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<p>This research article focuses on evaluating the tensile-tensile fatigue testing of carbon fiber-nylon specimens, fabricated according to the guidelines of the ASTM D7791-17 standard at key factors, such as layer height, printing speed, and acceleration using the Delta Wasp 2040 Industrial X, a fused deposition modeling 3D printer. A central composite design approach is utilized to design experiments in design expert software. The TTFT tests were conducted using the Nano-Plug and Play machine by BISS, revealing that the maximum fatigue strength achieved was 12 MPa. An artificial neural fuzzy inference system was used for training and validation to optimize the fatigue strength of CF-Nylon composites. Additionally, the genetic algorithm-ANFIS hybrid model further enhanced the fatigue strength, achieving a maximum value of 14.5143 MPa at a layer height of 0.24 mm, printing speed of 89.57 mm/s, and acceleration of 2128.24 mm/s<sup>2</sup> printing conditions, which was subsequently validated through experimental testing.</p>

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Enhancing tensile-tensile fatigue performance of fdm-fabricated carbon fiber-nylon composites using GA-ANFIS optimization

  • 期刊论文

  • 发表日期：

    2025年9月4日

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  • Akash Ahlawat,
  • Ashish Phogat,
  • Rajan Narang,
  • Ravinder Kumar Sahdev,
  • Sandeep Rathee,
  • Deepak Chhabra

摘要

This research article focuses on evaluating the tensile-tensile fatigue testing of carbon fiber-nylon specimens, fabricated according to the guidelines of the ASTM D7791-17 standard at key factors, such as layer height, printing speed, and acceleration using the Delta Wasp 2040 Industrial X, a fused deposition modeling 3D printer. A central composite design approach is utilized to design experiments in design expert software. The TTFT tests were conducted using the Nano-Plug and Play machine by BISS, revealing that the maximum fatigue strength achieved was 12 MPa. An artificial neural fuzzy inference system was used for training and validation to optimize the fatigue strength of CF-Nylon composites. Additionally, the genetic algorithm-ANFIS hybrid model further enhanced the fatigue strength, achieving a maximum value of 14.5143 MPa at a layer height of 0.24 mm, printing speed of 89.57 mm/s, and acceleration of 2128.24 mm/s2 printing conditions, which was subsequently validated through experimental testing.