Xiaohong Lü

ORCID: 0000-0003-0520-3707
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About
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Research Areas
  • Advanced machining processes and optimization
  • Advanced Machining and Optimization Techniques
  • Advanced Surface Polishing Techniques
  • Advanced Welding Techniques Analysis
  • Welding Techniques and Residual Stresses
  • Manufacturing Process and Optimization
  • Aluminum Alloy Microstructure Properties
  • Additive Manufacturing Materials and Processes
  • Advanced Measurement and Metrology Techniques
  • Optical Network Technologies
  • Aluminum Alloys Composites Properties
  • Advanced Photonic Communication Systems
  • Astronomical Observations and Instrumentation
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Measurement and Detection Methods
  • Assembly Line Balancing Optimization
  • Injection Molding Process and Properties
  • Industrial Technology and Control Systems
  • Advanced Optical Network Technologies
  • Semiconductor Lasers and Optical Devices
  • Advanced Optical Sensing Technologies
  • Scheduling and Optimization Algorithms
  • Advanced Sensor and Control Systems
  • Advanced Numerical Analysis Techniques
  • Surface Roughness and Optical Measurements

Dalian University of Technology
2016-2025

State Grid Corporation of China (China)
2023

Zhejiang Sci-Tech University
2022

Dalian University
2017

Wuhan University of Technology
2009

AT&T (United States)
1994-1998

Nokia (United States)
1994-1996

10.1016/j.trc.2013.12.005 article EN Transportation Research Part C Emerging Technologies 2014-01-18

Potential intelligent lab-on-a-chip applications were explored based on the discussion of multidimensional anisotropic sliding milled dual-rail hydrophilic micro-tracks.

10.1039/c7lc00028f article EN Lab on a Chip 2017-01-01

Better surface finish is believed to be one of the most important benefits ultrasonic vibration-assisted milling. Many studies have shown that this benefit significant during slot-milling a part when vibration applied in feed direction. To explicitly explain phenomenon, an analytical model proposed predict roughness based on trajectory tool and response machined surface. The overall profile under depends tip movement, addition deformation cutting force geometry. movement governed by feed,...

10.1299/jamdsm.2020jamdsm0063 article EN Journal of Advanced Mechanical Design Systems and Manufacturing 2020-01-01

10.1007/s00170-023-11175-w article EN The International Journal of Advanced Manufacturing Technology 2023-03-06

Micro-milling forces, cutting temperature, and thermal–mechanical coupling are the key research topics about mechanism of micro-milling nickel-based superalloy Inconel 718. Most current analyses in based on finite element or experimental methods. The simulation is not conducive to revealing mechanism, while results experiments only valid for certain machine tool workpiece material. Few analytical models force temperature during process have been proposed. Therefore, authors studied coupled...

10.1177/0954405418774586 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2018-05-17

Inconel 718 is a difficult-to-machine material while products of this require good surface finish. Therefore, it essential for the evaluation and prediction roughness machined workpiece to be developed. An analytical model under laser-assisted end milling proposed based on kinematics tool movement elastic response workpiece. The actual trajectory first predicted with consideration overall movement, deformation tool, tip profile. movements include translation in feed direction rotation along...

10.1080/10910344.2019.1575407 article EN Machining Science and Technology 2019-03-28

10.1007/s40430-024-04962-3 article EN Journal of the Brazilian Society of Mechanical Sciences and Engineering 2024-05-25

<title>Abstract</title> In-situ prediction and intelligent monitoring of micro-milling tool wear remain challenging problems in technology. Digital twin technology offers a promising solution to address these issues. This study proposes digital twin-based system for wear. First, experiments were conducted, with the diameter reduction rate flank land width used as evaluation indicators. An model based on Long Short-Term Memory (LSTM) network was developed achieve high-precision forecasting...

10.21203/rs.3.rs-6287015/v1 preprint EN Research Square (Research Square) 2025-04-03

Abstract In the micro-milling process, minimization of tool chatter is critical for good surface finish quality. The analysis requires an understanding milling as well dynamics system structure. Frequency response function (FRF) at point reflects dynamic behavior whole machine–spindle–tool system. However, FRF cannot be obtained directly through hammering test. To solve problem, authors get spindle based on rotating Timoshenko beam theory and receptance coupling substructure (RCSA), bearing...

10.1115/1.4044520 article EN Journal of Manufacturing Science and Engineering 2019-09-05

10.1007/s40430-023-04254-2 article EN Journal of the Brazilian Society of Mechanical Sciences and Engineering 2023-05-24

Purpose – The paper aims to study the wear and breakage characteristics of coated carbide cutting tools through micro-milling slot experiments on superalloy Inconel 718. Design/methodology/approach During process, appearance rake face flank tools, as well failure mechanism, have been studied. Furthermore, micro-cutting compared with traditional milling Findings main forms micro tool when 718 were tip coating shed faces micro-crack blade. causes synthetic action adhesive abrasion, diffusion...

10.1108/ilt-07-2015-0114 article EN Industrial Lubrication and Tribology 2016-03-01

Instantaneous undeformed chip thickness is one of the key parameters in modeling micro-milling process. Most existing instantaneous models meso-scale cutting process are based on trochoidal trajectory edge, which neglect influences cutter installation errors, cutter-holder manufacturing radial runout spindle and so forth thickness. This article investigates tooth A prediction model edge built, with consideration effects extended length speed. Considering cutting-edge trajectory, minimum...

10.1177/0954405416639890 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2016-04-05

Purpose – The purpose of this paper is to establish a roughness prediction model micro-milling Inconel718 with high precision. Design/methodology/approach A surface established by SVM (support vector machine) in paper. Three cutting parameters are involved the (spindle speed, depth and feed speed). Experiments carried out verify accuracy model. Findings results show that built has can predict value variation law Inconel718. Practical implication strength hardness under temperature suitable...

10.1108/ilt-06-2015-0079 article EN Industrial Lubrication and Tribology 2016-03-01
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