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Traceability of On-Machine Tool Measurement: A Review. [PDF]

open access: yesSensors (Basel), 2017
Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind ...
Mutilba U   +4 more
europepmc   +2 more sources

Characterization of the Machine Behavior During Hollow Embossing Rolling of Metallic Bipolar Half Plates

open access: yesJournal of Machine Engineering, 2023
The hollow embossing rolling of thin-walled high precision components like metallic bipolar half plates is characterized by narrow process windows. Here, the knowledge of interaction between forming machine, roll and process is crucial for the process ...
Martin Wagner   +5 more
doaj   +1 more source

Estimation of External Force-Torque Vector Based on Double Encoders of Industrial Robots Using a Hybrid Gaussian Process Regression and Joint Stiffness Model

open access: yesJournal of Machine Engineering, 2023
Industrial robots are increasingly used in industry for contact-based manufacturing processes such as milling and forming. In order to meet part tolerances, it is mandatory to compensate tool deflections caused by the external force-torque vector ...
Eckart Uhlmann   +2 more
doaj   +1 more source

Potential of Tool Clamping Surfaces in Forming Machines for Cognitive Production

open access: yesJournal of Machine Engineering, 2022
High reproducibility of forming processes along with high quality expectations of the resulting formed parts demand cognitive production systems. The prerequisite is process transparency, which can be improved by increased knowledge of interdependencies ...
Mohaned Alaluss   +5 more
doaj   +1 more source

Research on a new high-quality and high-efficiency SLM forming method based on interlayer strategy [PDF]

open access: yesMATEC Web of Conferences, 2022
To ensure the forming quality of SLM and to improve the forming efficiency of SLM, this paper investigates the forming effect of Ti6Al4V specimens formed by SLM based on an interlayer strategy.
Wang Peng, Chen Dongju, Li Gang
doaj   +1 more source

Condition Monitoring of Machine Tool Feed Drives: A Review

open access: yesJournal of manufacturing science and engineering, 2022
The innovations propelling the manufacturing industry towards Industry 4.0 have begun to maneuver into machine tools. Machine tool maintenance primarily concerns the feed drives used for workpiece and tool positioning.
Quade Butler   +3 more
semanticscholar   +1 more source

Recurrent neural networks with long term temporal dependencies in machine tool wear diagnosis and prognosis

open access: yesSN Applied Sciences, 2021
Data-driven approaches for machine tool wear diagnosis and prognosis are gaining attention in the past few years. The goal of our study is to advance the adaptability, flexibility, prediction performance, and prediction horizon for online monitoring and ...
Jianlei Zhang, Yukun Zeng, B. Starly
semanticscholar   +1 more source

Economic operation of China's superhard industry in the first half of 2022

open access: yesJin'gangshi yu moliao moju gongcheng, 2022
Based on the Purchasing Managers' Index, the relevant data of the superhard material industry, the import and the export data of superhard commodities of China Customs, and the import data of United States and Japan Customs, 6 tables and 8 charts are ...
Lijuan LI   +6 more
doaj   +1 more source

Thermal error modeling based on BiLSTM deep learning for CNC machine tool

open access: yesAdvances in Manufacturing, 2021
The machining accuracy of computer numerical control machine tools has always been a focus of the manufacturing industry. Among all errors, thermal error affects the machining accuracy considerably.
Puling Liu   +5 more
semanticscholar   +1 more source

Radial Error Motion Measurement and Its Uncertainty Estimation of Ultra Precision Axes of Rotation with Nanometer Level Precision

open access: yesMicromachines, 2022
The radial error is the key performance indicator of ultra-precision axis. In order to measure and evaluate the radial error of ultra-precision axis with nanometer accuracy, a measurement system with an accuracy of nanometer based on capacitive ...
Xingbao Liu   +5 more
doaj   +1 more source

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