[HTML][HTML] Predictive modeling of mechanical properties for fused deposition modeling parts: A focus on processing and environmental parameters

A Deka, J Hall - Manufacturing Letters, 2023 - Elsevier
Abstract Fused Deposition Modelling (FDM) is a widely used additive manufacturing
technique for prototy** and manufacturing functional parts due to its cost-effectiveness …

Applications of artificial neural networks in machining processes: a comprehensive review

S Chakraborty, S Chakraborty - International Journal on Interactive Design …, 2024 - Springer
In the present era of artificial intelligence and machine learning, artificial neural networks
(ANNs) have appeared as one of the potent tools in modeling the complex nonlinear …

[HTML][HTML] System of cutting force data acquisition in mechanical lathes

F Sineider Martins, R Reina-Muñoz, V Martins Lira - Dyna, 2018 - scielo.org.co
This report concerns a data acquisition system with the final idea of measuring the cutting
force in the threading process done on a conventional lathe. Analytical models are used to …

A Hybrid Data-Driven Methodology to Determine Additive Manufacturing Process Parameters

A Deka - 2024 - search.proquest.com
Additive manufacturing (AM) has undergone significant advancements over the years
offering advantages not found in conventional manufacturing processes. AM enables direct …

A Comparative Study on Prediction of Cutting Force using Artificial Neural Network and Genetic Algorithm during Machining of Ti-6Al-4V

R Barreto, RR Malagi, SR Chougula - Journal of Manufacturing …, 2022 - smenec.org
The purpose of this comparative study is to improve the predictive accuracy of the cutting
force during the turning of Ti-6Al-4V on a lathe machine. By optimizing the machining …