Polymer Bulletin, Journal Year: 2022, Volume and Issue: 80(7), P. 7341 - 7388
Published: Aug. 26, 2022
Language: Английский
Polymer Bulletin, Journal Year: 2022, Volume and Issue: 80(7), P. 7341 - 7388
Published: Aug. 26, 2022
Language: Английский
Advanced Industrial and Engineering Polymer Research, Journal Year: 2023, Volume and Issue: 6(3), P. 278 - 287
Published: March 16, 2023
This paper explores the potential of using Chat Generative Pre-trained Transformer (ChatGPT), a Large Language Model (LLM) developed by OpenAI, to address main challenges and improve efficiency Gcode generation process in Additive Manufacturing (AM), also known as 3D printing. The process, which controls movements printer's extruder layer-by-layer build is crucial step AM optimizing essential for ensuring quality final product reducing print time waste. ChatGPT can be trained on existing data generate optimized specific polymeric materials, printers, objects, well analyze optimize based various printing parameters such temperature, speed, bed fan wipe distance, extrusion multiplier, layer thickness, material flow. Here capability performing complex tasks related optimization was demonstrated. In particular performance tests were conducted evaluate ChatGPT's expertise technical matters, focusing evaluation detachment, warping, stringing issues Fused Filament Fabrication (FFF) methods thermoplastic polyurethane polymer feedstock material. work provides effective feedback assesses its use field. has revolutionize industry offering user-friendly interface utilizing machine learning algorithms accuracy optimal parameters. Furthermore, real-time capabilities lead significant savings, making more accessible cost-effective solution manufacturers industry.
Language: Английский
Citations
93SLAS TECHNOLOGY, Journal Year: 2023, Volume and Issue: 28(3), P. 165 - 182
Published: April 29, 2023
The design of biomimetic porous scaffolds has been gaining attention in the biomedical sector lately. Shells, marine sponges, shark teeth, cancellous bone, sea urchin spine, and armadillo armor structure are examples biological systems that have already studied to drive innovative, porous, multifunctional structures. Among these, triply periodic minimal surfaces (TPMSs) attracted scientists for fabrication scaffolds. interest stems from their outstanding properties, which include mathematical controllable geometry features, highly interconnected architectures, high surface area volume ratio, less stress concentration, tunable mechanical increased permeability. All these distinguishing features enable better cell adhesion, optimal integration surrounding tissue avoiding shieldings, a good permeability fluid media oxygen, possibility vascularization. However, sophisticated TPMS-based structures proven challenging fabricate by conventional methods. emergence additive manufacturing (AM) enhanced freedoms flexibility it guarantees could solve some bottlenecks, thus leading surge designing fabricating such this field. Also, feasibility using AM technologies allows obtaining size programmable TPMS printable various materials, polymers metal alloys. Here, comprehensive overview 3D-printed is provided (DfAM) application perspective. First, strategies, algorithms, related topological optimization introduced according diverse requirements. Based on that, performance control pros cons different processes summarized. Lastly, practical applications field presented clarify advantages potential
Language: Английский
Citations
73Polymers, Journal Year: 2023, Volume and Issue: 15(19), P. 3858 - 3858
Published: Sept. 22, 2023
Metamaterials are architected cellular materials, also known as lattice that inspired by nature or human engineering intuition, and provide multifunctional attributes cannot be achieved conventional polymeric materials composites. There has been an increasing interest in the design, fabrication, testing of metamaterials due to recent advances digital design methods, additive manufacturing techniques, machine learning algorithms. To this end, present review assembles a collection research on fabrication metamaterials, it can act reference for future applications categorizes mechanical properties existing from literature. The within study reveals there is need develop more expedient straightforward methods designing similar implicitly created TPMS lattices. Additionally, under complex loading scenarios required better understand their behavior. Using right algorithms process alleviate many current difficulties, enabling precise effective production with product quality.
Language: Английский
Citations
43International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 270, P. 109111 - 109111
Published: Feb. 15, 2024
Language: Английский
Citations
15Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials, Journal Year: 2024, Volume and Issue: 157, P. 106646 - 106646
Published: Sept. 1, 2024
Language: Английский
Citations
11International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 262, P. 108734 - 108734
Published: Sept. 9, 2023
Language: Английский
Citations
19Journal of Alloys and Compounds, Journal Year: 2024, Volume and Issue: 982, P. 173744 - 173744
Published: Feb. 2, 2024
This study proposed a design method of honeycomb structure based on triply periodic minimal surfaces (TPMS), namely gyroid-honeycomb. The samples were fabricated by selective laser melting (SLM) with Ti6Al4V (TC4) material. Through the uniaxial quasi-static compression tests and numerical simulations, mechanical responses energy absorption capability structures under different compressive velocities investigated. Compared conventional truss-honeycomb structure, gyroid-honeycomb exhibited reduced stress fluctuation enhanced in-plane direction. Particularly, also demonstrated superior both low high velocities. According to scanning electron micrograph (SEM) image fracture surface, unique buckling failure mode along large plastic deformation negative Poisson's ratio. can be attributed distinct distribution in according simulation results. Notably, displayed remarkable capacity for across various These findings provide valuable insights into application novel TPMS-based enhancing crashworthiness protection vehicles.
Language: Английский
Citations
8Thin-Walled Structures, Journal Year: 2024, Volume and Issue: unknown, P. 112471 - 112471
Published: Sept. 1, 2024
Language: Английский
Citations
7International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 276, P. 109445 - 109445
Published: June 1, 2024
Language: Английский
Citations
6Mechanics Research Communications, Journal Year: 2024, Volume and Issue: 137, P. 104261 - 104261
Published: March 14, 2024
Language: Английский
Citations
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