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Mohammadi, Hosein, Sharififar, Masoud, Ataee, Ali Asghar. (1393). Numerical and Experimental Analysis and Optimization of Process Parameters of AA1050 Incremental Sheet Forming. , 45(1), 35-45. doi: 10.22059/jcamech.2014.52314
Hosein Mohammadi; Masoud Sharififar; Ali Asghar Ataee. "Numerical and Experimental Analysis and Optimization of Process Parameters of AA1050 Incremental Sheet Forming". , 45, 1, 1393, 35-45. doi: 10.22059/jcamech.2014.52314
Mohammadi, Hosein, Sharififar, Masoud, Ataee, Ali Asghar. (1393). 'Numerical and Experimental Analysis and Optimization of Process Parameters of AA1050 Incremental Sheet Forming', , 45(1), pp. 35-45. doi: 10.22059/jcamech.2014.52314
Mohammadi, Hosein, Sharififar, Masoud, Ataee, Ali Asghar. Numerical and Experimental Analysis and Optimization of Process Parameters of AA1050 Incremental Sheet Forming. , 1393; 45(1): 35-45. doi: 10.22059/jcamech.2014.52314

Numerical and Experimental Analysis and Optimization of Process Parameters of AA1050 Incremental Sheet Forming

Journal of Computational Applied Mechanics
مقاله 14، دوره 45، شماره 1، آذر 2014، صفحه 35-45    اصل مقاله (1.01 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jcamech.2014.52314
نویسندگان
Hosein Mohammadi* 1؛ Masoud Sharififar2؛ Ali Asghar Ataee3
1MS Graduate, Department of Mechanical Engineering, University of Tehran, Tehran, Iran
2Department of Metallurgy and Material Engineering, Malek-Ashtar University of Technology, Tehran, Iran
3Assistant Professor, School of Mechanical Engineering, University of Tehran, Tehran, Iran
چکیده
The incremental sheet metal forming (ISMF) process is a new and flexible method that is well suited for small batch production or prototyping. This paper studies the use of the finite element method in the incremental forming process of AA1050 sheets to investigate the influence of tool diameter, vertical step size, and friction coefficient on forming force, spring-back, and thickness distribution. A comparison between numerical and experimental results is made to assess the suitability of the model. An approach for the optimal process factors in the incremental sheet metal forming was proposed, which integrates a finite element simulation technique, artificial neural network, and genetic algorithm. This approach is incorporated to suggest a model for process factors in terms of friction coefficient (μ), vertical step size (S) and tool diameter (D). It is found that the friction coefficient decreases spring-back value whereas vertical step size results vertical force increase and minimum thickness decrease. Tool diameter increases forming force and spring-back values.

کلیدواژه‌ها
finite element method؛ Genetic Algorithm؛ incremental sheet metal forming؛ Neural Network
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