Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process

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.

AKHYANI M.; MIKAEIL R.; SERESHKI F.; TAJI M.

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

Journal Paper

Paper Information

Journal: JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES) Year:2019 | Volume:10 | Issue:3 Page(s): 559-574

Download Full-Text

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

Persian Verion

View:

395

Download:

146

Cites:

Information Journal Paper

Title

Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process

Author(s)

AKHYANI M. | MIKAEIL R. | SERESHKI F. | TAJI M. | Issue Writer Certificate

Keywords

Circular Diamond Saw WearQ1

Fuzzy Rock Engineering SystemsQ1

Genetic AlgorithmQ1

Abstract

Predicting the wear performance of circular diamond saw in the process of sawing hard dimensional stone is an important step in reducing production costs in the stone sawing industry. In the present research work, the effective parameters on Circular Diamond Saw Wear are defined, and then the weight of each parameter is determined through adopting a fuzzy rock engineering system (Fuzzy RES) based on defining an accurate Gaussian pattern in fuzzy logic with analogous weighting. After this step, Genetic Algorithm (GA) is used to determine the levels of the four major variables and the amounts of the saw wear (output parameter) in the classification operation based on the fixed, dissimilar, and logarithmic spanning methods. Finally, a mathematical relationship is suggested for evaluation of the accuracy of the proposed models. The main contribution of our method is the novelty of combination of these methods in fuzzy RES. Before this work, all Fuzzy RESs only use simple membership functions and uniform spanning. Using GA for spanning and normal distribution as membership function based upon our latest work is the first work in fuzzy RES. To verify the selected proposed model, rock mechanics tests are conducted on nine hard stone samples, and the diamond saw wear is measured and compared with the proposed model. According to the results obtained, the proposed model exhibits acceptable capabilities in predicting the Circular Diamond Saw Wear.

Cites

No record.

References

No record.

Cite

APA: Copy

AKHYANI, M., MIKAEIL, R., SERESHKI, F., & TAJI, M.. (2019). Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), 10(3 ), 559-574. SID. https://sid.ir/paper/256404/en

Vancouver: Copy

AKHYANI M., MIKAEIL R., SERESHKI F., TAJI M.. Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)[Internet]. 2019;10(3 ):559-574. Available from: https://sid.ir/paper/256404/en

IEEE: Copy

M. AKHYANI, R. MIKAEIL, F. SERESHKI, and M. TAJI, “Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process,” JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), vol. 10, no. 3 , pp. 559–574, 2019, [Online]. Available: https://sid.ir/paper/256404/en

Related Journal Papers