Results 91 to 100 of about 2,574 (190)

Hermite Quartic Splines for Smoothing and Sampling a Roughing Curvilinear Spiral Toolpath

open access: yesApplied Sciences
From an industrial point of view, the milling of 2.5D cavities is a frequent operation, consuming time and presenting optimization potential, especially through a judicious choice of the tool trajectory.
Cédric Leroy   +2 more
doaj   +1 more source

Robotic Surface Finishing with a Region-Based Approach Incorporating Dynamic Motion Constraints

open access: yesMathematics
This work presents a task-oriented framework for optimizing robotic surface finishing to improve efficiency and ensure feasibility under realistic kinematic and geometric constraints.
Tomaž Pušnik, Aleš Hace
doaj   +1 more source

Automated Fiber Placement of Composite Wind Tunnel Blades: Process Planning and Manufacturing [PDF]

open access: yes
The ability to accurately manufacture large complex shapes in a consistent and repeatable manner has led to Automated Fiber Placement (AFP) being the predominant mode of manufacturing for large composite aerospace structures today.
Grenoble, Ray   +4 more
core   +1 more source

Finding the Maximum Subset with Bounded Convex Curvature [PDF]

open access: yes, 2016
We describe an algorithm for solving an important geometric problem arising in computer-aided manufacturing. When machining a pocket in a solid piece of material such as steel using a rough tool in a milling machine, sharp convex corners of the pocket ...
Abrahamsen, Mikkel, Thorup, Mikkel
core   +2 more sources

Data-driven approaches in incremental forming: Unravelling the path to enhanced manufacturing efficiency using data acquisition

open access: yesInternational Journal of Lightweight Materials and Manufacture
Incremental forming is a versatile and cost-effective sheet metal forming technique widely adopted in low-volume manufacturing and prototyping across various industries.
S. Pratheesh Kumar   +2 more
doaj   +1 more source

Designing end use components for additive manufacturing: navigating an emerging field [PDF]

open access: yes, 2017
Despite much excitement, research and development, Additive Manufacturing (AM) as a series production process for end-use components and products is not yet widespread or considered mainstream.
Bibb, RJ, Moultrie, J, Pradel, P, Zhu, Z
core   +1 more source

Experimental study on helical milling of blind holes in Carbon Fiber Reinforced Polymer

open access: yesInternational Journal of Lightweight Materials and Manufacture
Machining high-quality blind holes in Carbon Fiber Reinforced Polymer (CFRP) presents significant challenges due to its anisotropic structure, abrasive fibers, and susceptibility to defects such as delamination and fiber pullout.
Anyuan Jiao   +3 more
doaj   +1 more source

From computer-aided to intelligent machining: Recent advances in computer numerical control machining research [PDF]

open access: yes, 2015
The aim of this paper is to provide an introduction and overview of recent advances in the key technologies and the supporting computerized systems, and to indicate the trend of research and development in the area of computational numerical control ...
Gao, James   +2 more
core   +1 more source

DIGITAL THREAD ENABLED TIME OPTIMAL TRAJECTORY GENERATION FOR MACHINING TOOLPATHS

open access: yesMM Science Journal
The manufacturing sector is undergoing a data-driven revolution, with standards such as ISO 10303 (STEP) enabling a seamless digital thread – enhancing productivity, sustainability, and regulatory compliance. As the complexity of manufacturing operations grows, so does the demand for end-to-end certifiable processes via interoperable, standards-based ...
D. Wilkinson, B. Sencer, R. Ward
openaire   +1 more source

Advanced deep reinforcement learning for optimizing 3D printing toolpaths: A framework with enhanced agent architectures, Count-Prioritized Replay, and curriculum learning

open access: yesEngineering Science and Technology, an International Journal
Optimizing toolpaths in 3D printing presents a significant challenge for achieving efficient and high-quality prints. In this study, a novel deep reinforcement learning (DRL) framework is proposed to overcome this problem.
Ahmed Merze, Fatih Vehbi Çelebi
doaj   +1 more source

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