利用田口方法和图像处理测量表面粗糙度,在粘合剂喷射中有效使用自适应切片技术

Hasan Baş, Fatih Yapıcı, Erhan Ergün
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摘要

目的由于增材制造具有许多优点,例如能够生产传统方法无法生产的复杂零件、使用更少的材料、现场生产简化供应链、能够使用各种材料进行生产以及生产更轻的零件,因此在许多工业分支中的使用正在大幅增加。粘合剂喷射技术是本次研究的增材制造方法之一,根据许多经济报告预测,它将是未来十年增长最快的增材制造方法。虽然增材制造方法有很多优点,但在生产速度方面可能比传统制造方法慢。因此,本研究旨在提高粘合剂喷射方法的生产速度。设计/方法/途径采用自适应切片和可变粘合剂量算法(VBAA)来提高粘合剂喷射的生产速度。田口方法用于优化 VBAA 中的层厚度和饱和比。根据田口实验设计,在九种不同条件下生产了 27 个样品,每个样品重复三次。测量了原始样品的宽度。烧结后,进行了表面粗糙度和密度测试。因此,所使用的方法已被证明是成功的。此外,还研究了利用图像处理进行测量的可能性,以使表面粗糙度测量更方便、更经济。试验结果根据试验结果,确定最佳印刷条件为层厚 180-250 微米,饱和度 50%。然后设计了一个单独的测试样品来实施自适应切片。该测试样品分为三块:自适应(180-250 微米)、薄层(180 微米)和厚层(250 微米),参数已确定。自适应切片样品和薄层样品的粗糙度值相近,且优于厚层样品。与薄层样品相比,自适应样品的层数减少了 12.31%,也获得了类似的结果。这样,自适应切片技术在粘合剂喷射中的应用将更加广泛。此外,还开发了一种廉价、简单的图像处理方法,用于计算零件的表面粗糙度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective use of adaptive slicing in binder jetting using Taguchi method and surface roughness measurement with image processing
Purpose The use of additive manufacturing in many branches of industry is increasing significantly because of its many advantages, such as being able to produce complex parts that cannot be produced by classical methods, using fewer materials, easing the supply chain with on-site production, being able to produce with all kinds of materials and producing lighter parts. The binder jetting technique, one of the additive manufacturing methods researched within the scope of this work, is predicted to be the additive manufacturing method that will grow the most in the next decade, according to many economic reports. Although additive manufacturing methods have many advantages, they can be slower than classical manufacturing methods regarding production speed. For this reason, this study aims to increase the manufacturing speed in the binder jetting method. Design/methodology/approach Adaptive slicing and variable binder amount algorithm (VBAA) were used to increase manufacturing speed in binder jetting. Taguchi method was used to optimize the layer thickness and saturation ratio in VBAA. According to the Taguchi experimental design, 27 samples were produced in nine different conditions, three replicates each. The width of the samples in their raw form was measured. Afterward, the samples were sintered at 1,500 °C for 2 h. After sintering, surface roughness and density tests were performed. Therefore, the methods used have been proven to be successful. In addition, measurement possibilities with image processing were investigated to make surface roughness measurements more accessible and more economical. Findings As a result of the tests, the optimum printing condition was decided to be 180–250 µm for layer thickness and 50% for saturation. A separate test sample was then designed to implement adaptive slicing. This test sample was produced in three pieces: adaptive (180–250 µm), thin layer (180 µm) and thick layer (250 µm) with the determined parameters. The roughness values of the adaptive sliced sample and the thin layer sample were similar and better than the thick layer sample. A similar result was obtained using 12.31% fewer layers in the adaptive sample than in the thin layer sample. Originality/value The use of adaptive slicing in binder jetting has become more efficient. In this way, it will increase the use of adaptive slicing in binder jetting. In addition, a cheap and straightforward image processing method has been developed to calculate the surface roughness of the parts.
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