IDENTIFYING PROCESS DAMPING OF MILLING PROCESS AND MULTI OBJECTIVE OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE

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.

GHODDOSIAN ALI; POUR MASOUD; SHEIKHI MOJTABA

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

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2014 | Volume:14 | Issue:2 Page(s): 97-106

Download Full-Text

Persian Verion

View:

752

Download:

Cites:

Information Journal Paper

Title

IDENTIFYING PROCESS DAMPING OF MILLING PROCESS AND MULTI OBJECTIVE OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE

Author(s)

GHODDOSIAN ALI | POUR MASOUD | SHEIKHI MOJTABA | Issue Writer Certificate

Keywords

OPTIMIZATIONQ2

MATERIAL REMOVAL RATEQ2

SURFACE TEXTUREQ2

PROCESS DAMPINGQ2

LOW IMMERSION MILLINGQ2

Abstract

In this research, the effects of cutting parameters on MATERIAL REMOVAL RATE and surface roughness, are investigated. Therefore, after that the comprehensive model of low‐immersion milling is developed, the optimum cutting conditions has to be found for optimizing all of them. The stability criterion is considered as the OPTIMIZATION constraint which is calculated by TFEA. On the other hand, instead of using explicit equation for calculating surface roughness, such as previous works, surface roughness is calculated by TFEA for all of the cases that are needed. Finally, the ability of Genetic algorithm, Particle Swarm OPTIMIZATION and Imperialist Competitive Algorithm for searching optimum cutting parameters are compared and the results are reported. By comparing the results of the three algorithms it is shown that the ICA is more powerful to deal with nonlinearity aspects of the problem and to tackle sticking in local minimums. Also it is demonstrated that the convergence rate of the ICA is faster than the other two methods. Finally, experiments to confirm the changes of the objective function toward optimal point are done and error percentage of objective function at obtained optimal point compared with experimental result is determined.

Cites

No record.

References

No record.

Cite

APA: Copy

GHODDOSIAN, ALI, POUR, MASOUD, & SHEIKHI, MOJTABA. (2014). IDENTIFYING PROCESS DAMPING OF MILLING PROCESS AND MULTI OBJECTIVE OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE. MODARES MECHANICAL ENGINEERING, 14(2), 97-106. SID. https://sid.ir/paper/178372/en

Vancouver: Copy

GHODDOSIAN ALI, POUR MASOUD, SHEIKHI MOJTABA. IDENTIFYING PROCESS DAMPING OF MILLING PROCESS AND MULTI OBJECTIVE OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE. MODARES MECHANICAL ENGINEERING[Internet]. 2014;14(2):97-106. Available from: https://sid.ir/paper/178372/en

IEEE: Copy

ALI GHODDOSIAN, MASOUD POUR, and MOJTABA SHEIKHI, “IDENTIFYING PROCESS DAMPING OF MILLING PROCESS AND MULTI OBJECTIVE OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE,” MODARES MECHANICAL ENGINEERING, vol. 14, no. 2, pp. 97–106, 2014, [Online]. Available: https://sid.ir/paper/178372/en

Related Journal Papers