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A Tapped Density Taguchi Optimization for Orange Peel Particulate Green Fillers Ajibade, Oluwaseyi Ayodele; Agunsoye, Johnson Olumuyiwa; Oke, Sunday Ayoola
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22415

Abstract

Transportation of green fillers for composites has serious densification implications due to particulate shape irregularities and size distributions. To date, few scientific studies are available on the tapped density measurements of orange peel particulate fillers. In this work, experiments were conducted on the tapped density of orange peel particulates in gentle and successive taps to the measuring cylinder containing the particulate matter. Taguchi's technique of "smaller-the-better" quality characteristics used in measuring the signal-to-noise (S/N) ratio was applied to determine the optimal setting of the tapped density process parameters. Within a range of taps from 1 to 48 points, all tapped points showed that 0.425mm OPP has a higher average apparent density of 3.22g/cm2 than 0.600mm (i.e. 3.189g/cm3) except for points at 8, 28 and 32 taps. Furthermore, for the 0.600mm OPP, its average tapped density improved by 6.97% compared to its average apparent density. Moreover, it was found that the Taguchi optimal setting for the tapped density of OPP given was A1B1C1, which reads as 8.727 number of taps, a tapped density of 4.433 and 4.395g/cm3, respectively, for the 0.425 and 0.600mm OPP samples sizes. This means that the required number of taps to obtain OPPs with light density and structural integrity to meet improved composite variety demands would be 8.727 taps, while a tapped density of 4.433 and 4.395g/cm3 is required for the 0.425 and 0.600mm OPP sizes. Hence, the number of taps was the tapped density parameter that had the greatest effect on the S/N ratios of the tapped filler materials. The results are of immense benefit to composite design engineers and equipment manufacturers for behavioural simulation and testing purposes.
A Taguchi-Simplex Algorithm for the Optimization of Tapped Density for Particulate Orange Peels Ajibade, Oluwaseyi Ayodele; Agunsoye, Johnson Olumuyiwa; Oke, Sunday Ayoola
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 1: February 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i1.22412

Abstract

In the composite industry, green fillers transported between locations face undesirable impacts of road surface on powder loads but few methods accurately account for this challenge in tapped density measurements. The purpose of this paper is to introduce a methodology to help composite development engineers manage the transportation of orange particles in transit, on vehicles as they move from the particle production locations to the production process locations. In this paper, the Taguchi method-simplex algorithm (TM-SA) method is proposed for the tapped density optimization of orange peel particulates (OPPs). OPPs of 0.425 and 0.600mm for automobile applications are optimized using experimental data. Managing the transportation process of orange peel particulates and their outcomes needs managing substantial tapped density information. Taguchi method was integrated into the objective function of a simplex algorithm. The tapped density parameters were optimized at the lowest parametric values and the constraints were formulated. It was revealed that for the 0.425mm orange peel particulates, the optimal values and volumetric values were lower by 0.09% and lower by 4.06%, respectively. For the 0.600mm, the optimal values and volumetric values were higher by 0.005% and 6.91%, respectively, when the current method was compared with the literature values from the grey relational analysis. The results at optimality support the effectiveness of the method and were validated by the grey relational analysis results from the literature. The utility of our research is to help green filler powder manufacturers assure cost-effective decisions and logistics delivery optimization.