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  1. No Access

    Article

    Development of a modified dynamic flame thickened model for laminar premixed hydrogen/air flames

    This work proposes a modified dynamic flame thickened model for laminar premixed hydrogen/air flames and describes flame simulations conducted for validation. The model is implemented on the open-source OpenFO...

    Minjun Choi, Yong Jea Kim, Dong-hyuk Shin in Journal of Mechanical Science and Technology (2024)

  2. No Access

    Article

    Enhancing additive manufacturing with computer vision: a comprehensive review

    As an all-in-one process that blended design, materials, and manufacturing, additive manufacturing (AM) adopted a bottom-up stacking approach, thereby avoiding excessive infrastructure and complex production s...

    Hao-ze Yu, Wei Li, Dong Li, Li-jun Wang in The International Journal of Advanced Manu… (2024)

  3. No Access

    Article

    Numerical model of cake baking based on enthalpy–porosity method

    This study proposes a numerical model of the cake-baking process, including its heat and mass transfer processes and the phase change process of water, using the enthalpy-porosity method. The specific heat and...

    Dong Jae Lee, Gyeong Min Kim, Su Il Park in Journal of Mechanical Science and Technolo… (2024)

  4. No Access

    Article

    A simulation method for the optimization of cooling water slot structure in slab continuous casting mold combined with submerged entry nozzle

    The temperature field in the full 3D finite element mold model (FEMM) combined with submerged entry nozzle (SEN) (Full SEN-3D FEMM) is simulated by using Fluent of ANSYS 18.0 Package. The maximum heat flux on ...

    Sang Chol Om, Dong Gil Kim, Chung Il Pak in The International Journal of Advanced Manu… (2023)

  5. No Access

    Article

    Exploring the effectiveness of using a smartphone for position-oriented process monitoring

    Process monitoring is a practical approach for improving machining quality. However, expensive sensors and complex communication technologies render process-monitoring challenging. Smartphones with high-perfor...

    Kenan Deng, Dong Gao, Qinghe Guan in The International Journal of Advanced Manu… (2023)

  6. No Access

    Article

    Anomaly Detecting Geometric Transformation Network with Outlier Exposure Defect Inspection of Real Industrial Data

    Anomaly detection is one of the innovative deep learning (DL) technologies being actively applied in various industrial fields. Among them, the supervised learning approach for anomaly detection requires a lar...

    Yong-Wan Kwon, Dong-Joong Kang in International Journal of Precision Enginee… (2023)

  7. No Access

    Article

    Effect of the opening of a butterfly valve on the dynamic evolution of cavitation

    As the key control equipment for the transmission of fluid medium, processing valves are widely used in the transmission systems of fluid medium in energy, chemical industry, metallurgy and other fields, which...

    Guang Zhang, Ze Yong Wu, Ke **n Wu in Journal of Mechanical Science and Technolo… (2022)

  8. No Access

    Article

    A review of electrically assisted heat treatment and forming of aluminum alloy sheet

    High-performance heat treatable aluminum alloy sheet is widely used in aircraft and automobile industries because of its excellent mechanical properties, including low density, good corrosion resistance, and h...

    Hong-Rui Dong, **ao-Qiang Li, Yong Li in The International Journal of Advanced Manu… (2022)

  9. No Access

    Chapter

    Flexible 3D Profile Roll Forming Technology

    Nowadays, roll forming becomes one of the most promising sheet metal forming method due to its excellent superiority of capital saving and capability of lightweight, high accuracy manufacturing technique. It h...

    Yong Sun, Albert Sedlmaier, Qiuquan Guo in Flexible Metal Forming Technologies (2022)

  10. No Access

    Article

    A feasible strain-history extraction method using machine learning for the durability evaluation of automotive parts

    The feasibility of a machine-learning algorithm is discussed in terms of strain-history prediction and durability evaluation of automotive components. Additionally, an additional benefit using the machine-lear...

    Dong-Won Jang, Jong-Su Kang, Jae-Yong Lim in Journal of Mechanical Science and Technology (2021)

  11. No Access

    Article

    Wear resistance of direct-energy–deposited AISI M2 tool steel with and without post-heat treatment

    In this study, the wear resistance of AISI M2 high-speed tool steel produced using direct energy deposition (DED) was investigated in detail. Wear behavior was studied under different wear loads and sliding sp...

    Young Keun Park, Kyeongsik Ha in The International Journal of Advanced Manu… (2021)

  12. Article

    Open Access

    Novel Approach to Improve the Optical Performance by Machining Process Without Surface Finishing

    With the increase in dimensions of optical elements in addition to ever rising demand for aspherical optics, the millimeter-scale periodic waviness that is naturally produced by machining (such as diamond turn...

    June Gyu Park, Dong-Ho Lee, Hong-Seung Kim in International Journal of Precision Enginee… (2021)

  13. No Access

    Article

    Effects of detailed shape of air-shaft entrance hood on tunnel pressure waves

    Air-shaft entrance hood model with fence is investigated to reduce micro pressure wave in a single-track tunnel of the high-speed railway. Aerodynamically designed airshaft hoods are classified by 5 cases acco...

    Dong Hyeon Kim, Yong Cheol Seo, Tae Ho Kim in Journal of Mechanical Science and Technolo… (2021)

  14. No Access

    Article

    Quantitative Analysis of Carbon Emissions in Precision Turning Processes and Industrial Case Study

    With growing concerns regarding the global environment, the industrial sector has played a significant role; that is, it is responsible for consuming large amount of energy and resources, while simultaneously ...

    Zhipeng Jiang, Dong Gao, Yong Lu in International Journal of Precision Enginee… (2021)

  15. No Access

    Article

    NURBS Interpolator with Adaptive Smooth Feedrate Scheduling and Minimal Feedrate Fluctuation

    For an effective NURBS interpolator, generating the smooth feedrate profile and minimizing the feedrate fluctuation are two main tasks, which have a great influence on the machining quality. In this paper, a N...

    Tai-Yong Wang, Yong-Bin Zhang in International Journal of Precision Enginee… (2020)

  16. No Access

    Article

    Cyber Physical Energy System for Saving Energy of the Dyeing Process with Industrial Internet of Things and Manufacturing Big Data

    The manufacturing industry has recently been focusing on improving energy efficiency to reduce greenhouse gas emissions and achieve sustainable growth. The focus is on combining existing energy technologies wi...

    Kyu Tae Park, Yong Tae Kang, Suk Gon Yang in International Journal of Precision Enginee… (2020)

  17. No Access

    Article

    Automatic measurement of grinding-induced white layer in titanium alloys based on image processing technique

    Titanium alloys is a key kind of materials in both aerospace industry and biomedical engineering. However, mechanical grinding process of Ti alloys easily leads to the featureless white layer (WL) extending te...

    Yong Jie Zhao, Dong Tai Liang, Ke Chen Song in The International Journal of Advanced Manu… (2019)

  18. No Access

    Article

    Analysis of forming error during thread and spline synchronous rolling process based on motion characteristic

    The thread meshing and the spline/gear meshing are intercoupling during thread and spline synchronous rolling (TSSR) process. The subtle difference between different meshing types will lead to profile error of...

    Da-Wei Zhang, Sheng-Dun Zhao, Yong-Dong Bi in The International Journal of Advanced Manu… (2019)

  19. No Access

    Article

    Electrical energy consumption of CNC machine tools based on empirical modeling

    With the growing concerns regarding the amount of energy consumption, the manufacturing sector is considered to play a significant role because of the large amount of consumed energy in the sector. As a result...

    Zhipeng Jiang, Dong Gao, Yong Lu in The International Journal of Advanced Manu… (2019)

  20. No Access

    Chapter and Conference Paper

    A Pedestrian Crowd Classification Method Based on the AFC Data in the Urban Rail Transit

    Crowds are an important feature of high-dense Mass Rail Transit (MRT), assessing its crowding status is a critical step in crowd management. In this chapter, a pedestrian crowd classification method based on a...

    Ji-biao Zhou, Sheng Dong, Peng-fei Zhao in Green Intelligent Transportation Systems (2019)

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