... in additive manufacturing. Despite their many advantages (e.g., multifunctionality and reduced material cost), prior work in lattice support structure design primarily focuses on horizontal support domains that are not translatable to support domains for complex geometries, thereby limiting their application...

...Atharv P. Deshmankar; Jagat Sesh Challa; Amit R. Singh; Srinivasa Prakash Regalla This article provides an insightful review of the recent applications of machine learning (ML) techniques in additive manufacturing (AM) for the prediction and amelioration of mechanical properties, as well...

...Lisha White; Xuan Liang; Guanglu Zhang; Jonathan Cagan; Yongjie Jessica Zhang When designed effectively, support structures play a critical role in quickly dissipating heat and mitigate part distortion without driving up excessive costs within the additive manufacturing metals technique of Laser...

...Siqi Zhang; Hui Yang; Zhuo Yang; Yan Lu Additive manufacturing (AM) fabricates three-dimensional parts via layer-by-layer deposition and solidification of materials. Due to the complexity of this process, advanced sensing is increasingly employed to facilitate system visibility, leading to a large...

...Sean Rescsanski; Vihaan Shah; Jiong Tang; Farhad Imani Robotic additive manufacturing (RAM) offers significant improvements in maximum build volume compared to conventional bounded designs (e.g., gantry) by leveraging high degrees-of-freedom machines and multi-robot cooperation. However...

...Qihang Fang; Gang Xiong; Weixing Wang; Zhen Shen; Xisong Dong; Fei-Yue Wang Additive manufacturing (AM) is gaining prominence across numerous fields, which involves the generation of extensive data at each process stage. A relational database is a useful tool to store such AM data and streamline...

...Emmanuel Yangue; Durant Fullington; Owen Smith; Wenmeng Tian; Chenang Liu Despite the rapid adoption of deep learning models in additive manufacturing (AM), significant quality assurance challenges continue to persist. This is further emphasized by the limited availability of sample objects...

...Nicoleta A. Apetre; John G. Michopoulos; Steven N. Rodriguez; Athanasios Iliopoulos; John C. Steuben; Benjamin D. Graber; Attilio Arcari The advent of additive manufacturing (AM) has enabled the prototyping of periodic and non-periodic metamaterials (a.k.a. lattice or cellular structures...

...Zhuo Yang; Jaehyuk Kim; Yan Lu; Albert Jones; Paul Witherell; Ho Yeung; Hyunwoong Ko Metal powder bed fusion additive manufacturing (AM) processes have gained widespread adoption for the ability to produce complex geometries with high performance. However, a multitude of factors still affect...

...Fahad Ali Milaat; Joshua Lubell Manufacturing industries are increasingly adopting additive manufacturing (AM) technologies to produce functional parts in critical systems. However, the inherent complexity of both AM designs and AM processes renders them attractive targets for cyber-attacks. Risk...

...Zehao Ye; Xin Liu; Bo Peng; Chen Kan Additive manufacturing (AM) has been widely adopted to produce mechanical metamaterials for load bearing, energy absorption, and other applications in various industries such as aerospace, automotive, and healthcare. However, geometric imperfections largely...

...Ardalan R. Sofi; Bahram Ravani Physical modeling of the transient temperature during the Selective Laser Sintering (SLS) Additive Manufacturing (AM) process is essential for the characterization of the quality and structural integrity of the final products. The conventional numerical models used...

...Shaw C. Feng; Yan Lu; Albert T. Jones; Zhuo Yang Recently, the number and types of measurement devices that collect data that are used to monitor laser-based powder bed fusion of metals processes and inspect additive manufacturing metal parts have increased rapidly. Each measurement device...

...Recep M. Gorguluarslan; Gorkem Can Ates; O. Utku Gungor; Yusuf Yamaner Additive manufacturing (AM) introduces geometric uncertainties on the fabricated strut members of lattice structures. These uncertainties result in deviations between the modeled and fabricated geometries of struts. The use...

...Vivian Wen Hui Wong; Max Ferguson; Kincho H. Law; Yung-Tsun Tina Lee; Paul Witherell Additive manufacturing (AM) provides design flexibility and allows rapid fabrications of parts with complex geometries. The presence of internal defects, however, can lead to the deficit performance...

...Tesfaye Moges; Zhuo Yang; Kevontrez Jones; Shaw Feng; Paul Witherell; Yan Lu Multi-scale, multi-physics, computational models are a promising tool to provide detailed insights to understand the process–structure–property–performance relationships in additive manufacturing (AM) processes. To take...

...Zhangyue Shi; Chen Kan; Wenmeng Tian; Chenang Liu As an emerging technology, additive manufacturing (AM) is able to fabricate products with complex geometries using various materials. In particular, cyber-enabled AM systems have recently become widely applied in many real-world applications...

...Yuqing Zhou; Tsuyoshi Nomura; Kazuhiro Saitou This paper presents a multicomponent topology optimization method for designing structures assembled from additively manufactured components, considering anisotropic material behavior for each component due to its build orientation, distinct material...

...V. Akhil; G. Raghav; N. Arunachalam; D. S. Srinivas The increase in the use of metal additive manufacturing (AM) processes in major industries like aerospace, defense, and electronics indicates the need for maintaining a tight quality control. A quick, low-cost, and reliable online surface texture...

...Lin Zhu; Ruiliang Feng; Xianda Li; Juntong Xi; Xiangzhi Wei Reducing the volume of support structures is a critical means for saving materials and budgets of additive manufacturing, and tree structure is an effective topology for this purpose. Although a few articles in literature and commercial...