3D Printing and Additive Manufacturing最新文献_第9页

Wear and Thermal Behavior of TiAlN Thin Films onto Ti6Al4V Alloy Manufactured by Selective Laser Melting Method. 选择性激光熔融法制造的 Ti6Al4V 合金上 TiAlN 薄膜的磨损和热行为。

IF 2.3 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-08-01 Epub Date: 2023-08-09 DOI: 10.1089/3dp.2021.0081

Gürkan Kaya, Tevfik Oğuzhan Ergüder, İlyas Hacısalihoğlu, Emre Mandev, Eyüphan Manay, Fatih Yıldız

{"title":"Wear and Thermal Behavior of TiAlN Thin Films onto Ti6Al4V Alloy Manufactured by Selective Laser Melting Method.","authors":"Gürkan Kaya, Tevfik Oğuzhan Ergüder, İlyas Hacısalihoğlu, Emre Mandev, Eyüphan Manay, Fatih Yıldız","doi":"10.1089/3dp.2021.0081","DOIUrl":"10.1089/3dp.2021.0081","url":null,"abstract":"In this study, it was targeted to enhance the tribological and thermal properties of Ti6Al4V alloys, which were manufactured with three different build orientations and hatch spacing by using the selective laser melting (SLM) method and a traditional method (casting). In addition, the surfaces of the samples produced by these two methods were coated with the TiAlN thin film by using the cathodic arc physical vapor deposition (CAPVD) method. After the experimental investigations, the lowest wear rate was obtained for the 60-90° sample, and the highest microhardness value was measured as ∼1070 HV0.1 for the 90-45° sample. It was specified that the wear rate rose as the hatch spacing increased among the same build orientation Ti6Al4V alloys produced by SLM method. According to thermal analysis results, among the same hatch spacing values, it was determined that as the build orientation value increased, the specific heat capacity and thermal conductivity values decreased. Among the coated samples, the highest thermal conductivity and specific heat capacity values were obtained for casting samples as 5.63 (W/m·K) and 560.4 (J/kg·K), respectively.","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"10 4","pages":"650-660"},"PeriodicalIF":2.3,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440674/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10414379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rosalind Franklin Society Proudly Announces the 2022 Award Recipient for 3D Printing and Additive Manufacturing 罗莎琳德·富兰克林学会自豪地宣布2022年3D打印和增材制造奖获得者

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-07-24 DOI: 10.1089/3dp.2022.29021.rfs2022

I. Mitropoulou

引用次数: 0

Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions 平滑粗糙边缘:评估自动生成的多晶格过渡

4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-30 DOI: 10.1089/3dp.2023.0008

Martha Baldwin, Nicholas A. Meisel, Christopher McComb

{"title":"Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions","authors":"Martha Baldwin, Nicholas A. Meisel, Christopher McComb","doi":"10.1089/3dp.2023.0008","DOIUrl":"https://doi.org/10.1089/3dp.2023.0008","url":null,"abstract":"Additive manufacturing is advantageous for producing lightweight components while addressing complex design requirements. This capability has been bolstered by the introduction of unit lattice cells and the gradation of those cells. In cases where loading varies throughout a part, it may be beneficial to use multiple, distinct lattice cell types, resulting in multi-lattice structures. In such structures, abrupt transitions between unit cell topologies may cause stress concentrations, making the boundary between unit cell types a primary failure point. Thus, these regions require careful design to ensure the overall functionality of the part. Although computational design approaches have been proposed, smooth transition regions are still difficult to achieve, especially between lattices of drastically different topologies. This work demonstrates and assesses a method for using variational autoencoders to automate the creation of transitional lattice cells, examining the factors that contribute to smooth transitions. Through computational experimentation, it was found that the smoothness of transition regions was strongly predicted by how closely the endpoints were in the latent space, whereas the number of transition intervals was not a sole predictor.","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Review of In Situ Defect Detection and Monitoring Technologies in Selective Laser Melting. 选择性激光熔化中的原位缺陷检测和监控技术综述。

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 Epub Date: 2023-06-08 DOI: 10.1089/3dp.2021.0114

Xing Peng, Lingbao Kong, Huijun An, Guangxi Dong

引用次数: 0

Investigation of Obstacles with Interactive Elements on the Flow in SiC Three-Dimensional Printing. 利用互动元素研究碳化硅三维印刷中的流动障碍。

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 Epub Date: 2023-06-08 DOI: 10.1089/3dp.2021.0217

Weiwei Wu, Xu Deng, Shuang Ding, Yanjun Zhang, Dongren Liu, Jin Zhang

{"title":"Investigation of Obstacles with Interactive Elements on the Flow in SiC Three-Dimensional Printing.","authors":"Weiwei Wu, Xu Deng, Shuang Ding, Yanjun Zhang, Dongren Liu, Jin Zhang","doi":"10.1089/3dp.2021.0217","DOIUrl":"10.1089/3dp.2021.0217","url":null,"abstract":"A single screw extruder is used in this study to efficiently transport SiC slurry in direct ink writing (DIW) technology. The deposits caused by low viscosity and the agglomerations resulting from the nonuniform mixing form the obstacles in the channel, which affect the normal flow of the slurry, theoretical outlet velocity, and interaction with other printing parameters. Therefore, it is necessary to study the effect mechanism of the obstacles on the flow. The obstacles are always irregular, which makes it difficult to directly analyze them. Irregular geometries are always composed of linear and/or arcuate elements; therefore, the obstacles can be simplified into regular geometries. In the present work, interactive elements, including line-line, line-arc, arc-arc situations are analyzed. Then, an improved multiple relaxation time lattice Boltzmann method (MRT LBM) with a pseudo external force is proposed for the flow analysis. The improved MRT LBM is combined with rheological test data to investigate cases with interactive elements, and the results are applied to reveal the general mechanism. The results show that the positions are common influencing factors, which affect the streamlines, outflow directions, and outlet velocity distributions. In addition, in different situations, different factors are considered to affect SiC slurry flow. It is obvious that the existed obstacles inevitably change the theoretical flow direction and outlet velocity, which has a synergistic effect on the printing parameters. It is necessary to understand the effect mechanism of the obstacles on the flow.","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"10 3","pages":"536-551"},"PeriodicalIF":3.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9710249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross Algorithm of Additive Manufacturing Micromixers. 增材制造微混合器的交叉算法。

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 Epub Date: 2023-06-08 DOI: 10.1089/3dp.2021.0245

Wenjie Niu, Mengxue Yang, Yu Liu, Yu Gong, Ying Xu

{"title":"Cross Algorithm of Additive Manufacturing Micromixers.","authors":"Wenjie Niu, Mengxue Yang, Yu Liu, Yu Gong, Ying Xu","doi":"10.1089/3dp.2021.0245","DOIUrl":"10.1089/3dp.2021.0245","url":null,"abstract":"Additive manufacturing (AM) that is currently being used to process micromixers has many issues regarding the structural integrity of the micromixers. To solve these issues, in this article, we propose a cross-sectional contour extraction algorithm based on computed tomography (CT) scan data to nondestructively detect the size deviation of micromixers generated by AM. Herein, we take a square wave micromixer and a three-dimensional (3D) circular micromixer as examples to characterize the size deviation. We reconstruct the surface model of the micromixer from CT scan data, which is referred to as the reconstructed model, and extract the central axis of the micromixer reconstructed model. Subsequently, a dividing plane perpendicular to the central axis is established, which is then used to cut the reconstructed model to obtain the cross-sectional contour of the channel. Finally, size inspection is conducted on the extracted cross-sectional contour. The standard deviations of the channel width and height for the square wave micromixer are 0.0271 and 0.0175, respectively, and those for the 3D circular micromixer are 0.0122 and 0.0144, respectively. Through uncertainty analysis, the errors calculated based on the design size are -1.70%, +0.48%, +0.23%, -1.86%, -5.23%, and -0.90%, respectively, which shows that this method can meet the needs of measurement.","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"10 3","pages":"490-499"},"PeriodicalIF":3.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280174/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9710250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to: In Vitro Evaluation of Pore Size Graded Bone Scaffolds with Different Material Composition, by Daskalakis, et al. (DOI: 10.1089/3dp.2022.0138). 更正:不同材料组成的孔径分级骨支架的体外评估，Daskalakis等人(DOI: 10.1089/3d .2022.0138)。

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 DOI: 10.1089/3dp.2022.0138.correx

引用次数: 0

3D Printing of Copper Using Water-Based Colloids and Reductive Sintering. 使用水基胶体和还原烧结技术进行铜的 3D 打印。

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 Epub Date: 2023-06-08 DOI: 10.1089/3dp.2021.0248

Lorenzo Airoldi, Riccardo Brucculeri, Primo Baldini, Francesco Pini, Barbara Vigani, Silvia Rossi, Ferdinando Auricchio, Umberto Anselmi-Tamburini, Simone Morganti

{"title":"3D Printing of Copper Using Water-Based Colloids and Reductive Sintering.","authors":"Lorenzo Airoldi, Riccardo Brucculeri, Primo Baldini, Francesco Pini, Barbara Vigani, Silvia Rossi, Ferdinando Auricchio, Umberto Anselmi-Tamburini, Simone Morganti","doi":"10.1089/3dp.2021.0248","DOIUrl":"10.1089/3dp.2021.0248","url":null,"abstract":"Copper was manufactured by using a low-cost 3D printing device and copper oxide water-based colloids. The proposed method avoids the use of toxic volatile solvents (used in metal-based robocasting), adopting copper oxide as a precursor of copper metal due to its lower cost and higher chemical stability. The appropriate rheological properties of the colloids have been obtained through the addition of poly-ethylene oxide-co-polypropylene-co-polyethylene oxide copolymer (Pluronic P123) and poly-acrylic acid to the suspension of the oxide in water. Mixing of the components of the colloidal suspension was performed with the same syringes used for the extrusion, avoiding any material waste. The low-temperature transition of water solutions of P123 is used to facilitate the homogenization of the colloid. The copper oxide is then converted to copper metal through a reductive sintering process, performed at 1000°C for a few hours in an atmosphere of Ar-10%H2. This approach allows the obtainment of porous copper objects (up to 20%) while retaining good mechanical properties. It could be beneficial for many applications, for example current collectors in lithium batteries.","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"10 3","pages":"559-568"},"PeriodicalIF":3.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9710254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-Dimensional Printed Subsurface Defect Detection by Active Thermography Data-Processing Algorithm. 利用主动热成像数据处理算法进行三维印刷表面缺陷检测

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 Epub Date: 2023-06-08 DOI: 10.1089/3dp.2021.0172

Ézio Carvalho de Santana, Wellington Francisco da Silva, Marcella Grosso Lima, Gabriela Ribeiro Pereira, Douglas Bressan Riffel

引用次数: 0

Anomaly Detection in Fused Filament Fabrication Using Machine Learning. 利用机器学习在熔丝制造中进行异常检测。

IF 3.1 4区工程技术

3D Printing and Additive Manufacturing Pub Date : 2023-06-01 Epub Date: 2023-06-08 DOI: 10.1089/3dp.2021.0231

Guo Dong Goh, Nur Muizzu Bin Hamzah, Wai Yee Yeong

{"title":"Anomaly Detection in Fused Filament Fabrication Using Machine Learning.","authors":"Guo Dong Goh, Nur Muizzu Bin Hamzah, Wai Yee Yeong","doi":"10.1089/3dp.2021.0231","DOIUrl":"10.1089/3dp.2021.0231","url":null,"abstract":"Fused filament fabrication (FFF) has been widely used in various industries, and the adoption of technology is growing significantly. However, the FFF process has several disadvantages like inconsistent part quality and print repeatability. The occurrence of manufacturing-induced defects often leads to these shortcomings. This study aims to develop and implement an on-site monitoring system, which consists of a camera attached to the print head and the laptop that processes the video feed, for the extrusion-based 3D printers incorporating computer vision and object detection models to detect defects and make corrections in real-time. Image data from two classes of defects were collected to train the model. Various YOLO architectures were evaluated to study the ability to detect and classify printing anomalies such as under-extrusion and over-extrusion. Four of the trained models, YOLOv3 and YOLOv4 with \"Tiny\" variation, achieved a mean average precision score of >80% using the AP50 metric. Subsequently, two of the models (YOLOv3-Tiny 100 and 300 epochs) were optimized using Open Neural Network Exchange (ONNX) model conversion and ONNX Runtime to improve the inference speed. A classification accuracy rate of 89.8% and an inference speed of 70 frames per second were obtained. Before implementing the on-site monitoring system, a correction algorithm was developed to perform simple corrective actions based on defect classification. The G-codes of the corrective actions were sent to the printers during the printing process. This implementation successfully demonstrated real-time monitoring and autonomous correction during the FFF 3D printing process. This implementation will pave the way for an on-site monitoring and correction system through closed-loop feedback from other additive manufacturing (AM) processes.","PeriodicalId":54341,"journal":{"name":"3D Printing and Additive Manufacturing","volume":"10 3","pages":"428-437"},"PeriodicalIF":3.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280217/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10087896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0