Design of experiments, a statistical method to analyse sheet metal forming defects effectively

Author(s):  
D. Bauer ◽  
R. Leidolf
2014 ◽  
Vol 527 ◽  
pp. 111-116 ◽  
Author(s):  
Sunil D. Majagi ◽  
G. Chandramohan

The purpose of the paper is to investigate the dependency of various parameters on metal forming process using mathematical models. The incremental sheet metal forming process was studied using Box–Behnken design of experiments along with response from surface methodology analysis. In the study process factors namely feed rate, speed and coolant were analysed to understand the effect on the surface roughness, percentage (%) of thickness reduction, grain size and hardness of the Aluminium (Al) sheet metal, were examined after forming. The surface model analysis predicts that all four responses of the incremental forms show very strong correlation with the experimental results. The optimized process of incremental forming that runs on maintained levels of predicted factors, yield responses very close to that predicted from the model.


Author(s):  
Е. А. Фролов ◽  
В. В. Агарков ◽  
С. И. Кравченко ◽  
С. Г. Ясько

To determine the accuracy of the readjustable punches for separating operations (perforation + punching out) of sheet-metal forming, the accuracy parameters were analyzed using the random balance method using the method of experiment planning. Analytical dependencies are obtained to determine the values of deviation of the outer and inner contour dimensions of perforated and punched out sheet parts. From the dependencies obtained, it is possible to estimate and predict the value of deviation in the dimensions of the resulting part at any time during the operation of the punch. Practical recommendations on the calculation of the actuating dimensions of the working elements (stamping punch, matrix) of readjustable punches are offered.


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