Development of an adaptive part feeder for handling sector-shaped parts

Udhayakumar, S.; Mohanram, P. V.; Yeshwanth, Singu; Biswal, Manas Ranjan; Sabareeswaran, A

doi:10.1108/aa-04-2013-043

Cited by 5 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results of ANOVA shown in Table 10 for aluminium indicate that the excitation frequency is the most influential factor with a contribution of 56.22 %; the second most influential factor is the coefficient of friction with 14.78 % followed by l/w ratio 13.34 % and mass 11.04 %. The least influential is the amplitude with a 4.59 % contribution, which is in line with the literature [14], [36] and [37]. Increasing the amplitude of vibration might increase the conveying velocity.…”

Section: Analysis Of Variancesupporting

confidence: 89%

Effect of Vibrator Parameters and Physical Characteristics of Parts on Conveying Velocity

Vellingiri,

Sadasivam

2023

sv-jme

View full text Add to dashboard Cite

Automation is generally employed in the area of orienting, lifting, and moving parts for production in industries including automotive, electronic, food, and packaging. With the help of automation, it is possible to reduce the manufacturing time and labour required. The most adaptable tools for feeding small, designed pieces during part assembly are vibratory feeders. Industries have been effectively using vibratory feeders for more than 30 years, indicating that such technology is advanced. Although research in this area has not been lacking, a fundamental understanding of the interactions between a part’s physical characteristics and the various vibratory feeder operating parameters in relation to optimal performance, defined as conveying a part with maximum stability and maximum velocity, remains lacking in linear feeders. While several papers discuss the effect of vibratory parameters (excitation frequency and amplitude of vibration) and the coefficient of friction, the effect of characteristics of part (l/w ratio and mass) is neglected. In this work, the effect of these factors on the conveying velocity of prismatic parts made of aluminium and brass on a horizontal track without inclination was determined, and an attempt was made to develop a predictive model based on the above factors. Using Taguchi’s design of experiments (DOE), an L16 orthogonal array was designed. A response table for the signal-to-noise ratio has yielded optimal values for each parameter taken into consideration. ANOVA predicted frequency as the most influential parameter, followed by the coefficient of friction. The regression analysis yields an R2 value of 99.3 % for aluminium and 98.7 % for brass. The results of the regression model and random experiments show a high correlation of 91.66 %. This model is required to set the desired conveying velocity of parts so that continuous flow can be maintained in automated assembly or packaging industries.

show abstract

Section: Analysis Of Variancesupporting

confidence: 89%