Towards advanced prediction and control of machining distortion: a comprehensive review

M Aurrekoetxea, I Llanos, O Zelaieta… - … International Journal of …, 2022 - Springer
Machining precision components involves challenging distortion issues that entail high costs
and material and energy waste to the industry. In parallel, advanced control of production …

Measurement and prediction of cutting temperatures during dry milling: review and discussions

NL Bhirud, RR Gawande - Journal of the Brazilian Society of Mechanical …, 2017 - Springer
Higher rate of production and better surface quality are major driving forces for modern
machining systems. Higher cutting speeds can be used to achieve higher production rates …

On the use of back propagation and radial basis function neural networks in surface roughness prediction

AP Markopoulos, S Georgiopoulos… - Journal of Industrial …, 2016 - Springer
Various artificial neural networks types are examined and compared for the prediction of
surface roughness in manufacturing technology. The aim of the study is to evaluate different …

Modeling of chip–tool interface temperature using response surface methodology and artificial neural network in HPC-assisted turning and tool life investigation

M Kamruzzaman, SS Rahman, MZI Ashraf… - The International Journal …, 2017 - Springer
This study focuses on chip–tool interface temperature modeling of C-60, 17CrNiMo4, and
42CrMo4 steel alloys in dry-cut and high-pressure coolant (HPC)-assisted turning at various …

Cutting temperature and surface roughness optimization in cnc end milling using multi objective genetic algorithm

MHF Al Hazza, EYT Adesta… - 2012 International …, 2012 - ieeexplore.ieee.org
Machining of hard materials at high cutting speeds produces high temperatures in the
cutting zone, which affects the surface quality. Thus, developing a model for estimating the …

[PDF][PDF] Modelling of drill bit temperature and cutting force in drilling process using artificial neural networks

R ÇAKIROĞLU, S YAĞMUR, A Acir… - Journal of Polytechnic, 2017 - academia.edu
This study applied artificial neural networks (ANN) to estimate the drill bit temperature and
cutting force in drilling process using Firex® coated carbide and uncoated drills. Also, the …

[PDF][PDF] Prediction of cutting zone temperature in high-pressure assisted turning using GA and PSO based ANN

D Cica, B Sredanovic, D Kramar - Journal of Production Engineering, 2014 - academia.edu
Control of cutting zone temperature is of great importance during machining process
because it affects tool life and surface quality. The objective of this study is development of a …

Establishment of the optimal predictive model of die steel SKD 11 micromilling via nanofluid (graphene)/ultrasonic atomizing minimum quantity lubrication

WT Huang, LY Chen - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
This study is mainly utilized nanofluid (graphene) and ultrasonic atomization system to
process SKD11 mold steel in micromilling to improve the quality of processed products, find …

Statistical analysis chip thickness in high-speed end milling using simulation approach

MHF Al Hazza, NA Endut, MY Ali… - AIP Conference …, 2023 - pubs.aip.org
High-speed machining is an advanced machining process that is used widely for larger
productivity. One of the tangible outputs of machining is the chip thickness. Analyzing the …

[PDF][PDF] Surface roughness prediction during grinding: A comparison of ANN and RBFNN models

NE Karkalos, AP Markopoulos - WSEAS Transactions on System and …, 2016 - academia.edu
Grinding is one of the most widely employed manufacturing processes when accurate
finishing of workpieces is required. In order to investigate the effect of processing …