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Evaluating Axial and Radial Compression-Induced Stress and Deformation in Watermelon Fruits Chibuzo Ndubuisi Okoye; Christian Ebele Chukwunyelu; John Chikaelo Okeke; Augustine Uzodinma Madumere; Chukwunonso Nnamdi chidiogo; Sunday Chimezie Anyaora
Journal Majelis Paspama Vol. 3 No. 02 (2025): Journal Majelis Paspama, 2025
Publisher : Journal Majelis Paspama

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Abstract

Understanding the mechanical behavior of biological materials such as watermelon fruits under compressive loading is essential for improving postharvest handling, packaging, and transport systems. This study utilized experimental and finite element methods to evaluate stress and deformation in watermelon fruits under axial and radial compression. Fresh, defect-free watermelons were measured and tested using a universal testing machine until failure. Mechanical properties such as modulus of elasticity, Poisson’s ratio, and bulk modulus were computed. Simulation in Autodesk® Inventor® used these parameters to model stress distribution, safety factors, and deformation under a 95 N load. The elliptical mesh model included 3529 nodes and 2264 elements. Each test was repeated thrice for accuracy. The result revealed that Axial loading showed higher modulus of elasticity (2.68 MPa), Poisson’s ratio (0.43), and bulk modulus (0.94 MPa) compared to radial loading (2.41 MPa, 0.33, and 0.91 MPa respectively). Fracture load remained consistent (95 N). Von Mises stress under axial loading peaked at (1.238 MPa) versus radial (0.02701 MPa). Safety factor under axial loading was critically low (0.14), unlike radial (5.71). Orthogonal stress components (XX, YY, ZZ) revealed greater stress concentration under axial loading (e.g., −1.02 MPa to 0.059 MPa in XX). Finite element modeling used (3529) nodes and (2264) elements for analysis. These findings reveal that axial compression presents a higher risk of structural failure in watermelons, highlighting the importance of orientation during handling and mechanical design for fruit protection.
Management of Tool Wear Mechanisms in Machining Aluminium Alloy A356/Cow Horn Particle Composite Sunday Chimezie Anyaora; Chidozie Chukwuemeka Nwobi-Okoye; Francis Chukwunonso Okeke; Onyeka Noel Anyali; Ikenna Theophilus Odoh
Journal Majelis Paspama Vol. 3 No. 02 (2025): Journal Majelis Paspama, 2025
Publisher : Journal Majelis Paspama

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Abstract

This work presents the modelling and optimization of the cutting parameters in machining operations of aluminium alloy A356/cow horn particles (CHp) composite. In order to enable manufacturers to maximize their gains from utilizing hard turning, an accurate model of the process must be constructed. In course of the work, an attempt was made to develop mathematical models for relating the Tool Wear Ratio (TWR) to machining parameters (feed rate, depth of cut and cutting speed). To achieve this, A356/cow horn particles (CHp) composite was used to investigate the tool wear using RSM with 19 runs. A design of experiment was generated using the Optimal custom design techniques in Response Surface Methodology (RSM) from the Design Expert Software 11.0. After the optimization, the results from the ANOVA tables of the tool wear, surface roughness and Material removal rate showed that some models were significant with the probability value (P-value) 0.0203, 0.0412. Tool wear ranged from 0.00011–0.00092 mg/mm, with the lowest at high feed rate (0.25 rev/mm), high cutting speed (900 RPM), and depth (1.5 mm). Feed rate (p = 0.0436), cutting speed (p = 0.0008), and depth of cut (p = 0.0137) significantly influenced tool wear. The regression model achieved strong fit (R² = 0.9952, Adj R² = 0.9714) with low error (Std. Dev. = 0.0001). Predicted versus actual plots confirmed reliability, with 95% CI (0.000196–0.000530 mg/mm) validating precision and stability. In order to enable manufacturers to maximize their gains from utilizing hard turning, an accurate model of the process have been constructed.