Purpose: The objective of this research paper is to compile a list of key moisture-sensitive smart materials used in 4D printing. These materials have applications in various fields, including industrial and medical, and the list can be used as a reference for creating 4D-printed sensors and actuators. Design/methodology/approach: The smart materials used in 4D printing are discussed, and a description of each material is given, including its principle, applications and areas of use. Findings: We have discovered a large number of different materials that are sensitive to moisture and have identified those that are most essential for use in 4D printing. Research limitations/implications: According to the results of this research, the moisture-sensitive materials used in 4D printing have very limited use and application, and the majority of these materials are still in the research and development stage. Originality/value: This review article provides researchers interested in using smart materials to exploit 4D printing in the industrial and medical fields, as well as in many other disciplines, with a means to identify the most widely used and prevalent moisture-sensitive materials.
Purpose: This paper aims to investigate how the use of 3D printing can facilitate the achievement of lean manufacturing objectives. The main goal of the study is to identify the similarities between the two concepts and evaluate how well they complement each other in terms of improving quality, productivity and reducing costs by eliminating waste. Design/methodology/approach: During this study, the methodology involved conducting a thorough and comprehensive examination of existing literature on lean manufacturing and additive manufacturing. The aim was to provide an overview of the relationship between these two concepts and gain insights into areas that require further research. Findings: Results obtained indicate a need for more comprehensive and detailed examination of the relationship between lean manufacturing and additive manufacturing in the existing literature. The study highlights the potential synergy between 3D printing and lean manufacturing, suggesting that their integration can enhance quality, productivity, and cost reduction through waste elimination. However, it is important to note that further empirical research is required to validate these findings and quantify the actual impact of combining these two concepts. Research limitations/implications: This study’s limitation is that it relies exclusively on a literature review and does not include any experimental testing to verify the suggested connection between lean manufacturing and additive manufacturing. Practical implications: This study can help companies understand how the use of 3D printing can aid in achieving lean manufacturing objectives. Additionally, the study can provide insights into best practices for combining lean manufacturing and additive manufacturing and can help companies to optimise the benefits of both. Originality/value: The conducted literature review provides valuable insights into the relationship between 3D printing and lean manufacturing. This research contributes to the existing body of knowledge by synthesising and analysing previous studies, highlighting how 3D printing can potentially contribute to the achievement of lean manufacturing goals and how those two concepts can complement each other.
Purpose This paper is intended to investigate numerically and experimentally the influence of raster angle on the structural performance of an optimised printed structure. Design/methodology/approach The topology optimisation (TO) problem for compliance minimisation using Solid Isotropic Material with Penalization (SIMP) method has been solved with a Messerschmitt-Bolkow-Blohm (MBB) beam under three-point bending, then the resulting optimal design was additively manufactured using Fused Filament Fabrication (FFF) with varying raster angle. The mechanical behaviour of these geometries was investigated and compared. A numerical approach has been developed through a script in Python based on the G-code file and integrated into an ABAQUS to create a virtual sample identical to the physical specimen. The numerical results were coupled with an experimental investigation. Findings The investigation presented in this work showed that the choice of raster significantly affects on the mechanical performance of the printed optimised structures. Indeed, the optimised structure printed with a 90° raster angle has the highest performance in contrast to 45° and 0°, while the optimised structure printed at a 45° raster angle has an average performance. The experimental test validated the numerical data with an error of approximately 1.09%. Our numerical results are in good conformity with the experimental outcomes. Research limitations/implications In this research, we studied the impact of three raster angles (90°, 45° and 0°) on the mechanical behaviour of a FFF optimised part. The subsequent study will focus on the other print parameters, including the other raster angles. Practical implications The analysis presented in this paper can be used for manufacturing a FFF optimised structure. Originality/value This paper evaluates the effect of raster angle in printed optimised structures using a novel numerical approach. The presented results will establish a reference that many researchers can gear to develop the fabrication of TO structures by incorporating printing parameters.
Purpose: The present study aims to conduct a literature review on the various methods explored to enhance the quality of AlSi10Mg parts manufactured via the Selective Laser Melting (SLM) process. Specifically, the research focuses on identifying strategies for reducing the porosity level in SLM-fabricated AlSi10Mg parts. Considering the highly competitive nature of the market in which SLM technology is employed, improving part quality is necessary to ensure business continuity and maintain a competitive edge. Design/methodology/approach: The present study offers a comprehensive examination of the SLM process, particularly emphasising the diverse parameters that can influence the porosity rate in SLM-fabricated parts. By providing a detailed description of the SLM process, we highlight the intricacy of this technology and discuss the significance of various parameters. Furthermore, we present a literature review of prior research on SLM, summarising the studied parameters and their impact on porosity. This research aims to enhance our understanding of the SLM process and the parameters that affect the density of SLM-fabricated parts. Findings: The present study aims to identify research opportunities in the field of SLM technology. One particularly promising area of investigation is exploring the correlation between scan direction and the porosity rate in SLM-fabricated parts. This research seeks to enhance our understanding of the relationship between these two parameters and their potential impact on the quality of SLM-fabricated parts. Practical implications: By reducing porosity, industries such as aerospace and aeronautics can attain enhanced performance through mechanical system optimisation. Originality/value: The present study summarises the various methods previously investigated for reducing the porosity rate in parts manufactured using the SLM process. Additionally, it proposes new avenues for achieving further parameter optimisation to attain higher levels of quality.
Purpose: This research work aims to exhibit the possibility to topologically optimize a mesostructured part printed virtually by FDM taking into account the manufacturing parameters. Design/methodology/approach: The topology optimization of a 3D part printed by FDM was carried out using the software ABAQUS. On the other hand, a numerical approach using a script based on G-code file has been achieved to create a virtual model. Then, it was optimized according to the Solid Isotropic Material with Penalization (SIMP) method, which minimizing the strain energy was the objective function and the volume fraction of 30% was the constraint. Findings: The final topological optimization design of the virtual model is approximately similar to the homogeneous part. Furthermore, the strain energy of the virtual model is less than the homogeneous part. However, the virtually 3D optimized part volume is higher than the homogeneous one. Research limitations/implications: In this study, we have limited our study on one layer owing to reduce the simulation time. Moreover, the time required to optimize the virtual model is inordinate. The ensuing study, we will optimize a multiple layer of the mesostructure. Practical implications: Our study provides a powerful method to optimize with accurately a mesostructure taken into consideration the manufacturing setting. Originality/value: In this paper, we have studied through an original approach the potential of topology optimization of a 3D part virtually printed by FDM. By means of our approach, we were able to optimize topologically the 3D parts printed by FDM taking into account the manufacturing parameters.
Purpose: The present work aims to investigate the effect of many infill patterns (rectilinear, line, grid, triangles, cubic, concentric, honeycomb, 3D honeycomb) and the infill density on the mechanical tensile strength of an Acrylonitrile Butadiene Styrene (ABS) test specimen manufactured numerically by FDM. Design/methodology/approach: Computer-Aided Design (CAD) software has been used to model the geometry and the mesostructure of the test specimens in a fully automatic manner from a G-code file by using a script. Then, a Numerical Design of Experiments (NDoE) has been carried out by using Taguchi method and the Analysis of Variance (ANOVA). The tensile behaviour of these numerical test specimens has been studied by the Finite Element Analysis (FEA). Findings: The FEA results showed that a maximal Ultimate Tensile Strength (UTS) was reached by using the ‘concentric’ infill pattern combined with an infill density of 30%. The results also show that the infill pattern and the infill density are significant factors. Research limitations/implications: The low infill densities of 20% and 30% that have already been used in many previous studies, we have also applied it in order to reduce the time of the simulations. Indeed, with high infill density, the simulations take a very excessive time. In an ongoing study, we predicted higher percentages. Practical implications: This study provided an important modelling tool for the design and manufacture of functional parts and helps the FDM practitioners and engineers to manufacture strong and lightweight FDM parts by choosing the optimal process parameters. Originality/value: This study elucidated the effect of various infill patterns on the tensile properties of the test specimens and applied for the first time a NDoE using numerical test specimens created by the mesostructured approach, which considerably minimized the cost of the experiments while obtaining an error of 6.8% between the numerical and the experimental values of the UTS.
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