American Journal of Engineering and Applied Sciences

Analysis of Steel Track Undercarriage Wear Based on Geographic Location

Frederick A. Rich and Christopher Kluse

DOI : 10.3844/ajeassp.2018.359.367

American Journal of Engineering and Applied Sciences

Volume 11, Issue 1

Pages 359-367

Abstract

Undercarriage management is a critical concern for heavy equipment owners that often can account for over half of the operating cost of a piece of machinery. Understanding the most economical time to stop a machine for undercarriage maintenance is critical in the management of the undercarriage system and for optimizing profitability for the equipment owner. There has been much laboratory research performed on steel track undercarriage system wear found on dozers and track type loaders, however there has been little formal research to determine the wear patterns based on geographic location. This research analyzed the entire population of track type heavy construction equipment within a construction equipment territory to determine if there are differences in the undercarriage wear rates based on geographic location. There are 5 sub-territories that are researched to determine if the wear rates are different between these 5 geographic locations. Two of these locations are in the coastal plains region of North Carolina and three are in what is known as piedmont area of the state. This research is important because the results will assist the machine owner in maximizing the life of the undercarriage system and will result in better machine maintenance recommendations for the equipment owners. The researchers tested two hypotheses, these are: (a) the median wear out rates are the same between all geographic store locations and, (b) the median wear out rate is the same between the regions. Both null hypotheses in this study were rejected indicating there are differences in the undercarriage wear rates.

Copyright

© 2018 Frederick A. Rich and Christopher Kluse. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.