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The paper presents optimization of Fused Deposition Modeling process parameters to improve the cylindricity of 3d printed parts with the Taguchi optimization method. The effect of thickness, infill pattern, number of walls, and Layer height was investigated as variable parameters for experiments on cylindricity. Parts were manufactured by the MarkF...
Context in source publication
Context 1
... of the Markforged printers, is Mark Two Printer, used to conduct experiments from polyamide 6 (figure 1). As shown in Figure 2 for the experiments, hollow cylindrical parts with a fixed height of 40mm and inner diameter of 10mm, but variable outer diameter with the amounts of 20, 30, and 40mm were designed using CATIA-V5 software and exported as an STL file. The parts were printed using thermoplastic (polyamide 6) at a temperature of 273 centigrade. ...
Citations
... The design rules are functionindependent and easily transferable to individual component designs. Another field that design methods or guidelines focus on is print process optimization (Jiang and Ma, 2020;Shakeri et al., 2021;Junk and Bär, 2023). In their Review, Jiang and Ma (2020) developed a table as a guide for designers to select a suitable path planning strategy for specific applications. ...
... The path planning strategies were categorized into the groups of improved print quality, material and time reduction and achievement of desired properties. Shakeri et al. (2021) present experimentally determined process parameters for the FDM process using the Taguchi method. They report the optimization of FDM process parameters to reduce the cylindricity error of additively manufactured components. ...
In recent years, interest in additive manufacturing has increased. To overcome challenges such as the correct use of the technology, guidelines are needed to help the user in the fabrication process. However, such guidance is not currently available for all applications. This paper dives into design methods in AM and their transfer to an application example in the field of medical technology. The aim of this paper is to analyse the transferability of a design method for vessel models to small vessel models. To this end, an initial printing study is carried out on simplified hollow structures.
... With the invention of the transistor and microprocessor, this revolution saw the emergence of electronics, telecommunications and computers, the internet, and renewable energies. This new technology paved the way for the development of miniaturized materials, which would open doors to various fields, including space exploration and biotechnology [8], [9]. Because of information technology, programmable logic controllers (PLCs), computer numerical control (CNC), microelectronics, additive manufacturing and robotics, this revolution brought a new era of high-level automation in manufacturing and it improved automation and quality manufacturing. ...
During the last years, manufacturing organizations have been required to adjust and develop new solutions to become more dynamic and flexible to face shifting markets due to recent technological advancements and the desire for highly customized products. Manufacturing scheduling is critical to ensuring that all operations are running on time in the plant. Due to the dynamism of industry areas, scheduling may need the utilization of a highly complicated solution. In addition, real-world scheduling issues include ongoing uncertainty in the environment, and machine breakdowns can cause the first schedule to fail. This paper aims to present an overview of smart scheduling in the Context of Industry 4.0. First, the development of the problem of dynamic job shop scheduling (JSP) was described. Then, it includes subjects such as dynamic job shop scheduling, dynamic events, evaluation indicators, dynamic scheduling strategy, dynamic scheduling methodologies, and scheduling systems. Industry 4.0 represents the future direction of automation and digital technology in manufacturing. A novel decision-making schema is designed to produce flexible and efficient production plans by utilizing the plant's capabilities. Index Terms-job shop scheduling; smart factory; smart distributed system; Industry 4.0
... One of the essential goals in the production of parts with this method is to produce parts with high mechanical properties and excellent geometrical accuracy at the same time. Among the various methods used to improve the desired properties of produced parts is to determine the optimum process parameters in this process [1][2][3] . ME, also known as Fused Filament Fabrication (FFF) as described in the ISO/ASTM 52900, is a popular AM method that involves selective deposition due to less material wastage, less expensive materials, and tools of thermoplastic polymers through a heated nozzle. ...
This paper investigates the effect of different additive manufacturing process parameters such as chamber temperature, Printing temperature, layer thickness, and print speed on five essential parameters that characterize the manufactured components: cylindricity, circularity, strength, and Young's modulus, and deformation by Gray Relational Analysis method simultaneously. Taguchi method was used to design the experiments, and the PA6 cylindrical parts were fabricated using a German RepRap X500® 3D printer. Then the Gray Relational Grade (GRG) values were calculated for all experiments. In the 8th trial, the highest value of GRG was observed. Then, to discover the optimal parameters, the GRG data were analyzed using ANOVA and S/N analysis, and it was determined that the best conditions for enhancing GRG are 60 °C in the chamber temperature, 270 °C in the printing temperature, 0.1 mm layer thickness, and 600 mm/min print speed. Finally, by using optimal parameters, a verification test was performed, and new components were investigated. Finally, comparing the initial GRG with the GRG of the experiments showed an improvement in the gray relational grade (14%) which is accompanying with improving of GRG value.
... The Taguchi optimization method is used to optimize the fused filament fabrication process's parameters to improve shape deviations such as the cylindricity and circularity of 3D printed parts. As variable parameters for experiments on cylindricity and circularity, the effects of thickness, infill pattern, number of walls, and layer height were investigated [38]. The effects of various operational parameters on surface roughness have been investigated, including abrasive mass flow rate, traverse speed, and nozzle standoff distance [39]. ...
Conventionally, a manufactured product undergoes a quality control process. The quality control department mostly ensures that the dimensions of the manufactured products are within the desired range, i.e., the product either satisfies the defined conformity range or is rejected. Failing to satisfy the conformity range increases the manufacturing cost and harms the production rate and the environment. Conventional quality control departments take samples from the given batch after the manufacturing process. This, in turn, has two consequences, i.e., low-quality components being delivered to the customer and input energy being wasted in the rejected components. The aim of this paper is to create a high-precision measuring (metrology)-based system that measures the dimension of an object in real time during the machining process. This is accomplished by integrating a vision-based system with image processing techniques in the manufacturing process. Experiments were planned using an experimental design which included different lightning conditions, camera locations, and revolutions per minute (rpm) values. Using the proposed technique, submillimeter dimensional accuracy was achieved at all the measured points of the component in real time. Manual validation and statistical analysis were performed to check the validity of the system.
