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Microstructure transformations and improving wear resistance of austenitic stainless steel additively fabricated by arc-based DED process
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作者 Ashish Yadav Manu Srivastava +1 位作者 Prashant K.Jain Sandeep Rathee 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第8期194-204,共11页
In this study, austenitic stainless steel(ASS) was additively fabricated by an arc-based direct energy deposition(DED) technique. Macrostructure, microstructure, mechanical characteristics at different spatial orienta... In this study, austenitic stainless steel(ASS) was additively fabricated by an arc-based direct energy deposition(DED) technique. Macrostructure, microstructure, mechanical characteristics at different spatial orientations(0°, 90°, and 45°), and wear characteristics were evaluated at the deposited structure top, middle, and bottom regions. Results show that austenite(γ) and delta-ferrite(δ) phases make up most of the microstructure of additively fabricated SS316LSi steel. Within γ matrix, δ phase is dispersed both(within and along) grain boundaries, exhibiting a fine vermicular morphology. The bottom, middle,and top regions of WAAM deposited ASS exhibit similar values to those of wrought SS316L in the tensile and impact test findings. Notably, a drop in hardness values is observed as build height increases. During SEM examinations of fractured surfaces from tensile specimen, closed dimples were observed, indicating good ductility of as-built structure. Wear test findings show signs of mild oxidation and usual adhesive wear. By depositing a mechanically mixed composite layer, an increase in the oxidation percentage was discovered to facilitate healing of worn surfaces. The findings of this study will help in design, production and renovation of products/components that are prone to wear. WAAM-deposited ASS has remarkable strength and ability to withstand impacts;it can be used in the production of armour plates for defence applications, mainly military vehicles and aircraft. 展开更多
关键词 Metal additive deposition Defence applications Arc-based DED Characterization Wear behaviour FRACTOGRAPHY
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Developing New Applications Based on Laser Additive Manufacturing of WC Cermets and WC Forming Alloys (Invited Paper) 被引量:3
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作者 James W.Sears 《中国激光》 EI CAS CSCD 北大核心 2009年第12期3245-3250,共6页
Laser additive manufacturing(LAM) of tungsten carbide metal matrix composites(MMCs) has been evaluated for surface modification of hot die forming tools,cutting edges,glass tooling,extrusion mandrels,and other abrasiv... Laser additive manufacturing(LAM) of tungsten carbide metal matrix composites(MMCs) has been evaluated for surface modification of hot die forming tools,cutting edges,glass tooling,extrusion mandrels,and other abrasive wear applications.This work focuses on transitions from tool steels to MMCs through a single pass laser powder deposition operation.Issues related to the application of various metal powders and carbides used include surface hardness,porosity,cracking,and dilution.These issues along with factory results that were obtained during this project are discussed. 展开更多
关键词 激光添加剂 碳化钨 工具钢 金属基复合材料
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Welding anomaly detection based on supervised learning and unsupervised learning 被引量:1
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作者 Fa Yongzhe Zhang Baoxin +4 位作者 Ya Wei Rook Remco Mahadevan Gautham Tulini Isotta Yu Xinghua 《China Welding》 CAS 2022年第3期24-29,共6页
In order to solve the problem of automatic defect detection and process control in the welding and arc additive process,the paper monitors the current,voltage,audio,and other data during the welding process and extrac... In order to solve the problem of automatic defect detection and process control in the welding and arc additive process,the paper monitors the current,voltage,audio,and other data during the welding process and extracts the minimum value,standard deviation,deviation from the voltage and current data.It extracts spectral features such as root mean square,spectral centroid,and zero-crossing rate from audio data,fuses the features extracted from multiple sensor signals,and establishes multiple machine learning supervised and unsupervised models.They are used to detect abnormalities in the welding process.The experimental results show that the established multiple machine learning models have high accuracy,among which the supervised learning model,the balanced accuracy of Ada boost is 0.957,and the unsupervised learning model Isolation Forest has a balanced accuracy of 0.909. 展开更多
关键词 welding anomaly detection machine learning unsupervised learning supervised learning
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Bone tissue engineering via growth factor delivery:from scaffolds to complex matrices 被引量:23
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作者 Tinke-Marie De Witte Lidy E.Fratila-Apachitei +1 位作者 Amir A.Zadpoor Nicholas A.Peppas 《Regenerative Biomaterials》 SCIE 2018年第4期197-211,共15页
In recent years,bone tissue engineering has emerged as a promising solution to the limitations of current gold standard treatment options for bone related-disorders such as bone grafts.Bone tissue engineering provides... In recent years,bone tissue engineering has emerged as a promising solution to the limitations of current gold standard treatment options for bone related-disorders such as bone grafts.Bone tissue engineering provides a scaffold design that mimics the extracellular matrix,providing an architecture that guides the natural bone regeneration process.During this period,a new generation of bone tissue engineering scaffolds has been designed and characterized that explores the incorporation of signaling molecules in order to enhance cell recruitment and ingress into the scaffold,as well as osteogenic differentiation and angiogenesis,each of which is crucial to successful bone regeneration.Here,we outline and critically analyze key characteristics of successful bone tissue engineering scaffolds.We also explore candidate materials used to fabricate these scaffolds.Different growth factors involved in the highly coordinated process of bone repair are discussed,and the key requirements of a growth factor delivery system are described.Finally,we concentrate on an analysis of scaffold-based growth factor delivery strategies found in the recent literature.In particular,the incorporation of two-phase systems consisting of growth factor-loaded nanoparticles embedded into scaffolds shows great promise,both by providing sustained release over a therapeutically relevant timeframe and the potential to sequentially deliver multiple growth factors. 展开更多
关键词 scaffolds bone growth tissue engineering growth factor delivery
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3D printed leech-inspired origami dry electrodes for electrophysiology sensing robots 被引量:1
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作者 Tae-Ho Kim Chao Bao +1 位作者 Ziniu Chen Woo Soo Kim 《npj Flexible Electronics》 SCIE 2022年第1期61-70,共10页
In this study,based on inspiration drawn from origami and the suction mechanism of leeches,a dry electrode is developed for reliable blood pressure(BP)monitoring.The leech-inspired suction mechanism generated a local ... In this study,based on inspiration drawn from origami and the suction mechanism of leeches,a dry electrode is developed for reliable blood pressure(BP)monitoring.The leech-inspired suction mechanism generated a local soft vacuum facilitating appropriate contact with the human skin.Subsequently,an electrocardiogram(ECG)sensor,termed a leech-inspired origami(LIO)sensor,was constructed using the developed dry electrode.The LIO with a sensing robot system ensures reliable ECG signals with a signal-to-noise ratio of 21.7±0.56 dB.From the paired detection of ECG and photoplethysmography(PPG)through human-robot interaction,BP monitoring was demonstrated.The average difference of the systolic BP between that estimated by the sensing robot and that monitored by the sphygmomanometer was 0.03 mmHg,indicating the reliable BP monitoring ability of the sensing robot.The LIO sensing system inspired by origami and leech behaviors makes BP sensing tools feasible,which in turn would further the development of a remote healthcare monitoring robotic system. 展开更多
关键词 robot app system
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3D designed battery-free wireless origami pressure sensor
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作者 Taeil Kim Amirhossein Hassanpoor Kalhori +2 位作者 Tae-Ho Kim Chao Bao Woo Soo Kim 《Microsystems & Nanoengineering》 SCIE EI CSCD 2022年第6期35-46,共12页
A pressure monitoring structure is a very useful element for a wearable device for health monitoring and sports biomechanics.While pressure sensors have been studied extensively,battery-free functions working in wirel... A pressure monitoring structure is a very useful element for a wearable device for health monitoring and sports biomechanics.While pressure sensors have been studied extensively,battery-free functions working in wireless detection have not been studied much.Here,we report a 3D-structured origami-based architecture sensor for wireless pressure monitoring.We developed an architectured platform for wireless pressure sensing through inductorcapacitor(LC)sensors and a monopole antenna.A personalized smart insole with Miura-ori origami designs has been 3D printed together with conductive 3D printed sensors seamlessly.Wireless monitoring of resonant frequency and intensity changes of LC sensors have been demonstrated to monitor foot pressure for different postures.The sensitivity of the wireless pressure sensor is tunable from 15.7 to 2.1 MHz/kPa in the pressure ranges from 0 to 9 kPa and from 10 to 40 kPa,respectively.The proposed wireless pressure-sensing platform can be utilized for various applications such as orthotics,prosthetics,and sports gear. 展开更多
关键词 BATTERY free utilized
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Wireless pressure monitoring system utilizing a 3D-printed Origami pressure sensor array
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作者 Hadi Moeinnia Danielle Jaye Agron +2 位作者 Carl Ganzert Loren Schubert Woo Soo Kim 《npj Flexible Electronics》 2024年第1期742-749,共8页
We present here a 3D-printed pressure mapping mat,equipped with customizable architecture sensors,that offers a cost-effective and adaptable solution,overcoming the size constraints and sensing accuracy issues commonl... We present here a 3D-printed pressure mapping mat,equipped with customizable architecture sensors,that offers a cost-effective and adaptable solution,overcoming the size constraints and sensing accuracy issues commonly associated with existing commercial pressure mats across various fields,such as healthcare and sports applications.Leveraging a pillar-origami structure,the demonstrated sensor offers multifaceted stiffness properties,effectively filtering skin deformations and enabling capacitive pressure sensing.Notably,the sensor’s detection range can be finely tuned,spanning from 70 to 2500 kPa,with a sensitivity range between 0.01 kPa^(−1) and 0.0002 kPa^(−1),and an impressive response time of just 800 milliseconds.Furthermore,the inclusion of a modular sensor array enhances maintenance and allows for greater flexibility in shaping and enhancing the device’s resolution.This technology finds practical applications in wireless foot pressure mapping and sports protection pads,marking a significant milestone in the advancement of flexible and custom-shaped pressure sensor technology. 展开更多
关键词 utilizing equipped SYSTEM
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