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Published on: May 14, 2016
Compressive Behaviour of Lattice Structures Manufactured by Polyjet Technologies
Camil Lancea1, Ian Campbell2, Lucia-Antoneta Chicos1
1Department of Manufacturing Engineering, Faculty of Technological Engineering and Industrial Management, Transilvania University of Brasov, 500036 Brasov, Romania.
This study identified the optimal lattice cell structure for additive manufacturing using Poly Jet technology. The strongest structure demonstrated superior compressive strength, crucial for complex part production.
Area of Science:
- Materials Science and Engineering
- Mechanical Engineering
- Additive Manufacturing
Background:
- Additive manufacturing (AM) offers cost and time efficiencies for complex geometries.
- Lattice structures are vital for optimizing part performance and material usage.
- Poly Jet AM technology enables intricate designs but requires structural validation.
Purpose of the Study:
- To determine the optimal lattice cell design for maximum compressive strength.
- To compare the performance of six different lattice cell types manufactured via Poly Jet AM.
- To establish a methodology for evaluating lattice structure strength in AM.
Main Methods:
- Manufacturing six distinct lattice cell types using Poly Jet AM technology, with six replicates each.
- Conducting compression tests on all samples using an electromechanical testing machine.
- Utilizing finite element analysis (FEA) to identify stress concentrations and predict maximal compressive strength.
Main Results:
- Quantified maximal compressive strength for each lattice type, normalized by mass (N/g) and critical section (MPa).
- Identified specific lattice cell designs exhibiting significantly higher compressive strength.
- FEA analysis pinpointed areas of maximum stress, correlating with experimental failure points.
Conclusions:
- The study successfully identified the strongest lattice cell structure for Poly Jet AM based on compressive strength.
- Results provide valuable data for engineers selecting lattice designs for demanding applications.
- This research contributes to the advancement of optimized part design in additive manufacturing.
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