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Process automation is one of the emerging technologies in the field of computer aided engineering (CAE). A majority of the CAE processes involve repetitive steps during the product development and enhancement phases. An effort is being made to improve the engineer's efficiency by automating the repetitive tasks. The objective of the current study is to demonstrate the capabilities of CAE or FE process automation. Using a CAE process authoring and execution environment, a process was developed for the standard neck pendulum certification for the FE Hybrid III 5th percentile female ATD model. Standard pre-processing tasks for the typical neck pendulum certification simulation such as ATD head/neck replacement and positioning, resolving connections, quality checks, boundary and loading conditions, contact definitions, etc. were defined as process steps. Solver execution and post-processing were also made part of the process automation for the review of results and report generation.

A biaxial test device was designed to obtain the material properties of aortic tissue at rates consistent with those seen in automotive impact. Fundamental to the design are four small tissue clamps used to grasp the ends of the tissue sample. The applied load at each clamp is determined using subminiature load cells in conjunction with miniature accelerometers for inertial compensation. Four lightweight carriages serve as mounting points for each clamp. The carriages ride on linear shafts, and are equipped with low-friction bearings. Each carriage is connected to the top of a central drive disk by a rigid link. A fifth carriage, also connected to the drive disk by a rigid link, is attached at the bottom. A pneumatic cylinder attached to the lower carriage initiates rotation of the disk. This produces identical motion of the upper carriages in four directions away from the disk center.

One of the leading causes of death in automotive crashes is traumatic rupture of the aorta (TRA) or blunt aortic injury (BAI). The risk of fatality is high if an aortic injury is not detected and treated promptly. The objective of this study is to investigate TRA mechanisms using finite element (FE) simulations of reconstructed real-world accidents involving aortic injury. For this application, a case was obtained from the William Lehman Injury Research Center (WLIRC), which is a Crash Injury Research and Engineering Network (CIREN) center. In this selected crash, the case vehicle was struck on the left side with a Principal Direction of Force (PDoF) of 290 degrees. The side structure of the case vehicle crushed a maximum of 0.33 m. The total delta-V was estimated to be 6.2 m/s. The occupant, a 62-year old mid-sized male, was fatally injured. The occupant sustained multiple rib fractures, laceration of the right ventricle, and TRA, among other injuries.

The two main motivations for Wayne State University (WSU) and Henry Ford Hospital (HFH) researchers to develop numerical human surrogates are advanced computing technology and a high-speed x-ray imaging device not available just a decade ago. This paper summarizes the capabilities and limitations of detailed component models of the human body, from head to foot, developed at WSU over the last decade (Zhang et al. 2001, Yang et al. 1998, Shah et al. 2001, Iwamoto et al. 2000, Lee et al. 2001 and Beillas et al. 2001). All of these models were validated against global response data obtained from relevant high-speed cadaveric tests. Additionally, some models were also validated against local kinematics of bones or soft tissues obtained using the high-speed x-ray system. All of these models have been scaled to conform to the key dimensions of a 50th percentile male.