A COMPUTATIONAL APPROACH FOR EVALUATING HELICAL COMPRESSION SPRINGS
Helical compression springs are generally synthesized and evaluated by determining the maximum torsional stress, fatigue life, natural frequency, and/or load loss due to stress relaxation. To this end, researchers have developed finite element analysis (FEA) modeling methods to simulate the design performance of helical compression springs. The intent of this paper was to make a useful contribution to the published works for evaluating round wire helical compression springs. Specifically, commercially available FEA software was used to construct a structural model of a helical compression spring to simulate its full range of compression. The proposed FEA modeling methodology considers coil-to-coil contact and the end coils were modeled as rigid surfaces. With 9 mm of compression, the predicted spring rate correlated with the analytically calculated value to within 5%.
Fundamentals Of Machine Component Design
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An optimum design for composite helical springs
Abstract An optimization study on helical compression springs has been performed in this paper. Two objectives are considered: the first objective is to minimize the spring weight, and the second is to maximize the spring stiffness. These two objectives are affected by many engineering design parameters, which can be categorized in three main groups: functional, composite material, and geometrical groups. The objective functions and constraints are mathematically formulated and written in a multi-criteria optimization problem with a non-linear non-equality constraints form. Optimum design parameters, minimum spring weight, and maximum stiffness pertinent to each type of composite material under investigation can then be selected from the results obtained.