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Friction caused by side force on a damper axis results in riding discomfort. In order to cancel the side force, accurate shape control for coil springs have been recently become crucial. After designing a target coil shape using a finite element analysis (FEA), actual coiling processes can be done by a NC coiling machine(C/M). The problem with this method is that the NC coiling machine has its own characteristics which coiling experts have to consider when adjustments are made to the control points of the NC machine. This adjustment process usually takes significant amounts of time in order to meet the target coil shape, because the coiling experts do their adjustments by a conventional method based on their experience. This paper describes how to automate the control point design process to reduce the coiling effort and to save time. An ARMA model is used for the coiling machine modeling and its dimensions are determined by the physical dimension of the actual coiling machine.

The MacPherson strut is widely used in the automotive industry. Many investigations regarding the minimization of damper friction force have been published; however, this is not the case with vehicle self steer. There are several methods to reduce the amount of vehicle self steer. The objective of this paper is to minimize vehicle self steer with respect to spring force line position. To investigate the relationship between vehicle self steer and spring force line, a mathematical model of suspension system was developed and then solved to obtain the optimum force line position that minimizes vehicle self steer. The solution to the mathematical model found was that the force line must pass through the upper mount center in order to minimize vehicle self steer, or the force line must be on the same plane as the kingpin axis. Sensitivity analysis was performed to investigate the variability of the force line position on vehicle self steer.