Cable behavior influence on Cable-Driven Parallel Robots vibrations: experimental characterization and simulation

2021 ◽  
pp. 1-54
Author(s):  
Damien Gueners ◽  
Belhassen Chedli Bouzgarrou ◽  
Helene Chanal
Keyword(s):  
Additive Manufacturing ◽  
Tool Path ◽  
Dynamic Stiffness ◽  
Parallel Robots ◽  
Medium Size ◽  
Stiffness Analysis ◽  
Stiffness Model ◽  
Manufacturing Applications ◽  
High Level

Abstract In this paper, the influence of cable behavior, on Cable Driven Parallel Robots (CDPR) is studied. This study is conducted with the goal of designing a medium size CDPR for additive manufacturing. This robot needs to have a high level of rigidity to guarantee a given tracking tool path error. Firstly, the characterization of different thin cables (steel, Dyneema®, aramid) is presented. The mechanical properties of these cables, in terms of stiffness, damping, hysteresis and creep are compared with regard to additive manufacturing applications. A stiffness model, which takes into account the cable preload, and a dynamic model of CDPR is proposed. The simulations of these two models are compared with experimental results obtained for the range of cables studied using dynamic stiffness analysis on an 8-cable fully constrained CDPR. This paper concludes on the type of cable that should be chosen for our application.

scholarly journals Feature Engineering for Surrogate Models of Consolidation Degree in Additive Manufacturing

Materials ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2239
Author(s):  
Mriganka Roy ◽  
Olga Wodo
Keyword(s):  
Additive Manufacturing ◽  
Tool Path ◽  
Computational Cost ◽  
Deposition Process ◽  
Surrogate Models ◽  
High Accuracy ◽  
Medium Size ◽  
Fused Filament Fabrication ◽  
The Cost ◽  
Consolidation Degree

Surrogate models (SM) serve as a proxy to the physics- and experiment-based models to significantly lower the cost of prediction while providing high accuracy. Building an SM for additive manufacturing (AM) process suffers from high dimensionality of inputs when part geometry or tool-path is considered in addition to the high cost of generating data from either physics-based models or experiments. This paper engineers features for a surrogate model to predict the consolidation degree in the fused filament fabrication process. Our features are informed by the physics of the underlying thermal processes and capture the characteristics of the part’s geometry and the deposition process. Our model is learned from medium-size data generated using a physics-based thermal model coupled with the polymer healing theory to determine the consolidation degree. Our results demonstrate high accuracy (>90%) of consolidation degree prediction at a low computational cost (four orders of magnitude faster than the numerical model).

Novel Honeycomb Infill Fabrication Pattern for Additive Manufacturing

2019 ◽  
Author(s):  
AMM Nazmul Ahsan ◽  
Triston Ihrke ◽  
Bashir Khoda
Keyword(s):  
Additive Manufacturing ◽  
Tool Path ◽  
Physical Stability ◽  
Honeycomb Structure ◽  
Voxel Size ◽  
Compression Load ◽  
Build Time ◽  
Manufacturing Applications ◽  
Traditional Pattern ◽  
Traditional Counterpart

Abstract In additive manufacturing (AM), porous structures are often used as infills to reduce the build time and cost. However, providing physical stability to the skin and mechanical integrity to the object is a functional requirement for any infill pattern. Prismatic closed cells, i.e. honeycomb structure, are often used as infill in AM parts. These cells are periodic in nature and uniform in density. In this research, a new fabrication pattern for honeycomb infill is proposed for additive manufacturing applications. The proposed pattern can accommodate controllable variational honeycomb infill while maintaining continuity with relative ease. First, the honeycomb unit cell geometry is defined for uniform and non-uniform voxel size. A continuous tool-path is then designed to achieve the honeycomb structure. Finally, the structures are fabricated with the variational and uniform pattern and are then compared to the traditional pattern using compression testing. The results show that the proposed designs perform better under compression load and can absorb more energy compared to the traditional counterpart.

Dynamic stiffness model of spherical parallel robots

2016 ◽  
Vol 384 ◽  
pp. 312-324 ◽  
Author(s):  
Alessandro Cammarata ◽  
Ivo Caliò ◽  
Domenico D׳Urso ◽  
Annalisa Greco ◽  
Michele Lacagnina ◽  
...  
Keyword(s):  
Dynamic Stiffness ◽  
Parallel Robots ◽  
Stiffness Model

Manipulation and Characterization of a Novel Titanium Powder Precursor for Additive Manufacturing Applications

JOM ◽  
2015 ◽  
Vol 67 (3) ◽  
pp. 564-572 ◽  
Author(s):  
Y. Y. Sun ◽  
S. Gulizia ◽  
C. H. Oh ◽  
C. Doblin ◽  
Y. F. Yang ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Titanium Powder ◽  
Powder Precursor ◽  
Manufacturing Applications
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