Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Multiphysics FEM-based Design and Thermo-mechanical Simulation of Domestically Used tuberous food Processing Machine

Authors: Alexis Malachy Robert and Victor David Okon;

Multiphysics FEM-based Design and Thermo-mechanical Simulation of Domestically Used tuberous food Processing Machine

Abstract

ABSTRACT Tuberous root crops such as yam, cassava, and cocoyam are vital staples in Nigeria, yet their traditional manual processing through pounding is laborious, intensive, time-consuming, and physically demanding. This study applies a Multiphysics finite element method (FEM) approach to the design and thermo-mechanical simulation of a domestically used tuberous food processing machine, with focus on optimizing its processing chamber withe critical site of thermal and structural interactions. The machine comprises a stainless-steel container with shaft–blade assembly and polyethylene insulation for heat retention. Using ANSYS, thermal analyses incorporated internal convection from food heating and external cooling, while static structural simulations evaluated von Mises stress, elastic strain, and total deformation under coupled loads. Mesh models of open and closed chamber designs were refined for accurate predictions. Findings from the study showed that bottom-heated models achieved higher base temperatures of 80.5 °C enabling rapid processing. The heat flux peaked at 0.0186 W/mm² in the localized hotspots but was reduced to 0.0030 W/mm² through design refinements, enhancing uniformity. Equivalent elastic strain, initially 0.0818 mm/mm at chamber–blade interfaces, was minimized to 0.000126 mm/mm after optimization. Similarly, von Mises stress fell from 86.9 MPa in the chamber to 24.3 MPa in blade assemblies, well below the yield strength of stainless steel. The findings demonstrate that FEM-based thermo-mechanical analysis effectively informs material selection and geometry optimization, producing safer, more durable, and energy-efficient machines. Beyond technical performance, adoption of such optimized designs can alleviate manual drudgery, improve food safety, and support food security in agrarian communities. Cite This Paper : Alexis Malachy Robert and Victor David Okon (2025). " Multiphysics FEM-based Design and Thermo-mechanical Simulation of Domestically Used tuberous food Processing Machine ". INTERNATIONAL JOURNAL OF ADVANCED SCIENTIFIC AND TECHNICAL RESEARCH (IJASTR), vol. 15, no. 5, 2025, pp. 203-217. DOI: https://dx.doi.org/10.5281/zenodo.17330588 Keywords: Tuberous food processing machine, Finite element method (FEM), Thermo- mechanical simulation, Multiphysics analysis, Design optimization

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green