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Learning computer-aided manufacturing from demonstration: a case study with probabilistic movement primitives in robot wood carving [PDF]

open access: yesFrontiers in Robotics and AI
Computer-Aided Manufacturing (CAM) tools are a key component in many digital fabrication workflows, translating digital designs into machine instructions to manufacture physical objects.
Daniel Schäle   +2 more
doaj   +2 more sources

RAPSO: An Integrated PSO with Reinforcement Learning and an Adaptive Weight Strategy for the High-Precision Milling of Elastic Materials [PDF]

open access: yesSensors
This study tackles the challenge of achieving high-precision robotic machining of elastic materials, where elastic recovery and overcutting often impair accuracy.
Qingxin Li   +3 more
doaj   +2 more sources

Facile method for 3D printing conformally onto uneven surfaces and its application to face masks [PDF]

open access: yesScientific Reports, 2023
Conventional additive manufacturing processes, where parts are built through layer-wise deposition of material on a horizontal plane, can be limiting when a part must be printed or fit onto uneven surfaces.
Zehao Ji   +3 more
doaj   +2 more sources

Effect of CNC Interpolator Parameter Settings on Toolpath Precision and Quality in Corner Neighborhoods

open access: yesApplied Sciences, 2022
Surface quality, machining time, and precision of the final workpiece are key criteria of optimization in CNC machining. These criteria are influenced by multiple factors, such as path interpolation, feed drive system settings, machine dynamics, and the ...
Petr Petráček   +3 more
doaj   +1 more source

Strength Enhancement in Fused Filament Fabrication via the Isotropy Toolpath

open access: yesApplied Sciences, 2021
The fused filament fabrication (FFF) process deposits thermoplastic material in a layer-by-layer manner, expanding the design space and manufacturing capability compared with traditional manufacturing.
Xinyi Xiao, Byeong-Min Roh, Feng Zhu
doaj   +1 more source

Effects of Toolpath Parameters on Engagement Angle and Cutting Force in Ellipse-Based Trochoidal Milling of Titanium Alloy Ti-6Al-4V

open access: yesApplied Sciences, 2023
Trochoidal milling is an efficient strategy for the rough machining of difficult-to-cut materials. The true trochoidal toolpath has C2 continuity and avoids sharp changes in engagement angle and cutting load, resulting in smooth machine tool movement ...
Xu Zhou   +4 more
doaj   +1 more source

A Toolpath Planning Method for Optical Freeform Surface Ultra-Precision Turning Based on NURBS Surface Curvature

open access: yesMachines, 2023
As the applications for freeform optical surfaces continue to grow, the need for high-precision machining methods is becoming more and more of a necessity. Different toolpath strategies for the ultra-high precision turning of freeform surfaces can have a
Xuchu Wang   +4 more
doaj   +1 more source

A Review on Part Geometric Precision Improvement Strategies in Double-Sided Incremental Forming

open access: yesMetals, 2022
Low geometric accuracy is one of the main limitations in double-sided incremental forming (DSIF) with a rough surface finish, long forming time, and excessive sheet thinning.
Sattar Ullah   +5 more
doaj   +1 more source

A Non-Uniform Offset Algorithm for Milling Toolpath Generation Based on Boolean Operations

open access: yesApplied Sciences, 2022
In milling, the advancement of CAM strategies has increased the need for tailored algorithms for semi-finished phase computation. In some cases (e.g., thin-wall milling), variable radial engagement of the tool during the toolpath is desired, leading to ...
Giuseppe Venturini   +3 more
doaj   +1 more source

T-Spline Surface Toolpath Generation Using Watershed-Based Feature Recognition

open access: yesApplied Sciences, 2020
The freeform surface is treated as a single machining region for most traditional toolpath generation algorithms. However, due to the complexity of a freeform surface, it is impossible to produce a high-quality surface using one unique machining process.
Yazui Liu, Gang Zhao, Pengfei Han
doaj   +1 more source

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