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Surface Roughness Prediction of Titanium Alloy during Abrasive Belt Grinding Based on an Improved Radial Basis Function (RBF) Neural Network [PDF]

open access: yesMaterials (Basel), 2023
Titanium alloys have become an indispensable material for all walks of life because of their excellent strength and corrosion resistance. However, grinding titanium alloy is exceedingly challenging due to its pronounced material characteristics ...
Shan K   +5 more
europepmc   +2 more sources

An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor [PDF]

open access: yesSensors, 2019
To improve the processing quality and efficiency of robotic belt grinding, an adaptive sliding-mode iterative constant-force control method for a 6-DOF robotic belt grinding platform is proposed based on a one-dimension force sensor. In the investigation,
Tie Zhang, Ye Yu, Yanbiao Zou
doaj   +2 more sources

On Energy Assessment of Titanium Alloys Belt Grinding Involving Abrasive Wear Effects

open access: yesChinese Journal of Mechanical Engineering, 2023
Improved energy utilisation, precision, and quality are critical in the current trend of low-carbon green manufacturing. In this study, three abrasive belts were prepared at various wear stages and characterised quantitatively.
Mingcong Li   +5 more
doaj   +2 more sources

Influence of Grinding Parameters on the Removal Depth of 42CrMo Steel and Its Prediction in Robot Electro-Hydraulic-Actuated Abrasive Belt Grinding

open access: yesJournal of Manufacturing and Materials Processing
Robotic grinding serves as a pivotal embodiment and key technological support of Industry 4.0. Elucidating the influence of robotic grinding parameters on the material removal depth (MRD) of 42CrMo steel and optimizing these parameters are critical to ...
Dequan Shi   +3 more
doaj   +2 more sources

Modeling and Experimental Verification of Time-Controlled Grinding Removal Function for Optical Components [PDF]

open access: yesMicromachines, 2023
As a flexible grinding method with high efficiency, abrasive belt grinding has been widely used in the machining of mechanical parts. However, abrasive belt grinding has not been well applied in the field of ultra-precision optical processing, due to the
Fulei Chen   +5 more
doaj   +2 more sources

Analysis of Contact Wheel and Tool Interaction in Belt Grinding

open access: yesJournal of Machine Engineering
The belt grinding process is gaining an increasing importance in the industrial sector. Due to its high flexibility regarding the range of workpiece materials and its adaptability to various, even geometrically complex workpiece shapes and designs, belt ...
Julian Wolfgang Henning   +2 more
doaj   +2 more sources

Prediction Modeling and Parameter Optimization for Robotic Belt Grinding 42CrMo Steel Using Response Surface Methodology and Grey Relational Analysis

open access: yesMetals
To address high-precision robotic abrasive belt grinding of 42CrMo steel, this study adopted the orthogonal central composite design with grinding force, feed rate, and rotational speed as key parameters, establishing and verifying regression models for ...
Dequan Shi   +4 more
doaj   +2 more sources

Numerical and experimental investigation on temperature field during belt grinding considering elastic contact

open access: yesCase Studies in Thermal Engineering, 2022
Belt grinding is an important method for precision machining of complex curved components own to its elastic contact characteristics. However, the grinding heat is easy to accumulate in workpieces and results in thermal damages when grinding narrow ...
Ying Liu   +5 more
doaj   +1 more source

Contact Mechanism of Rail Grinding with Open-Structured Abrasive Belt Based on Pressure Grinding Plate

open access: yesChinese Journal of Mechanical Engineering, 2023
The current research of abrasive belt grinding rail mainly focuses on the contact mechanism and structural design. Compared with the closed structure abrasive belt grinding, open-structured abrasive belt grinding has excellent performance in dynamic ...
Zhiwei Wu   +3 more
doaj   +1 more source

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