Optimization of bar soap extrusion process parameters through numerical modelling

Mechanical soap plodders refine, homogenize, and compact soap. Processing pressure, screen mesh size, and L/D affect plodder capacity and soap quality. Grittiness, air bubbles, and poor surface finish hinder soap production. This study optimised soap plodder machine screw length, speed, and density...

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Main Authors: Maina Amos, Tanui Josephat K., Bayode Abiodun, Mwema F.M.
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/35/e3sconf_icarae2023_03014.pdf
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author Maina Amos
Tanui Josephat K.
Bayode Abiodun
Mwema F.M.
author_facet Maina Amos
Tanui Josephat K.
Bayode Abiodun
Mwema F.M.
author_sort Maina Amos
collection DOAJ
description Mechanical soap plodders refine, homogenize, and compact soap. Processing pressure, screen mesh size, and L/D affect plodder capacity and soap quality. Grittiness, air bubbles, and poor surface finish hinder soap production. This study optimised soap plodder machine screw length, speed, and density to maximise pressure at low-temperature. Soap plodder FEM was made with ANSYS Polyflow software. The rheological and thermal properties of soap paste were measured with a rotational viscometer and transient hot wire. Viscosity, thermal conductivity, and heat capacity were 900 cps, 0.0449 W/m-K, and 17.29 J/Kg-K. A L9 Taguchi DOE was used for three screw speeds (20, 35, and 50 RPM), screw lengths (300, 550, and 800 mm), and soap product densities in FEM simulation. ANOVA and Taguchi optimization modelling were adopted for analysis. The ANOVA showed a positive correlation between extrudate pressure, screw length, speed, and density. Temperature was mostly density-dependent. Ideal conditions were 800 mm screw length, 50 RPM screw speed, and 900 kg/m3 material density. Response pressure was 4.3604 bar, temperature 315 K. The observed responses would optimize soap plodder pressure, improving refining, homogenization, and soap processing with small mesh screens. The low temperature eliminates the need for a cooling jacket, reducing construction and operating costs
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spelling doaj.art-40024f04307e4161bbc110f5b452fa372024-03-29T08:30:16ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015050301410.1051/e3sconf/202450503014e3sconf_icarae2023_03014Optimization of bar soap extrusion process parameters through numerical modellingMaina Amos0Tanui Josephat K.1Bayode Abiodun2Mwema F.M.3Depertment of Mechanical Engineering Dedan Kimathi University of TechnologyDepertment of Mechanical Engineering Dedan Kimathi University of TechnologySchool of Mechanical and Nuclear Engineering, North-West UniversityDepertment of Mechanical Engineering Dedan Kimathi University of TechnologyMechanical soap plodders refine, homogenize, and compact soap. Processing pressure, screen mesh size, and L/D affect plodder capacity and soap quality. Grittiness, air bubbles, and poor surface finish hinder soap production. This study optimised soap plodder machine screw length, speed, and density to maximise pressure at low-temperature. Soap plodder FEM was made with ANSYS Polyflow software. The rheological and thermal properties of soap paste were measured with a rotational viscometer and transient hot wire. Viscosity, thermal conductivity, and heat capacity were 900 cps, 0.0449 W/m-K, and 17.29 J/Kg-K. A L9 Taguchi DOE was used for three screw speeds (20, 35, and 50 RPM), screw lengths (300, 550, and 800 mm), and soap product densities in FEM simulation. ANOVA and Taguchi optimization modelling were adopted for analysis. The ANOVA showed a positive correlation between extrudate pressure, screw length, speed, and density. Temperature was mostly density-dependent. Ideal conditions were 800 mm screw length, 50 RPM screw speed, and 900 kg/m3 material density. Response pressure was 4.3604 bar, temperature 315 K. The observed responses would optimize soap plodder pressure, improving refining, homogenization, and soap processing with small mesh screens. The low temperature eliminates the need for a cooling jacket, reducing construction and operating costshttps://www.e3s-conferences.org/articles/e3sconf/pdf/2024/35/e3sconf_icarae2023_03014.pdfwaste cooking oiloptimizationansys polyflownumerical simulationsoap plodder
spellingShingle Maina Amos
Tanui Josephat K.
Bayode Abiodun
Mwema F.M.
Optimization of bar soap extrusion process parameters through numerical modelling
E3S Web of Conferences
waste cooking oil
optimization
ansys polyflow
numerical simulation
soap plodder
title Optimization of bar soap extrusion process parameters through numerical modelling
title_full Optimization of bar soap extrusion process parameters through numerical modelling
title_fullStr Optimization of bar soap extrusion process parameters through numerical modelling
title_full_unstemmed Optimization of bar soap extrusion process parameters through numerical modelling
title_short Optimization of bar soap extrusion process parameters through numerical modelling
title_sort optimization of bar soap extrusion process parameters through numerical modelling
topic waste cooking oil
optimization
ansys polyflow
numerical simulation
soap plodder
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/35/e3sconf_icarae2023_03014.pdf
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AT tanuijosephatk optimizationofbarsoapextrusionprocessparametersthroughnumericalmodelling
AT bayodeabiodun optimizationofbarsoapextrusionprocessparametersthroughnumericalmodelling
AT mwemafm optimizationofbarsoapextrusionprocessparametersthroughnumericalmodelling