Abstract
OBJECTIVE: The purpose of this work was to help a steel industry partner select the most appropriate of three high end heavy equipment seats to retrofit a number of their heavy mobile machines used in the steel making process.
PARTICIPANTS: The participants included 8 males (22.3 ± 2.0 yrs.) and 8 females (23.5 ± 1.8 yrs.) with no experience operating heavy mobile equipment.
METHODS: Previously recorded 6-DOF chassis acceleration data from a
Pot Hauler (a machine which picks up and transports pots of slag) were used to
extract six, 20 second representative profiles for implementation on a
lab-based heavy machine simulator (6-DOF Parallel Robotics System Corporation
robot). Subjects sat on three heavy equipment seats (BeGe7150, Grammar MSG
95G1721, and a 6801 Isringhausen with the seat pan cushion retrofitted with a
Skydex™ cushion) mounted on the simulator. Each subject completed three
trials for each combination of seat (n=3) and vibration profile (n=6). Chassis
and operator/seat interface vibration were measured by 2, 6-DOF vibration
transducers. Variables included Seat Effective Amplitude Transmissibility
(SEAT) (X,Y,Z,Roll,Pitch,Yaw,6DOF Vector Sum) to determine if the seat was
attenuating or amplifying the vibration, 6-degree of freedom (DOF) vibration
total value weighted predicted comfort (A
RESULTS: Factorial ANOVAs revealed significant differences (p⩽
0.05) between seats for all SEAT variables but different seats performed better
than others depending on the axis. Significant differences between males and
females were observed for SEAT in X,Y, and Pitch as well as for
A
CONCLUSIONS: Based upon the number of seat and vibration profile interactions, results suggest that a single seat is not suited for all tested conditions. However, SEAT values for all of the seats tested were extremely low (e.g., 6-DOF SEAT < 30%) indicating that all of the seats were capable of providing good vibration attenuation.
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