fuel efficiency, knock tendency and exhaust temperature. The impact of water injection on oxidation chemistry, auto-ignition and emissions is modelled using a detailed TRF (iso-octane, n-heptane and toluene) reaction scheme. The combustion is predicted using the level-set method for flame propagation and a well-stirred reactor model in the…

Fuel Effects on PM Emissions from Different Vehicle/Engine Configurations: A Literature Review and Statistical Analysis

  • University of California Riverside - George Karavalakis, Thomas D. Durbin, Jiacheng Yang
  • Environment Institute of Rio de Janeiro - Luciana Ventura
  • Show More
  • Technical Paper
  • 2018-01-0349
Published 2018-04-03 by SAE International in United States
Particulate matter (PM) emissions from gasoline vehicles has recently become a subject of research and regulatory interest. New technology gasoline direct injection (GDI) engines can produce significantly higher levels of particulates than older technology port fuel injection (PFI) engines. Particulate emissions are also influenced by gasoline fuel properties and chemical composition. Differences in PM emissions may be caused by many factors including differences in the gasoline components of the fuels, engine optimization and fuel injection system optimization design. This study is a review the literature on the effects of gasoline properties, such as the distillation parameters and the Particulate Matter Index (PMI) on PM mass and particle number emissions from PFI and GDI vehicles/engines of different technologies. The literature results included journal articles, SAE technical papers, and reports by government agencies and well as collaborative industry studies, and they covered a variety of vehicle/engine configurations, driving cycles, and vehicle types. Data from the literature search were collected and compiled into a large database. Statistical analyses were then conducted to evaluate correlations between PM (mass and…

Continuous Particulate Filter State of Health Monitoring using Radio Frequency Sensing

  • CTS Corporation - Alexander Sappok, Paul Ragaller, Andrew Herman
  • Massachusetts Institute of Technology - Leslie Bromberg
  • Show More
  • Technical Paper
  • 2018-01-1260
Published 2018-04-03 by SAE International in United States
Reliable means for on-board detection of particulate filter failures or malfunctions are needed to meet diagnostics (OBD) requirements. Detecting these failures, which result in tailpipe particulate matter (PM) emissions exceeding the OBD limit, over all operating conditions is challenging. Current approaches employ differential pressure sensors and downstream PM sensors, in combination with particulate filter and engine-out soot models. These conventional monitors typically operate over narrowly-defined time windows and do not provide a direct measure of the filter’s state of health. In contrast, radio frequency (RF) sensors, which transmit a wireless signal through the filter substrate provide a direct means for interrogating the condition of the filter itself. This study investigated the use of RF sensors for the continuous measurement of filter trapping efficiency, which was compared to downstream measurements with an AVL microsoot sensor, and a PM sampling probe simulating the geometry and installation configuration of a conventional PM sensor. The study included several particulate filter failure modes, both above and below the OBD threshold. The results confirmed the use of RF sensors to provide…

Comparison of two shear test standards for chopped carbon fiber SMC

  • Chongqing University - Zhangxing Chen
  • Zhejiang University - Manlin Wang
  • Show More
  • Technical Paper
  • 2018-01-0098
Published 2018-04-03 by SAE International in United States
Chopped carbon fiber sheet molding compound(SMC) material is a promising candidate for mass-production vehicle components. However, the experimental characterization of SMC material property is still a challenging task and needs to be further investigated. There now exists two ASTM standards (ASTM D7078/D7078M and ASTM D5379/D5379M) for characterizing the shear properties of composite materials. However, which standard is suitable for SMC material characterization is still unknown. To find out a suitable way for characterize the shear property of SMC material, Digital Image Correlation(DIC) shear tests according to two standards are conducted separately to make a comparison. The results show that none of the test samples according to ASTM are valid. Moreover, the failure mode of these samples indicate that the failure is caused by the additional moment raised by the improper design of the fixture. The results also show that the test samples according to ASTM are valid in most cases and therefore the ASTM seems to be a more suitable standard for characterize chopped carbon fiber SMC material.

A Technical, Environmental and Financial Analysis of Hybrid Buses Used for Public Transport

  • Instituto Tecnologico de Buenos Aires - Pedro Orbaiz, Nicolás van Dijk, Santiago Cosentino, Nicolas Oxenford
  • CONICET-FCEIA-UNR - Mauro Carignano
  • Show More
  • Technical Paper
  • 2018-01-0424
Published 2018-04-03 by SAE International in United States
This paper presents a technical, financial and environmental analysis of four different hybrid buses operated under Buenos Aires driving conditions. A conventional diesel bus is used as a reference and three electric hybrids equipped with different energy storage technologies; Li-Ion, NiMH batteries and double layer capacitors (ultra-capacitors); are evaluated, along with a hydraulic hybrid platform which uses high pressure accumulators as its energy buffer. The operating conditions of the buses are set using real driving GPS data collected from various bus routes within the city. The different vehicle platforms are modelled on Autonomie SA and validate by comparing the obtained fuel consumption results to those reported by local transport authorities and values found in the literature. The embedded energy and CO2 emissions of each platform are estimated using GREET and the total cost of ownership of each vehicle is calculated and compared to that of the conventional bus. Furthermore, aging models are proposed to evaluate the life duration of the batteries and ultra-capacitors. Results show that, independent of the energy storage technology, the fuel economy…

Study on a Fuzzy Q-Learning Approach using the Driver Priori Knowledge for Intelligent Vehicles’ Autonomous Navigation and Control

  • Tongji University - Liang Chang, Jie Bai, Liangbo Huang
  • Technical Paper
  • 2018-01-1084
Published 2018-04-03 by SAE International in United States
The functional elements of decision making system are fuzzy, adaptive and self-learning for intelligent ground vehicles. As is well-known, operating environments of unmanned ground vehicles (UGVs) are complex, unknown and dynamic. And in the meanwhile, modeling of the exact dynamics is relatively difficult. However, the changing of special dynamic parameters and the man-made driving laws of velocities and running direction are easily available. Therefore, this paper attempts to provide an approach based on fuzzy Q-learning algorithm for studying autonomous navigation and control system’s design under multi-constraints, which aims to make the navigation and control system of unmanned vehicles adaptive and robust under complex and changing environment. The presented approach utilizes the human drivers’ empirical knowledge in order to obtain fuzzy control laws. Fuzzy inference system introduces the human beings’ successful experiences into the system, and Q-learning mainly pays more attention to the interaction between the robot and the environment and thus keeps on learning until achieving the goal. Through this model, autonomous navigation and control system can be designed accordingly. In order to facilitate the…