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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering最新文献

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Measurement of additively manufactured part dimensions using OpenCV for process monitoring 使用 OpenCV 测量快速成型部件的尺寸以进行过程监控
Pradeep Castro, Gurusamy Pathinettampadian, Sarankumar Thanigainathan, Vignesh Prabakar, Rahul Anandha Krishnan, M. Subramaniyan
Dimensional accuracies are affected due to various factors which include warping, ambient temperature, material properties, etc. In-situ process monitoring and controlling in additive manufacturing is one of the ways to reduce defects in three-dimensional (3D) printed parts through continuous monitoring and correcting the process parameters. By considering the dimensions of a printed part, the part is usually inspected after completing the printing process. In this study, a new method for determining dimensional values of fused deposition modeling printed parts during the printing process is proposed using the Open-source Computer Vision Library (OpenCV). This method of determining the dimensions of a part would be useful for a user to verify the dimensions of the part being built at various stages. This could ensure the dimensional accuracy of the part is constant throughout the printing. By adopting this method to measure the dimensions, prevents wastage of material with poor dimensional accuracy and saves time by producing only accurate parts.
影响尺寸精度的因素有很多,包括翘曲、环境温度、材料特性等。增材制造中的原位过程监控是通过持续监控和修正过程参数来减少三维(3D)打印部件缺陷的方法之一。考虑到打印部件的尺寸,通常在打印过程结束后对部件进行检测。本研究利用开源计算机视觉库(OpenCV)提出了一种在打印过程中确定熔融沉积建模打印部件尺寸值的新方法。这种确定零件尺寸的方法将有助于用户在不同阶段验证正在制造的零件的尺寸。这可以确保在整个打印过程中零件的尺寸精度保持不变。通过采用这种方法测量尺寸,可以防止因尺寸精度差而浪费材料,并通过只生产精确的零件来节省时间。
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引用次数: 0
Effect of different ceramic fillers filled with GF/PTFE on the tensile and compressive properties of the composites 填充 GF/PTFE 的不同陶瓷填料对复合材料拉伸和压缩性能的影响
Guang-hui Yang, Xin Ji
In this article, six ceramic-filled glass fiber (GF)/PTFE-based composites were fabricated using 15 wt.% mass fraction GF and 80 wt.% PTFE as matrix materials and 5 wt.% mass fraction ceramic materials such as Al2O3, MoS2, TiO2, BaSO4, hollow glass beads (HGB), and solid glass beads (SGB) as filler materials, respectively, at 44 MPa molding pressure and sintering temperature of 370°C. The tensile strength, elongation at break, and compressive strength at room temperature and 250°C were investigated for six composites. Finally, the surface morphology of the composites was characterized using the ultradeep field electron microscope. The results show that MoS2 has the best synergistic strengthening effect with GF in PTFE matrix, but the toughening effect is less obvious, so MoS2/GF/PTFE exhibits the maximum hardness (66) and tensile strength (18.16 MPa) and the minimum elongation at break (94.72%), while HGB/GF/PTFE composites exhibit the minimum hardness (61) and tensile strength (15.04 MPa) and the maximum elongation at break (360.36%). In addition, the MoS2/GF/PTFE exhibited the maximum compressive strength (9.29 MPa) at 250°C, but then the SGB/GF/PTFE composite exhibited the maximum compressive strength (24.28) at room temperature. A comprehensive analysis of the modification mechanism shows that the type, morphology, particle size, strength, and interfacial bonding with the PTFE matrix of the ceramic filler all influence the filling effect of the composite.
本文以质量分数为 15% 的玻璃纤维 (GF) 和质量分数为 80% 的聚四氟乙烯为基体材料,以质量分数为 5% 的 Al2O3、MoS2、TiO2、BaSO4、空心玻璃微珠 (HGB) 和实心玻璃微珠 (SGB) 等陶瓷材料为填充材料,在 44 MPa 成型压力和 370°C 烧结温度下制备了六种陶瓷填充玻璃纤维 (GF) / 聚四氟乙烯基复合材料。研究了六种复合材料在室温和 250°C 下的拉伸强度、断裂伸长率和压缩强度。最后,使用超深场电子显微镜对复合材料的表面形态进行了表征。结果表明,MoS2 与 GF 在 PTFE 基体中的协同增强效果最好,但增韧效果不明显,因此 MoS2/GF/PTFE 的硬度(66)和抗拉强度(18.16 兆帕)最大,断裂伸长率(94.72%)最小;而 HGB/GF/PTFE 复合材料的硬度(61)和抗拉强度(15.04 兆帕)最小,断裂伸长率(360.36%)最大。此外,MoS2/GF/PTFE 在 250°C 时表现出最大抗压强度(9.29 兆帕),但随后 SGB/GF/PTFE 复合材料在室温下表现出最大抗压强度(24.28)。对改性机理的综合分析表明,陶瓷填料的类型、形态、粒度、强度以及与聚四氟乙烯基体的界面结合力都会影响复合材料的填充效果。
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引用次数: 0
Cut surface characteristics of aluminum alloy sheet in cryogenic shearing process 铝合金板材在低温剪切过程中的切面特性
Saowalak Kongiang, Siriporn Rojananan, S. Thipprakmas
Die cutting is a well-known process of sheet metal forming for separating sheet metal into the required shape. Compared with other cutting processes such as machining, this process has the advantages of a high production rate and low production cost. Currently, as a necessary process in sheet metal manufacturing, this process has been researched to improve the efficiency of the process and quality of cut components. In this study, the application of cryogenics in the die-cutting process was investigated, and the characteristics of the cut surfaces were examined. The shearing process was investigated using a die-cutting model. An aluminum alloy grade A5083 (JIS standard) was used as the workpiece. After shearing, the physical characteristics of the cut surfaces were examined using a 3-D laser scanner. Shear forces were also reported. The grain evolution in the shearing zone was also investigated. The results revealed that compared with the shearing process at room temperature, the ratio of clean cut to workpiece thickness was slightly increased. However, they showed differences in fracture characteristics. A concave feature in the fracture zone was generated at the cryogenic temperature, particularly for small clearances. These results were clearly explained based on the initial fracture angle and its propagation, and grain evolution. Based on the changes in the material properties at cryogenic temperatures, an elongated grain structure was easily generated, resulting in a larger initial fracture compared with that of the shearing process at room temperature. This is important when using the cut component, as the strength of the cut part decreases owing to the larger concave features. In addition, it provides helpful information on cut components that may require additional operations.
模切是一种众所周知的金属板材成型工艺,用于将金属板材分离成所需形状。与机械加工等其他切割工艺相比,该工艺具有生产率高、生产成本低的优点。目前,作为钣金制造的必要工序,人们一直在研究如何提高该工序的效率和切割部件的质量。本研究调查了低温技术在模切工艺中的应用,并考察了切割表面的特性。使用模切模型对剪切过程进行了研究。工件采用 A5083 级铝合金(JIS 标准)。剪切后,使用三维激光扫描仪检测了切割表面的物理特征。同时还报告了剪切力。此外,还对剪切区的晶粒演变进行了研究。结果显示,与室温下的剪切过程相比,干净切口与工件厚度之比略有增加。然而,它们的断裂特征却有所不同。在低温条件下,尤其是在间隙较小的情况下,断裂区出现了凹陷特征。基于初始断裂角度及其扩展和晶粒演变,这些结果得到了清晰的解释。根据低温条件下材料特性的变化,很容易产生细长的晶粒结构,从而导致与室温下的剪切过程相比,初始断口更大。这在使用切割部件时非常重要,因为切割部件的强度会因较大的凹面特征而降低。此外,它还为可能需要额外操作的切割部件提供了有用的信息。
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引用次数: 0
Exploring the potential of artificial intelligence tools in enhancing the performance of an inline pipe turbine 探索人工智能工具在提高管道涡轮机性能方面的潜力
Kutay Celebioglu, Ece Aylı, Huseyin Cetinturk, Y. Taşcıoğlu, S. Aradag
In this study, investigations were conducted using computational fluid dynamics (CFD) to assess the applicability of a Francis-type water turbine within a pipe. The objective of the study is to determine the feasibility of implementing a turbine within a pipe and enhance its performance values within the operating range. The turbine within the pipe occupies significantly less space in hydroelectric power plants since a spiral casing is not used to distribute the flow to stationary vanes. Consequently, production and assembly costs can be reduced. Hence, there is a broad scope for application, particularly in small and medium-scale hydroelectric power plants. According to the results, the efficiency value increases on average by approximately 1.5% compared to conventional design, and it operates with higher efficiencies over a wider flow rate range. In the second part of the study, machine learning was employed for the efficiency prediction of an inline-type turbine. An appropriate Artificial Neural Network (ANN) architecture was initially obtained, with the Bayesian Regularization training algorithm proving to be the best approach for this type of problem. When the suitable ANN architecture was utilized, the prediction was found to be in good agreement with CFD, with an root mean squared error value of 0.194. An R2 value of 0.99631 was achieved with the appropriate ANN architecture.
本研究使用计算流体动力学(CFD)进行了调查,以评估管道内混流式水轮机的适用性。研究的目的是确定在管道内安装水轮机的可行性,并提高其在运行范围内的性能值。由于无需使用蜗壳将水流分配到固定叶片上,管内水轮机占用的水电站空间大大减少。因此,可以降低生产和装配成本。因此,应用范围非常广泛,尤其是在中小型水电站中。研究结果表明,与传统设计相比,效率值平均提高了约 1.5%,而且在更宽的流量范围内都能以更高的效率运行。研究的第二部分采用了机器学习方法来预测直列式水轮机的效率。最初,我们获得了一个合适的人工神经网络(ANN)架构,贝叶斯正则化训练算法被证明是解决此类问题的最佳方法。使用合适的人工神经网络架构后,发现预测结果与 CFD 非常吻合,均方根误差值为 0.194。采用适当的 ANN 结构后,R2 值达到 0.99631。
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引用次数: 0
Effect of process parameters on mechanical properties of PLA resin through LCD 3D printing 液晶三维打印工艺参数对聚乳酸树脂机械性能的影响
A. Riyaz Ahmed, V. Mugendiran
A widely existent method of fabricating 3D printed parts by polylactic acid (PLA) is by fused deposition modeling, which faces a poor surface finish when compared to resin-based 3D printing methods. The focus of the current work is to leverage LCD 3D printing to produce 3D printed PLA parts with improved strength and surface quality. Tensile, impact, and flexural specimens with varying layer thicknesses were printed and postcured to explore the mechanical properties. It was found that by increasing the layer thickness and minimizing the postcuring time, printed samples with maximum strength can be obtained. Further, rheological characterization was done to test whether the same resin is suitable for usage as raw material in direct ink write 3D printing and it was found that the resin with 4 wt. % and 5wt. % fumed silica were suitable for direct ink writing.
利用聚乳酸(PLA)制造三维打印部件的一种广泛存在的方法是熔融沉积建模,与基于树脂的三维打印方法相比,这种方法的表面光洁度较差。当前工作的重点是利用液晶三维打印技术制造出具有更高强度和表面质量的聚乳酸三维打印部件。我们打印了不同层厚的拉伸、冲击和弯曲试样,并进行了后固化,以探索其机械性能。结果发现,通过增加层厚度和尽量缩短后固化时间,可以获得最大强度的打印样品。此外,还进行了流变学表征,以测试相同的树脂是否适合用作直接墨水写入 3D 打印的原材料,结果发现,含有 4 重量 % 和 5 重量 % 气相二氧化硅的树脂适合直接墨水写入。
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引用次数: 0
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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
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