Physics-Informed Machine Learning for Accurate Prediction of Temperature and Melt Pool Dimension in Metal Additive Manufacturing [0.03%]
基于物理信息的金属增材制造温度及熔池尺寸精确预测机器学习方法研究
Feilong Jiang,Min Xia,Yaowu Hu
Feilong Jiang
The temperature distribution and melt pool size have a great influence on the microstructure and mechanical behavior of metal additive manufacturing process. The numerical method can give relatively accurate results but is time-consuming an...
A Comprehensive Review on Manufacturing and Characterization of Polyetheretherketone Polymers for Dental Implant Applications [0.03%]
牙科植入物用聚醚醚酮聚合物的制造和表征综述
Uday Kumar Reddy Kandula,Dhoodi Monika,Piyush Chandra Verma et al.
Uday Kumar Reddy Kandula et al.
Aging, tooth trauma, and pathological infections cause partial or total tooth loss, leading to the usage of dental implants for restoration treatments. As such, mechanical and tribological properties play an important role in the osseointeg...
Application of Reversible Four-Dimensional Printing of Shape Memory Alloys and Shape Memory Polymers in Structural Engineering: A State-of-the-Art Review [0.03%]
形状记忆合金和聚合物的四维可逆打印及其在结构工程中的应用：综述
S Varadharajan,Kirthanashri S Vasanthan,Prachi Agarwal
S Varadharajan
The rapid development and advancements in field of shape memory alloys (SMAA) has tremendously increased the progress in four-dimensional (4D) printing. The conventional 4D printing will require skilled manpower but utilization of reversibi...
Effect of Printing Parameters on the Surface Roughness of 3D-Printed Melt-Cast Explosive Substitutes Based on Melt Extrusion Technology [0.03%]
基于熔融挤出技术的3D打印代装药试件表面粗糙度的打印参数影响研究
Hu-Zeng Zong,Peng Zhang,Jing-Xiao Yao et al.
Hu-Zeng Zong et al.
In recent years, the application of 3D printing technology in the energetic materials field has proved its ability to innovate traditional charging methods and fabricate complex structures to improve combustion/detonation performance. The m...
Intelligent Optimization Method of Piezoelectric Ejection System Design Based on Finite Element Simulation and Neural Network [0.03%]
基于有限元仿真和神经网络的压电喷射系统智能优化设计方法
Xin Li,Yongsheng Zhao
Xin Li
This study describes an intelligent method for modeling and optimization of piezoelectric ejection system design for additive manufacturing. It is a combination of neural network (NN) techniques and finite element simulation (FES) that allo...
4D Printing Technology Based on Magnetic Intelligent Materials: Materials, Processing Processes, and Application [0.03%]
基于磁性智能材料的4d打印技术：材料、加工工艺及应用
Jingjing Lu,Hongchao Cui,Jiahao Xu et al.
Jingjing Lu et al.
4D printing technology refers to the manufacturing of products using 3D printing techniques that are capable of changing shape or structure in response to external stimuli. Compared with traditional 3D printing, the additional dimension is ...
Scalable Hierarchically Structured Materials from a Multiscale Particle System Enabled by Microscaffolds [0.03%]
基于微支架的多尺度粒子体系组装分级结构可扩展材料
Jiawei Ren,Shu Jian Chen,Yiping Qiao et al.
Jiawei Ren et al.
Structural hierarchy is the key to manufacturing multiscale particle-based composite materials. A novel manufacturing method was developed to generate scalable hierarchical structures in concrete. The new method used 3D-printed microscaffol...
Hui Dong,Tao Weng,Kexin Zheng et al.
Hui Dong et al.
Soft robots, inspired by living organisms in nature, are primarily made of soft materials, and can be used to perform delicate tasks due to their high flexibility, such as grasping and locomotion. However, it is a challenge to efficiently m...
Finite Element Simulation of Residual Stress in Laser Additive Manufactured Functionally Gradient Materials Based on Bessel Heat Source Model [0.03%]
基于贝塞尔热源模型的激光 additive manufactured 功能梯度材料残余应力有限元模拟
Zihe Liu,Changyuan Yu,Hongjian Zhao et al.
Zihe Liu et al.
Laser additive manufacturing (LAM) technology has the advantages of short manufacturing cycles, low material waste rate, and design ability. It is especially suitable for preparing functionally gradient materials (FGM). However, due to the ...
Development of 3D-Printable Albumin-Alginate Foam for Wound Dressing Applications [0.03%]
用于伤口敷料的三维打印血清白蛋白-海藻酸盐泡沫的发展
Elias Madadian,Emad Naseri,Ryan Legault et al.
Elias Madadian et al.
In this article, a method to develop 3D printable hybrid sodium alginate and albumin foam, crosslinked with calcium chloride mist is introduced. Using this method, highly porous structures are produced without the need of further postproces...