A study on the prediction of bead geometry in the robotic welding system

Son, Joon-Sik; Kim, I. S.; Kim, H. H.; Kim, I. J.; Kang, Bong-Yong; Kim, H. J.

doi:10.1007/bf03177401

Cited by 11 publications

(4 citation statements)

References 10 publications

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“…Taguchi Method also provide a better feel for the relative effect of the different parameters/factors that can be analysed by the decomposition of the variance (ANOVA). It is a statistical method to estimate quantitatively the relative significance factors on quality characteristics [10,11]. If the p-value is less than the significance level (α), the factor is then regarded to be statistically significant [5,12].…”

Section: A Taguchi and Multi-objective Taguchi Methodsmentioning

confidence: 99%

A Quality Improvement Approach for Resistance Spot Welding using Multi-objective Taguchi Method and Response Surface Methodology

Muhammad¹,

Manurung²,

Hafidzi³

et al. 2012

International Journal on Advanced Science, Engineering and Information Technology

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This research deals with an approach for optimizing the weld zone developed by the resistance spot welding (RSW). This approach considers simultaneously the multiple quality characteristic (weld nugget and heat affected zone) using Multi-objective Taguchi Method (MTM). The experimental study was conducted under varying welding currents, weld and hold times for joining two sheets of 1.0 mm low carbon steel. The setting of welding parameters was determined using Taguchi experimental design method and L 9 orthogonal array was chosen. The optimum welding parameter for multi-objectives was obtained using multi signal to noise ratio (MSNR) and the significant level of the welding parameters was further analyzed using analysis of variance (ANOVA). Furthermore, the first order model for predicting the weld zone development was developed by using Response Surface Methodology (RSM). Confirmation experiment was conducted at an optimal condition for observing accuracy of the developed response surface model. Based on the confirmation test results, it is found out that the developed model can be effectively used to predict the size of weld zone which can improve the welding quality and performance in RSW.

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Section: A Taguchi and Multi-objective Taguchi Methodsmentioning

confidence: 99%

A Quality Improvement Approach for Resistance Spot Welding using Multi-objective Taguchi Method and Response Surface Methodology

Muhammad¹,

Manurung²,

Hafidzi³

et al. 2012

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

show abstract

“…A factor is considered statistically significant if the probability value (p-value) is lower than the predetermined significance level (α) [55]. F-value and percentage contribution were used to represent the relative significance of the factors [52,56,57]. The F-value or percentage contribution is used to quantify the relative importance of these factors.…”

Section: Optimisation Of Process Parametersmentioning

confidence: 99%

Fabrication and Characterisation of Sustainable 3D Printed Parts Using Post-consumer PLA Plastic and Virgin PLA Blends

Hasan,

Davies,

Paramanik

et al. 2024

Preprint

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Sustainable manufacturing practices are becoming increasingly necessary due to the growing concerns regarding climate change and resource scarcity. Consequently, material recycling technologies have gradually become preferred over conventional processes. This study aimed to recycle waste polylactic acid (PLA) from household-disposed cups and lids to create 3D-printed parts and promote sustainable manufacturing practices. To achieve this, the current study utilised virgin and post-consumer PLA (sourced from household waste) blends. The PC-PLA wastes were shredded and sorted by size with the aid of a washing step, resulting in a filament with a 1.70 ± 0.5 mm diameter without fragmentation or dissolution. A 50:50 wt.% blend of virgin PLA (vPLA) and PC-PLA was selected as the standard recycling percentage based on previous research and resource conservation goals. The study investigated the impact of three 3D printing parameters (layer height (LH), infill density (I), and nozzle temperature (NT))on the quality of 3D-printed parts using a three-level L9 Taguchi orthogonal array. The findings revealed that blending PC-PLA with vPLA led to significant improvements in the tensile, flexural, and impact strengths by 18.40%, 8%, and 9.15%, respectively, compared to those of recycled PLA. This conclusion was supported by the investigation of the fracture surface area, which revealed fractographic features associated with printing parameters, such as plastic deformation and interfilament debonding. An ANOVA analysis revealed a positive influence of larger layer height and high nozzle temperature on the mechanical properties. Subsequently, the optimal printing parameters (LH: 0.3 mm, I: 100%, and NT: 215 °C) were determined using the S/N ratio, and a confirmation test using the optimum printing parameters exhibited a strong correlation with statistically predicted outcomes. Finally, the study used optimum printing parameters to fabricate 100% post-consumer recycled PLA 3D printed parts, demonstrating their potential for low-strength applications. Based on these findings, it can be concluded that virgin and post-consumer recycled PLA blended filament for fabricating 3D printed components is an effective way to support plastic recycling in the context of a circular economy.

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“…A factor is considered statistically significant if the probability value (p-value) is lower than the predetermined significance level (α) [57]. F-value and percentage contribution were used to represent the relative significance of the factors [54,58,59]. The F-value or percentage contribution is used to quantify the relative importance of these factors.…”

Section: Optimisation Of Process Parametersmentioning

confidence: 99%

Fabrication and Characterisation of Sustainable 3D-Printed Parts Using Post-Consumer PLA Plastic and Virgin PLA Blends

Hasan,

Davies,

Paramanik

et al. 2024

Processes

View full text Add to dashboard Cite

Sustainable manufacturing practices are becoming increasingly necessary due to the growing concerns regarding climate change and resource scarcity. Consequently, material recycling technologies have gradually become preferred over conventional processes. This study aimed to recycle waste polylactic acid (PLA) from household-disposed cups and lids to create 3D-printed parts and promote sustainable manufacturing practices. To achieve this, the current study utilised virgin and post-consumer PLA (PC-PLA) (sourced from household waste) blends. The PC-PLA wastes were shredded and sorted by size with the aid of a washing step, resulting in a filament with a 1.70 ± 0.5 mm diameter without fragmentation or dissolution. A 50:50 wt.% blend of virgin PLA (vPLA) and PC-PLA was selected as the standard recycling percentage based on previous research and resource conservation goals. The study investigated the impact of three 3D printing parameters (layer height (LH), infill density (I), and nozzle temperature (NT)) on the quality of 3D-printed parts using a three-level L9 Taguchi orthogonal array. The findings revealed that blending PC-PLA with vPLA led to significant improvements in tensile, flexural, and impact strengths by 18.40%, 8%, and 9.15%, respectively, compared to those of recycled PLA (rPLA). This conclusion was supported by the investigation of the fracture surface area, which revealed fractographic features associated with printing parameters, such as plastic deformation and interfilament debonding. An ANOVA analysis revealed a positive influence of a greater layer height and high nozzle temperature on mechanical properties. Subsequently, the optimal printing parameters (LH: 0.3 mm, I: 100%, and NT: 215 °C) were determined using the S/N ratio, and a confirmation test using the optimum printing parameters exhibited a strong correlation with the statistically predicted outcomes. Finally, the study used optimum printing parameters to fabricate 100% PC-PLA 3D-printed parts, demonstrating their potential for low-strength applications. The findings suggest that employing vPLA and PC-PLA blended filaments for fabricating 3D-printed components presents an effective means of promoting plastic recycling within a closed-loop recycling system and achieving a circular economy.

show abstract

A study on the prediction of bead geometry in the robotic welding system

Cited by 11 publications

References 10 publications

A Quality Improvement Approach for Resistance Spot Welding using Multi-objective Taguchi Method and Response Surface Methodology

A Quality Improvement Approach for Resistance Spot Welding using Multi-objective Taguchi Method and Response Surface Methodology

Fabrication and Characterisation of Sustainable 3D Printed Parts Using Post-consumer PLA Plastic and Virgin PLA Blends

Fabrication and Characterisation of Sustainable 3D-Printed Parts Using Post-Consumer PLA Plastic and Virgin PLA Blends

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