Susanto Benny, Rashyid Muhammad Ibnu, Tanbar Fefria, Ariyadi Hifni Mukhtar, Muflikhun Muhammad Akhsin
PLN Research Institute, Jakarta, Indonesia.
Mechanical and Industrial Engineering Department, Gadjah Mada University, Indonesia.
Data Brief. 2024 Apr 25;54:110477. doi: 10.1016/j.dib.2024.110477. eCollection 2024 Jun.
This paper introduces a comprehensive dataset focusing on the surface roughness and dimensional accuracy of 3D printed specimens derived from a hybrid manufacturing process. The design of these specimens incorporates surfaces oriented at 0˚, 45˚, and 90˚ angles for surface roughness testing, along with cylindrical, radial, and pocket areas to evaluate dimensional accuracy. Utilizing PLA material, the specimens undergo a printing phase followed by milling within the same machine, thereby enhancing both surface roughness and dimensional quality. Surface roughness data is gathered through a surface roughness tester, while dimensional accuracy is assessed using a digital vernier caliper. The dataset includes comparative analyses conducted before and after the hybrid manufacturing process, revealing notable improvements in both surface roughness and dimensional accuracy post-processing. These findings furnish valuable insights for researchers and engineers engaged in hybrid manufacturing processes involving PLA material, serving as a foundational resource for further investigations and advancements in the field.
本文介绍了一个综合数据集，该数据集聚焦于源自混合制造工艺的3D打印试样的表面粗糙度和尺寸精度。这些试样的设计包含用于表面粗糙度测试的0˚、45˚和90˚角取向的表面，以及用于评估尺寸精度的圆柱、径向和型腔区域。使用聚乳酸材料，试样先经历打印阶段，然后在同一台机器内进行铣削，从而提高表面粗糙度和尺寸质量。通过表面粗糙度测试仪收集表面粗糙度数据，而使用数字游标卡尺评估尺寸精度。该数据集包括混合制造工艺前后进行的对比分析，揭示了后处理后表面粗糙度和尺寸精度都有显著提高。这些发现为从事涉及聚乳酸材料的混合制造工艺的研究人员和工程师提供了宝贵的见解，作为该领域进一步研究和进展的基础资源。
