The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Experimental Investigation and Sustainability Assessment in Turning of Newly Developed AMMC (Al–Mg–Si–Cu–SiC) Using Coated Carbide Tool Under Minimum Quantity Lubrication
Elun Sekhar Barik, Pankaj Charan Jena, Rajesh Kumar Behera, Sunita Sethy and Sudhansu Ranjan Das Arabian Journal for Science and Engineering 50(22) 18777 (2025) https://doi.org/10.1007/s13369-024-09957-9
Deep learning-based in-situ monitoring of cutting forces in ultra-precision diamond turning
Zhenhua Zha, Pan Guo, Tongke Liu, Zengwen Dong and Zhiwen Xiong Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering (2025) https://doi.org/10.1177/09544089251318954
Surface roughness identification in turning using motor current signals and optimized envelope spectrum features
Surface roughness and tool wear monitoring in turning processes through vibration analysis using PSD and GRMS
Roumaissa Bouchama, Mohamed Lamine Bouhalais and Abdelhakim Cherfia The International Journal of Advanced Manufacturing Technology 130(7-8) 3537 (2024) https://doi.org/10.1007/s00170-023-12742-x
On-line surface roughness classification for multiple CNC milling conditions based on transfer learning and neural network
Turning SKD 11 Hardened Steel: An Experimental Study of Surface Roughness and Material Removal Rate Using Taguchi Method
Shah Ashiquzzaman Nipu, Rezaul Karim, Aquib Rahman, Mahjabin Moon, I. A. Choudhury, Junayed Bin Omar, Marsia Sultana Khushbu and Tomasz Trzepieciński Advances in Materials Science and Engineering 2023 1 (2023) https://doi.org/10.1155/2023/6421918
Turning of hardened AISI H13 steel with recently developed S3P-AlTiSiN coated carbide tool using MWCNT mixed nanofluid under minimum quantity lubrication
Sitesh Mahapatra, Anshuman Das, Pankaj Charan Jena and Sudhansu Ranjan Das Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 237(4) 843 (2023) https://doi.org/10.1177/09544062221126357
Effect of loading rate on the failure of BFRP-Aluminum alloy single lap joints after hygrothermal aging
Improved Estimation of End-Milling Parameters from Acoustic Emission Signals Using a Microphone Array Assisted by AI Modelling
Andrés Sio-Sever, Juan Manuel Lopez, César Asensio-Rivera, Antonio Vizan-Idoipe and Guillermo de Arcas Sensors 22(10) 3807 (2022) https://doi.org/10.3390/s22103807
Automatic recognition method of installation errors of metallurgical machinery parts based on neural network
An Experimental Investigation to Augment the Machinability Characteristics During Dry Turning of Ti-6Al-4V Alloy
Samarjit Swain, Isham Panigrahi, Ashok Kumar Sahoo, Amlana Panda and Ramanuj Kumar Arabian Journal for Science and Engineering 47(7) 8105 (2022) https://doi.org/10.1007/s13369-021-06099-0
The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)
Mehmet Ali Guvenc, Hasan Huseyin Bilgic, Mustafa Cakir and Selcuk Mistikoglu Journal of the Brazilian Society of Mechanical Sciences and Engineering 44(10) (2022) https://doi.org/10.1007/s40430-022-03798-z
A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials
Anton Panda, Volodymyr Nahornyi, Jan Valíček, et al. The International Journal of Advanced Manufacturing Technology 123(9-10) 3599 (2022) https://doi.org/10.1007/s00170-022-10391-0
Online Surface Roughness Prediction for Assembly Interfaces of Vertical Tail Integrating Tool Wear under Variable Cutting Parameters