Vol 6, No 2 (2015) > Industrial Engineering >

Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee

Cucuk Nur Rosyidi, Rahmaniyah Dwi Astuti, Ilham Priadythama

 

Abstract:

In this
research, an optimization and improvement of gas spring design is discussed.
The gas spring is used as a suspension component of an energy storing
prosthetic knee. The gas spring replaces the quadricep muscles of transfemoral
amputee. A deterministic and a stochastic optimization is proposed in this
research. Both models are used to determine the optimal design variables of the
gas spring: cylinder diameter, cylinder length, extension stroke, and
compression stroke. The optimal design variables resulted from the deterministic
optimization model must be further analyzed to determine the effect of its
variation to the objective function. Monte Carlo simulation is used to
determine the effect of such variation and making improvement when necessary.
Process capability index (Cp) is used as a criteria to make such improvement
considering the contribution to variation of design variables to the objective
function. Stochastic optimization is proposed to find the optimal design
variables by taking into consideration the randomness of its parameters. The
objective function of the stochastic optimization is to maximize the capability
process. Both Monte Carlo simulation and stochastic optimization was solved
using Oracle Crystal Ball Software. From the simulation, the reduction of
compression stroke and extension stroke standard deviations resulted in 30%
improvement of energy storage standard deviation. The Cp is also improved about
70% from 0.99 to 1.44.  The stochastic
optimization resulted in extension stroke and compression stroke which are
shorter than deterministic optimization with 1.25 process capabilty.



 



Keywords: gas spring, improvement , stochastic optimization, Monte Carlo simulation

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