Wenjie Chen

ORCID: 0000-0003-1267-4355
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Research Areas
  • Advanced Surface Polishing Techniques
  • High-Temperature Coating Behaviors
  • High Entropy Alloys Studies
  • Advanced machining processes and optimization
  • Industrial Vision Systems and Defect Detection
  • Microfluidic and Bio-sensing Technologies
  • Spinal Fractures and Fixation Techniques
  • Medical Imaging and Analysis
  • Fluid Dynamics and Thin Films
  • Spine and Intervertebral Disc Pathology
  • Acoustic Wave Resonator Technologies
  • Nanofabrication and Lithography Techniques
  • Plasmonic and Surface Plasmon Research
  • Structural Health Monitoring Techniques
  • Heat Transfer and Boiling Studies
  • Force Microscopy Techniques and Applications
  • Robot Manipulation and Learning
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Additive Manufacturing Materials and Processes
  • Graphene and Nanomaterials Applications
  • Soft Robotics and Applications
  • Advanced Data Processing Techniques
  • Aerosol Filtration and Electrostatic Precipitation
  • Thermoelastic and Magnetoelastic Phenomena
  • Stability and Controllability of Differential Equations

Sichuan University
2025

Midea Group (China)
2024

Xinjiang University
2023-2024

Anhui University
2020-2023

Shandong University of Science and Technology
2022

Anhui University of Technology
2021-2022

Lanzhou University
2022

PLA Army Engineering University
2021

Tianjin University
2019

Huashan Hospital
2015-2016

Refractory high-entropy alloys (RHEAs) have good overall properties and potential high temperature applications, but they are not competitive in terms of light weight wear corrosion resistance, which severely limits the wide range applications. In this paper, novel NbMoZrTi-X (Al, V) refractory entropy (LRHEAs) were fabricated their physical phase composition, microstructure, hardness, resistance systematically investigated. The results show that NbMoZrTi LRHEA NbMoZrTiV both single BCC...

10.1016/j.jmrt.2024.06.170 article EN cc-by-nc Journal of Materials Research and Technology 2024-06-24

10.1016/j.ijrmhm.2025.107039 article EN International Journal of Refractory Metals and Hard Materials 2025-01-05

<title>Abstract</title> Advanced high strength steels (AHSS) exhibit diverse mechanical properties due to their complex microstructures. Existing machine learning (ML) studies often focus on specific steel grades, limiting generalizability in predicting and optimizing AHSS properties. Here, an ML framework was presented predict optimize the stretch-flangeability of based microstructure-property correlations, using datasets from 212 conditions. Support vector machine, symbolic regression,...

10.21203/rs.3.rs-5516696/v1 preprint EN cc-by Research Square (Research Square) 2025-03-12

Selecting an interbody cage with appropriate height is one of the key steps in lumbar fusion, and has important impact on clinical efficacy. How to choose becomes core problems fusion for spine surgeons. However, studies about objective selection criteria was rare. One hundred fifty-seven patients single segment degenerative diseases treated by TLIF surgery from January 2011 July 2013 were retrospectively analyzed. Parameters analyzed included: gender, age, body height, diagnosis,...

10.1186/s12891-016-0866-5 article EN cc-by BMC Musculoskeletal Disorders 2016-01-12

High performance force sensors often encounter the problem of vibrations during process calibration and measurement. To address this problem, paper presents a novel passive eddy current damper (ECD) for vibration suppression. The conceived ECD utilizes eight tubular permanent magnets, arranged in Halbach array, conductive copper rod to generate damping. does not require an external power supply or any other electronic devices. In paper, accurate, analytical model calculating magnetic field...

10.1088/0022-3727/46/7/075001 article EN Journal of Physics D Applied Physics 2013-01-23

Abstract Previous research has experimentally demonstrated the feasibility of near-field acoustic levitation (NFAL) in water. This paper proposes an analytical model underwater NFAL to study its performance. At first, fluid’s compressibility must be determined because it is significant model’s accuracy. Therefore, Reynolds equations describing film pressure distribution are deduced based on fluid lubrication theory for incompressible and compressible fluids. The calculated squeeze forces...

10.35848/1347-4065/acbff3 article EN Japanese Journal of Applied Physics 2023-02-28

Nanoimprint lithography (NIL) is a novel technique that utilizes direct deformation of the resist to fabricate micro/nanometer scale patterns. NIL outperforms traditional photolithography technology for its low cost, high productivity, and repeatability. For general plate-to-plate NIL, it central importance precisely control embossing force during entire process tune orientation imprint head also guarantee uniformity fidelity. Existing approaches used in are position-based feedback controls....

10.1109/tnano.2016.2526673 article EN IEEE Transactions on Nanotechnology 2016-02-08

Air handling units (AHUs) are essential for the regulation and circulation of indoor air in modern buildings providing a comfortable environment. However, performance AHUs can be easily affected by various sensor faults during long-term operation. To precisely detect diagnose AHU faults, many researchers have applied model-based data-driven approaches based on existing centralized architectures. such methods require comprehensive knowledge physical constraints or sufficient labeled data thus...

10.1016/j.egyr.2021.11.281 article EN cc-by-nc-nd Energy Reports 2021-12-16

Objective To determine anatomic parameters related to the surgery of lumbar cortical bone trajectory normal adults and feasibility screw application in its specification dimension. Methods Lumbar 3D im-age data 80 between 18 40 years old (40 for each gender) were randomly selected as subjects our research. With help imaging software interactive viewing, ideal starting point was supposed be junction center superior articular process 1 mm below inferior border transverse process. The...

10.3760/cma.j.issn.0253-2352.2015.12.006 article EN Zhonghua guke zazhi 2015-12-01

High precision force sensors usually include flexible structures, which are prone to cause unnecessary mechanical vibrations, due their low stiffness and high sensitivity. Aimed at the adverse problem, this paper proposes a novel two-degree-of-freedom passive damping system dedicated vibration suppression of dual-axis sensor. The consists two identical eddy current dampers (ECDs), each utilizes double-layer Halbach-array permanent magnet structure middle-layer copper plate generate large...

10.1088/1361-6463/ab77a7 article EN Journal of Physics D Applied Physics 2020-02-19

This paper presents a roller-based peel-off demolding method and system for of the polydimethylsiloxane (PDMS) micro pillars with high aspect ratio (6:1). The can reduce maximum stress exerted on microstructures during step separating PDMS film from mold. Therefore yield rate be greatly increased. In this paper, process has been analyzed, major failure mode is identified as lateral collapse pillars. effects several parameters (such cycle time, sample thickness temperature) are identified. A...

10.1109/icarcv.2014.7064486 article EN 2014-12-01

Resonantly enhanced transmission through subwavelength periodic structure in metallic film has received much attention since the phenomenon of extraordinary optical (EOT) was discovered by Ebbesen 1998.A variety novel phenomena caused interaction light with film, surface plasmon polaritons (SPPs) plays a crucial role.The research work about SPP been focused on relatively thick films, while ultrathin films thickness smaller or comparable to skin depth are almost neglected.Therefore, series...

10.2991/ap3er-15.2015.39 article EN cc-by-nc Advances in engineering research/Advances in Engineering Research 2015-01-01

Data-efficient domain adaptation with only a few labelled data is desired for many robotic applications, e.g., in grasping detection, the inference skill learned from dataset not universal enough to directly apply on various other daily/industrial applications. This paper presents an approach enabling easy through novel detection network confidence-driven semi-supervised learning, where these two components deeply interact each other. The proposed specially provides prediction uncertainty...

10.48550/arxiv.2008.08817 preprint EN other-oa arXiv (Cornell University) 2020-01-01

10.1016/j.tsep.2021.101148 article EN Thermal Science and Engineering Progress 2021-11-27
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