Scholarlink

This paper presents a statistical design method that provides a better optimization for design parameter values of a square micro coil. Computer Simulation Technology (CST) software is used in this study to build and simulate the micro coil structure. The influence of a square micro coil’s geometrical parameters namely, its outer diameter, frequency response, and quality factor on the intended output was examined using the statistical two-level factorial technique. From the study, the number of turns of the micro coil is the dominating factor for all targeted output. The results showed that the coil width of 31 μm, gap of 50 μm, thickness of 30 μm, number of turns of 33, and inner diameter of 1294 μm are most preferable to optimize the targeted output. The prediction of multi-response using optimized values gives a quality factor, frequency response, and outer diameter of 68.69, 57.59–64.14 MHz, and 5999 μm, respectively. The two-level factorial technique was able to predict the optimum micro coil parameters with minimal error, demonstrated by the difference between the verified value and the anticipated value being within the range of 1.16–8.56%. The optimization results showed that the predicted geometrical parameters can be employed to achieve the target specifications for pressure monitoring application.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Geometrical Parameters Optimization of a Square Micro Coil Using a Two-Level Factorial Technique

  • 章节

  • 发表日期：

    2026年

查看全文
  • Norliana Yusof,
  • Noor Hidayah Mohd Yunus,
  • Badariah Bais,
  • Siti Amalina Enche Ab Rahim,
  • Tuan Norjihan Tuan Yaakub,
  • Mohamad Nur Fuadi Pargi

摘要

This paper presents a statistical design method that provides a better optimization for design parameter values of a square micro coil. Computer Simulation Technology (CST) software is used in this study to build and simulate the micro coil structure. The influence of a square micro coil’s geometrical parameters namely, its outer diameter, frequency response, and quality factor on the intended output was examined using the statistical two-level factorial technique. From the study, the number of turns of the micro coil is the dominating factor for all targeted output. The results showed that the coil width of 31 μm, gap of 50 μm, thickness of 30 μm, number of turns of 33, and inner diameter of 1294 μm are most preferable to optimize the targeted output. The prediction of multi-response using optimized values gives a quality factor, frequency response, and outer diameter of 68.69, 57.59–64.14 MHz, and 5999 μm, respectively. The two-level factorial technique was able to predict the optimum micro coil parameters with minimal error, demonstrated by the difference between the verified value and the anticipated value being within the range of 1.16–8.56%. The optimization results showed that the predicted geometrical parameters can be employed to achieve the target specifications for pressure monitoring application.