GEOMETRIC OPTIMIZATION OF HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSION USING INTELLIGENT TECHNIQUES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

DELKHOSH M.; SAADAT FOUMANI M.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Applied and Computational Sciences in Mechanics Year:2011 | Volume:23 | Issue:1 (5) Page(s): 29-40

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

734

Download:

Cites:

Information Journal Paper

Title

GEOMETRIC OPTIMIZATION OF HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSION USING INTELLIGENT TECHNIQUES

Author(s)

DELKHOSH M. | SAADAT FOUMANI M. | Issue Writer Certificate

Keywords

POWER TRANSMISSIONQ2

CONTINUOUSLY VARIABLE TRANSMISSIONQ2

HALF TOROIDALQ2

OPTIMIZATIONQ2

GENETIC ALGORITHMQ2

Abstract

The objective of this research is geometrical OPTIMIZATION of HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSION (CVT) in order to achieve high POWER TRANSMISSION efficiency and low weight. After dynamic analysis of the system, the contact between the disk and the roller is modeled according to elasto-hydrodynamic lubrication principles. Accordingly, a computer model is created with geometric, thermal and kinetic parameters as inputs of the system, to determine the efficiency and the weight of CVT. Results are compared to those obtained from models in other articles to confirm its validity. Geometric parameters are obtained by means of genetic OPTIMIZATION algorithm, while OPTIMIZATION parameters are POWER TRANSMISSION efficiency and system weight. It is observed that regardless of weight coefficients assigned to POWER TRANSMISSION efficiency and weight, difference between results are negligible. Also, the effect of oil film temperature, speed ratio and rotational speed of input disk on POWER TRANSMISSION efficiency for optimized geometry is shown.

Cites

No record.

References

No record.

Cite

APA: Copy

DELKHOSH, M., & SAADAT FOUMANI, M.. (2011). GEOMETRIC OPTIMIZATION OF HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSION USING INTELLIGENT TECHNIQUES. JOURNAL OF APPLIED AND COMPUTATIONAL SCIENCES IN MECHANICS (JOURNAL OF SCHOOL OF ENGINEERING), 23(1 (5)), 29-40. SID. https://sid.ir/paper/196302/en

Vancouver: Copy

DELKHOSH M., SAADAT FOUMANI M.. GEOMETRIC OPTIMIZATION OF HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSION USING INTELLIGENT TECHNIQUES. JOURNAL OF APPLIED AND COMPUTATIONAL SCIENCES IN MECHANICS (JOURNAL OF SCHOOL OF ENGINEERING)[Internet]. 2011;23(1 (5)):29-40. Available from: https://sid.ir/paper/196302/en

IEEE: Copy

M. DELKHOSH, and M. SAADAT FOUMANI, “GEOMETRIC OPTIMIZATION OF HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSION USING INTELLIGENT TECHNIQUES,” JOURNAL OF APPLIED AND COMPUTATIONAL SCIENCES IN MECHANICS (JOURNAL OF SCHOOL OF ENGINEERING), vol. 23, no. 1 (5), pp. 29–40, 2011, [Online]. Available: https://sid.ir/paper/196302/en

Related Journal Papers