Results 171 to 180 of about 20,107 (303)

Modelling and passive correction investigation of vibration induced machining errors on CNC machine tools

Machine tool vibration is a complex subject requiring a multi-disciplinary approach involving the identification and analysis of the vibration sources and characteristics, as well as its direct and indirect effects. Machine tool vibration is influenced
Widiyarto, Muhammad Helmi Nur
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Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Xue model exploration for oxytactic microbes in radiative MHD hybrid nanoliquid using machine learning technique. [PDF]

Discov Nano
Shaaban SM, Abidi A, Alalayah KM, Abduvalieva D, Abdulhamid GH, Yildirim Y, Ghazi HM.   +6 more
europepmc   +1 more source

New optical sensing system applied to taut wire based straightness measurement

In modern manufacturing industry, precision components are typically produced on Computer Numerical Controlled (CNC) machine tools which translate their accuracy onto machined parts. This accuracy is affected by a set of different motion errors caused by
Borisov, Oleg
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3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

A Novel Prediction-Optimization Machine Learning Framework for Nanofluid-Based Photovoltaic/Thermal Systems. [PDF]

Nanomaterials (Basel)
Li C, Huang Y, Zhang Z, Zhou Y, Geng R, Wang C, Ma L.   +6 more
europepmc   +1 more source

Thermal Error Analysis And Optimal Partition Method based Error Modeling For A Machine Tool

, 2009
Conference Name:International Conference on Measuring Technology and Mechatronics Automation. Conference Address: Zhangjiajie, PEOPLES R CHINA. Time:APR 11-12, 2009.Thermally induced errors have been significant factors affecting machine tool accuracy ...
Guo, Yinbiao, 朱睿, 郭隐彪, Zhu, Yonglu, Zhu, Rui, Dai, Shijie   +5 more
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TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Data-driven modeling for bond strength in reinforced concrete structures. [PDF]

Sci Rep
Singh P, Singla S, Bansal A, Kumar M, Mrinali A, Hasnain SMM.   +5 more
europepmc   +1 more source

Parameter identification and hybrid mathematical modelling techniques applied to non-linear control systems

The study is concerned with the mathematical modelling and parameter identification of nonlinear motion control systems. The control systems under review are the axis motion control systems for a 3-axis CNC machine tool.
Pislaru, Crinela
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