Doctoral Dissertations

Keywords and Phrases

Dragline; Dynamic; Kane's method; Kinematic; Mining machinery; Wire rope


"The dragline machinery is one of the largest equipment for stripping overburden materials in surface mining operations. Its effectiveness requires rigorous kinematic and dynamic analyses. Current dragline research studies are limited in computational dynamic modeling because they eliminate important structural components from the front-end assembly. Thus, the derived kinematic, dynamic and stress intensity models fail to capture the true response of the dragline under full operating cycle conditions. This research study advances a new and robust computational dynamic model of the dragline front-end assembly using Kane's method. The model is a 3-DOF dynamic model that describes the spatial kinematics and dynamics of the dragline front-end assembly during digging and swinging. A virtual simulator, for a Marion 7800 dragline, is built and used for analyzing the mass and inertia properties of the front-end components.

The models accurately predict the kinematics, dynamics and stress intensity profiles of the front-end assembly. The results showed that the maximum drag force is 1.375 MN, which is within the maximum allowable load of the machine. The maximum cutting resistance of 412.31 KN occurs 5 seconds into digging and the maximum hoist torque of 917. 87 KN occurs 10 seconds into swinging. Stress analyses are carried out on wire ropes using ANSYS Workbench under static and dynamic loading. The FEA results showed that significant stresses develop in the contact areas between the wires, with a maximum von Mises stress equivalent to 7800 MPa. This research study is a pioneering effort toward developing a comprehensive multibody dynamic model of the dragline machinery. The main novelty is incorporating the boom point-sheave, drag-chain and sliding effect of the bucket, excluded from previous research studies, to obtain computationally dynamic efficient models for load predictions"--Abstract, page iii.


Frimpong, Samuel
Awuah-Offei, Kwame, 1975-

Committee Member(s)

Galecki, Greg
Chandrashekhara, K.
Akin, Elvan


Mining Engineering

Degree Name

Ph. D. in Mining Engineering


Robert H Quenon Endowment Fund


Missouri University of Science and Technology

Publication Date

Fall 2018


xv, 228 pages

Note about bibliography

Includes bibliographic references (pages 212-227).


© 2018 Muhammad Ali Wardeh, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 11449

Electronic OCLC #