Military ground vehicles are currently designed using requirements from MIL-STD-1472, the Department of Defense Design Criteria Standard Human Engineering. The MIL-STD, however, is difficult for designers to apply properly because it is often open to interpretation. Easy-to-use Computer-Aided Design (CAD) tools, such as accommodation models, are needed by the ground vehicle community to address this issue (Zielinski, Huston II, Kozycki, Kouba, and Wodzinski, 2015). The third in a series of accommodation models being created is the Fixed Eye Point (FEP) accommodation model. Verification is intended to build confidence in the FEP CAD model for use in ground vehicle design. The model described in this verification report is the Ground Vehicle Systems Center (GVSC) Fixed Eye Point (FEP) CAD model. This model is applicable to ground vehicle driver workstations where the users tend toward a common eye point for performing tasks. This encompasses several scenarios, including the use of indirect vision systems (i.e., vision blocks or displays). The model is also applicable to non-driver workstations equipped with adjustable seats that require the crew to interact with controls and displays using hands and a common eye point. The boundaries defined provide required space claim for the equipped users' helmet, eyes, elbows, knees, and boots. Clearances between the user and surrounding interior vehicle surfaces have been added per MIL-STD- 1472 (e.g. head clearance required from head (helmet) to vehicle roof line).
Fixed Eye Point (FEP): Driver CAD Accommodation Model Verification Report (Version 1.0)
2021
55 pages
Report
No indication
English
Computer Software , Transportation , Acceptability , Air force , Computer-aided design , Department of defense , Design criteria , Engineering , Engineers , Ground vehicles , Human factors engineering , Human systems integration , Military vehicles , Personal protective equipment , Protective equipment , Spreadsheet software , Standards , Task performance and analysis , Warfare
Driver accommodation assessment using physics-based posture prediction model
Automotive engineering | 2012
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