Machine tool calibration: Measurement, modeling, and compensation of machine tool errors

W Gao, S Ibaraki, MA Donmez, D Kono… - International Journal of …, 2023 - Elsevier
Advanced technologies for the calibration of machine tools are presented. Kinematic errors
independently of their causes are classified into errors within one-axis as intra-axis errors …

[HTML][HTML] Review of intelligence for additive and subtractive manufacturing: current status and future prospects

MA Rahman, T Saleh, MP Jahan, C McGarry… - Micromachines, 2023 - mdpi.com
Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless
possibilities in various sectors covering personal, industrial, medical, aviation and even …

Evolution and future of manufacturing systems

H ElMaraghy, L Monostori, G Schuh, W ElMaraghy - CIRP Annals, 2021 - Elsevier
The evolution of manufacturing systems, influenced by changes along four axes-products,
technology, business strategies and production paradigms-is presented. Adoption of human …

On-line chatter detection in milling with hybrid machine learning and physics-based model

MH Rahimi, HN Huynh, Y Altintas - CIRP Journal of Manufacturing Science …, 2021 - Elsevier
Unstable vibrations, chatter, in machining lead to poor surface finish and damage to the tool
and machine. It is desired to detect and avoid chatter on-line without false alarms for …

[HTML][HTML] Machining Digital Twin using real-time model-based simulations and lookahead function for closed loop machining control

R Ward, C Sun, J Dominguez-Caballero, S Ojo… - … International Journal of …, 2021 - Springer
The future of machining lies in the fully autonomous machine tool. New technologies must
be developed that predict, sense and action intelligent decisions autonomously. Digital twins …

Sensor and actuator integrated tooling systems

F Bleicher, D Biermann, WG Drossel, HC Moehring… - CIRP Annals, 2023 - Elsevier
The advances in electronics, sensors, actuators, smart materials, computers, and
communication technologies led to new and improved mechatronics-based smart tooling …

Event-driven tool condition monitoring methodology considering tool life prediction based on industrial internet

Y Wang, L Zheng, Y Wang - Journal of Manufacturing Systems, 2021 - Elsevier
Tool condition monitoring (TCM) and remaining useful life (RUL) prediction is of great
practical significance for any machining process to ensure machining quality and reduce the …

Adaptive cognitive manufacturing system (ACMS)–a new paradigm

H ElMaraghy, W ElMaraghy - International Journal of Production …, 2022 - Taylor & Francis
Innovation and transformative changes in products, manufacturing technologies, business
strategies, and manufacturing paradigms have profoundly changed the manufacturing …

[HTML][HTML] Self-optimizing thermal error compensation models with adaptive inputs using Group-LASSO for ARX-models

N Zimmermann, T Büchi, J Mayr, K Wegener - Journal of Manufacturing …, 2022 - Elsevier
Thermal errors have a significant impact on the machining accuracy of five-axis machine
tools. The thermal adaptive learning control (TALC), which combines adaptable data-based …

An adaptive, artificial intelligence-based chatter detection method for milling operations

P Stavropoulos, T Souflas, C Papaioannou… - … International Journal of …, 2023 - Springer
Chatter is an uncontrollable and unattenuated vibration that results in large oscillations
between the workpiece and the cutting tool and has a detrimental effect on the surface …