[HTML][HTML] Physics based models for characterization of machining performance–A critical review

H Attia, A Sadek, Y Altintas, A Matsubara… - CIRP Journal of …, 2024 - Elsevier
This paper presents a comprehensive review of the concept of machinability by considering
the dynamic, tribological, and thermo-mechanical interactions encountered at the tool-chip …

[HTML][HTML] Hybrid SPH-FEM solver for metal cutting simulations on the GPU including thermal contact modeling

N Zhang, H Klippel, M Afrasiabi, M Röthlin… - CIRP Journal of …, 2023 - Elsevier
This paper presents a hybrid Smoothed Particle Hydrodynamics (SPH)–Finite Element
Method (FEM) solver for metal cutting simulations on Graphics Processing Units (GPU). For …

Cyber–physical systems for high-performance machining of difficult to cut materials in I5. 0 era—A review

H Gohari, M Hassan, B Shi, A Sadek, H Attia… - Sensors, 2024 - search.proquest.com
The fifth Industrial revolution (I5. 0) prioritizes resilience and sustainability, integrating
cognitive cyber-physical systems and advanced technologies to enhance machining …

Modified Taylor impact tests with profiled copper cylinders: Experiment and optimization of dislocation plasticity model

ES Rodionov, VV Pogorelko, VG Lupanov, PN Mayer… - Materials, 2023 - mdpi.com
Current progress in numerical simulations and machine learning allows one to apply
complex loading conditions for the identification of parameters in plasticity models. This …

[PDF][PDF] A new environmentally friendly chemical mechanical polishing method applied for surface finishing Ti-6Al-4V alloy

NM Quang, NN Quan, NT Mai, LTP Thanh… - Journal of Machine …, 2023 - bibliotekanauki.pl
A new eco-friendly slurry has been developed for the chemical mechanical polishing
process with a solution of malic acid, deionized water, and an oxidizing agent hydrogen …

High-Performance Machining System: Process Optimization for a Cyber-Physical System–a Review

H Gohari, M Hassan, B Shi, A Sadek, H Attia… - 2024 - preprints.org
The fifth Industrial revolution (I5. 0) prioritizes resilience and sustainability, integrating
cognitive cyber-physical systems and advanced technologies to enhance machining …

iMFREE: A versatile software tool for modelling machining processes with particle methods

H Klippel, N Zhang, M Kuffa, M Afrasiabi, M Bambach… - Procedia CIRP, 2023 - Elsevier
The current state-of-the-art for the simulation of machining process is the application of the
FEM (finite element method). Nevertheless, the cost of FEM analyses for such problems is …

Prior knowledge-embedded machine learning-driven cutting force monitoring in machinery industry

Z Huang, T Xi, M Fey, C Brecher - … International Conference on …, 2022 - ieeexplore.ieee.org
Condition monitoring of manufacturing processes plays a vital role in the era of Industry 4.0
and sustainable development goals. The use of condition monitoring enables soft sensing of …

Mechanical Quantities Prediction of Metal Cutting by Machine Learning and Simulation Data

Y Cheng, Y Li, Y Cong, P Joli… - International Journal of …, 2024 - ui.adsabs.harvard.edu
Metal cutting is an important process in industrial manufacturing. Using the mechanical
quantities of metal cutting to optimize process design is helpful to improve productivity …

[PDF][PDF] An Attempt for Numerical Optimisation of a Micro-Groove Geometry at The Rake Face When Turning Ti6Al4V Alloy with Indexable Inserts

H Klippel, F Kneubühler, L Haudenschild… - Journal of Machine …, 2024 - jmacheng.not.pl
Machining of Ti6Al4V is considered difficult because the material removal rates are relatively
small if the tool wear shall be low. In recent years the reduction of process forces as well as …