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The International Insurance Whiplash Protection Group (IIWPG) rating system has driven improvements in head restraint (head restraint) geometry and the addition of a dynamic test has helped address head restraint construction parameters. FMVSS 202a Static imposes more stringent requirements on backset and stiffness and the Dynamic option relaxes the potentially uncomfortable backset requirement if angular head movement can be limited to a specified level. These two requirements utilize different crash dummies and measurement parameters. The BioRID2 ATD (IIWPG) rewards a seat with good torso penetration to reduce neck loading. Seats with high comfort content tend to rate low. The Hybrid III-50 ATD (FMVSS) rewards limited lower torso penetration to reduce head rotation relative to the torso. Current production seats without active head restraints (AHR) are difficult to optimize to meet both the requirements of FMVSS 202a Dynamic and earn an IIWPG rating of Good.

Human models are viable methods of introducing human factors and ergonomic objectives into the design process at an early stage. Used correctly, they allow users to simulate and analyze potential human-machine interactions saving time and money. As with any model, mistakes can be made. The primary sources of error stem from incorrect use and misinterpretation of the results by the analyst. The development of three-dimensional human modeling software has only compounded these issues by adding a digital subject, itself a human model. This complicates the interpretation and use of these tools by layering one human model on top of another. The purpose of this paper is to highlight common categories of misuse and misinterpretation of digital human models as well as to propose a method for improving user understanding of human models through formal documentation of critical components.

Size is one of the most basic and important factors when determining fit for people. Many methods used to test occupant fit and accommodation rely on a traditional set of three different sized manikins - 5th, 50th and 95th percentiles. Anthropometry, the study of human size dimensions, however, is a complex multivariate problem. Real people, real drivers are a mixture of dimensions tall thin, short, stout, etc. This paper examines population anthropometry and these traditional percentiles specific to vehicular seat design.

Unweighted dB, dB(A), and Articulation Index do not always accurately identify the sound quality of vehicle interior noise. This paper attempts to determine the relevance of sound quality in interior automotive acoustics. Traditionally, overall dB(A) levels have been the driving factor, along with cost, in selecting an interior automotive acoustic package. In this paper, we make use of subjective jury evaluations to compare perceptions of various interior acoustic packages and compare these results to objective values. These values include, but are not restricted to, dB, dB(A), and Articulation Index. Considerations are made as to whether differences between packages can be perceived by customers. This paper also attempts to show that subjective evaluations can differ with the standard metrics used to select acoustic packages and describe why such evaluations might be important in acoustic package selection.

During high-speed rear impacts with delta-V > 25 km/h, the front seats may rotate rearward due to occupant and seat momentum change leading to possibly large seat deflection. One possible way of limiting this may be by introducing a structure that would restrict large rotations or deformations, however, such a structure would change the front seat occupant kinematics and kinetics. The goal of this study was to understand the influence of seat back restriction on head, neck and torso responses of front seat occupants when subjected to a moderate speed rear-impact. This was done by simulating a rear impact scenario with a delta-V of 37.4 km/h using LS-Dyna, with the GHBMC M50 occupant model and a manufacturer provided seat model. The study included two parts, the first part was to identify worst case scenarios using the simplified GHBMC M50-OS, and the second part was to further investigate the identified scenarios using the detailed GHBMC M50-O.

Today trucks account for close to half of the US passenger vehicle market. And customers expect more and more from their trucks in terms of comfort and convenience features. The key to developing Best-in-Class comfort and convenience attributes lies in applying Ergonomic principles to the vehicle interior design. Lear Corporation has recently studied 4 truck interiors in the Sport Utility Market Segment focusing on Ergonomic design issues. This paper will review the Sport Utility study results and make interior design recommendations. In this market, functionality is of primary importance to customers. Using random samples of truck owners, we have examined the functionality of door panels, consoles, controls, cupholders, cargo covers and the rear cargo area. Several factors ranging from reach criteria, tactile feel and usability through operating efforts and the motion required to operate the various features were examined.

In order to more accurately simulate the load distributions and histories experienced by automotive seats in field use, more biofidelic motion and loading devices are needed. Lear and KUKA have developed a system capable of controlling the coordinated motions of a pelvis, thighs and torso dummy in order to mimic human motions. The system takes kinematic data collected from human trials and converts them directly to a robot program. Additionally, simultaneous measures of human loading using pressure distribution mats can be obtained, and these measures are used as the basis for teaching the robot to correct the kinematic data using a neural net learning algorithm. The robot has direct and indirect load feedback integration that allows the load to be precisely maintained throughout the duration of a cycle test.

Continuing effort in measuring human vibration response results in a new design of vibration comfort dummy. The difference between this new dummy and other mechanical dummies is that (1) it uses a soft human-tissue like lower torso so it matches compliance better than the previous ones, and (2) it utilizes the spring and damping characteristics of the compliant lower torso. The lower torso is integrated with a spring-mass load simulating the top body of human so that the integrated dummy consists of two parts. This unique design greatly improves the accuracy and stability of transmissibility measurement and provides a direct application tool in seat prototype development. The results measured with dummy are compared with that measured with 3 human subjects in different percentiles and good match is found in the first transmissibility resonance and overall vibration response.

In order to more accurately simulate the load distributions and histories experienced by automotive seats in field use, more biofidelic motion and loading devices are needed. A new test dummy was developed by Lear Corporation and First Technology Safety Systems. This dummy uses exact skeletal geometry encased in a one-piece seamless mold with contours based on ASPECT data. A prototype was constructed and tested to demonstrate the efficacy of the concept. The skeleton and contour molds were created from CAD-generated rapid prototypes. The flesh was carefully formulated to have the mechanical properties of bulk muscular tissue in a state of moderate contraction, using data from the literature. This design allows much greater accuracy in reproducing human loads than was ever possible previously. The design has applications in durability, vibration and comfort testing.

Seats and carpets were evaluated for generating static charges on vehicle occupants. Active measures that eliminate or reduce static accumulation, and passive measures that dissipate static charge in a controlled manner were investigated. The active measures include using durable anti-static finishes or conductive filaments in seating fabrics. The passive measures include adopting conductive plastics in a steering wheel, seat belt buckle release button, or door opening handle. The effectiveness of these measures was tested in a low humidity environment.

Many studies have been done to objectively measure car seat foam properties and correlate them to comfort performance. Typically, the vibration characteristics (namely transmissibility) of the foam cushion are measured. It has been generally accepted that low natural frequency equates to better comfort. However, no subjective studies have been done to verify that humans can feel the vibration differences that are measured. Also, the measured differences of the foam may not be detectable once the foam is built into a complete seat. Three different foam formulations utilizing MDI (methylene diphenyl diisocyanate) and TDI (toluene diisocyanate) technology were evaluated for vibration characteristics. The foams were then submitted to subjective human testing and objective lab testing after being built into seats. The subjective testing was done using a typical ride and drive evaluation where people were interviewed about the comfort of the seat while driving over various road conditions.

Wireless Power Transfer (WPT) promises automated and highly efficient charging of electric and plug-in-hybrid vehicles. As commercial development proceeds forward, the technical challenges of efficiency, interoperability, interference and safety are a primary focus for this industry. The SAE Vehicle Wireless Power and Alignment Taskforce published the Recommended Practice J2954 to help harmonize the first phase of high-power WPT technology development. SAE J2954 uses a performance-based approach to standardizing WPT by specifying ground and vehicle assembly coils to be used in a test stand (per Z-class) to validate performance, interoperability and safety. The main goal of this SAE J2954 bench testing campaign was to prove interoperability between WPT systems utilizing different coil magnetic topologies. This type of testing had not been done before on such a scale with real automaker and supplier systems.