Current status of hard turning in manufacturing: Aspects of cooling strategy and sustainability

R Mallick, R Kumar, A Panda, AK Sahoo - Lubricants, 2023 - mdpi.com
In recent years, hard turning has been found to be a well-known substitute for traditional
grinding for acquiring the finish quality of hardened steel without sacrificing productivity …

[HTML][HTML] Infrastructure monitoring and quality diagnosis in CNC machining: A review

M Ntemi, S Paraschos, A Karakostas… - CIRP Journal of …, 2022 - Elsevier
Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants

AH Elsheikh, M Abd Elaziz, SR Das… - Journal of Manufacturing …, 2021 - Elsevier
Metal cutting using flood cooling has serious impacts on the environment and operator
health. Therefore, the minimum quantity lubricant (MQL) technique has been proposed as a …

Determination of optimum machining parameters for face milling process of Ti6A14V metal matrix composite

L Das, R Nayak, KK Saxena, J Nanda, SP Jena… - Materials, 2022 - mdpi.com
This paper shows the novel approach of Taguchi-Based Grey Relational Analysis of Ti6Al4V
Machining parameter. Ti6Al4V metal matrix composite has been fabricated using the …

Optimization of surface roughness and cutting temperature in high-pressure coolant-assisted hard turning using Taguchi method

M Mia, NR Dhar - The International Journal of Advanced Manufacturing …, 2017 - Springer
In this article, the effects of material hardness and high-pressure coolant jet over dry
machining are evaluated in respect of surface roughness and cutting temperature using …

Bayesian linear regression for surface roughness prediction

D Kong, J Zhu, C Duan, L Lu, D Chen - Mechanical Systems and Signal …, 2020 - Elsevier
To improve the prediction accuracy of surface roughness in milling process, this paper
provides an unique feature extraction method and comprehensively analyzes four types of …

New insights into the methods for predicting ground surface roughness in the age of digitalisation

Y Pan, P Zhou, Y Yan, A Agrawal, Y Wang, D Guo… - Precision …, 2021 - Elsevier
Grinding is a multi-length scale material removal process that is widely employed to
machine a wide variety of materials in almost every industrial sector. Surface roughness …

Tool wear prediction in hard turning of EN8 steel using cutting force and surface roughness with artificial neural network

T SK, S Shankar, DK - Proceedings of the Institution of …, 2020 - journals.sagepub.com
In this work, the flank wear of the cutting tool is predicted using artificial neural network
based on the responses of cutting force and surface roughness. EN8 steel is chosen as a …

Prediction and optimization of sustainable fuel cells behavior using artificial intelligence algorithms

SPG Zaferani, MK Amiri, MRS Emami… - International Journal of …, 2024 - Elsevier
The model and optimization of parameters have been performed using a computer
intelligence approach in order to provide greater convenience and reduce costs. In this …

Investigation of fused filament fabrication-based manufacturing of ABS-Al composite structures: prediction by machine learning and optimization

N Ranjan, R Kumar, R Kumar, R Kaur… - Journal of Materials …, 2023 - Springer
Additive manufacturing (AM) or fused filament fabrication (FFF) are used to fabricate
innovative virgin/composite structures using thermoplastic polymers. FFF is one of the most …