Scholarlink

<p>This study investigates the optimization of drilling process parameters for parts fabricated using the Fused Deposition Modeling method (FDM). The primary objective is to minimize tolerance values and enhance machining precision through a hybrid approach. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) integrated with factorial design-based Goal Programming (GP) was employed to determine robust processing parameters. Experimental results indicate that optimal performance is achieved using a carbide drill bit, a feed rate of 279–316&#xa0;mm/min, and a spindle speed of 1000&#xa0;rpm under cutting fluid conditions. These findings provide actionable insights into high-precision industrial applications of additive manufacturing.</p>

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

Determination of Robust Drilling Process Parameters for Additive Manufacturing Parts Using the FDM Method

  • 期刊论文

  • 发表日期：

    2026年5月25日

查看全文
  • Ezgi Selen Zorer,
  • Emre Ayhan,
  • Mustafa Yurdakul,
  • Yusuf Tansel İç

摘要

This study investigates the optimization of drilling process parameters for parts fabricated using the Fused Deposition Modeling method (FDM). The primary objective is to minimize tolerance values and enhance machining precision through a hybrid approach. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) integrated with factorial design-based Goal Programming (GP) was employed to determine robust processing parameters. Experimental results indicate that optimal performance is achieved using a carbide drill bit, a feed rate of 279–316 mm/min, and a spindle speed of 1000 rpm under cutting fluid conditions. These findings provide actionable insights into high-precision industrial applications of additive manufacturing.