Modeling and Optimization of Fused Deposition Modeling process parameters for cylindricity control by using Taguchi method

Shakeri, Zohreh; Benfriha, Khaled; Shirinbayan, Mohammadali; Ghodsian, Nooshin; Tcharkhtchi, Abbas

doi:10.1109/iceccme52200.2021.9590990

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…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.…”

Section: Design Methods and Guidelines For Additive Manufacturingmentioning

confidence: 99%

“…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.…”

Section: Design Methods and Guidelines For Additive Manufacturingmentioning

confidence: 99%

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Printing study and design guideline for small hollow structures in medical technology

Sobirey,

Wegner,

Laukotka

et al. 2024

Proc. Des. Soc.

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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.

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Section: Design Methods and Guidelines For Additive Manufacturingmentioning

confidence: 99%

Section: Design Methods and Guidelines For Additive Manufacturingmentioning

confidence: 99%

Printing study and design guideline for small hollow structures in medical technology

Sobirey,

Wegner,

Laukotka

et al. 2024

Proc. Des. Soc.

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show abstract

“…3D printing is one of the most widely used additive manufacturing (AM) processes which can produce complex geometrical parts from a digital file (Shakeri et al, 2021;Ahmadifar et al, 2021;Maisarah et al, 2019). In 3D printing, objects are created using additive manufacturing, instead of subtractive manufacturing processes (Sumalatha et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Process Parameters on Compressive Strength of 3D-Printed Polylactic Acid Parts

Akpakpavi,

Sackey,

Asante-Afrifa

2023

AJAR

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Purpose: The purpose of this work is to optimise the influence of 3D printing processing parameters on the ultimate compressive strength of 3D-printed polylactic acid (PLA) parts. The objective is to develop the predictive models to help predict and attain optimized compressive strength integrity of 3D printed parts. Design/Methodology/Approach: In the present study, 3D printed PLA samples were modelled and fabricated using carefully selected processing parameters-processing speed, processing temperature and nozzle diameter. Compressive tests were performed by ASTM D695-15 standard. Two characteristics response optimisation models based on the Taguchi Technique and multi-linear regression models were developed to optimize the process parameters and the ultimate compressive strength of the 3D printed samples. Findings: Results of this study reveal that ultimate compressive strength is significantly affected by the Nozzle diameter. The ultimate compressive strength of the 3D-printed PLA sample was found to be significantly higher than the strength of the original PLA filament printed. Research Implications/Limitations: In this study, only three critical 3D printing processing parameters including, processing speed; processing temperature and nozzle diameter were implemented concurrently. Practical implication: By optimising process parameters, such as layer thickness, infill density, printing speed, and processing temperature, manufacturers can produce 3D-printed PLA parts with higher compressive strength. This leads to higher product quality and reliability. Social implication: It can empower local communities and small businesses to manufacture parts and products that meet their specific needs. This can reduce dependence on centralized manufacturing and promote economic self-sufficiency. Originality / Value: In this work, Nozzle diameter, which is a not too much studied 3D printing processing parameter, is implemented simultaneously with processing speed, and processing temperature to 3D print PLA filament to achieve an ultimate compressive strength value significantly higher than the strength of the original filament.

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“…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].…”

Section: Introductionmentioning

confidence: 99%

Metrology Process to Produce High-Value Components and Reduce Waste for the Fourth Industrial Revolution

et al. 2022

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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.

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Modeling and Optimization of Fused Deposition Modeling process parameters for cylindricity control by using Taguchi method

Cited by 5 publications

References 17 publications

Printing study and design guideline for small hollow structures in medical technology

Printing study and design guideline for small hollow structures in medical technology

Optimisation of Process Parameters on Compressive Strength of 3D-Printed Polylactic Acid Parts

Metrology Process to Produce High-Value Components and Reduce Waste for the Fourth Industrial Revolution

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