Results 61 to 70 of about 3,343 (255)

Learning-Based Prediction of Pose-Dependent Dynamics

Journal of Manufacturing and Materials Processing, 2020
The constantly increasing demand for both, higher production output and more complex product geometries, which can only be achieved using five-axis milling processes, requires elaborated analysis approaches to optimize the regarded process.
Felix Finkeldey, Andreas Wirtz, Torben Merhofe, Petra Wiederkehr   +3 more
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High Body Mass Index

Arthritis Care &Research, EarlyView.
Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Tool path design for cube-machining test to minimize influence of Z-axis reversal error motion

Journal of Advanced Mechanical Design, Systems, and Manufacturing
Cube-machining test is a possible method for evaluating the accuracy of five-axis machining centers. Although the geometric errors of rotary axes can be evaluated by measuring the height and inclination errors of the machined surfaces, other error ...
Ryuta SATO, Zongze LI, Shigehiko SAKAMOTO   +2 more
doaj   +1 more source

Evaluation of Axial Displacement Caused by Rotary Axis Motion Direction Change in Five-Axis Controlled Machining Centers

Journal of the Japan Society for Precision Engineering, 2017
Several methods for evaluating the motion accuracy of the rotary axes of five-axis controlled machining centers have been proposed up to now. Since it is known that particular motion errors exist around motion direction changing points, it is important to evaluate the behavior of the rotary axes around these points. In this study, the characteristic of
Tadahiro NISHIGUCHI, Ryuta SATO, Keiichi SHIRASE   +2 more
openaire   +3 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Dual-Motor Position Control Based on a Synchronous State Observer

Machines
High-end vertical five-axis machining centers commonly adopt dual-motor direct-drive configurations for their cradle-type A-axis to improve dynamic performance; however, this approach introduces control challenges in balancing counteracting torque and ...
Li Lei, Qingyang Wang, Yesong Li
doaj   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Adaptive Positioning Repair Method for Aero-Engine Blades by Using Speckle Vision Measurement

IEEE Access, 2020
The repair of damaged aero-engine blades has an extremely high economic value. Due to the complexity of the blade surface and various kinds of deformation during the lifetime, blade positioning in the repair process has always been one of the key ...
Jun Wu, Zhan Li, Jin Zhang, Ning Wang, Tao Wang, Hao Wang, Jie Tang   +6 more
doaj   +1 more source

Research on Fillet Simulation Machining of Spiral Bevel Gear based on Five-axis Machining Center [PDF]

Journal of Computer and Electronics Studies, 2019
The traditional spiral bevel gear fillet processing process mainly rely on artificial grinding method, resulting in low efficiency processing, work intensity, parts quality can not guarantee such problems. Aiming at the above problems, a method of fillet machining in five - axis machining center is proposed. The feasibility of the method is verified by
openaire   +1 more source