Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee
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 prop...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2015-04-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/1357 |
| _version_ | 1797972956508323840 |
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| author | Cucuk Nur Rosyidi Rahmaniyah Dwi Astuti Ilham Priadythama |
| author_facet | Cucuk Nur Rosyidi Rahmaniyah Dwi Astuti Ilham Priadythama |
| author_sort | Cucuk Nur Rosyidi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T03:56:35Z |
| format | Article |
| id | doaj.art-aea0ea6579a74cb8aab50968506a5e79 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-04-11T03:56:35Z |
| publishDate | 2015-04-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-aea0ea6579a74cb8aab50968506a5e792023-01-02T00:29:48ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002015-04-016227328310.14716/ijtech.v6i2.13571357Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic KneeCucuk Nur Rosyidi0Rahmaniyah Dwi Astuti1Ilham Priadythama2Department of Industrial Engineering, Faculty of Engineering Universitas Sebelas Maret, Surakarta 57126, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering Universitas Sebelas Maret, Surakarta 57126, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering Universitas Sebelas Maret, Surakarta 57126, IndonesiaIn 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.http://ijtech.eng.ui.ac.id/article/view/1357gas spring, improvement , stochastic optimization, Monte Carlo simulation |
| spellingShingle | Cucuk Nur Rosyidi Rahmaniyah Dwi Astuti Ilham Priadythama Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee International Journal of Technology gas spring, improvement , stochastic optimization, Monte Carlo simulation |
| title | Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee |
| title_full | Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee |
| title_fullStr | Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee |
| title_full_unstemmed | Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee |
| title_short | Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee |
| title_sort | optimization and improvement of gas spring design in an energy storing prosthetic knee |
| topic | gas spring, improvement , stochastic optimization, Monte Carlo simulation |
| url | http://ijtech.eng.ui.ac.id/article/view/1357 |
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