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2015-06-15
Technical Paper
2015-01-2332
Jan Deleener, Akira Sekitou, Masanori OHTA
Shift feeling is an important comfort attribute for manual transmission driven vehicles. For front-wheel-drive vehicles, there are 3 main parts of interest: the gearbox, the shifter and the shift cable. Often only a test based evaluation process on the actual assembly is available in the later stages of development. In order to frontload the shift feeling evaluation a virtual simulation process is required. For the shift lever and the gearbox there are well established models available. With 3D multibody models or even 2D planar models the effect of kinematics and compliances like connection stiffness and friction are already studied today. However, the modelling of the transmission cable, connecting the gearbox and the shifter remains a challenge to accurately represent the physical feel. By experience it was known that the 3D positioning and curvature of the cable affected the friction force and therefore the shift feeling.
2015-06-15
Technical Paper
2015-01-2333
Brandon Sobecki, Patricia davies, J Stuart Bolton, Frank Eberhardt
Component sound quality is an important factor in the design of competitive diesel engines. One component noise source that causes complaints is the gear rattle that originates in the front-of-engine gear train which drives the fuel pump and other accessories. The rattle is caused by repeated tooth impacts resulting from fluctuations in differential torsional acceleration of the driving gears. These impacts generate a broadband, impulsive noise that is often perceived as annoying. In most previous work, the overall sound quality of diesel engines has been considered without specifically focusing on predicting the perception of gear rattle. Gear rattle level has been quantified based on angular acceleration measurements, but those measurements can be difficult to perform. Here, the emphasis was on developing a metric based on subjective testing of the perception of gear rattle.
2015-06-15
Technical Paper
2015-01-2334
David Bogema, Gary Newton, Mark Stickler, Chris Hocking, Frank Syred
Realistically experiencing the sound and vibration data through actually listening to and feeling the data in a full-vehicle NVH simulator remarkably aids the understanding of the NVH phenomena and speeds up the decision-making process. In the case of idle vibration, the sound and vibration of the idle condition are perceived simultaneously, and both need to be accurately reproduced simultaneously in a simulated environment in order to be properly evaluated and understood. In this work, a case is examined in which a perceived idle quality of a vehicle is addressed. In this case, two very similar vehicles, with the same powertrain but somewhat different body structures, are compared. One has a lower subjective idle quality rating than the other, despite the vehicles being so similar.
2015-06-15
Technical Paper
2015-01-2338
Dong Guo, Quan Shi, Peng Yi
In-vehicle noise is composed of a variety of tonal (frequency-related) components and the tonal components play an important role in the improvement of interior vehicle sound quality. Much research has been focused on the suppression of sound pressure level and achieved certain positive effects. However, in some operating conditions, customers still perceive the tonal components and complain about the vehicle quality even the sound pressure level is relatively low. Therefore, a better understanding of how tonal components are perceived is necessary for automotive designers. To do so, psychoacoustics results about human hearing mechanism to tonal components are comprehensively summed in this study: human hearing response to pure tone, two tones and multiple tones. Then, well-controlled testing stimuli were generated and subjective annoyance testing was conducted. The results show agreement with former researchers’ findings.
2015-06-15
Technical Paper
2015-01-2337
Gordon Ebbitt, Todd Remtema
Speech communication from the front seat to the rear seat in a passenger vehicle can be difficult. This is particularly true in a vehicle with an acoustically absorptive interior. Speech Transmission Index (STI) measurements can quantify the speech intelligibility, but they require specialized signal processing. The STI calculations can be simplified if it is assumed that reverberation and echoes play an insignificant role in an automobile. A simplification of a STI measurement is described that uses a stationary reference speech signal from a talker mannequin in the driver’s seat to create a signal at the rear passenger positions. On-road noise measurements are used for the noise level and the calculated signal to noise ratio is used to calculate a simplified STI value that tracks closely to a full implementation of the STI method for sedans. In fact, this method is very similar to the techniques described in the Articulation Index (AI) and Speech Interference Index (SII) standards.
2015-06-15
Technical Paper
2015-01-2335
Scott Amman, Francois Charette, Paul Nicastri, John Huber, Brigitte richardson, Gint Puskorius, Yuksel Gur, Anthony Cooprider
Quantifying Hands-free Call Quality in an Automobile Hands-free phone use is the most utilized use case for vehicles equipped with infotainment systems with external microphones that support connection to phones and implement speech recognition. Critically then, achieving hands-free phone call quality in a vehicle is problematic due to the extremely noisy nature of the vehicle environment. Noise generated by wind, mechanical and structural, tire to road, passengers, engine/exhaust, HVAC air pressure and flow are all significant contributors and sources of noise. Other factors influencing the quality of the phone call include microphone placement, cabin acoustics, seat position of the talker, noise reduction of the hands-free system, etc. This paper describes the work done to develop procedures and metrics to quantify the effects that influence the hands-free phone call quality.
2015-06-15
Technical Paper
2015-01-2336
Anastasios Arvanitis, Jeff Orzechowski, Todd Tousignant, Kiran Govindswamy
Automotive companies are looking into adding extra value to their vehicles by enhancing powertrain sound quality. The objective is to create a brand sound that is unique and preferred by their customers since quietness is not always the most desired characteristic, especially for high-performance products. This paper describes the process of developing a brand powertrain sound for a high-performance vehicle using the DFSS methodology. Initially the customer’s preferred sound was identified and analyzed. This was achieved by subjective evaluations through voice-of-customer clinics using vehicles of similar specifications. Objective data were acquired during several driving conditions. In order for the design process to be effective, it is very important to understand the relationship between subjective results and physical quantities of sound. Several sound quality metrics were calculated during the data analysis process.
2015-04-14
Technical Paper
2015-01-0471
Apurva Gokhale, Sumeet Parashar, Saket Kansara
Abstract Need for accounting Robustness and Reliability in engineering design is well understood and being researched. However, the actual practice of applying robustness and reliability methods to high fidelity CAE based simulations, especially during optimization is just starting to gain traction in last few years. Availability of computing power is helping the use of such methods, but, at the same time the demand for modeling stochastic behavior with high fidelity CAE simulations and considering large number of stochastic variables still makes it prohibitive. Typically, Robust Design Optimization (RDO) formulations calculate mean and standard deviation of responses based on sampling. On the other hand Reliability Based Design Optimization (RBDO) formulations have been using methods like First Order Reliability Method (FORM) or Second Order Reliability Method (SORM) which require nested optimization to evaluate joint probability distribution and reliability factor.
2015-04-14
Technical Paper
2015-01-1473
Kalu Uduma, Dipu Purushothaman, Darshan Subhash Pawargi, Sukhbir Bilkhu, Brian Beaudet
The National Highway Transportation Safety Administration (NHTSA) issued the FMVSS 226 ruling in 2011. It established test procedures to evaluate ejection mitigation countermeasures that are intended to help minimize the likelihood of a complete and/or partial ejection of vehicle occupants through the side windows during rollover or side impact events. One of the countermeasures that may be used for compliance of this new safety ruling is a deployable restraint; specifically a Side Airbag Inflatable Curtain (SABIC). This paper discusses how three key phases of the optimization strategy in the Design for Six Sigma (DFSS), namely, Identify; Optimize and Verify (I_OV), were implemented in CAE to develop an improved simulation response, with respect to the FMVSS 226 test requirements of a SABIC. The simulated SABIC system is intended for a generic SUV and potentially also for a generic Truck type vehicle.
2015-04-14
Technical Paper
2015-01-0494
Sulki Seong, Wangoo Kim, Daesung Bae, Seungpyo Lee, Younggeol Cho, Kyeongdeok Yang
Bearing is an important part for supporting the weight and transmits power. Rotating bearing is required excellent durability. Various studies have been conducted long time, for predict performance and durability of the bearing. However, prediction of the bearing durability has been used expression computation method using a theoretical formula between the raceway and ball. Flange analysis is commonly used structural analysis. Such an approach, have assumed to be static load. So it is difficult to consider the dynamic characteristics (Centrifugal force, Gyroscope effect) of the bearing. In order to predict the accurate bearing endurance life, it should be considering the dynamic characteristics. This paper proposes the method for bearing endurance life prediction considering dynamic characteristic. Between the raceway and ball contact is one of the important factors to take into account the dynamic characteristics of the bearing.
2015-04-14
Technical Paper
2015-01-0186
Syed Arshad Kazmi, Jin Seo Park, Jens Harnisch
Abstract End of Line tests are brief set of tests intended to evaluate ECU's in order to ensure correct functioning of its intended functionality. As these tests are executed on the production line, available time to perform these tests is limited. On one hand, faster production demands require these tests and its framework to be designed in a time optimized manner. On the other hand, increase in ECU functionality translates to an increase in test's functional coverage, requiring more time. Therefore the time taken to execute the tests reaches a critical point in overall ECU production. Availability of multicore microcontrollers with increase in clock speed can increase the performance of end of line tests, but design challenges e.g. synchronization do not guarantee a linear performance increase. Therefore, design of test execution framework is absolutely critical to increase performance of test execution.
2015-04-14
Technical Paper
2015-01-0363
Vasanth Balashunmuganathan, Ramakrishna Nukala, Sathishkumar Sampath Kumar, Murali Govindarajalu
In recent years clearing the mist on side windows is one of the main criterions for all OEMs for providing comfort level to the person while driving. Visibility through the side windows will be poor when the mist is not cleared to the desired level. “Windows fog up excessively/don't clear quickly” is one of the JD Power question to assess the customer satisfaction related to HVAC performance. In a Mobile Air Conditioning System, HVAC demister duct and outlet plays an important role for removing the mist formation on vehicle side window. Normally demister duct and outlet design is evaluated by the target airflow and velocity achieved at driver and passenger side window. The methodology for optimizing the demister outlet located at side door trim has been discussed. Detailed studies are carried out for creating a parametric modeling and optimization of demister outlet design for meeting the target velocity.
2015-04-14
Technical Paper
2015-01-0431
KI Woo Sung, Jong Gurl Kim, Dae-Un Sung, Hye Mi Kim
Abstract This study examined various warranty data analysis methods to identify and study the one most suitable for Hyundai Motor warranty data. The drawbacks of the conventional life table method were overcome to develop an analysis method optimized for vehicle characteristics. The proposed method was examined for its suitability to various applications, such as providing the information necessary for determining the service life of parts, verifying the effects of design changes, and designing warranty and maintenance policies. The analysis data used in this study were derived from the 10-year powertrain parts warranty data of vehicles sold in the USA, South Korea, and China.
2015-04-14
Technical Paper
2015-01-0428
Sida Li, Xiaowu Yang, Bruce Minaker, Xiaojin (Shine) Lan, Mark Villaire
Abstract An accurate bushing model is vital for vehicle dynamic simulation regarding fatigue life prediction. This paper introduces the Advanced Bushing Model (ABM) that was developed in MATLAB® environment, which gives high precision and fast simulation. The ABM is a time-domain model targeting for vehicle durability simulation. It dynamically captures bushing nonlinearities that occur on stiffness, damping and hysteresis, through a time-history-based fitting technique, compensated with frequency dependency functionality. Among the simulated and test-collected bushing loads, good correlations have been achieved for elastomer bushings and hydraulic engine mounts and validated with a random excitation signal. This ABM model has been integrated into a virtual shaker table (from a parallel project) as the engine mount model to simulate the mount load, and has shown acceptable prediction on fatigue damage.
2015-04-14
Technical Paper
2015-01-0447
Venkatesh Agaram, Julian Venegas
Abstract System dynamics modeling of complex processes such as product development, manufacturing, and service, is an efficient approach for assessing value potential of different business transformation alternatives at small and large enterprises. Process elements such as generation of concepts, detailed designs, pilot level plant trials, etc. can be modeled including first-pass work, testing and review, rework identification and defect fixing, along with release readiness, staffing, schedule pressures, overtime and many other business metrics. Enterprise level processes, with their complex logic loops, can be represented as a system of coupled nonlinear differential equations, whose solutions can reveal the intricate underlying dynamics. Design of experiments, performed on the system dynamics models representing the business processes, are an inexpensive way of gaining insights into the impact of interactions between the numerous process control variables.
2015-04-14
Technical Paper
2015-01-0464
Christian-Andreas Schumann, Eric Forkel, Thomas Klein, Dieter Gerlach, Egon Mueller
Abstract Total quality is becoming increasingly important for competitiveness. In order to achieve high quality, the requirements must be continuously compared with the results achieved in the process. This is done by means of measurement parameters and comparative values. The acquisition of the data requires appropriate measurement methods. The measurement methods and procedures have to be constantly developed in order to measure more precisely and to generate an even higher quality. Thus, the achieved product quality can be determined absolutely and relatively. If deviations from the planned quality parameters occur, the operator will be able to intervene immediately. The presented procedure is one of the noncontact (optical) measurement methods using CMMs, 3D scanners and 3D cameras. It is a combination of stereo photography and photogrammetry.
2015-04-14
Technical Paper
2015-01-0463
Kasiraja Thangapandian, Immanuel Rajkumar
Abstract In recent years the automotive industry is facing unprecedented influx of new technology advancements and ever-increasing consumer demands for media, entertainment and connectivity applications. This drives the automotive industry to deliver the products at a faster pace, thereby reducing time to market which results in issues from end users and dealers. Automotive industries are striving hard to keep pace with these radical changes with increase in software and electronics which in turn necessitates a systematic and effective software engineering approach to deliver high quality product from the core embedded software industry. This paper details how embedded software projects are developed globally and customer issues are collected and analyzed. It also discuss about the method used for performing effective Root cause analysis for identifying the systemic issues and formulating the systemic improvement actions.
2015-04-14
Technical Paper
2015-01-0421
Hye Seong Heo, Christoph Pannemann, Yun Kyu Choi, Achim Strass
Abstract This paper presents a reliability study of a directly cooled IGBT module after a test drive of 85,000 Km in a fuel cell electric vehicle, as well as of an indirectly cooled IGBT module after a test drive of 200,000km in a hybrid car on public roads. At the end of the test drive, the inverter units were disassembled and analyzed with regard to the lifetime consumption. First, electrical measurements were carried out and the results were compared with the ones obtained directly after module production (End of Line test). After that, ultrasonic microscopy was performed in order to investigate any delamination in the solder layers. As a third step, an optical inspection was performed to monitor damages in the housing, formation of cracks or degradation of wire bonds. The results show none of the depicted failure modes could be found on the tested power modules after the field test. Obviously, no significant life time consumption could be observed.
2015-04-14
Journal Article
2015-01-0420
Musarrat Jehan, Efstratios Nikolaidis
Abstract There is randomness in both the applied loads and the strength of systems. Therefore, to account for the uncertainty, the safety of the system must be quantified using its reliability. Monte Carlo Simulation (MCS) is widely used for probabilistic analysis because of its robustness. However, the high computational cost limits the accuracy of MCS. Smarslok et al. [2010] developed an improved sampling technique for reliability assessment called Separable Monte Carlo (SMC) that can significantly increase the accuracy of estimation without increasing the cost of sampling. However, this method was applied to time-invariant problems involving two random variables. This paper extends SMC to problems with multiple random variables and develops a novel method for estimation of the standard deviation of the probability of failure of a structure. The method is demonstrated and validated on reliability assessment of an offshore wind turbine under turbulent wind loads.
2015-04-14
Technical Paper
2015-01-0582
Deepak Ranjan Bhuyan, Sreekanth Netapalli, Sathya Dev, Soundarya Srinivasan
Abstract Springback prediction for stamped components is a challenging task for Automotive Industry. Automotive Manufacturers are working to reduce the springback effect of sheet metal stampings caused due to elastic behavior of materials with the help of changes to manufacturing process and part geometry. Recent development in Finite Element Analysis (FEA) studies made it possible for the industry to rely on stamping simulation. There is always a gap between the springback predicted from stamping simulation and the actual stamped part. Currently FEA techniques are trying to close this gap. The objective of this study is to minimize this gap using DFSS method for predicting the springback and optimizing the simulation parameters with the help of LS-Dyna FEM tool. The behavior of material with different simulation parameters has been studied in this paper and the ones that best correlate with actual data are identified.
2015-04-14
Technical Paper
2015-01-0606
Jiaquan Chen, Min Qin, Lingge Jin, Liu Tao, Yongfeng Jiang, Wei Wang, Yin-Ping Chang
Abstract An automotive vehicle should be designed to satisfy the wants of customers. The key is how to convert voices of customers into engineering languages. In other words, transfer the wants of customers into the right technical characteristics of a vehicle. A questionnaire of customer wants for a CUV (Crossover Utility Vehicle) is created and processed. Using QFD (Quality Function Deployment) and modified KANO model, the relative important degree is obtained from the original relative important degree of customer wants surveyed. Since some information gained is uncertain and the questionnaire sample is limited, a gray correlation analysis method is introduced, which calculates the competitive important degree of customer wants, then the final important degree of customer wants is gained by integrating the relative important degree and the competitive important degree.
2015-04-14
Technical Paper
2015-01-0238
Nick Smith
Abstract Manufacturing companies are benefiting from technology in most key areas of the flow from design through manufacture. This applies to the wire harness industry which is a key element of the modern automotive industry. Wire harness manufacturing engineering, however, is a critical path function that is under severe pressure and yet has been under-served by technology. In some respects it has become the weak link in the chain. Recent innovations in commercial off-the-shelf (COTS) technology are set to change this situation. Software applications are now available to deliver transformational manufacturing engineering automation as well as being able to integrate with technology in other areas of the process. This will enable a digitally continuous data flow that can remove excessive cost, time, and pressure - while helping manufacturers meet the increasing demands of the industry.
2015-04-14
Technical Paper
2015-01-0487
Lev Klyatis
Abstract This paper will discuss the problem with successful predicting of product performance (reliability, quality, durability, safety, recalls, profit, life cycle cost, and other interconnected technical and economic components of performance). The best component for analysing the performance situation during service life, including predicting, is recalls, because, first, recall accumulates the safety, reliability, durability, quality, profit, and total economic situation. And second, there is open official and objective information about the number of recalls from Government (National Highway Trafic Safety Administration and others), as well as companies-producers. Therefore, for analyzing the situation with the product performance, including predicting, this paper considers the situation with recalls.
2015-04-14
Technical Paper
2015-01-1144
Kumaraswamy Hebbale, Farzad Samie, Jonathan Kish
Abstract Dual Clutch Transmissions (DCT) for passenger cars are being developed by OEMs and suppliers. The driving force is the improvement in fuel economy available from manual transmissions together with the comfort of automatic transmissions. A dry clutch system (dDCT) is currently the subject of research, development, and production implementation. One of the key issues in the development of a dDCT is clutch durability. In dry clutches with current linings, above a critical temperature, the friction system starts to suffer permanent damage. In addition, the clutch friction characteristics are a function of the clutch interface temperature. Because a reliable, low-cost temperature sensor is not available for this application, the clutch control engineers rely on a good thermal model to estimate the temperature of the clutches. A thermal model was developed for dry dual clutch transmissions to predict operating temperature of both pressure and center plates during all maneuvers.
2015-04-14
Technical Paper
2015-01-0205
Steve Trythall
Abstract Rapid resolution of electrical faults reduces costs, enhances brand image and maximizes vehicle availability. Although diagnostic systems continue to improve, service technicians frequently have to consult schematics, location views and other engineering resources to fix a problem. But this data can be hard to find, hard to understand, and out of date or wrong. This session presents new technology to leverage design data directly into the service domain. The technician is presented only with relevant vehicle-specific data, is able to navigate dynamically through electrical schematics, and can seamlessly link with other resources such as 3D models and repair procedures.
2015-04-14
Technical Paper
2015-01-1613
Nikhil Bolar, Thomas Buchler, Allen Li, Jeff Wallace
MMLV: Vehicle Durability Design, Simulation and Testing Nikhil Bolar1, Allen T. Li2, Jeff Wallace2 1Magna International 2Ford Motor Company Magna International, Ford Motor Company, and the U.S. Department of Energy initiated the Multi Materials Lightweight Vehicle (MMLV) Project in 2012. A mass reduction of 23.5% relative to a baseline 2013 Ford Fusion has been achieved. The three key attributes of structural performance evaluation for vehicle development are Safety, Noise, Vibration and Harshness (NVH) and Durability. This paper presents the full vehicle durability assessment of the MMLV Mach-I Concept Vehicle using CAE simulation of the body-in-white structure, subframe and closure designs, as well as the full vehicle field durability test at the Ford Motor Company Michigan Proving Ground.
2015-04-14
Technical Paper
2015-01-0590
Dae-Un Sung, Young Hyun Ryu, Soon Cheol Park
Recently, many kinds of new technology systems are adapted to a new developing vehicle. However the field usage information of a new technology system could not be easily obtained because it has not been used by customers. It is not easy to evaluate the reliability and durability of this system. In this research, the durability test mode of a new Adaptive Front Lighting System (AFLS) with Light Emitting Diodes (LEDs) as a new light source has been developed for a new large luxury sedan vehicle. First of all, the failure mode effect was analyzed by considering failure mechanism for each component. The thermal, vibrational, operational and electrical loads were investigated. The Road Load Data Acquisition (RLDA) technique was used to collect the vibration and temperature of an AFLS in a proving ground. The vibration test mode was designed by a Power Spectral Density (PSD) approach. The customer usage data was used for making the target cycles of operational movement such as swiveling.
2015-04-14
Technical Paper
2015-01-0600
Marc Rosenbaum
Abstract A new generation of 3D inspection machines is now available to verify in line 3D dimensional conformity of complex parts - especially Powertrain ones - with accuracy down to 0.1 μm within manufacturing cycle time of large series. Inspecting in line 100% of production with an accuracy and at speed compatible with the most demanding part accuracy and fastest cycle time is presently already a reality for some large tier1 suppliers in Europe. Purpose of this paper is to introduce this breakthrough technology using state of the art non-contact sensing technology allied with innovative mechanics and the latest developments in 3D metrology software
2015-04-14
Technical Paper
2015-01-1493
Vinay L. Virupaksha, Stuart Brown
Abstract Research Council for Automotive Repairs (RCAR) has developed a bumper test at 10 km/h to assess the damageability and repairing cost during a low speed collusion. For minimum damage and minimum repairing cost during low speed collusion it is necessary to design a bumper beam which provides structural stiffness and reduced deflection. Often it is challenging to design a front bumper beam to meet all safety requirements including, RCAR, high speed offset barrier and pedestrian protection, since these requirements are not necessarily compatible with each other. Design changes in rails and packaging constraints add to this challenge. In this study, design of six sigma (DFSS) and finite element analysis are used to study the parameters that affect the stiffness and deflection of the front bumper beam.
2015-04-14
Technical Paper
2015-01-0639
Adebola Ogunoiki, Oluremi Olatunbosun
Abstract This research proposes the use of Artificial Neural Networks (ANN) to predict the road input for road load data generation for variants of a vehicle as vehicle parameters are modified. This is important to the design engineers while the vehicle variant is still in the initial stages of development, hence no prototypes are available and accurate proving ground data acquisition is not possible. ANNs are, with adequate training, capable of representing the complex relationships between inputs and outputs. This research explores the implementation of the ANN to predict road input for vehicle variants using a quarter vehicle test rig. The training and testing data for this research are collected from a validated quarter vehicle model.
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