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<p>The research extensively examines mechanical testing and optimization of basalt fiber-reinforced nylon (BF-nylon) materials. All samples were produced by FFF 3D printer, specifically the Delta Wasp company’s model 2040 industrial X. Crucial mechanical evaluations such as compression testing, tensile testing, Izod impact testing and wear resistance analysis were performed to analyze the composite’s stiffness, strength, toughness and wear resistance. Minimal wear rate were 0.0293&#xa0;mm³ m⁻¹, while highest compression, impact and tensile resistance strengths reached were 48.2&#xa0;MPa, 58.4&#xa0;MPa, and 40.79&#xa0;J m⁻¹, respectively, in accordance with the major process parameters outlined in experimental matrix. Data obtained at experimental evaluation was employed to evaluate and train ANN model. The efficiency of BF-nylon were enhanced through (MOGA) multi-objective optimization employing a genetic algorithm. The impact resistance, wear rate, compression strength, and tensile strength, of 0.016275777&#xa0;mm³/m, 33.11&#xa0;J/m, 56.70&#xa0;MPa, and 47.40&#xa0;MPa, have been attained at layer height 335&#xa0;mm, infill density 90%, and ‘a’ orientation, according to hybrid heuristic tool.</p>

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Multi-objective optimization of mechanical and wear performance of basalt fiber-reinforced nylon composites fabricated by FFF using ANN–MOGA hybrid approach

  • 期刊论文

  • 发表日期：

    2026年4月27日

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  • R. Deepalakshmi,
  • J. Jeyshri,
  • Karthikeyan KMB,
  • L. R. Sujithra,
  • Sowmya Gali,
  • M. Lakshmi Priya

摘要

The research extensively examines mechanical testing and optimization of basalt fiber-reinforced nylon (BF-nylon) materials. All samples were produced by FFF 3D printer, specifically the Delta Wasp company’s model 2040 industrial X. Crucial mechanical evaluations such as compression testing, tensile testing, Izod impact testing and wear resistance analysis were performed to analyze the composite’s stiffness, strength, toughness and wear resistance. Minimal wear rate were 0.0293 mm³ m⁻¹, while highest compression, impact and tensile resistance strengths reached were 48.2 MPa, 58.4 MPa, and 40.79 J m⁻¹, respectively, in accordance with the major process parameters outlined in experimental matrix. Data obtained at experimental evaluation was employed to evaluate and train ANN model. The efficiency of BF-nylon were enhanced through (MOGA) multi-objective optimization employing a genetic algorithm. The impact resistance, wear rate, compression strength, and tensile strength, of 0.016275777 mm³/m, 33.11 J/m, 56.70 MPa, and 47.40 MPa, have been attained at layer height 335 mm, infill density 90%, and ‘a’ orientation, according to hybrid heuristic tool.