Robotic grinding of complex components: a step towards efficient and intelligent machining–challenges, solutions, and applications

D Zhu, X Feng, X Xu, Z Yang, W Li, S Yan… - Robotics and Computer …, 2020 - Elsevier
Robotic grinding is considered as an alternative towards the efficient and intelligent
machining of complex components by virtue of its flexibility, intelligence and cost efficiency …

The role of machine learning in tribology: A systematic review

UMR Paturi, ST Palakurthy, NS Reddy - Archives of Computational …, 2023 - Springer
The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …

A review of surface quality control technology for robotic abrasive belt grinding of aero-engine blades

B Zhang, S Wu, D Wang, S Yang, F Jiang, C Li - Measurement, 2023 - Elsevier
Higher requirements are being imposed on blade surface quality due to the continuous
improvement of thrust-to-weight ratio and endurance in advanced aero-engines. Robot …

Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

V Pandiyan, S Shevchik, K Wasmer, S Castagne… - Journal of Manufacturing …, 2020 - Elsevier
Abrasive finishing processes such as grinding, lapping or disc polishing are one of the most
practical means for processing materials to manufacture products with fine surface finish …

Sound singularity analysis for milling tool condition monitoring towards sustainable manufacturing

K Guo, J Sun - Mechanical Systems and Signal Processing, 2021 - Elsevier
Manufacturing plays an important role since they are among the largest energy consumers
in modern societies. With the enhancement of environmental protection and a severe …

Material removal mechanism and corresponding models in the grinding process: A critical review

C Wei, C He, G Chen, Y Sun, C Ren - Journal of Manufacturing Processes, 2023 - Elsevier
Grinding is a key technology for difficult-to-machine materials, eg, super alloys, ceramics,
and composites. The material removal behavior is dependent on almost all grinding …

Efficiency of vibration signal feature extraction for surface finish monitoring in CNC machining

EG Plaza, PJN López, EMB González - Journal of Manufacturing Processes, 2019 - Elsevier
On-line monitoring technologies in CNC machining operations eliminate post-process
quality control, and are crucial for improving productivity and reliability, reducing production …

A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of Inconel 718

K Gao, H Chen, X Zhang, XK Ren, J Chen… - The International Journal …, 2019 - Springer
High-performance component manufacturing has increasing needs of robotic grinding
process that can achieve accurate material removal. This article proposes a novel material …

Deep convolutional neural network-based in-process tool condition monitoring in abrasive belt grinding

C Cheng, J Li, Y Liu, M Nie, W Wang - Computers in Industry, 2019 - Elsevier
Abrasive belt grinding has attracted attention in recent years in both industry and academia
due to the rapid development of abrasive belts. In-process tool condition monitoring in …

Vision and sound fusion-based material removal rate monitoring for abrasive belt grinding using improved LightGBM algorithm

N Wang, G Zhang, L Ren, W Pang, Y Wang - Journal of Manufacturing …, 2021 - Elsevier
Accurate material removal modeling is the basis for optimizing the surface quality and
improving the performance of equipment components. In this study, a multi-sensor fusion …